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Zhu L, Pan J, Mou W, Deng L, Zhu Y, Wang Y, Pareek G, Hyams E, Carneiro BA, Hadfield MJ, El-Deiry WS, Yang T, Tan T, Tong T, Ta N, Zhu Y, Gao Y, Lai Y, Cheng L, Chen R, Xue W. Harnessing artificial intelligence for prostate cancer management. Cell Rep Med 2024; 5:101506. [PMID: 38593808 PMCID: PMC11031422 DOI: 10.1016/j.xcrm.2024.101506] [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: 08/30/2023] [Revised: 01/05/2024] [Accepted: 03/19/2024] [Indexed: 04/11/2024]
Abstract
Prostate cancer (PCa) is a common malignancy in males. The pathology review of PCa is crucial for clinical decision-making, but traditional pathology review is labor intensive and subjective to some extent. Digital pathology and whole-slide imaging enable the application of artificial intelligence (AI) in pathology. This review highlights the success of AI in detecting and grading PCa, predicting patient outcomes, and identifying molecular subtypes. We propose that AI-based methods could collaborate with pathologists to reduce workload and assist clinicians in formulating treatment recommendations. We also introduce the general process and challenges in developing AI pathology models for PCa. Importantly, we summarize publicly available datasets and open-source codes to facilitate the utilization of existing data and the comparison of the performance of different models to improve future studies.
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Affiliation(s)
- Lingxuan Zhu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; Department of Etiology and Carcinogenesis, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China; Changping Laboratory, Beijing, China
| | - Jiahua Pan
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Weiming Mou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Longxin Deng
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yinjie Zhu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Yanqing Wang
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China
| | - Gyan Pareek
- Department of Surgery (Urology), Brown University Warren Alpert Medical School, Providence, RI, USA; Minimally Invasive Urology Institute, Providence, RI, USA
| | - Elias Hyams
- Department of Surgery (Urology), Brown University Warren Alpert Medical School, Providence, RI, USA; Minimally Invasive Urology Institute, Providence, RI, USA
| | - Benedito A Carneiro
- The Legorreta Cancer Center at Brown University, Lifespan Cancer Institute, Providence, RI, USA
| | - Matthew J Hadfield
- The Legorreta Cancer Center at Brown University, Lifespan Cancer Institute, Providence, RI, USA
| | - Wafik S El-Deiry
- The Legorreta Cancer Center at Brown University, Laboratory of Translational Oncology and Experimental Cancer Therapeutics, Department of Pathology & Laboratory Medicine, The Warren Alpert Medical School of Brown University, The Joint Program in Cancer Biology, Brown University and Lifespan Health System, Division of Hematology/Oncology, The Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Tao Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Tan
- Faculty of Applied Sciences, Macao Polytechnic University, Address: R. de Luís Gonzaga Gomes, Macao, China
| | - Tong Tong
- College of Physics and Information Engineering, Fuzhou University, Fujian 350108, China
| | - Na Ta
- Department of Pathology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yan Zhu
- Department of Pathology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yisha Gao
- Department of Pathology, Shanghai Changhai Hospital, Second Military Medical University, Shanghai 200433, China
| | - Yancheng Lai
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China; The First School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Liang Cheng
- Department of Surgery (Urology), Brown University Warren Alpert Medical School, Providence, RI, USA; Department of Pathology and Laboratory Medicine, Department of Surgery (Urology), Brown University Warren Alpert Medical School, Lifespan Health, and the Legorreta Cancer Center at Brown University, Providence, RI, USA.
| | - Rui Chen
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
| | - Wei Xue
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200127, China.
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Zhu L, Mou W, Xie J, Luo P, Chen R. What is the best approach to assessing generative AI in medicine? Resuscitation 2024; 197:110164. [PMID: 38447908 DOI: 10.1016/j.resuscitation.2024.110164] [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] [Received: 02/22/2024] [Accepted: 02/26/2024] [Indexed: 03/08/2024]
Affiliation(s)
- Lingxuan Zhu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China; Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Weiming Mou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiarui Xie
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Rui Chen
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai, 200127, China.
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Zhu L, Mou W, Luo P. Potential of Large Language Models as Tools Against Medical Disinformation. JAMA Intern Med 2024; 184:450. [PMID: 38407861 DOI: 10.1001/jamainternmed.2024.0020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/27/2024]
Affiliation(s)
- Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Weiming Mou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Zhu L, Mou W, Lai Y, Lin J, Luo P. Language and cultural bias in AI: comparing the performance of large language models developed in different countries on Traditional Chinese Medicine highlights the need for localized models. J Transl Med 2024; 22:319. [PMID: 38553705 PMCID: PMC10981296 DOI: 10.1186/s12967-024-05128-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Accepted: 03/23/2024] [Indexed: 04/01/2024] Open
Affiliation(s)
- Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China
| | - Weiming Mou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, 100 Haining Road, Hongkou District, Shanghai, China
| | - Yancheng Lai
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China
| | - Junda Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, China.
