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Zhang YQ, Sun LP, He T, Guo LH, Liu H, Xu G, Zhao H, Wang Q, Wang J, Yang KF, Song GC, Zhou BY, Xu HX, Zhao CK. A 5G-based telerobotic ultrasound system provides qualified abdominal ultrasound services for patients on a rural island: a prospective and comparative study of 401 patients. Abdom Radiol (NY) 2024; 49:942-957. [PMID: 38102443 DOI: 10.1007/s00261-023-04123-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 11/01/2023] [Accepted: 11/03/2023] [Indexed: 12/17/2023]
Abstract
PURPOSE To explore the feasibility of a 5G-based telerobotic ultrasound (US) system for providing qualified abdominal US services on a rural island. METHODS This prospective study involved two medical centers (the tele-radiologist site's hospital and the patient site's hospital) separated by 72 km. Patients underwent 5G-based telerobotic US by tele-radiologists and conventional US by on-site radiologists from September 2020 to March 2021. The clinical feasibility and diagnostic performance of the 5G-based telerobotic abdominal US examination were assessed based on safety, duration, image quality, diagnostic findings, and questionnaires. RESULTS A total of 401 patients (217 women and 184 men; mean age, 54.96 ± 15.43 years) were enrolled. A total of 90.1% of patients indicated no discomfort with the telerobotic US examination. For the examination duration, telerobotic US took longer than conventional US (12.54 ± 3.20 min vs. 7.23 ± 2.10 min, p = 0.001). For image quality scores, the results of the two methods were similar (4.54 ± 0.63 vs. 4.57 ± 0.61, p = 0.112). No significant differences were found between the two methods in measurements for the aorta, portal vein, gallbladder, kidney (longitudinal diameter), prostate, and uterus; however, telerobotic US underestimated the transverse diameter of the kidney (p < 0.05). A total of 504 positive results, including 31 different diseases, were detected. Among them, 455 cases were identified by the two methods; 17 cases were identified by telerobotic US only; and 32 cases were identified by conventional US only. There was good consistency in the diagnosis of 29 types of disease between the two methods (κ = 0.773-1.000). Furthermore, more than 90% of patients accepted the telerobotic US examination and agreed to pay additional fees in future. CONCLUSION The 5G-based telerobotic US system can expand access to abdominal US services for patients in rural areas, thereby reducing health care disparities.
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Affiliation(s)
- Ya-Qin Zhang
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, 200032, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
| | - Tian He
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
| | - Hui Liu
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
| | - Guang Xu
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
| | - Hui Zhao
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
| | - Qiao Wang
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
| | - Jing Wang
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, 200072, China
| | - Kai-Feng Yang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital Chongming Branch, Shanghai, 200072, China
| | - Guo-Chao Song
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital Chongming Branch, Shanghai, 200072, China
| | - Bo-Yang Zhou
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, 200032, China
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, 200032, China.
| | - Chong-Ke Zhao
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, 200032, China.
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Duan LL, Zhao YB, Er YL, Ye PP, Wang W, Gao X, Deng X, Jin Y, Wang Y, Ji CR, Ma XY, Gao C, Zhao YH, Zhu SQ, Su SZ, Guo XE, Peng JJ, Yu Y, Yang C, Su YY, Zhao M, Guo LH, Wu YP, Luo YN, Meng RL, Xu HF, Liu HZ, Ruan HH, Xie B, Zhang HM, Liao YH, Chen Y, Wang LH. [The effect of Ba Duan Jin on the balance of community-dwelling older adults: a cluster randomized control trial]. Zhonghua Liu Xing Bing Xue Za Zhi 2024; 45:250-256. [PMID: 38413065 DOI: 10.3760/cma.j.cn112338-20230506-00283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 02/29/2024]
Abstract
Objective: To assess the effectiveness of a 6-month Ba Duan Jin exercise program in improving the balance of community-dwelling older adults. Methods: A two arms, parallel-group, cluster randomized controlled trial was conducted in 1 028 community residents aged 60-80 years in 40 communities in 5 provinces of China. Participants in the intervention group (20 communities, 523 people) received Ba Duan Jin exercise 5 days/week, 1 hour/day for 6 months, and three times of falls prevention health education, and the control group (20 communities, 505 people) received falls prevention health education same as the intervention group. The Berg balance scale (BBS) score was the leading outcome indicator, and the secondary outcome indicators included the length of time of standing on one foot (with eyes open and closed), standing in a tandem stance (with eyes open and closed), the closed circle test, and the timed up to test. Results: A total of 1 028 participants were included in the final analysis, including 731 women (71.11%) and 297 men (28.89%), and the age was (69.87±5.67) years. After the 3-month intervention, compared with the baseline data, the BBS score of the intervention group was significantly higher than the control group by 3.05 (95%CI: 2.23-3.88) points (P<0.001). After the 6-month intervention, compared with the baseline data, the BBS score of the intervention group was significantly higher than the control group by 4.70 (95%CI: 4.03-5.37) points (P<0.001). Ba Duan Jin showed significant improvement (P<0.05) in all secondary outcomes after 6 months of exercise in the intervention group compared with the control group. Conclusions: This study showed that Ba Duan Jin exercise can improve balance in community-dwelling older adults aged 60-80. The longer the exercise time, the better the improvement.
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Affiliation(s)
- L L Duan
- Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Y B Zhao
- Shijiazhuang People's Hospital, Shijiazhuang 050031, China
| | - Y L Er
- Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - P P Ye
- Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - W Wang
- National Clinical Research Center for Cardiovascular Diseases/National Center for Cardiovascular Diseases/Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing 100037, China
| | - X Gao
- Office of Chronic Disease and Ageing Health Management, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X Deng
- Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Y Jin
- Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Y Wang
- Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - C R Ji
- Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - X Y Ma
- Institute for Chronic and Non-communicable Disease Control and Prevention, Shijiazhuang Municipal Center for Disease Control and Prevention, Shijiazhuang 050011, China
| | - C Gao
- Institute for Chronic and Non-communicable Disease Control and Prevention, Shijiazhuang Municipal Center for Disease Control and Prevention, Shijiazhuang 050011, China
| | - Y H Zhao
- Shijiazhuang Chang'an District Center for Disease Control and Prevention, Shijiazhuang 050011, China
| | - S Q Zhu
- Department of Chronic Prevention and Control, Shijiazhuang Chang'an District Center for Disease Control and Prevention, Shijiazhuang 050011, China
| | - S Z Su
- Department of Nursing, Shijiazhuang Hospital of Traditional Chinese Medicine, Shijiazhuang 050051, China
| | - X E Guo
- Department of Nursing, Shijiazhuang Hospital of Traditional Chinese Medicine, Shijiazhuang 050051, China
| | - J J Peng
- Department of Injury Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - Y Yu
- Department of Injury Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai 200336, China
| | - C Yang
- Department of Cancer and Injury Control and Prevention, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai 200136, China
| | - Y Y Su
- Department of Cancer and Injury Control and Prevention, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai 200136, China
| | - M Zhao
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - L H Guo
- Department of Chronic and Non-communicable Disease Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Y P Wu
- General Office, Cixi Municipal Center for Disease Control and Prevention of Zhejiang Province, Ningbo 315302, China
| | - Y N Luo
- General Office, Cixi Municipal Center for Disease Control and Prevention of Zhejiang Province, Ningbo 315302, China
| | - R L Meng
- Department of Chronic and Non-communicable Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511483, China
| | - H F Xu
- Department of Chronic and Non-communicable Disease Control and Prevention, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511483, China
| | - H Z Liu
- Guangzhou Municipal Center for Disease Control and Prevention, Guangzhou 510440, China
| | - H H Ruan
- Department of Chronic and Non-communicable Disease Control and Prevention, Chronic Disease Prevention and Control Station of Guangzhou Panyu District, Guangzhou 511400, China
| | - B Xie
- Department of Psychiatric, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen 518054, China
| | - H M Zhang
- Department of Psychiatric, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen 518054, China
| | - Y H Liao
- Department of Psychiatric, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen 518054, China
| | - Y Chen
- Department of Psychiatric, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen 518054, China
| | - L H Wang
- Division of Injury Prevention and Mental Health, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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Wang LF, Ni N, Hou JJ, Wang S, Wang JY, Wang Q, Zhu AQ, Zhang YQ, Ren WW, Chen ZT, Shan DD, Zhao YJ, Guo LH, Xu HX. Assessment of the Diagnostic Performance of Clinical Examinations and High-Frequency Ultrasound in Patients With Pigmented Skin Tumors. J Ultrasound Med 2024; 43:151-160. [PMID: 37812196 DOI: 10.1002/jum.16348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 09/14/2023] [Accepted: 09/23/2023] [Indexed: 10/10/2023]
Abstract
OBJECTIVES To investigate whether the integration of high-frequency ultrasound (HFUS) to routine clinical examinations could improve diagnostic performance and management decision for pigmented skin tumors. METHODS Three general practitioners trained previously and a dermatologist independently assessed pigmented skin tumors and rendered management decision based on clinical examinations alone or clinical examinations integrating HFUS. RESULTS After integrating HFUS, the diagnostic area under the curve (AUC) (0.658-0.693 versus 0.848, all P < .05) and specificity (46.6-58.6% versus 89.7%, all P < .05) for pigmented skin malignancies were improved for general practitioners, meanwhile unnecessary biopsy rate reduced (42.9-53.6% versus 10.7%, P < .001). To the dermatologist, the diagnostic AUC (0.822 versus 0.949, P < .001), sensitivity (81.7% versus 96.7%, P = .012) and specificity (0.828 versus 0.931, P = .031) improved significantly, meanwhile both missed biopsy rate (14.5% versus 4.8%, P = .031) and unnecessary biopsy rate (19.6% versus 7.1%, P = .016) decreased. Additionally, the diagnostic performance of the general practitioner with integrating HFUS could be comparable with the dermatologist based on clinical examinations alone (all P > .05). CONCLUSIONS As a complementary tool of clinical examinations, HFUS could help physicians differentiate pigmented skin malignancies and manage decision.
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Affiliation(s)
- Li-Fan Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Na Ni
- Department of Dermatologic Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Jing-Jing Hou
- School of Medicine, Tongji University, Shanghai, China
| | - Sha Wang
- School of Medicine, Tongji University, Shanghai, China
| | - Jing-Yi Wang
- School of Medicine, Tongji University, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - An-Qi Zhu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Ya-Qin Zhang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Zi-Tong Chen
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Dan-Dan Shan
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Yu-Jing Zhao
- Department of Medical Imaging, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
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Zhu AQ, Wang Q, Shi YL, Ren WW, Cao X, Ren TT, Wang J, Zhang YQ, Sun YK, Chen XW, Lai YX, Ni N, Chen YC, Hu JL, Mou LC, Zhao YJ, Liu YQ, Sun LP, Zhu XX, Xu HX, Guo LH. A deep learning fusion network trained with clinical and high-frequency ultrasound images in the multi-classification of skin diseases in comparison with dermatologists: a prospective and multicenter study. EClinicalMedicine 2024; 67:102391. [PMID: 38274117 PMCID: PMC10808933 DOI: 10.1016/j.eclinm.2023.102391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/07/2023] [Accepted: 12/07/2023] [Indexed: 01/27/2024] Open
Abstract
Background Clinical appearance and high-frequency ultrasound (HFUS) are indispensable for diagnosing skin diseases by providing internal and external information. However, their complex combination brings challenges for primary care physicians and dermatologists. Thus, we developed a deep multimodal fusion network (DMFN) model combining analysis of clinical close-up and HFUS images for binary and multiclass classification in skin diseases. Methods Between Jan 10, 2017, and Dec 31, 2020, the DMFN model was trained and validated using 1269 close-ups and 11,852 HFUS images from 1351 skin lesions. The monomodal convolutional neural network (CNN) model was trained and validated with the same close-up images for comparison. Subsequently, we did a prospective and multicenter study in China. Both CNN models were tested prospectively on 422 cases from 4 hospitals and compared with the results from human raters (general practitioners, general dermatologists, and dermatologists specialized in HFUS). The performance of binary classification (benign vs. malignant) and multiclass classification (the specific diagnoses of 17 types of skin diseases) measured by the area under the receiver operating characteristic curve (AUC) were evaluated. This study is registered with www.chictr.org.cn (ChiCTR2300074765). Findings The performance of the DMFN model (AUC, 0.876) was superior to that of the monomodal CNN model (AUC, 0.697) in the binary classification (P = 0.0063), which was also better than that of the general practitioner (AUC, 0.651, P = 0.0025) and general dermatologists (AUC, 0.838; P = 0.0038). By integrating close-up and HFUS images, the DMFN model attained an almost identical performance in comparison to dermatologists (AUC, 0.876 vs. AUC, 0.891; P = 0.0080). For the multiclass classification, the DMFN model (AUC, 0.707) exhibited superior prediction performance compared with general dermatologists (AUC, 0.514; P = 0.0043) and dermatologists specialized in HFUS (AUC, 0.640; P = 0.0083), respectively. Compared to dermatologists specialized in HFUS, the DMFN model showed better or comparable performance in diagnosing 9 of the 17 skin diseases. Interpretation The DMFN model combining analysis of clinical close-up and HFUS images exhibited satisfactory performance in the binary and multiclass classification compared with the dermatologists. It may be a valuable tool for general dermatologists and primary care providers. Funding This work was supported in part by the National Natural Science Foundation of China and the Clinical research project of Shanghai Skin Disease Hospital.
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Affiliation(s)
- An-Qi Zhu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Yi-Lei Shi
- MedAI Technology (Wuxi) Co., Ltd., Wuxi, China
| | - Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Xu Cao
- MedAI Technology (Wuxi) Co., Ltd., Wuxi, China
| | - Tian-Tian Ren
- Department of Medical Ultrasound, Ma'anshan People's Hospital, Ma'anshan, China
| | - Jing Wang
- Department of Ultrasound, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
| | - Ya-Qin Zhang
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China
| | - Yi-Kang Sun
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China
| | - Xue-Wen Chen
- Department of Dermatological Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yong-Xian Lai
- Department of Dermatological Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Na Ni
- Department of Dermatological Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yu-Chong Chen
- Department of Dermatological Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | | | - Li-Chao Mou
- MedAI Technology (Wuxi) Co., Ltd., Wuxi, China
| | - Yu-Jing Zhao
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ye-Qiang Liu
- Department of Pathology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Xiao-Xiang Zhu
- Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - China Alliance of Multi-Center Clinical Study for Ultrasound (Ultra-Chance)
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- MedAI Technology (Wuxi) Co., Ltd., Wuxi, China
- Department of Medical Ultrasound, Ma'anshan People's Hospital, Ma'anshan, China
- Department of Ultrasound, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Sciences, Shanghai, China
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China
- Department of Dermatological Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Department of Pathology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
- Chair of Data Science in Earth Observation, Technical University of Munich, Munich, Germany
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Zhou YJ, Guo LH, Bo XW, Sun LP, Zhang YF, Chai HH, Ye RZ, Peng CZ, Qin C, Xu HX. Tele-Mentored Handheld Ultrasound System for General Practitioners: A Prospective, Descriptive Study in Remote and Rural Communities. Diagnostics (Basel) 2023; 13:2932. [PMID: 37761299 PMCID: PMC10530153 DOI: 10.3390/diagnostics13182932] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 09/04/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
BACKGROUND Rural general practitioners (GPs) have insufficient diagnostic information to deal with complex clinical scenarios due to the inequality in medical imaging resources in rural and remote communities. The objective of this study is to explore the value of a tele-mentored handheld ultrasound (tele-HHUS) system, allowing GPs to provide ultrasound (US) services in rural and remote communities. METHODS Overall, 708 patients underwent tele-HHUS examination between March and October 2021 and March and April 2022 across thirteen primary hospitals and two tertiary-care general hospitals. All US examinations were guided and supervised remotely in real time by US experts more than 300 km away using the tele-HHUS system. The following details were recorded: location of tele-HHUS scanning, primary complaints, clinical diagnosis, and US findings. The recommendations (referral or follow-up) based on clinical experience alone were compared with those based on clinical experience with tele-HHUS information. RESULTS Tele-HHUS examinations were performed both in hospital settings (90.6%, 642/708) and out of hospital settings (9.4%, 66/708). Leaving aside routine physical examinations, flank pain (14.2%, 91/642) was the most common complaint in inpatients, while chest distress (12.1%, 8/66) and flank discomfort (12.1%, 8/66) were the most common complaints in out-of-hospital settings. Additionally, the referral rate increased from 5.9% to 8.3% (kappa = 0.202; p = 0.000). CONCLUSIONS The tele-HHUS system can help rural GPs perform HHUS successfully in remote and rural communities. This novel mobile telemedicine model is valuable in resource-limited areas.
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Affiliation(s)
- Yu-Jing Zhou
- Department of Medical Ultrasound, Jinshan Hospital, Fudan University, Shanghai 201508, China;
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University, Shanghai 200072, China; (L.-H.G.); (X.-W.B.); (L.-P.S.); (Y.-F.Z.); (H.-H.C.)
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Xiao-Wan Bo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University, Shanghai 200072, China; (L.-H.G.); (X.-W.B.); (L.-P.S.); (Y.-F.Z.); (H.-H.C.)
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University, Shanghai 200072, China; (L.-H.G.); (X.-W.B.); (L.-P.S.); (Y.-F.Z.); (H.-H.C.)
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Yi-Feng Zhang
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University, Shanghai 200072, China; (L.-H.G.); (X.-W.B.); (L.-P.S.); (Y.-F.Z.); (H.-H.C.)
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Hui-Hui Chai
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University, Shanghai 200072, China; (L.-H.G.); (X.-W.B.); (L.-P.S.); (Y.-F.Z.); (H.-H.C.)
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Rui-Zhong Ye
- Department of Ultrasound Medicine, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou 310014, China;
| | - Cheng-Zhong Peng
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University, Shanghai 200072, China; (L.-H.G.); (X.-W.B.); (L.-P.S.); (Y.-F.Z.); (H.-H.C.)
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Chuan Qin
- Department of Medical Ultrasound, Jinshan Hospital, Fudan University, Shanghai 201508, China;
- Department of Ultrasound, Karamay Central Hospital, Karamay 834000, China
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China;
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Ren WW, Wu L, Wang Q, Shan DD, Wang LF, Chen ZT, Li L, Sun LP, Guo LH, Xu HX. The Value of Ultrasound for Differentiating Trichilemmal Cysts From Epidermoid Cysts. J Ultrasound Med 2023; 42:1941-1950. [PMID: 36896489 DOI: 10.1002/jum.16211] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 02/13/2023] [Accepted: 02/19/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVES This study was aimed to evaluate the diagnostic performance of ultrasound (US) in differentiating trichilemmal cysts (TCs) from epidermoid cysts (ECs). METHODS Based on clinical and ultrasound features, a prediction model was established and validated. 164 cysts in the pilot cohort and another 69 in the validation cohort diagnosed with TCs or ECs histopathologically were evaluated. The same radiologist performed all ultrasound examinations. RESULTS For clinic features, TCs tended to occur in females compared with ECs (66.7 vs 28.5%; P < .001). In addition, TCs were prone to occur in the hairy area compared with ECs (77.8 vs 13.1%; P < .001). For ultrasound features, the internal hyperechogenicity and cystic change were more likely to appear in TCs in comparison with ECs (92.6 vs 25.5%; P < .001; 70.4 vs 23.4%; P < .001, respectively). Upon the features mentioned above, a prediction model was established with the areas under the receiver operating characteristic curves of 0.936 and 0.864 in the pilot and validation cohorts, respectively. CONCLUSIONS US is promising for differentiating TCs from ECs and is valuable for their clinical management.
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Affiliation(s)
- Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Ling Wu
- Department of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Dan-Dan Shan
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Li-Fan Wang
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zi-Tong Chen
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Liang Li
- Department of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
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Chen ZT, Jin FS, Guo LH, Li XL, Wang Q, Zhao H, Sun LP, Xu HX. Correction: Value of conventional ultrasound and shear wave elastography in the assessment of muscle mass and function in elderly people with type 2 diabetes. Eur Radiol 2023; 33:6619. [PMID: 37042983 DOI: 10.1007/s00330-023-09570-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2023]
Affiliation(s)
- Zi-Tong Chen
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Feng-Shan Jin
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Le-Hang Guo
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.
- National Clinical Research Center for Interventional Medicine, Shanghai, China.
| | - Xiao-Long Li
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiao Wang
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui Zhao
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Li-Ping Sun
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
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Chen ZT, Jin FS, Guo LH, Li XL, Wang Q, Zhao H, Sun LP, Xu HX. Value of conventional ultrasound and shear wave elastography in the assessment of muscle mass and function in elderly people with type 2 diabetes. Eur Radiol 2023; 33:4007-4015. [PMID: 36648552 DOI: 10.1007/s00330-022-09382-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/01/2022] [Accepted: 12/12/2022] [Indexed: 01/18/2023]
Abstract
OBJECTIVES We assessed muscle mass and function using ultrasound (US) and shear wave elastography (SWE) for sarcopenia in elderly patients with type 2 diabetes. METHODS There were 84 patients with type 2 diabetes enrolled in this study; of these, 30 had sarcopenia and 54 did not. We measured appendicular skeletal muscle mass index (ASMI), handgrip strength, calf circumference, 6-m walking speed, and 5-time chair stand test. All patients were in the supine position with their knees in straight and bent poses in turn. The US-derived thickness (Tstraight, Tbent), cross-sectional area (CSAstraight, CSAbent), and SWE (SWEstraight, SWEbent) of the rectus femoris muscle (RFM) were measured and the differences (ΔT, ΔCSA, ΔSWE) were calculated. We assessed the correlations of clinical indicators with US and SWE features. We then compared the clinical indicators and US and SWE features between patients with and without sarcopenia to determine independent predictors. Diagnostic models were established based on these independent predictors. RESULTS The ASMI was correlated with Tbent (r = 0.57, p < 0.001) and CSAbent (r = 0.50, p < 0.001). Handgrip strength was correlated with Tbent (r = 0.53, p < 0.001) and CSAbent (r = 0.51, p < 0.001). Between patients with and without sarcopenia, the indicators of age, ΔCSA, and ΔSWE were statically different (all p ≤ 0.001). Based on these results, a diagnostic model for sarcopenia was established with 83.3% sensitivity, 83.3% specificity, and 83.3% accuracy. CONCLUSIONS In elderly people with type 2 diabetes, sarcopenia patients had smaller muscle CSA and less stiffness than non-sarcopenia patients. US and SWE might be useful to screen them. KEY POINTS • Sarcopenia is common in elderly people with type 2 diabetes. • Ultrasound and shear wave elastography might be useful methods for quantitatively assessing muscle mass and strength. • Ultrasound and shear wave elastography might be useful methods for screening sarcopenia in elderly patients with type 2 diabetes.
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Affiliation(s)
- Zi-Tong Chen
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Feng-Shan Jin
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Le-Hang Guo
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.
- National Clinical Research Center for Interventional Medicine, Shanghai, China.
| | - Xiao-Long Li
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Qiao Wang
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui Zhao
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Li-Ping Sun
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
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Li XL, Liu L, Li DD, He YP, Guo LH, Sun LP, Liu LN, Xu HX, Zhang XP. Author Correction: Integrin β4 promotes cell invasion and epithelial-mesenchymal transition through the modulation of Slug expression in hepatocellular carcinoma. Sci Rep 2023; 13:2118. [PMID: 36747046 PMCID: PMC9902567 DOI: 10.1038/s41598-023-29191-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Affiliation(s)
- Xiao-Long Li
- grid.24516.340000000123704535Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072 China
| | - Lin Liu
- grid.24516.340000000123704535Department of Interventional & Vascular Surgery, Tongji University School of Medicine, Shanghai, 200072 China
| | - Dan-Dan Li
- grid.24516.340000000123704535Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072 China
| | - Ya-Ping He
- grid.24516.340000000123704535Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072 China
| | - Le-Hang Guo
- grid.24516.340000000123704535Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072 China
| | - Li-Ping Sun
- grid.24516.340000000123704535Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072 China
| | - Lin-Na Liu
- grid.24516.340000000123704535Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072 China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China.
| | - Xiao-Ping Zhang
- Department of Interventional & Vascular Surgery, Tongji University School of Medicine, Shanghai, 200072, China.
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Zhang YQ, Wang LF, Ni N, Li XL, Zhu AQ, Guo LH, Wang Q, Xu HX. The value of ultra-high frequency ultrasound for the differentiation between superficial basal cell carcinoma and Bowen's disease. Dermatology 2023:000529448. [PMID: 36731445 DOI: 10.1159/000529448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 01/22/2023] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND The similar visual appearance of superficial basal cell carcinoma (sBCC) and Bowen's disease (BD) may cause confusion for diagnosis. OBJECTIVE To investigate the value of ultra-high frequency ultrasound (uHFUS) in differentiating sBCC from BD. MATERIALS AND METHODS This prospective study included a pilot cohort of 110 patients (73 BDs and 37 sBCCs) from November 2016 to October 2020 and a validation cohort of 42 patients (30 BDs and 12 sBCCs) from July 2021 to December 2021. Clinical and uHFUS features of pathologically confirmed sBCC and BD were assessed. A predictive model was developed based on the HFUS features of the pilot cohort. Subsequently, the model was validated and compared with clinical diagnosis in the validation cohort. RESULTS uHFUS features with significant differences between sBCC and BD included lesion surface, skin layer involvement, hyperkeratosis, and hyperechoic spots (all p < 0.05). A prediction model based on the above features was established to identify sBCC and BD in the pilot and validation cohorts with the areas under the curve (AUC) of 0.908 and 0.923, sensitivity of 82.3% and 83.3%, specificity of 91.9% and 91.7%, accuracy of 85.5% and 85.7%, respectively, which was significantly higher than those obtained by clinical diagnosis based on photographic pictures of lesions, with the AUC of 0.692, sensitivity of 63.3%, specificity of 75.3%, and accuracy of 66.7% (all p < 0.05). CONCLUSION uHFUS provides detailed internal features of sBCC and BD, which facilitates the differentiation between sBCC and BD and its diagnostic performance is superior to clinical diagnosis.