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Shi X, Deng G, Wen H, Lin A, Wang H, Zhu L, Mou W, Liu Z, Li X, Zhang J, Cheng Q, Luo P. Role of body mass index and weight change in the risk of cancer: A systematic review and meta-analysis of 66 cohort studies. J Glob Health 2024; 14:04067. [PMID: 38547495 PMCID: PMC10978059 DOI: 10.7189/jogh.14.04067] [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] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/02/2024] Open
Abstract
Background This study was designed to evaluate the effects of body mass index (BMI) and weight change on the risk of developing cancer overall and cancer at different sites. Methods We searched PubMed and other databases up to July 2023 using the keywords related to 'risk', 'cancer', 'weight', 'overweight', and 'obesity'. We identified eligible studies, and the inclusion criteria encompassed cohort studies in English that focused on cancer diagnosis and included BMI or weight change as an exposure factor. Multiple authors performed data extraction and quality assessment, and statistical analyses were carried out using RevMan and R software. We used random- or fixed-effects models to calculate the pooled relative risk (RR) or hazard ratio along with 95% confidence intervals (CIs). We used the Newcastle-Ottawa Scale to assess study quality. Results Analysis included 66 cohort studies. Compared to underweight or normal weight, overweight or obesity was associated with an increased risk of endometrial cancer, kidney cancer, and liver cancer but a decreased risk of prostate cancer and lung cancer. Being underweight was associated with an increased risk of gastric cancer and lung cancer but not that of postmenopausal breast cancer or female reproductive cancer. In addition, weight loss of more than five kg was protective against overall cancer risk. Conclusions Overweight and obesity increase the risk of most cancers, and weight loss of >5 kg reduces overall cancer risk. These findings provide insights for cancer prevention and help to elucidate the mechanisms underlying cancer development. Registration Reviewregistry1786.
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Affiliation(s)
- Xiaoye Shi
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Gengwen Deng
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Haiteng Wen
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China
| | - Anqi Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Haitao Wang
- Thoracic Surgery Branch, Centre for Cancer Research, National Institutes of Health, Bethesda, Maryland, USA
| | - Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Aetiology and Carcinogenesis, National Cancer Centre, National Clinical Research Centre for Cancer, Cancer Hospital, Changping Laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weiming Mou
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zaoqu Liu
- Key Laboratory of Proteomics, Beijing Proteome Research Centre, National Centre for Protein Sciences, Beijing Institute of Lifeomics, Beijing, China
- Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, Department of Pathophysiology, Peking Union Medical College, Beijing, China
| | - Xiaohua Li
- Department of Respiratory and Critical Care Medicine, Sixth People’s Hospital of Chengdu, Chengdu, Sichuan, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Clinical Research Centre for Geriatric Disorders, Xiangya Hospital, Central South University, Hunan, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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Zhu L, Mou W, Lai Y, Chen J, Lin S, Xu L, Lin J, Guo Z, Yang T, Lin A, Qi C, Gan L, Zhang J, Luo P. Step into the era of large multimodal models: A pilot study on ChatGPT-4V(ision)'s ability to interpret radiological images. Int J Surg 2024:01279778-990000000-01218. [PMID: 38498394 DOI: 10.1097/js9.0000000000001359] [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] [Received: 01/16/2024] [Accepted: 03/04/2024] [Indexed: 03/20/2024]
Affiliation(s)
- Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
- Department of Etiology and Carcinogenesis, National Cancer Center/ National Clinical Research Center for Cancer/Cancer Hospital, Changping laboratory, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weiming Mou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yancheng Lai
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Jinghong Chen
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Shujia Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Liling Xu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Junda Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Zeji Guo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Tao Yang
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer /Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
| | - Anqi Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Chang Qi
- Institute of Logic and Computation, TU Wien, Austria
| | - Ling Gan
- Department of Ultrasound Medicine, The First Affiliated Hospital, Fujian Medical University, 20 Chazhong Road, Fuzhou, 350005, Fujian, China
- Department of Ultrasound Medicine, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, 350212, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, China
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Zhu L, Mou W, Wu K, Zhang J, Luo P. Can DALL-E 3 Reliably Generate 12-Lead ECGs and Teaching Illustrations? Cureus 2024; 16:e52748. [PMID: 38384621 PMCID: PMC10879738 DOI: 10.7759/cureus.52748] [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] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/22/2024] [Indexed: 02/23/2024] Open
Abstract
The recent integration of the latest image generation model DALL-E 3 into ChatGPT allows text prompts to easily generate the corresponding images, enabling multimodal output from ChatGPT. We explored the feasibility of DALL-E 3 for drawing a 12-lead ECG and found that it can draw rudimentary 12-lead electrocardiograms (ECG) displaying some of the parameters, although the details are not completely accurate. We also explored DALL-E 3's capacity to create vivid illustrations for teaching resuscitation-related medical knowledge. DALL-E 3 produced accurate CPR illustrations emphasizing proper hand placement and technique. For ECG principles, it produced creative heart-shaped waveforms tying ECGs to the heart. With further training, DALL-E 3 shows promise to expand easy-to-understand visual medical teaching materials and ECG simulations for different disease states. In conclusion, DALL-E 3 has the potential to generate realistic 12-lead ECGs and teaching schematics, but expert validation is still needed.