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He T, Pu YY, Zhang YQ, Qian ZB, Guo LH, Sun LP, Zhao CK, Xu HX. 5G-Based Telerobotic Ultrasound System Improves Access to Breast Examination in Rural and Remote Areas: A Prospective and Two-Scenario Study. Diagnostics (Basel) 2023; 13:diagnostics13030362. [PMID: 36766467 PMCID: PMC9913989 DOI: 10.3390/diagnostics13030362] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/15/2023] [Accepted: 01/16/2023] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVE Ultrasound (US) plays an important role in the diagnosis and management of breast diseases; however, effective breast US screening is lacking in rural and remote areas. To alleviate this issue, we prospectively evaluated the clinical availability of 5G-based telerobotic US technology for breast examinations in rural and remote areas. METHODS Between September 2020 and March 2021, 63 patients underwent conventional and telerobotic US examinations in a rural island (Scenario A), while 20 patients underwent telerobotic US examination in a mobile car located in a remote county (Scenario B) in May 2021. The safety, duration, US image quality, consistency, and acceptability of the 5G-based telerobotic US were assessed. RESULTS In Scenario A, the average duration of the telerobotic US procedure was longer than that of conventional US (10.3 ± 3.3 min vs. 7.6 ± 3.0 min, p = 0.017), but their average imaging scores were similar (4.86 vs. 4.90, p = 0.159). Two cases of gynecomastia, one of lactation mastitis, and one of postoperative breast effusion were diagnosed and 32 nodules were detected using the two US methods. There was good interobserver agreement between the US features and BI-RADS categories of the identical nodules (ICC = 0.795-1.000). In Scenario B, breast nodules were detected in 65% of the patients using telerobotic US. Its average duration was 10.1 ± 2.3 min, and the average imaging score was 4.85. Overall, 90.4% of the patients were willing to choose telerobotic US in the future, and tele-sonologists were satisfied with 85.5% of the examinations. CONCLUSION The 5G-based telerobotic US system is feasible for providing effective breast examinations in rural and remote areas.
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Affiliation(s)
- Tian He
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Yin-Ying Pu
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Ya-Qin Zhang
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Zhe-Bin Qian
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
- Department of Medical Ultrasound, Chongming Second People’s Hospital, Shanghai 202157, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai 200072, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai 200072, China
- Department of Medical Ultrasound, Chongming Second People’s Hospital, Shanghai 202157, China
- Correspondence: (L.-P.S.); (C.-K.Z.)
| | - Chong-Ke Zhao
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Correspondence: (L.-P.S.); (C.-K.Z.)
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Wang D, Zhao CK, Wang HX, Lu F, Li XL, Guo LH, Sun LP, Fu HJ, Zhang YF, Xu HX. Ultrasound-based computer-aided diagnosis for cytologically indeterminate thyroid nodules with different radiologists. Clin Hemorheol Microcirc 2022; 82:217-230. [PMID: 35848013 DOI: 10.3233/ch-221423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
PURPOSE To evaluate a computer-aided diagnosis (CAD) technique in predicting malignancy for cytologically indeterminate thyroid nodules (TNs) as compared with different experienced radiologists. METHOD 436 patients with 436 cytologically indeterminate TNs on fine-needle aspiration cytology (FNAC) were included and all were confirmed by surgical pathology. They were retrospectively analyzed with respect to ultrasound (US) characteristics using a commercially available CAD system (AmCAD-UT; AmCad BioMed, Taiwan, China) and reviewed by one junior and one senior radiologists.The CAD system and different experienced radiologists stratified the risk of malignancy using ACR TI-RADS category. The diagnostic performance by different experienced radiologists independently and after consulting the CAD (different experienced radiologists + CAD) and by the CAD alone were compared. RESULTS The different experienced radiologists showed significantly higher specificities than the CAD system alone. The combination of radiologist and CAD system showed improved diagnostic performance with an AUC (Area under the curve) of 0.740 in the senior radiologist and 0.677 in the junior radiologist, as compared with CAD (AUC: 0.585) alone (all P < 0.05). The combination of senior radiologist and CAD system had the highest diagnostic performance (AUC: 0.740) and specificity (68.9%) compared to the others (all P < 0.05). CONCLUSION The CAD system may play the potential role as a decision-making assistant alongside radiologists for differential diagnosis of TNs with indeterminate cytology.
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Affiliation(s)
- Dan Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Chong-Ke Zhao
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China
| | - Han-Xiang Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Feng Lu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Hui-Jun Fu
- Department of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yi-Feng Zhang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Institute of Ultrasound in Medicine and Engineering, Fudan University, Shanghai, China
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Zhou BY, Shi YL, Guo LH, Mou LC, Zhu XX, Zhao CK. [Artificial intelligence technology enables ultrasonography in precision diagnosisand treatment of liver diseases]. Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi 2022; 34:458-464. [PMID: 36464264 DOI: 10.16250/j.32.1374.2022148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Liver disease is one of the major problems affecting human health. Ultrasound plays an important role in diagnosis and treatment of diffuse and focal liver diseases. However, conventional ultrasound evaluation is subjective and provides limited information. Artificial intelligence (AI) technology may supplement the disadvantages of conventional ultrasound and has been widely used in the field of ultrasound in liver diseases. To date, remarkable progress has been achieved for the use of AI technology in the diagnosis, assessment of therapeutic efficacy and prognosis prediction of liver diseases. This paper reviews the research progress of ultrasound image-based AI technology in the diagnosis and treatment of diffuse and focal liver diseases.
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Affiliation(s)
- B Y Zhou
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
- Co-first authors
| | - Y L Shi
- MedAI Technology (Wuxi) Co. Ltd, Wuxi, Jiangsu 214091, China
- Technical University of Munich, Munich, Bavaiia 80539, Germany
- Co-first authors
| | - L H Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai 200072, China
| | - L C Mou
- MedAI Technology (Wuxi) Co. Ltd, Wuxi, Jiangsu 214091, China
- Technical University of Munich, Munich, Bavaiia 80539, Germany
| | - X X Zhu
- MedAI Technology (Wuxi) Co. Ltd, Wuxi, Jiangsu 214091, China
| | - C K Zhao
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai 200032, China
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Bo XW, Sun LP, Wan J, Sun YK, Zhang YQ, He T, Qian ZB, Qin C, Guo LH, Xu HX. Accuracy of point-of-care tele-ultrasonography for assisting ultrasound-naive resident doctors in detecting lower-limb deep venous thrombosis: A prospective controlled trial. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2022]
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15
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Zhang YQ, Yin HH, He T, Guo LH, Zhao CK, Xu HX. Clinical application of a 5G-based telerobotic ultrasound system for thyroid examination on a rural island: a prospective study. Endocrine 2022; 76:620-634. [PMID: 35182363 PMCID: PMC8857403 DOI: 10.1007/s12020-022-03011-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 01/29/2022] [Indexed: 12/16/2022]
Abstract
PURPOSE To evaluate the feasibility of a 5G-based telerobotic ultrasound (US) system for thyroid examination on a rural island. METHODS From September 2020 to March 2021, this prospectively study enrolled a total of 139 patients (average age, 58.6 ± 12.7 years) included 33 males and 106 females, who underwent 5G-based telerobotic thyroid US examination by a tele-doctor at Shanghai Tenth People's Hospital and a conventional thyroid US examination at Chongming Second People's Hospital 84 km away. The clinical feasibility of 5G-based telerobotic US for thyroid examination were evaluated in terms of safety, duration, US image quality, diagnostic results, and questionnaire survey. RESULTS 92.8% of patients had no examination-related complaints. The average duration of the 5G-based telerobotic US examination was similar as that of conventional US examination (5.57 ± 2.20 min vs. 5.23 ± 2.1 min, P = 0.164). The image quality of telerobotic US correlated well with that of conventional US (4.63 ± 0.60 vs. 4.65 ± 0.61, P = 0.102). There was no significant difference between two types of US examination methods for the diameter measurement of the thyroid, cervical lymph nodes, and thyroid nodules. Two lymphadenopathies and 20 diffuse thyroid diseases were detected in two types of US methods. 124 thyroid nodules were detected by telerobotic US and 127 thyroid nodules were detected by conventional US. Among them, 122 were the same thyroid nodules. In addition, there were good consistency in the US features (component, echogenicity, shape, and calcification) and ACR TI-RADS category of the same thyroid nodules between telerobotic and conventional US examinations (ICC = 0.788-0.863). 85.6% of patients accepted the telerobotic US, and 87.1% were willing to pay extra fee for the telerobotic US. CONCLUSION The 5G-based telerobotic US system can be a routine diagnostic tool for thyroid examination for patients on a rural island.
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Affiliation(s)
- Ya-Qin Zhang
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hao-Hao Yin
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Tian He
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital Chongming Branch, Shanghai, China
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.
- National Clinical Research Center for Interventional Medicine, Shanghai, China.
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Center of Minimally Invasive Treatment for Tumor, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.
- National Clinical Research Center for Interventional Medicine, Shanghai, China.
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China.
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16
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Shan DD, Wu NH, Wang Q, Ren WW, Zhu AQ, Wang LF, Liu YQ, Sun LP, Guo LH, Xu HX. Value of pseudopod sign on high-frequency ultrasound in predicting the pathological invasion of extramammary Paget's disease lesions. J Eur Acad Dermatol Venereol 2022; 36:1235-1245. [PMID: 35344636 DOI: 10.1111/jdv.18104] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 03/04/2022] [Indexed: 12/07/2022]
Abstract
BACKGROUND Vertical invasion of extramammary Paget's disease (EMPD) is associated with poor prognosis. The usual vertical invasion route is directly downward or along the skin appendages. High-frequency ultrasound (HFUS) can be used to measure the EMPD lesion thickness, and visualize the pseudopod extensions due to skin appendage involvement. It is a non-invasive method for evaluating the extent of vertical invasion in EMPD. OBJECTIVE To investigate the value of HFUS in predicting the extent of vertical invasion in EMPD. METHODS In this retrospective study, 85 patients with EMPD were divided into two groups based on the pathology: invasive EMPD (iEMPD) group (n = 13) and in situ EMPD group (n = 72). The clinical and HFUS features of both the groups were analyzed. The different types of pseudopodia morphology on HFUS were as follows: no pseudopodia, irregular bottom, small sphere, short strip, long strip, vase shape, and nodular convex. These were further stratified into low-risk and high-risk levels. RESULTS The clinical features were comparable between the two groups (P > .05). There were significant differences between the two groups in the HFUS features (lesion thickness, lesion shape, bottom shape, layer involvement, pseudopodia morphology, and color Doppler blood flow signal; all P < .05). The distribution of the pseudopodia morphology types in the in situ EMPD and iEMPD groups, was as follows: no pseudopodia, 30/72 and 0/13; irregular bottom, 5/72 and 0/13; small sphere, 5/72 and 0/13; short strip, 21/72 and 0/13; long strip, 8/72 and 3/13; vase shape, 3/72 and 3/13; and nodular convex, 0/72 and 7/13 (P < .05 for all). The sensitivity and specificity of high-risk pseudopodia in identifying iEMPD were 100% and 84.7%, respectively. CONCLUSIONS HFUS provides morphological information regarding EMPD lesions. Risk stratification for pseudopodia can help to distinguish between iEMPD and in situ EMPD lesions.
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Affiliation(s)
- D D Shan
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - N H Wu
- Department of Pathology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Q Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - W W Ren
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - A Q Zhu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - L F Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Y Q Liu
- Department of Pathology, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - L P Sun
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - L H Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - H X Xu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
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17
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Li XL, Sun YK, Wang Q, Chen ZT, Qian ZB, Guo LH, Xu HX. Synchronous tele-ultrasonography is helpful for a naive operator to perform high-quality thyroid ultrasound examinations. Ultrasonography 2022; 41:650-660. [PMID: 35773182 PMCID: PMC9532195 DOI: 10.14366/usg.21204] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Accepted: 03/05/2022] [Indexed: 11/04/2022] Open
Abstract
Purpose This study investigated the value of synchronous tele-ultrasonography (TUS) for naive operators in thyroid ultrasonography (US) examinations. Methods Ninety-seven patients were included in this prospective, parallel-controlled trial. Thyroid scanning and diagnosis were completed by resident A independently, resident B with guidance from a US expert through synchronous TUS, and an on-site US expert. The on-site expert’s findings constituted the reference standard. Two other off-site US experts analyzed all data in a blind manner. Inter-operator consistency between the two residents and the on-site US expert for thyroid size measurements, nodule measurements, nodule features, American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TI-RADS) categories, and image quality was compared. Two questionnaires were completed to evaluate the clinical benefit. Results Resident B detected more nodules consistent with the on-site expert than resident A did (89.4% vs. 56.5%, P<0.001). Resident B achieved excellent consistency with the on-site expert in terms of ACR TI-RADS categories, nodule composition, shape, echogenic foci, and vascularity (all intra-class correlation coefficients [ICCs] >0.75), while resident A achieved lower consistency in ACR TI-RADS categories, composition, echogenicity, margin, echogenic foci, and vascularity (all ICCs 0.40-0.75). Residents A and B had excellent consistency in target nodule measurements (all ICCs >0.75). Resident B achieved better performance than resident A for gray values, time gain compensation, depth, color Doppler adjustment, and the visibility of key information (all P<0.05). Furthermore, 61.9% (60/97) of patients accepted synchronous TUS, and 59.8% (58/97) patients were willing to pay for it. Conclusion Synchronous TUS can help inexperienced residents achieve comparable thyroid diagnostic capability to a US expert.
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Affiliation(s)
- Xiao-Long Li
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Yi-Kang Sun
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Qiao Wang
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Zi-Tong Chen
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Zhe-Bin Qian
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Le-Hang Guo
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
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18
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Zhang Y, Lu F, Zhang YF, Xu HX, Shi H, Guo LH, Wei Q. Predicting malignancy in thyroid nodules with benign cytology results: The role of Conventional Ultrasound, Shear Wave Elastography and BRAF V600E. Clin Hemorheol Microcirc 2021; 81:33-45. [PMID: 34958011 DOI: 10.3233/ch-211337] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND: Ultrasound-guided fine-needle aspiration (US-FNA) is the most accurate method for preoperative diagnosis of thyroid nodules, but how to deal with false negative results. OBJECTIVE: This study aimed to find preoperative diagnosis methods including Conventional Ultrasound (CUS), Shear Wave Elastography (SWE) and BRAF V600E testing to differentiate false negative nodules. METHODS: Forty-nine nodules in 49 patients with benign FNA results and pathological diagnoses were included. CUS and SWE features were evaluated. BRAF V600E analysis was performed after FNA. Diagnostic performances of three methods were analyzed in predicting malignancy in benign FNA results. RESULTS: Twenty-seven of 49 nodules were malignant, and 22 nodules were benign. Hypoechogenicity, taller-than-wider, irregular boundary, microcalcification, SWE max, SWE mean and BRAF V600E mutation were risk factors for malignancy. All 7 malignant nodules with BRAF V600E mutations and 18 of 20 malignant nodules without BRAF V600E mutations have two or more suspicious CUS features. Six of 7 malignant nodules with BRAF V600E mutations and 16 of 20 malignant nodules without BRAF V600E mutations had SWE mean value greater than the cut-off value. CONCLUSIONS: CUS, SWE and BRAF V600E were diagnostic tools for malignancy in FNA benign nodules. Further clinical decisions should be considered for nodules with 2 or more suspicious CUS features and SWE parameters greater than cut-off values whether BRAF V600E is mutational or not.
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Affiliation(s)
- Ying Zhang
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Feng Lu
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Yi-Feng Zhang
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui Shi
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Le-Hang Guo
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Ultrasound Research and Education Institute, Clinical Research Center for interventional Medicine, School of Medicine, Tongji University, Shanghai, China
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
- National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Qing Wei
- Department of Pathology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
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19
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Chen ZT, Yan JN, Zhu AQ, Wang LF, Wang Q, Li L, Guo LH, Li XL, Xu HX. High-frequency ultrasound for differentiation between high-risk basal cell carcinoma and cutaneous squamous cell carcinoma. Skin Res Technol 2021; 28:410-418. [PMID: 34923684 PMCID: PMC9907640 DOI: 10.1111/srt.13121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 10/16/2021] [Indexed: 12/07/2022]
Abstract
BACKGROUND The similar visual appearance of high-risk basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC) may cause confusion for diagnosis. High-frequency ultrasound (HFUS) may provide additional intralesional information and thus help to distinguish them. METHOD In this retrospective study, we analyzed the clinical characteristics, HFUS grayscale, and color Doppler flow imaging (CDFI) features of pathologically confirmed high-risk BCC and cSCC lesions (n = 65 vs n = 68). Subsequently, discrimination models based on the significant HFUS features were established. RESULTS Between high-risk BCC and cSCC lesions, the HFUS grayscale features of the lesion size (10.0 mm vs 17.4 mm), thickness (3.1 mm vs 5.9 mm), internal hyperechoic spots (80.0% vs 23.5%), and posterior acoustic shadowing (16.9% vs 66.2%) were statistically different (all p < 0.001). As for the CDFI features, high-risk BCC lesions mainly appeared as pattern II (47.7%), while cSCC lesions mainly appeared as pattern III (66.2%). Based on the above five features, an optimal discrimination model was established with a sensitivity of 91.2%, a specificity of 87.7%, and an accuracy of 89.5%. CONCLUSION HFUS features, including size, thickness, internal hyperechoic spots, posterior acoustic shadowing, and Doppler vascularity pattern, are useful for differential diagnosis between high-risk BCC and cSCC.
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Affiliation(s)
- Zi-Tong Chen
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Jian-Na Yan
- Department of Dermatologic Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - An-Qi Zhu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Li-Fan Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Liang Li
- Department of Dermatologic Surgery, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, School of Medicine, Tongji University, Shanghai, China.,Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, National Clinical Research Center for Interventional Medicine, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China
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20
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Jiang JX, Guo LH, Cai CZ, Luo Q. [The value of renal color Doppler ultrasound in evaluating the severity and prognosis of patients with acute organophosphorus pesticide poisoning complicated by acute kidney injury]. Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi 2021; 39:862-865. [PMID: 34886650 DOI: 10.3760/cma.j.cn121094-20201021-00593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Objective: To analyze the value of renal color Doppler ultrasound examination and clinical indicators in evaluating the severity and prognosis of acute organophosphorus pesticide poisoning (AOPP) complicated by acute kidney injury (AKI) . Methods: In November 2019, 86 AOPP patients complicated by AKI who were admitted from May 2018 to May 2019 were selected as the observation group, and they were divided into AKI stage 1 group (n=37) , AKI stage 2 group (n=32) and AKI stage 3 group (n=17) . 40 healthy people were selected as the control group. The differences in power Doppler ultrasound (PDU) score, renal interlobular artery resistance index (RI) value and related clinical indicators of each group were measured and analyzed, and the correlations between the indicators were analyzed. At the same time, binary logistic regression was used to analyze the risk factors of death in AOPP patients complicated by AKI. Results: There were statistically significant differences in Acute Physiology and Chronic Health Evaluation (APACHE) Ⅱscore, mean arterial pressure (MAP) , serum creatinine (SCr) and the length of continuous renal replacement therapy (CRRT) between different groups (P<0.05) . Compared with the control group, the APACHE Ⅱscores and SCr of patients in the AKI stage 2 and resistance index AKI stage 3 groups increased, while the MAP decreased (P<0.05) . Compared with the control group, AKI stage 1 group and AKI stage 2 group, the PDU score of patients in the AKI stage 3 group was significantly decreased, and the renal interlobular artery RI value was significantly increased (P<0.05) . SCr was positively correlated with the RI value of renal interlobular arteries and CRRT days (r=0.435, 0.713, P<0.05) , and was negatively correlated with renal PDU score (r=-0.643, P<0.05) . The renal PDU score was negatively correlated with the RI value of renal interlobular arteries and CRRT days (r=-0.350, -0.556, P<0.01) . Binary logistic regression analysis showed that SCr (OR=1.017, 95%CI: 1.004-1.041) and APACHE Ⅱ score (OR=1.289, 95%CI: 1.019-1.827) were risk factors for death in patients with AOPP complicated by AKI (P<0.05) . Conclusion: Both PDU score and the RI value of renal interlobular artery can reflect the severity and stage of patients with AOPP complicated by AKI to a certain extent, but neither of them is a key factor affecting the death of patients.
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Affiliation(s)
- J X Jiang
- Guangzhou 12th People's Hospital (Guangzhou Occupational Disease Prevention and Control Hospital) , Guangzhou 510620, China
| | - L H Guo
- Guangzhou 12th People's Hospital (Guangzhou Occupational Disease Prevention and Control Hospital) , Guangzhou 510620, China
| | - C Z Cai
- Guangzhou 12th People's Hospital (Guangzhou Occupational Disease Prevention and Control Hospital) , Guangzhou 510620, China
| | - Q Luo
- Guangzhou 12th People's Hospital (Guangzhou Occupational Disease Prevention and Control Hospital) , Guangzhou 510620, China
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21
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Wang Q, Bao H, Guo LH, Jin FS, Li XL, Yin HH, Yue WW, Zhu AQ, Wang LF, Sun LP, Xu HX. Quantitative assessment of crystal dissolution in gout during urate-lowering therapy with computer-aided MicroPure imaging: a cohort study. Ann Transl Med 2021; 9:1444. [PMID: 34733996 PMCID: PMC8506744 DOI: 10.21037/atm-21-4059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 09/10/2021] [Indexed: 11/25/2022]
Abstract
Background To evaluate whether MicroPure imaging, an ultrasound (US) image-processing technique with computer-aided analysis, can quantitatively detect crystal dissolution during urate-lowering therapy (ULT) in gout. Methods This was a prospective study of gout patients requiring ULT. The first metatarsophalangeal joints were examined using US and MicroPure before and after 3 months of ULT. Elementary lesions of gout, including the double contour sign (DCS), aggregates, tophi, erosion, and other US features were recorded at baseline and 3 months. MicroPure imaging features were automatically calculated by a self-developed software. Patients were divided into goal-achieved and goal-not-achieved groups according to their urate levels at 3 months. The US and MicroPure imaging features of the two groups were analyzed at baseline and 3 months. Results A total of 55 consecutive patients were enrolled (25: goal-achieved group; 30: goal-not-achieved group). US findings demonstrated that the power Doppler signal grade decreased at 3 months, regardless of the group (both P<0.05). From baseline to 3 months, tophi size and the DCS reduced in the goal-achieved group (both P<0.05), while the US aggregate features showed no difference (P=0.250). However, on the MicroPure imaging, the number and density of aggregates at 3 months decreased in the goal-achieved group (both P<0.05). There were no significant changes at 3 months in any of the MicroPure imaging features in the goal-not-achieved group (all P>0.05). Conclusions In comparison with B-mode US, computer-aided MicroPure imaging can sensitively and quantitatively detect aggregate dissolution during effective ULT after only 3 months of treatment.
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Affiliation(s)
- Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui Bao
- Department of Nephrology and Rheumatology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Feng-Shan Jin
- Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hao-Hao Yin
- Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Wen-Wen Yue
- Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - An-Qi Zhu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Li-Fan Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, School of Medicine, Tongji University, Shanghai, China.,Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
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22
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Sun YK, Li XL, Wang Q, Zhou BY, Zhu AQ, Qin C, Guo LH, Xu HX. Improving the quality of breast ultrasound examination performed by inexperienced ultrasound doctors with synchronous tele-ultrasound: a prospective, parallel controlled trial. Ultrasonography 2021; 41:307-316. [PMID: 34794212 PMCID: PMC8942725 DOI: 10.14366/usg.21081] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 08/15/2021] [Indexed: 12/24/2022] Open
Abstract
PURPOSE This prospective study explored the value of synchronous tele-ultrasound (US) to aid doctors inexperienced in US with breast US examinations. METHODS In total, 99 patients were enrolled. Two trainee doctors who were inexperienced in US (trainee A [TA] and trainee B [TB]) and one doctor who was an expert in US completed the US examinations sequentially. TA completed the US examinations independently, while TB was instructed by the expert using synchronous tele-US. Subsequently, the expert performed on-site US examinations in person. Separately, they selected the most clinically significant nodule as the target nodule. Consistency with the expert and image quality were compared between TA and TB to evaluate tele-US. Furthermore, TB and the patients evaluated tele-US through questionnaires. RESULTS TB demonstrated higher consistency with the expert in terms of target nodule selection than TA (93.3% vs. 63.3%, P<0.001). TB achieved good inter-observer agreement (>0.75) with the expert on five US features (5/9, 55.6%), while TA only did so for one (1/9, 11.1%) (P=0.046). TB's image quality was higher than TA's in gray value, time gain compensation, depth, color Doppler adjustment, and the visibility of key information (P=0.018, P<0.001, P<0.001, P=0.033, and P=0.006, respectively). The comprehensive assessment score was higher for TB than for TA (3.96±0.82 vs. 3.09±0.87, P<0.001). Tele-US was helpful in 69.7% of US examinations and had a training effect in 68.0%. Furthermore, 63.6% of patients accepted tele-US and 60.6% were willing to pay. CONCLUSION Tele-US can help doctors inexperienced in US to perform breast US examinations.
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Affiliation(s)
- Yi-Kang Sun
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Xiao-Long Li
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Qiao Wang
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Bo-Yang Zhou
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - An-Qi Zhu
- Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Chuan Qin
- Department of Ultrasound, Karamay Center Hospital, Karamay, China
| | - Le-Hang Guo
- Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China
| | - Hui-Xiong Xu
- Center of Minimally Invasive Treatment for Tumor, Department of Medical Ultrasound, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.,Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.,National Clinical Research Center for Interventional Medicine, Shanghai, China
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23
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Wang LF, Zhu AQ, Wang Q, Li XL, Yan JN, Li MX, Jin FS, Chen ST, Guo LH, Xu HX. Value of High-Frequency Ultrasound for Differentiating Invasive Basal Cell Carcinoma from Non-invasive Types. Ultrasound Med Biol 2021; 47:2910-2920. [PMID: 34284933 DOI: 10.1016/j.ultrasmedbio.2021.06.006] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 06/06/2021] [Accepted: 06/15/2021] [Indexed: 12/07/2022]
Abstract
The purpose of the study was to evaluate the value of high-frequency ultrasound (HFUS) for differentiating invasive basal cell carcinomas (BCCs) from non-invasive BCCs. We established a prediction model based on ultrasound features and validated it further. One hundred patients in the pilot cohort and another 43 in the validation cohort were evaluated. All patients underwent HFUS examinations by the same radiologist, and then were divided on the basis of pathology into invasive and non-invasive types. With respect to growth pattern, 60.5% of invasive BCCs had an irregular pattern, whereas 89.5% of non-invasive BCCs had a nodular or crawling pattern (p < 0.001). As for the layers involved, the more invasive BCCs broke through the dermis compared with non-invasive BCCs (23.3% vs. 1.8%) (p < 0.001). With respect to intralesional hyperechoic spot distribution, invasive and non-invasive BCCs tended to be clustered and absent/scattered-like, respectively (55.8% vs. 91.2%) (p < 0.001). On the basis of the aforementioned features, a prediction model was established with accuracies of 84.0% and 76.7%, respectively, in the pilot and validation cohorts. HFUS holds promise for the differentiation of the invasiveness of BCCs and is helpful in its clinical management.
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Affiliation(s)
- Li-Fan Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - An-Qi Zhu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Jian-Na Yan
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Ming-Xu Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Feng-Shan Jin
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Si-Tong Chen
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China; Department of Medical Ultrasound & Tumor Minimally Invasive Treatment, Shanghai Tenth People's Hospital; Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Tongji University School of Medicine, Shanghai, China; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment; National Clinical Research Center for Interventional Medicine, Shanghai, China.