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Affiliation(s)
- Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, CHN
| | - Weiming Mou
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, CHN
| | - Keren Wu
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, CHN
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, CHN
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital of Southern Medical University, Guangzhou, CHN
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Lin A, Mou W, Zhu L, Yang T, Zhou C, Zhang J, Luo P. Mutations in the DNA polymerase binding pathway affect the immune microenvironment of patients with small-cell lung cancer and enhance the efficacy of platinum-based chemotherapy. Cancer Innov 2023; 2:500-512. [PMID: 38125769 PMCID: PMC10730006 DOI: 10.1002/cai2.84] [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] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 05/15/2023] [Accepted: 05/18/2023] [Indexed: 12/23/2023]
Abstract
Background Small-cell lung cancer (SCLC) is characterized by its high malignancy and is associated with a poor prognosis. In the early stages of the disease, platinum-based chemotherapy is the recommended first-line treatment and has demonstrated efficacy. However, SCLC is prone to recurrence and is generally resistant to chemotherapy in its later stages. Methods Here, we collected samples from SCLC patients who received platinum-based chemotherapy, performed genomic and transcriptomic analyses, and validated our results with publicly available data. Results SCLC patients with DNA polymerase binding pathway mutations had an improved prognosis after platinum chemotherapy compared with patients without such mutations. Patients in the mutant (MT) group had higher infiltration of T cells, B cells, and M1 macrophages compared with patients without DNA polymerase binding pathway mutations. Conclusions DNA polymerase binding pathway mutations can be used as prognostic markers for platinum-based chemotherapy in SCLC.
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Affiliation(s)
- Anqi Lin
- Department of Oncology, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Weiming Mou
- Department of Oncology, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
- The First Clinical Medical SchoolSouthern Medical UniversityGuangzhouGuangdongChina
- Department of Urology, Shanghai General HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Lingxuan Zhu
- The First Clinical Medical SchoolSouthern Medical UniversityGuangzhouGuangdongChina
- Department of Etiology and CarcinogenesisNational Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Tao Yang
- The First Clinical Medical SchoolSouthern Medical UniversityGuangzhouGuangdongChina
- Department of Medical OncologyNational Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Chaozheng Zhou
- The First Clinical Medical SchoolSouthern Medical UniversityGuangzhouGuangdongChina
| | - Jian Zhang
- Department of Oncology, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
| | - Peng Luo
- Department of Oncology, Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdongChina
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Song Z, Zhang W, Jiang Q, Deng L, Du L, Mou W, Lai Y, Zhang W, Yang Y, Lim J, Liu K, Park JY, Ng CF, Ong TA, Wei Q, Li L, Wei X, Chen M, Cao Z, Wang F, Chen R. Artificial intelligence-aided detection for prostate cancer with multimodal routine health check-up data: an Asian multi-center study. Int J Surg 2023; 109:3848-3860. [PMID: 37988414 PMCID: PMC10720852 DOI: 10.1097/js9.0000000000000862] [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: 08/21/2023] [Accepted: 10/22/2023] [Indexed: 11/23/2023]
Abstract
BACKGROUND The early detection of high-grade prostate cancer (HGPCa) is of great importance. However, the current detection strategies result in a high rate of negative biopsies and high medical costs. In this study, the authors aimed to establish an Asian Prostate Cancer Artificial intelligence (APCA) score with no extra cost other than routine health check-ups to predict the risk of HGPCa. PATIENTS AND METHODS A total of 7476 patients with routine health check-up data who underwent prostate biopsies from January 2008 to December 2021 in eight referral centres in Asia were screened. After data pre-processing and cleaning, 5037 patients and 117 features were analyzed. Seven AI-based algorithms were tested for feature selection and seven AI-based algorithms were tested for classification, with the best combination applied for model construction. The APAC score was established in the CH cohort and validated in a multi-centre cohort and in each validation cohort to evaluate its generalizability in different Asian regions. The performance of the models was evaluated using area under the receiver operating characteristic curve (ROC), calibration plot, and decision curve analyses. RESULTS Eighteen features were involved in the APCA score predicting HGPCa, with some of these markers not previously used in prostate cancer diagnosis. The area under the curve (AUC) was 0.76 (95% CI:0.74-0.78) in the multi-centre validation cohort and the increment of AUC (APCA vs. PSA) was 0.16 (95% CI:0.13-0.20). The calibration plots yielded a high degree of coherence and the decision curve analysis yielded a higher net clinical benefit. Applying the APCA score could reduce unnecessary biopsies by 20.2% and 38.4%, at the risk of missing 5.0% and 10.0% of HGPCa cases in the multi-centre validation cohort, respectively. CONCLUSIONS The APCA score based on routine health check-ups could reduce unnecessary prostate biopsies without additional examinations in Asian populations. Further prospective population-based studies are warranted to confirm these results.