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24
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Ma YY, Gong XH, Wang Q, Wang LF, Xu HX, Guo LH. High-Frequency Ultrasound for Evaluation of the Pathological Invasion Level of Extramammary Paget Disease. J Ultrasound Med 2021; 41:389-400. [PMID: 33856069 DOI: 10.1002/jum.15716] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 03/23/2021] [Accepted: 03/24/2021] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Pathological invasion level of extramammary Paget disease (EMPD) is strongly related with its risk staging, treatment, and prognosis. However, the current evaluation before treatments fails to evaluate pathological invasion level of EMPD. High-frequency ultrasound (HFUS) may play a key role to solve this problem. The purpose was to explore the performance of HFUS in the evaluation of pathological invasion level of EMPD. METHODS Sixty pathologically proven EMPD patients were retrospectively enrolled and divided into 2 groups as follows: in situ in the epidermis (IE) (n = 42) and invasion into the dermis or subcutaneous (ID) (n = 18) groups. Clinical and HFUS features were compared between the 2 groups. RESULTS Between the 2 groups, HFUS features (lesion shape, internal echogenicity and echotexture, surface shape, epidermal hyperechoic layer on the surface, the "pseudopod sign", and color Doppler ultrasound features) and clinical features were comparable (all P >.05). Tumor growth pattern significantly differed between the 2 groups (P <.05). Infiltration depth was significantly deeper for the ID group than the IE group (P <.05). With a cutoff value of 1.55 mm for infiltration depth, the area under the receiver operating characteristic curve was 0.833. CONCLUSIONS HFUS features of tumor growth pattern and infiltration depth may contribute to the assessment of invasion level of EMPD.
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Affiliation(s)
- Yuan-Yuan Ma
- Department of Ultrasound, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China.,Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
| | - Xue-Hao Gong
- Department of Ultrasound, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital, Shenzhen, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
| | - Li-Fan Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
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Zhu AQ, Wang LF, Li XL, Wang Q, Li MX, Ma YY, Xiang LH, Guo LH, Xu HX. High-frequency ultrasound in the diagnosis of the spectrum of cutaneous squamous cell carcinoma: Noninvasively distinguishing actinic keratosis, Bowen's Disease, and invasive squamous cell carcinoma. Skin Res Technol 2021; 27:831-840. [PMID: 33751714 DOI: 10.1111/srt.13028] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 02/13/2021] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To evaluate high-frequency ultrasound (HFUS) features for diagnosing cutaneous squamous cell carcinoma (cSCC) as a spectrum of progressively advanced malignancies, including precursor actinic keratosis (AK), Bowen's disease (BD), and invasive squamous cell carcinoma (iSCC). METHOD In this retrospective study, 160 skin lesions diagnosed histopathologically (54 AK, 54 BD, and 52 iSCC) in 160 patients were included. The HFUS features of AK, BD, and iSCC were analyzed. The obtained data were evaluated using univariate and forward multivariate logistic regression analyses. RESULTS The most significant HFUS features in AK were regular surface (odds ratio [OR], 8.42) and irregular basal border (OR, 6.36). The most significant HFUS features in BD were crumpled surface (OR, 19.62) and layer involvement confined to the epidermis (OR, 3.96). The most significant HFUS features in iSCC were concave surface (OR, 27.06), stratum corneum (SC) detachment (OR, 14.41), irregular basal border (OR, 4.01), and convex surface (OR, 3.73). The characteristics of surface features, basal border, and layer involvement could be valuable HFUS clues in the discrimination of AK, BD, and iSCC. CONCLUSION High-frequency ultrasound is valuable for the differentiation of AK, BD, and iSCC, which may allow dynamic and noninvasive monitoring in the spectrum of cSCC.
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Affiliation(s)
- An-Qi Zhu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Li-Fan Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Ming-Xu Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Yuan-Yuan Ma
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Li-Hua Xiang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Clinical Research Center for Interventional Medicine, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
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Xu SH, Wu F, Guo LH, Zhang WB, Xu HX. Liver fibrosis index-based nomograms for identifying esophageal varices in patients with chronic hepatitis B related cirrhosis. World J Gastroenterol 2020; 26:7204-7221. [PMID: 33362377 PMCID: PMC7723663 DOI: 10.3748/wjg.v26.i45.7204] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 10/07/2020] [Accepted: 11/02/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Esophageal varices (EV) are the most fatal complication of chronic hepatitis B (CHB) related cirrhosis. The prognosis is poor, especially after the first upper gastrointestinal hemorrhage.
AIM To construct nomograms to predict the risk and severity of EV in patients with CHB related cirrhosis.
METHODS Between 2016 and 2018, the patients with CHB related cirrhosis were recruited and divided into a training or validation cohort at The First Affiliated Hospital of Wenzhou Medical University. Clinical and ultrasonic parameters that were closely related to EV risk and severity were screened out by univariate and multivariate logistic regression analyses, and integrated into two nomograms, respectively. Both nomograms were internally and externally validated by calibration, concordance index (C-index), receiver operating characteristic curve, and decision curve analyses (DCA).
RESULTS A total of 307 patients with CHB related cirrhosis were recruited. The independent risk factors for EV included Child-Pugh class [odds ratio (OR) = 7.705, 95% confidence interval (CI) = 2.169-27.370, P = 0.002], platelet count (OR = 0.992, 95%CI = 0.984-1.000, P = 0.044), splenic portal index (SPI) (OR = 3.895, 95%CI = 1.630-9.308, P = 0.002), and liver fibrosis index (LFI) (OR = 3.603, 95%CI = 1.336-9.719, P = 0.011); those of EV severity included Child-Pugh class (OR = 5.436, 95%CI = 2.112-13.990, P < 0.001), mean portal vein velocity (OR = 1.479, 95%CI = 1.043-2.098, P = 0.028), portal vein diameter (OR = 1.397, 95%CI = 1.021-1.912, P = 0.037), SPI (OR = 1.463, 95%CI = 1.030-2.079, P = 0.034), and LFI (OR = 3.089, 95%CI = 1.442-6.617, P = 0.004). Two nomograms (predicting EV risk and severity, respectively) were well-calibrated and had a favorable discriminative ability, with C-indexes of 0.916 and 0.846 in the training cohort, respectively, higher than those of other predictive indexes, like LFI (C-indexes = 0.781 and 0.738), SPI (C-indexes = 0.805 and 0.714), ratio of platelet count to spleen diameter (PSR) (C-indexes = 0.822 and 0.726), King’s score (C-indexes = 0.694 and 0.609), and Lok index (C-indexes = 0.788 and 0.700). The areas under the curves (AUCs) of the two nomograms were 0.916 and 0.846 in the training cohort, respectively, higher than those of LFI (AUCs = 0.781 and 0.738), SPI (AUCs = 0.805 and 0.714), PSR (AUCs = 0.822 and 0.726), King’s score (AUCs = 0.694 and 0.609), and Lok index (AUCs = 0.788 and 0.700). Better net benefits were shown in the DCA. The results were validated in the validation cohort.
CONCLUSION Nomograms incorporating clinical and ultrasonic variables are efficient in noninvasively predicting the risk and severity of EV.
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Affiliation(s)
- Shi-Hao Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, Shanghai 200072, China
- Department of Ultrasonography, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Fang Wu
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, Shanghai 200072, China
| | - Wei-Bing Zhang
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, Shanghai 200072, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital of Nanjing Medical University, Shanghai 200072, China
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Liu TJ, Zhou JN, Guo LH. Impact of different regenerative techniques and materials on the healing outcome of endodontic surgery: a systematic review and meta-analysis. Int Endod J 2020; 54:536-555. [PMID: 33159322 DOI: 10.1111/iej.13440] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2020] [Revised: 11/02/2020] [Accepted: 11/04/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Regenerative techniques are increasingly applied in endodontic surgery, but different materials used in regenerative techniques may have varying impacts on wound healing. OBJECTIVES This study evaluated the effects of different regenerative techniques and materials on the outcome of endodontic surgery. PARTICIPANTS patients with persistent periapical lesions, treated with root-end surgery. CONTROL endodontic surgery without the use of regenerative techniques/materials. INTERVENTION endodontic surgery with the use of regenerative techniques/materials. OUTCOME combined clinical and radiographic results. METHODS PubMed, Web of Science, Embase, SinoMed and the CENTRAL Cochrane were searched up to 10th July 2020, followed by a manual search. Detailed eligibility criteria were applied. Cochrane's risk-of-bias tool 2.0 was used to assess the risk of bias of the eligible studies. Meta-analysis was conducted using RevMan software. Subgroup analyses were performed based on the regenerative materials used in endodontic surgery. RESULTS Eleven eligible randomized controlled trials (RCTs) were included in the meta-analysis: two had a low risk of overall bias, and nine had some concerns of overall bias. Generally, the use of regenerative techniques significantly improved the outcome of endodontic surgery (risk ratio [RR]: 0.42; 95% confidence interval [CI], 0.26-0.68; P < 0.001). On subgroup analysis, the use of expanded polytetrafluoroethylene (e-PTFE) membranes alone had no added benefits (RR: 2.00; 95% CI, 0.22-18.33; P = 0.54). The application of collagen membranes or autologous platelet concentrates (APCs) alone was associated with a trend for better outcomes (RR: 0.51; 95% CI, 0.20-1.25; P = 0.14) (RR: 0.55; 95% CI, 0.18-1.71; P = 0.30). The combined use of collagen membranes and bovine-derived hydroxyapatite significantly improved the outcome (RR: 0.35; 95% CI, 0.17-0.75; P = 0.007). DISCUSSION This systematic review evaluated the effects of collagen membranes, e-PTFE membranes, APCs and bone grafting materials, providing detailed information about the risks and benefits of using each regenerative technique/material or its combination in endodontic surgery. CONCLUSIONS Regenerative techniques improve periapical lesion healing after endodontic surgery. The combined use of collagen membranes and bovine-derived hydroxyapatite may be beneficial as an adjunct to endodontic surgery. In contrast, the positive efficacy of e-PTFE membranes or APCs alone remains doubtful.
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Affiliation(s)
- T J Liu
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China
| | - J N Zhou
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China
| | - L H Guo
- Hospital of Stomatology, Guanghua School of Stomatology, Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China
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28
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Zhang WB, Xu HX, Zhang YF, Guo LH, Xu SH, Zhao CK, Liu BJ. Comparisons of ACR TI-RADS, ATA guidelines, Kwak TI-RADS, and KTA/KSThR guidelines in malignancy risk stratification of thyroid nodules. Clin Hemorheol Microcirc 2020; 75:219-232. [PMID: 31929154 DOI: 10.3233/ch-190778] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE To compare the diagnostic performance and the unnecessary biopsy rates for recommending fine needle aspiration (FNA) of Thyroid Imaging Reporting and Data Systems proposed by American College of Radiology (ACR TI-RADS), American Thyroid Association (ATA) guidelines, TI-RADS proposed by Kwak (Kwak TI-RADS), and Korean Thyroid Association/Korean Society of Thyroid Radiology (KTA/KSThR) guidelines for malignancy risk stratification of thyroid nodules (TNs). METHODS The study included 1271 TNs whose cytologic results or surgical pathologic findings were available. Ultrasound images of these TNs were retrospectively reviewed and categorized according to the four guidelines. The diagnostic performances and the unnecessary biopsy rates for recommending FNA of the four guidelines were evaluated. RESULTS After multivariate analysis, the most significant independent predictor for malignancy was hypoechogenicity/marked hypoechogenicity (OR: 9.37, 95% CI: 5.40-16.26) (P < 0.001) among the suspicious ultrasound images features. For all nodules and two subgroups (i.e. nodules <10 mm group and nodules ≥10 mm group), ACR TI-RADS demonstrated higher specificities (all P < 0.05) and lower sensitivities (all P < 0.001) than the other guidelines. In the all nodules group and the nodules<10 mm group, ACR TI-RADS and Kwak TI-RADS had higher Azs than the other guidelines (all P < 0.01). The unnecessary biopsy rates for recommending FNA of ACR TI-RADS in the all nodules (≥10 mm) group and the subgroup (10∼19 mm) were all lower than those of the others guidelines (P < 0.001 for all). For the subgroup (≥20 mm), the unnecessary biopsy rate of ACR was lower than that of ATA guidelines and KTA/KSThR guidelines (P < 0.001). CONCLUSIONS The four guidelines have good diagnostic efficiency in differentiating TNs. ACR TI-RADS and Kwak TI-RADS have better diagnostic performance than the other guidelines in the all nodules group and the nodules<10 mm group. Considering the comprehensive diagnostic efficacy and unnecessary biopsy rate, ACR TI-RADS is a more desirable classification guideline in clinical practice.
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Affiliation(s)
- Wei-Bing Zhang
- Department of Medical Ultrasound, The Affiliated Shanghai NO.10th People's Hospital of Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Jiangsu Provincial Corps Hospital, Chinese People's Armed Police Forces, Yangzhou, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, The Affiliated Shanghai NO.10th People's Hospital of Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, China
| | - Yi-Feng Zhang
- Department of Medical Ultrasound, The Affiliated Shanghai NO.10th People's Hospital of Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, The Affiliated Shanghai NO.10th People's Hospital of Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, China
| | - Shi-Hao Xu
- Department of Medical Ultrasound, The Affiliated Shanghai NO.10th People's Hospital of Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, China
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, The Affiliated Shanghai NO.10th People's Hospital of Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, China
| | - Bo-Ji Liu
- Department of Medical Ultrasound, The Affiliated Shanghai NO.10th People's Hospital of Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, China
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Zhu AQ, Li XL, An LW, Guo LH, Fu HJ, Sun LP, Xu HX. Predicting Axillary Lymph Node Metastasis in Patients With Breast Invasive Ductal Carcinoma With Negative Axillary Ultrasound Results Using Conventional Ultrasound and Contrast-Enhanced Ultrasound. J Ultrasound Med 2020; 39:2059-2070. [PMID: 32367518 DOI: 10.1002/jum.15314] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 03/18/2020] [Accepted: 04/06/2020] [Indexed: 12/21/2022]
Abstract
OBJECTIVES The purpose of this study was to establish a scoring system for predicting axillary lymph node metastasis (ALNM) in patients with breast invasive ductal carcinoma with negative axillary ultrasound (US) results. METHODS In this retrospective study, 156 breast invasive ductal carcinoma lesions from 156 women were retrospectively enrolled. The features of conventional US and contrast-enhanced ultrasound (CEUS) qualitative enhancement patterns and quantitative enhancement parameters were analyzed. Subsequently, a scoring system was created by a multivariate logistic regression analysis. RESULTS The results found that 60 patients (38%) showed ALNM. A scoring system was defined as risk score = 1.75 × (if lesion size ≥20 mm) + 1.93 × (if uncircumscribed margin shown on conventional US) + 1.77 × (if coarse or twisting penetrating vessels shown on CEUS). When the risk scores were less than 1.75, 1.75 to 1.93, 1.94 to 3.70, and 3.70 or higher, the risk rates of ALNM were 0% (0 of 9), 10.7% (5 of 46), 29.2% (14 of 48) and 77.4% (41 of 53), respectively. In comparison with conventional US alone, the scoring system using the combination of conventional US and CEUS showed better discrimination ability in terms of the area under the curve (0.830 versus 0.777; P = .037). CONCLUSIONS A scoring system based on conventional US and CEUS may improve the prediction of ALNM.
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Affiliation(s)
- An-Qi Zhu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute Tongji University School of Medicine, Shanghai, China
- Shanghai Center for Thyroid Diseases, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute Tongji University School of Medicine, Shanghai, China
- Shanghai Center for Thyroid Diseases, Shanghai, China
| | - Li-Wei An
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute Tongji University School of Medicine, Shanghai, China
- Shanghai Center for Thyroid Diseases, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute Tongji University School of Medicine, Shanghai, China
- Shanghai Center for Thyroid Diseases, Shanghai, China
| | - Hui-Jun Fu
- Thyroid Institute Tongji University School of Medicine, Shanghai, China
- Department of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
- Shanghai Center for Thyroid Diseases, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute Tongji University School of Medicine, Shanghai, China
- Shanghai Center for Thyroid Diseases, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute Tongji University School of Medicine, Shanghai, China
- Shanghai Center for Thyroid Diseases, Shanghai, China
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30
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Shi H, Guo LH, Zhang YF, Fu HJ, Zheng JY, Wang HX, Zhao CK, Xu HX. Suspicious ultrasound and clinicopathological features of papillary thyroid carcinoma predict the status of TERT promoter. Endocrine 2020; 68:349-357. [PMID: 32026251 DOI: 10.1007/s12020-020-02214-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Accepted: 01/18/2020] [Indexed: 12/18/2022]
Abstract
PURPOSE To investigate the value of ultrasound (US) and clinicopathological features of papillary thyroid cancer (PTC) in predicting Telomerase Reverse Transcriptase (TERT) promoter mutations. METHODS Preoperative US images of 351 surgically confirmed PTCs were evaluated in terms of PTCs size and US features. The basic clinicopathological features were also retrieved. Univariate and multivariate analyses were performed to identify the risk factors for TERT promoter mutations. A scoring system was developed based on the cumulative number of risk factors. The area under the receiver operating characteristic curve (AUC) and cut-off value were calculated to evaluate the diagnostic performance of the scoring system for predicting TERT promoter mutations. RESULTS TERT promoter mutations were found in 4.84% (17/351) of patients with PTCs. Patient age >50 years (OR: 6.244, P = 0.006), multifocality (OR: 21.071, P = 0.022), taller-than-wide shape (OR: 4.934, P = 0.029), microlobulated margin (OR: 4786, P = 0.032), and capsule contact or involvement (OR: 4.668, P = 0.030) were independent risk factors for TERT promoter mutations. TERT promoter mutations were relevant to more suspicious US and clinicopathological features than TERT promoter wild-type PTC (median, 4 vs. 1, P < 0.001). The cut-off value was 2.5 and the associated AUC was 0.908 (P < 0.001). CONCLUSIONS The probability of TERT promoter mutations increases along with the suspicious US features and clinicopathological characteristics, which may help to recognize patients who deserve a different approach, in terms of management and follow-up, in view of the worst outcome associated to this mutation.
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Affiliation(s)
- Hui Shi
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, 200072, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China
- Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, 200072, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China
- Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Yi-Feng Zhang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, 200072, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China
- Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Hui-Jun Fu
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China
- Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
- Department of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Jia-Yi Zheng
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China
- Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
- Department of Pathology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Han-Xiang Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, 200072, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China
- Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, 200072, China.
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.
- Shanghai Center for Thyroid Diseases, Shanghai, 200072, China.
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University Cancer Center, Tongji University School of Medicine, Shanghai, 200072, China.
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.
- Shanghai Center for Thyroid Diseases, Shanghai, 200072, China.
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Guo LH, Zhong JM, Fang L, Chen XY, Gong WW, Xie KX, Wang CM. [Evaluation on the effect of comprehensive intervention combined with clinical preventive services and lifestyle adjustment among high-risk populations of cardiovascular disease in Tongxiang City]. Zhonghua Yu Fang Yi Xue Za Zhi 2020; 54:411-415. [PMID: 32268649 DOI: 10.3760/cma.j.cn112150-20190606-00453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To evaluate the effect of comprehensive intervention combined with clinical preventive services and lifestyle adjustment on high-risk populations of cardiovascular disease. Methods: In 2015, 4 towns (streets) in Tongxiang City, of Zhejiang Province including Heshan Town, Longxiang Street, Wutong Street, and Fengming Street, were selected by using the typical sampling. The towns (streets) were allocated to the intervention group (Heshan Town and Longxiang Street) and the control group (Wutong Street and Fengming Street) by using the cluster random sampling. In each town (street), hypertension patients aged 50 to 74 years old who were taking community medicine management and with a 10-year cardiovascular disease risk ≥10% were recruited as subjects. There were 1 823 subjects in the intervention group and 1 883 in the control group. The intervention group was given a 1-year comprehensive intervention combining clinical preventive services and lifestyle adjustment, while the control group received routine chronic disease management. After the intervention, the final questionnaire investigation was conducted and health physical examination data were obtained. The death, acute coronary heart disease events and stroke incidence were the primary outcomes, and cardiovascular disease-related knowledge and behavior, clinical preventive services utilization, physical changes, blood fat index and 10-year cardiovascular disease risk were the secondary outcomes. The difference-in-difference model was used to evaluate the effects of interventions. Results: The age of subjects in the intervention and control group was (68.76±3.75) and (67.90±4.56) years old, respectively. After 1-year intervention, the incidence of mortality, acute coronary events and stroke in intervention group was 1.65% (30 cases), 0.27% (5 cases) and 2.69% (49 cases), respectively, which showed no statistical difference compared to the control group [1.33% (25 cases), 0.32% (6 cases) and 2.07% (39 cases)]. After adjusting for the age, gender, education, marital status, self-assessed family income level and situation of taking antihypertensive drugs, the difference-in-difference model showed that the body mass index and diastolic blood pressure in the intervention group decreased by 0.33 kg/m(2) and 1.49 mmHg (1 mmHg=0.133 kPa). Compared with the control group, daily vegetable consumption proportion, the awareness rates of aspirin, stains, salt intake, and oil intake increased by 4.76%, 26.22%, 29.56%, 10.80%, and 15.17%, respectively (P<0.05). Conclusion: After the 1-year comprehensive intervention, there was no significant change in primary outcomes among high-risk populations of cardiovascular disease. In secondary outcomes, body mass index and diastolic blood pressure declined and cardiovascular disease-related knowledge awareness increased.
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Affiliation(s)
- L H Guo
- Department of Chronic Non-communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - J M Zhong
- Department of Chronic Non-communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - L Fang
- Department of Chronic Non-communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - X Y Chen
- Department of Chronic Non-communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - W W Gong
- Department of Chronic Non-communicable Diseases Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - K X Xie
- Department of Chronic Non-communicable Diseases Control and Prevention, Tongxiang Center for Disease Control and Prevention, Tongxiang 314500, Zhejiang Province, China
| | - C M Wang
- Department of Chronic Non-communicable Diseases Control and Prevention, Tongxiang Center for Disease Control and Prevention, Tongxiang 314500, Zhejiang Province, China
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Li MX, Wang Q, Li XL, Zhao CK, Zhu RZ, Chen J, Li L, Guo LH, Xu HX. Imaging findings of Bowen's disease: A comparison between ultrasound biomicroscopy and conventional high-frequency ultrasound. Skin Res Technol 2020; 26:654-663. [PMID: 32196763 DOI: 10.1111/srt.12849] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Accepted: 03/03/2020] [Indexed: 01/07/2023]
Abstract
OBJECTIVES To compare the imaging findings of Bowen's disease (BD) between ultrasound biomicroscopy (UBM) and conventional high-frequency ultrasound (HFUS). METHODS A total of 29 pathologically proven BD lesions in 28 patients were retrospectively enrolled in the study, and all were after surgery. All the lesions were imaged with both UBM and HFUS. The imaging features on HFUS and UBM were analyzed and compared. The diagnostic results of ultrasound for BD were referenced with pathology results. RESULTS All the 29 (100%) BD lesions appeared hypoechogenicity, solid component, and superficial hyperechoic layer (ie, keratinization) on both UBM and HFUS. The typical imaging feature of BD lesions, that was, infiltration depth confined to the epidermis, was visualized in 25 (86.2%, 25/29) lesions on UBM whereas 15 (51.7%, 15/29) on HFUS (P = .002). A "wave sign," which corresponds to the surface keratinization of BD lesion, was visualized in 17 (58.6%, 17/29) of BD lesions on UBM whereas 6 (20.7%, 6/29) on HFUS (P = .001). UBM and HFUS correctly diagnosed 25 (86.2%, 25/29) and 15 (51.7%, 15/29) BD lesions, respectively (P = .002). CONCLUSIONS Bowen's disease has some typical imaging features on US. The "wave sign" of the superficial hyperechoic layer and the clear borderline between the tumor in epidermis and the slightly hyperechoic dermis layer are better depicted by UBM in comparison with HFUS, which leads to a more accurate diagnosis of BD. UBM has potential to be used as a diagnostic tool for characterization of BD on account of its high resolution.
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Affiliation(s)
- Ming-Xu Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Rui-Zheng Zhu
- Department of Pathology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China
| | - Jia Chen
- Department of Pathology, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China
| | - Liang Li
- Department of Dermatologic Surgery, Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
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Liu C, Ding SS, Zhang K, Liu LN, Guo LH, Sun LP, Zhang YF, Sun XM, Ren WW, Zhao CK, Li XL, Wang Q, Xu XR, Xu HX. Correlation between ultrasound consolidated score and simple endoscopic score for determining the activity of Crohn's disease. Br J Radiol 2020; 93:20190614. [PMID: 32101466 DOI: 10.1259/bjr.20190614] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVES The aim of this study was to develop an ultrasound consolidated score (UCS) in determining the activity of Crohn's disease (CD) and evaluate it with reference to simple endoscopic score (SES). METHODS From June 2014 to June 2017, 66 patients with CD were retrospectively enrolled in this study. Each patient underwent endoscopy and transabdominal ultrasound (US) examination. The morphological symmetry, echogenicity of bowel wall, bowel wall layer structure, echogenicity of peri-bowel fat, bowel wall thickness (BWT), and Limberg type on power Doppler US were assessed with transabdominal US, and an UCS scoring system was developed based on these characteristics. Endoscopic results were used as the reference standard and SES was calculated to determine the CD activity. Receiver operating characteristic curve analysis was performed to assess the diagnostic performance for determining CD activity and the correlation between UCS and SES was assessed using Spearman correlation analysis. RESULTS 330 intestinal segments in 66 patients were included. The UCS of the segments in the remission phase ranged from 3.0 to 9.0 (mean, 3.6 ± 0.9) whereas in the active phase from 3.0 to 20.0 (mean, 10.6 ± 4.0) (p < 0.001). The cut-off value of UCS was 6. The associated area under ROC curve, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 0.980, 88.3%, 95.5%, 93.8%, 91.3%, and 92.3%, respectively. The correlation coefficient between UCS and SES was 0.90, which was higher than the correlation coefficient of 0.83 between BWT and SES. CONCLUSIONS The newly developed UCS with transabdominal US has a good performance and potentially provides an effective alternative for evaluating the activity of CD. ADVANCES IN KNOWLEDGE UCS is an effective method to evaluate the activity of CD because it provides comprehensive information of the disease. Therefore, it could be employed as an alternative for diagnosis of CD.
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Affiliation(s)
- Chang Liu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Shi-Si Ding
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Kun Zhang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Lin-Na Liu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Yi-Feng Zhang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Xiao-Min Sun
- Department of Gastroenterology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
| | - Xiao-Rong Xu
- Department of Gastroenterology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Ultrasound Research and Education Institute, Tongji University Cancer Center, Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Tongji University School of Medicine, Shanghai, 200072, China
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Du D, Fu HJ, Ren WW, Li XL, Guo LH. PSA targeted dual-modality manganese oxide–mesoporous silica nanoparticles for prostate cancer imaging. Biomed Pharmacother 2020; 121:109614. [DOI: 10.1016/j.biopha.2019.109614] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/22/2019] [Accepted: 10/25/2019] [Indexed: 12/26/2022] Open
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35
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Guo LH, Wang D, Li XL, Liu BJ, Chen S, Li DD, Xu HX. Stiffness distribution in the ablated zone after radiofrequency ablation for liver: An ex-vivo study with a tissue elastometer. Clin Hemorheol Microcirc 2019; 72:151-160. [PMID: 30689559 DOI: 10.3233/ch-180404] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Nanjing Medical University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Dan Wang
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Bo-Ji Liu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Shigao Chen
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Dan-Dan Li
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Nanjing Medical University, Shanghai, China
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
- Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
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36
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Chen ST, Guo LH, Yan JN, Wang Q, Li XL, Li MX, Zhu RZ, Yang WP, Xu HX. Ultrasound Biomicroscopy and High-Frequency Ultrasound for Evaluating Extramammary Paget Disease With Pathologic Correlation. J Ultrasound Med 2019; 38:3229-3237. [PMID: 31144340 DOI: 10.1002/jum.15033] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2019] [Revised: 04/04/2019] [Accepted: 04/23/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVES The purpose of this study was to investigate the performance of ultrasound biomicroscopy (UBM) and high-frequency ultrasound (HFUS) in the assessment of extramammary Paget disease (EMPD) and to correlate the imaging features with pathologic findings. METHODS In this retrospective study, we described the imaging features from UBM and HFUS based on 17 pathologically proven EMPD cases. The performance for visualizing layer involvement by UBM and HFUS was compared. Additionally, we checked the consistency between layer involvement of the lesions on UBM images and the pathologic results. Additionally, blood flow and the status of lymph nodes were investigated with HFUS. RESULTS Ultrasound biomicroscopy revealed that all 17 lesions (100%) were hypoechoic and grew in a creeping form. The feature of layer involvement was shown in 10 lesions (58.8%) limited to the epidermis and 6 lesions (35.3%) involving the dermis, and the remaining lesion (5.9%) involved the full skin layers. Layer involvement was clearly displayed by UBM for all lesions (100%) but for only 5 lesions (29.4%) by HFUS (P < .001). Additionally, the layer involvement of 15 lesions (88.2%) on UBM was consistent with the pathologic results (κ = 0.746). High-frequency ultrasound revealed profuse blood flow in most lesions (64.7% [11 of 17]), and 1 case showed inguinal lymph node metastasis. CONCLUSIONS Combined use of UBM and HFUS can provide key information on EMPD based on ultrasound features. Comparatively, UBM provides clearer morphologic information, whereas HFUS provides information on lymph node metastasis and blood flow.
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Affiliation(s)
- Si-Tong Chen
- Department of Medical Ultrasound, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China.,Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Jian-Na Yan
- Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China.,Departments of Skin Surgery, Shanghai Skin Disease Hospital, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Ming-Xu Li
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
| | - Rui-Zheng Zhu
- Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China.,Departments of Pathology, Shanghai Skin Disease Hospital, Shanghai, China
| | - Wei-Ping Yang
- Department of Medical Ultrasound, Affiliated Tumor Hospital of Guangxi Medical University, Nanning, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Skin Disease Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Tumor Minimally Invasive Treatment Center, Tongji University Cancer Center, Shanghai, China
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37
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Wang Q, Li XL, He YP, Alizad A, Chen S, Zhao CK, Guo LH, Bo XW, Ren WW, Zhou BG, Xu HX. Three-dimensional shear wave elastography for differentiation of breast lesions: An initial study with quantitative analysis using three orthogonal planes. Clin Hemorheol Microcirc 2019; 71:311-324. [PMID: 29865044 DOI: 10.3233/ch-180388] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Affiliation(s)
- Qiao Wang
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Ya-Ping He
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Azra Alizad
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Shigao Chen
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Xiao-Wan Bo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Bang-Guo Zhou
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
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38
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Ren WW, Li DD, Chen X, Li XL, He YP, Guo LH, Liu LN, Sun LP, Zhang XP. Correction to: MicroRNA-125b reverses oxaliplatin resistance in hepatocellular carcinoma by negatively regulating EVA1A mediated autophagy. Cell Death Dis 2018; 9:843. [PMID: 30143606 PMCID: PMC6109171 DOI: 10.1038/s41419-018-0836-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Following publication of the article, the authors reported that Huixiong Xu had left the department, and requested that the author list be amended accordingly.
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Affiliation(s)
- Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, 200072, Shanghai, China
| | - Dan-Dan Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, 200072, Shanghai, China
| | - Xiaolan Chen
- Department of Radiotherapy, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, 200072, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, 200072, Shanghai, China
| | - Ya-Ping He
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, 200072, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, 200072, Shanghai, China
| | - Lin-Na Liu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, 200072, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, 200072, Shanghai, China.
| | - Xiao-Ping Zhang
- Department of Interventional & Vascular Surgery, Tongji University School of Medicine, 200072, Shanghai, China.
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Yuan L, Guo LH, Yuan CA, Zhang YH, Han K, Nandi A, Honig B, Huang DS. Integration of Multi-omics Data for Gene Regulatory Network Inference and Application to Breast Cancer. IEEE/ACM Trans Comput Biol Bioinform 2018; 16:782-791. [PMID: 30137012 DOI: 10.1109/tcbb.2018.2866836] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Underlying a cancer phenotype is a specific gene regulatory network that represents the complex regulatory relationships between genes. However, it remains a challenge to find cancer-related gene regulatory network because of insufficient sample sizes and complex regulatory mechanisms in which gene is influenced by not only other genes but also other biological factors. With the development of high-throughput technologies and the unprecedented wealth of multi-omics data give us a new opportunity to design machine learning method to investigate underlying gene regulatory network. In this paper, we propose an approach, which use biweight midcorrelation to measure the correlation between factors and make use of nonconvex penalty based sparse regression for gene regulatory network inference (BMNPGRN). BMNCGRN incorporates multi-omics data (including DNA methylation and copy number variation) and their interactions in gene regulatory network model. The experimental results on synthetic datasets show that BMNPGRN outperforms popular and state-of-the-art methods (including DCGRN, ARACNE and CLR) under false positive control. Furthermore, we applied BMNPGRN on breast cancer (BRCA) data from The Cancer Genome Atlas database and provided gene regulatory network.
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Guo LH, Wang D, Qian YY, Zheng X, Zhao CK, Li XL, Bo XW, Yue WW, Zhang Q, Shi J, Xu HX. A two-stage multi-view learning framework based computer-aided diagnosis of liver tumors with contrast enhanced ultrasound images. Clin Hemorheol Microcirc 2018; 69:343-354. [PMID: 29630528 DOI: 10.3233/ch-170275] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE With the fast development of artificial intelligence techniques, we proposed a novel two-stage multi-view learning framework for the contrast-enhanced ultrasound (CEUS) based computer-aided diagnosis for liver tumors, which adopted only three typical CEUS images selected from the arterial phase, portal venous phase and late phase. MATERIALS AND METHODS In the first stage, the deep canonical correlation analysis (DCCA) was performed on three image pairs between the arterial and portal venous phases, arterial and delayed phases, and portal venous and delayed phases respectively, which then generated total six-view features. While in the second stage, these multi-view features were then fed to a multiple kernel learning (MKL) based classifier to further promote the diagnosis result. Two MKL classification algorithms were evaluated in this MKL-based classification framework. We evaluated proposed DCCA-MKL framework on 93 lesions (47 malignant cancers vs. 46 benign tumors). RESULTS The proposed DCCA-MKL framework achieved the mean classification accuracy, sensitivity, specificity, Youden index, false positive rate, and false negative rate of 90.41 ± 5.80%, 93.56 ± 5.90%, 86.89 ± 9.38%, 79.44 ± 11.83%, 13.11 ± 9.38% and 6.44 ± 5.90%, respectively, by soft margin MKL classifier. CONCLUSION The experimental results indicate that the proposed DCCA-MKL framework achieves best performance for discriminating benign liver tumors from malignant liver cancers. Moreover, it is also proved that the three-phase CEUS image based CAD is feasible for liver tumors with the proposed DCCA-MKL framework.
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Affiliation(s)
- Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Dan Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Yi-Yi Qian
- Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Xiao Zheng
- Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Xiao-Wan Bo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Wen-Wen Yue
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Qi Zhang
- Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Jun Shi
- Shanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
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Liu YJ, Guo LH, Li J, Yue JT, Shi MS. [Genetic Polymorphisms of 27 Y-STR Loci in Dongxiang Population of Gansu Province]. Fa Yi Xue Za Zhi 2018; 34:270-275. [PMID: 30051666 DOI: 10.12116/j.issn.1004-5619.2018.03.011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 10/11/2016] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To investigate the genetic polymorphisms of 27 Y-STR in Dongxiang population of Gansu province, and to explore the population genetic relationship and the value of forensic application. METHODS The genotyping of 27 Y-STR loci in 526 unrelated male individuals in Dongxiang population of Gansu province were detected by STRtyper-27Y kit. The allele frequencies and haplotype diversity were also calculated. Combining with other genetics data of 14 loci in same populations, which have been published at home and abroad, the genetic distance and clustering relationship in Dongxiang population of Gansu province were calculated. RESULTS Totally 55 haplotypes were found in the DYS385a/b biallelic loci, 39 haplotypes in DYF387S1 loci, and 4-16 alleles in the rest 23 single copy STR loci. The GD value was from 0.453 9 (DYS391) to 0.957 5 (DYS385a/b). Totally 471 haplotypes were observed in 27 Y-STR loci in 526 individuals, and the value of haplotypes diversity was 0.999 5. The genetic distance between Dongxiang and Tibetan populations of Gansu province was the closest (0.068 2), while it was the longest between Dongxiang population in Gansu province and Han population in Henan province (0.084 7). The result of dimensional analysis established upon the genetic distance was basically matched with that of the cluster analysis. CONCLUSIONS The 27 Y-STR loci show a high genetic polymorphism in Dongxiang population of Gansu province, which has significance for the Y-STR database establishment, population genetics study and forensic practice.
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Affiliation(s)
- Y J Liu
- Institute of Criminal Science and Technology, Xuchang Public Security Bureau, Xuchang 461000, China
| | - L H Guo
- Institute of Criminal Science and Technology, Public Security Department of Henan Province, Zhengzhou 450003, China
| | - J Li
- Institute of Criminal Science and Technology, Xuchang Public Security Bureau, Xuchang 461000, China
| | - J T Yue
- Institute of Criminal Science and Technology, Xuchang Public Security Bureau, Xuchang 461000, China
| | - M S Shi
- Key Laboratory of Evidence Science, Ministry of Education, China University of Political Science and Law, Beijing 100088, China
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Ren WW, Li DD, Chen X, Li XL, He YP, Guo LH, Liu LN, Sun LP, Zhang XP. MicroRNA-125b reverses oxaliplatin resistance in hepatocellular carcinoma by negatively regulating EVA1A mediated autophagy. Cell Death Dis 2018; 9:547. [PMID: 29749374 PMCID: PMC5945723 DOI: 10.1038/s41419-018-0592-z] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2017] [Revised: 04/10/2018] [Accepted: 04/12/2018] [Indexed: 12/15/2022]
Abstract
EVA1A (also known as transmembrane protein 166) is a transmembrane protein involved in the regulation of autophagy that acts as an adaptor protein to recruit or bind proteins in the lysosome or endoplasmic reticulum. In the present study, we identified EVA1A as a target of microRNA-125b (miR-125b), a member of a highly conserved family of miRNAs that has been proposed as a biomarker for hepatocellular carcinoma (HCC). Analysis of oxaliplatin-sensitive and oxaliplatin-resistant HCC cell lines showed that miR-125b is downregulated in resistant cells and its overexpression in sensitive cells decreased resistance to oxaliplatin by inhibiting cell proliferation, migration and epithelial–mesenchymal transition (EMT). EVA1A expression was shown to be upregulated in tissue samples from oxaliplatin-resistant HCC patients, and its ectopic expression partially induced autophagy and reversed the effect of miR-125b on inhibiting the growth of oxaliplatin-resistant cell lines and xenograft tumors. Taken together, our results suggest that miR-125b plays a role in the resistance of HCC cells to chemotherapy via a mechanism involving the downregulation of EVA1A-mediated autophagy.
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Affiliation(s)
- Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China
| | - Dan-Dan Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China
| | - Xiaolan Chen
- Department of Radiotherapy, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China
| | - Ya-Ping He
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China
| | - Lin-Na Liu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, 200072, China.
| | - Xiao-Ping Zhang
- Department of Interventional & Vascular Surgery, Tongji University School of Medicine, Shanghai, 200072, China.
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Abstract
OBJECTIVES To investigate the genetic data of 16 X-STR loci in Henan Han population and to assess the application value in forensic science. METHODS The DNA of 326 unrelated individuals in Henan Han population were amplified using Goldeneye™ DNA identification system 17X kit, and the PCR products were analyzed by electrophoresis through 3130xl genetic analyzer. The fragment sizes of alleles were analyzed subsequently by GeneMapper® ID-X. Allele frequencies and population genetics parameters of 16 X-STR loci were analyzed statistically and compared with the available data of other Han populations from different regions. RESULTS Among the 16 X-STR loci, DXS6800 were found to be moderately polymorphic and the other 15 X-STR loci were highly polymorphic. The cumulative discrimination power in females and males were 0.999 999 999 999 992 and 0.999 999 996 577 712, respectively. The combined power of exclusion in trios and in duos were 0.999 999 971 and 0.999 992 574, respectively. CONCLUSIONS The 16 X-STR loci meet the application requires of forensic genetics, especially for testing the special paternity cases.
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Affiliation(s)
- Y J Liu
- Institute of Criminal Science and Technology, Xuchang Public Security Bureau, Xuchang 461000, China
| | - L H Guo
- Institute of Criminal Science and Technology, Henan Public Security Bureau, Zhengzhou 450003, China
| | - J T Yue
- Institute of Criminal Science and Technology, Xuchang Public Security Bureau, Xuchang 461000, China
| | - M S Shi
- Key Laboratory of Evidence Science, Ministry of Education, China University of Political Science and Law, Beijing 100088, China
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Li XL, Ren WW, Fu HJ, He YP, Wang Q, Sun LP, Guo LH, Liu BJ, Fang L, Xu HX. Shear wave speed imaging of breast lesions: Speed within the lesion, fat-to-lesion speed ratio, or gland-to-lesion speed ratio? Clin Hemorheol Microcirc 2017; 67:81-90. [PMID: 28482624 DOI: 10.3233/ch-170253] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Hui-Jun Fu
- Department of Pathology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ya-Ping He
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Bo-Ji Liu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Lin Fang
- Department of Thyroid and Breast Surgery, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
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He YP, Xu HX, Zhao CK, Sun LP, Li XL, Yue WW, Guo LH, Wang D, Ren WW, Wang Q, Qu S. Cytologically indeterminate thyroid nodules: increased diagnostic performance with combination of US TI-RADS and a new scoring system. Sci Rep 2017; 7:6906. [PMID: 28761147 PMCID: PMC5537223 DOI: 10.1038/s41598-017-07353-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2017] [Accepted: 06/27/2017] [Indexed: 01/10/2023] Open
Abstract
To investigate the diagnostic performance of combination of ultrasound (US) thyroid imaging reporting and data system (TI-RADS) and a new US scoring system for diagnosing thyroid nodules (TNs) with indeterminate results (Bethesda categories III, IV and V) on fine-needle aspiration (FNA) cytology. 453 patients with 453 cytologically indeterminate TNs were included in this study. Multivariate analyses were performed to construct the scoring system. The diagnostic performances of TI-RADS and the combined method were evaluated and compared. Multivariate analyses revealed that marked hypoechogenicity, taller than wide shape and absence of halo sign were independent predictors for malignancy in cytologically indeterminate TNs. Scoring system was thereafter defined as follows: risk score (RS) = 3.2 x (if marked hypoechogenicity) + 2.8 x (if taller than wide shape) + 1.3 x (if absence of halo sign). Compared with TI-RADS alone, the areas under the receiver operating characteristic curves (AUC), specificity, accuracy and positive predictive value (PPV) of the combined method increased significantly with 0.731 versus 0.569, 48.5% versus 14.1%, 76.2% versus 62.3%, and 70.9% versus 59.9%, respectively (all P < 0.05). The combination of TI-RADS and new US scoring system showed superior diagnostic performances in predicting malignant TNs with indeterminate FNA cytology results in comparison with TI-RADS alone.
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Affiliation(s)
- Ya-Ping He
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China. .,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China. .,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China.
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Wen-Wen Yue
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Dan Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Wei-Wei Ren
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Qiao Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China
| | - Shen Qu
- Thyroid Institute, Tongji University School of Medicine, Shanghai, 200072, China.,Shanghai Center for Thyroid Diseases, Shanghai, 200072, China.,Department of Endocrinology & Metabolism, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, 200072, China
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Bo XW, Xu HX, Guo LH, Sun LP, Li XL, Zhao CK, He YP, Liu BJ, Li DD, Zhang K, Wang D. Ablative safety margin depicted by fusion imaging with post-treatment contrast-enhanced ultrasound and pre-treatment CECT/CEMRI after radiofrequency ablation for liver cancers. Br J Radiol 2017; 90:20170063. [PMID: 28749166 DOI: 10.1259/bjr.20170063] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To evaluate the value of fusion imaging with post-treatment contrast-enhanced ultrasound (CEUS) and pre-treatment contrast-enhanced CT/MRI (CECT/CEMRI) in evaluating ablative safety margin after percutaneous ultrasound (US)-guided radiofrequency ablation (RFA) for liver cancers. METHODS 34 consecutive patients with 47 liver lesions who had undergone RFA were included. Fusion imaging with post-treatment CEUS and pre-treatment CECT/CEMRI was carried out to evaluate local treatment response and ablative safety margin within 1-3 days after RFA. The minimal ablative safety margins of the ablation zones were recorded. The complete response (CR) rate was calculated with reference to CECT/CEMRI results 1 month after RFA. The local tumour progression (LTP) was also recorded. RESULTS Of the 47 ablation zones, 47 (100%) were clearly depicted with CEUS-CECT/CEMRI fusion imaging, 36 (76.6%) with US-CECT/CEMRI fusion imaging and 21 (44.7%) with conventional US (both p < 0.001). The minimal ablative safety margins were great than or equal to 5 mm in 28 ablation zones, between 0 and 5 mm in 15, and less than 0 mm in 4. For the four lesions without enough ablative safety margin, three were referred to follow-up because CEUS showed larger ablation zones than pre-treatment lesions and the remaining lesion was subject to additional RFA 5 days after the first RFA. The CR rate was 95.7% (45/47) with reference to CECT/CEMRI results 1 month after RFA. During 2 to 34 months follow-up, LTP was found in two (4.4%) of 45 lesions with CR. Insufficient ablative safety margin was more commonly found in those lesions with LTP than those without LTP (1/4 vs 1/43, p < 0.001). CONCLUSION Fusion imaging with post-treatment CEUS and pre-treatment CECT/CEMRI can depict the ablative safety margin accurately after RFA. Inadequate ablative safety margin is associated with LTP. Depiction of ablative safety margin by fusion imaging after ablation might be considered as a routine procedure to assess the treatment response of RFA. Advances in knowledge: Fusion imaging with post-treatment CEUS and pre-treatment CECT/CEMRI is an effective method to evaluate the ablative safety margin early after RFA. Therefore, it should be recommended to be used as a routine procedure after RFA for liver cancers.
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Affiliation(s)
- Xiao-Wan Bo
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Hui-Xiong Xu
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Le-Hang Guo
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Li-Ping Sun
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Xiao-Long Li
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Chong-Ke Zhao
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Ya-Ping He
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Bo-Ji Liu
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Dan-Dan Li
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Kun Zhang
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Dan Wang
- 1 Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Shanghai, China.,2 Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
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Chen BD, Xu HX, Zhang YF, Liu BJ, Guo LH, Li DD, Zhao CK, Li XL, Wang D, Zhao SS. The diagnostic performances of conventional strain elastography (SE), acoustic radiation force impulse (ARFI) imaging and point shear-wave speed (pSWS) measurement for non-calcified thyroid nodules. Clin Hemorheol Microcirc 2017; 65:259-273. [PMID: 27567801 DOI: 10.3233/ch-16178] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
BACKGROUND Non-calcified thyroid nodules are relatively difficult to diagnose only relying on features of at conventional US images. OBJECTIVE To investigate the diagnostic performances of conventional strain elastography (SE), acoustic radiation force impulse (ARFI) SE and point shear-wave speed (pSWS) measurement for non-calcified thyroid nodules. METHODS A total of 201 non-calcified thyroid nodules in 195 patients were studied. They were examined with conventional ultrasound (US), conventional SE, ARFI SE and pSWS measurement. Their diagnostic performances and multivariable models were assessed with receiver operating characteristic (ROC) curve and logistic regression analyses respectively. RESULTS There were 156 benign and 45 malignant non-calcified nodules proven by histopathology or cystology. The mean diameters of the nodules were 21.2±10.8 mm. Areas under receiver operating characteristic curve (AUCs) of elastography features (ranged, 0.488-0.745) were all greater than that of US (ranged, 0.111-0.332). At multivariate analysis, there were three predictors of malignancy for non-calcified nodules, including pSWS of nodule (odds ratio [OR], 34.960; 95% CI, 11.582-105.529), marked hypoechogenicity (OR, 16.223; 95% CI, 1.761-149.454) and ARFI SE grade (OR, 10.900; 95% CI, 3.567-33.310). US+SE+pSWS owned the largest AUC (0.936; 95% CI, 0.887-0.985; P < 0.05), followed by US+pSWS (0.889; 95% CI, 0.823-0.955), and the poorest was US (0.727; 95% CI, 0.635-0.819). CONCLUSIONS ARFI SE and pSWS measurement had better diagnostic performances than conventional SE and US. When US combined with SE and pSWS measurement, it could achieve an excellent diagnostic performance and might contribute a better decision-making of FNA for non-calcified thyroid nodules.
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Affiliation(s)
- Bao-Ding Chen
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Affiliated Hospital of Jiangsu University, Zhenjiang, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center of Thyroid Diseases, Shanghai, China
| | - Yi-Feng Zhang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center of Thyroid Diseases, Shanghai, China
| | - Bo-Ji Liu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center of Thyroid Diseases, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center of Thyroid Diseases, Shanghai, China
| | - Dan-Dan Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center of Thyroid Diseases, Shanghai, China
| | - Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center of Thyroid Diseases, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center of Thyroid Diseases, Shanghai, China
| | - Dan Wang
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Nanjing Medical University, Shanghai, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Educational Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center of Thyroid Diseases, Shanghai, China
| | - Shuang-Shuang Zhao
- Department of Medical Ultrasound, Affiliated Hospital of Jiangsu University, Zhenjiang, China
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48
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Zhao CK, Xu HX, Guo LH, Sun LP, Yu M. A primary hepatic angiosarcoma mimicking intrahepatic cholangiocarcinoma on conventional ultrasound and contrast-enhanced ultrasound: A case report and review of literatures. Clin Hemorheol Microcirc 2017; 66:7-14. [PMID: 27814287 DOI: 10.3233/ch-16212] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
| | - Mei Yu
- Department of Medical Ultrasound, Shanghai Dahua Hospital, Shanghai, China
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49
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Zhao CK, Xu HX, Lu F, Sun LP, He YP, Guo LH, Li XL, Bo XW, Yue WW. Factors associated with initial incomplete ablation for benign thyroid nodules after radiofrequency ablation: First results of CEUS evaluation. Clin Hemorheol Microcirc 2017; 65:393-405. [PMID: 27983547 DOI: 10.3233/ch-16208] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Affiliation(s)
- Chong-Ke Zhao
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Feng Lu
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Ya-Ping He
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Xiao-Long Li
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Xiao-Wan Bo
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Wen-Wen Yue
- Department of Medical Ultrasound, Shanghai Tenth People’s Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China
- Thyroid Institute, Tongji University School of Medicine, Shanghai, China
- Shanghai Research Center for Thyroid Diseases, Shanghai, China
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50
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Yang YP, Xu XH, Bo XW, Liu BJ, Guo LH, Xu JM, Sun LP, Xu HX. Comparison of Virtual Touch Tissue Imaging & Quantification (VTIQ) and Virtual Touch Tissue Quantification (VTQ) for diagnosis of thyroid nodules. Clin Hemorheol Microcirc 2017; 65:137-149. [PMID: 27567799 DOI: 10.3233/ch-16142] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
OBJECTIVE The aim of this study was to compare the diagnostic performance of Virtual Touch Tissue Imaging & Quantification (VTIQ) and Virtual Touch Tissue Quantification (VTQ) in differentiating benign from malignant thyroid nodules (TNs). MATERIALS AND METHODS In this study 107 TNs in 107 patients were enrolled and analyzed. All of them were detected by conventional ultrasound (US) and confirmed by fine-needle aspiration (FNA) biopsy or surgery. VTIQ and VTQ examinations were performed on each nodule. Thereafter the median and mean of shear wave speed (SWS) values in lesions on VTIQ and VTQ were computed (SWS-median and SWS-mean). With cytological results of FNA and histological results adopted as the reference standard, area under the receiver operating characteristic (AUROC) curve analysis was performed to evaluate the diagnostic efficiency of VTIQ and VTQ in differentiation of TNs. RESULTS Among the 107 lesions, 19 were papillary thyroid carcinomas (PTCs), 1 was medullary thyroid carcinoma (MTC) and 87 were benign. In total lesions, AUROC-median in VTIQ was significantly higher than that in VTQ (0.851 vs.0.759; p < 0.05). CONCLUSION VTIQ and VTQ were equivalent in diagnosing TNs when using SWS-mean, whereas VTIQ showed better performance in comparison with VTQ when using SWS-median.
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Affiliation(s)
- Yu-Ping Yang
- Department of Ultrasound, Guangdong Medical University Affiliated Hospital, Zhanjiang, China.,Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Xiao-Hong Xu
- Department of Ultrasound, Guangdong Medical University Affiliated Hospital, Zhanjiang, China
| | - Xiao-Wan Bo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Bo-Ji Liu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Le-Hang Guo
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Jun-Mei Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Li-Ping Sun
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center for Thyroid Diseases, Shanghai, China
| | - Hui-Xiong Xu
- Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, China.,Thyroid Institute, Tongji University School of Medicine, Shanghai, China.,Shanghai Research Center for Thyroid Diseases, Shanghai, China
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