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Affiliation(s)
- Zijian Song
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine
| | - Wei Zhang
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University
| | - Qingchao Jiang
- Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai
| | - Longxin Deng
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University
| | - Le Du
- Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai
| | - Weiming Mou
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
| | - Yancheng Lai
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University
| | - Wenhui Zhang
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University
| | - Yang Yang
- Department of Clinical Laboratory, Nanjing Jinling Hospital, Nanjing University School of Medicine
| | - Jasmine Lim
- Department of Urology, University of Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Kang Liu
- SH Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Jae Young Park
- Department of Urology, Korea University Ansan Hospital, Soule, Korea
| | - Chi-Fai Ng
- SH Ho Urology Centre, Department of Surgery, The Chinese University of Hong Kong, Hong Kong SAR, China
| | - Teng Aik Ong
- Department of Urology, University of Malaya Medical Centre, Kuala Lumpur, Malaysia
| | - Qiang Wei
- Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan
| | - Lei Li
- Department of Urology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an Shaanxi
| | - Xuedong Wei
- Department of Urology, The First Affiliated Hospital of Soochow University, Suzhou
| | - Ming Chen
- Department of Urology, Zhongda Hospital, Southeast University, Nanjing
| | - Zhixing Cao
- Key Laboratory of Smart Manufacturing in Energy Chemical Process, Ministry of Education
- State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai
| | - Fubo Wang
- School of Life Sciences, Guangxi Medical University, Nanning, Guangxi
- Center for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi
- Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Guangxi China
| | - Rui Chen
- Department of Urology, Shanghai Changhai Hospital, Second Military Medical University
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine
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Zhu L, Mou W, Yang T, Chen R. ChatGPT can pass the AHA exams: Open-ended questions outperform multiple-choice format. Resuscitation 2023; 188:109783. [PMID: 37349064 DOI: 10.1016/j.resuscitation.2023.109783] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 03/17/2023] [Indexed: 06/24/2023]
Abstract
The study by Fijačko et al. tested ChatGPT's ability to pass the BLS and ACLS exams of AHA, but found that ChatGPT failed both exams. A limitation of their study was using ChatGPT to generate only one response, which may have introduced bias. When generating three responses per question, ChatGPT can pass BLS exam with an overall accuracy of 84%. When incorrectly answered questions were rewritten as open-ended questions, ChatGPT's accuracy rate increased to 96% and 92.1% for the BLS and ACLS exams, respectively, allowing ChatGPT to pass both exams with outstanding results.
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Affiliation(s)
- Lingxuan Zhu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai 200127, China; The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515 Guangdong, China
| | - Weiming Mou
- The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515 Guangdong, China
| | - Tao Yang
- The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515 Guangdong, China
| | - Rui Chen
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, 160 Pujian Road, Shanghai 200127, China.
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Zhu L, Mou W, Chen R. Can the ChatGPT and other large language models with internet-connected database solve the questions and concerns of patient with prostate cancer and help democratize medical knowledge? J Transl Med 2023; 21:269. [PMID: 37076876 PMCID: PMC10115367 DOI: 10.1186/s12967-023-04123-5] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 04/09/2023] [Indexed: 04/21/2023] Open
Affiliation(s)
- Lingxuan Zhu
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China
- The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China
| | - Weiming Mou
- The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China
| | - Rui Chen
- Department of Urology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200127, China.
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Mou W, Zhu L, Yang T, Lin A, Lyu Q, Guo L, Liu Z, Cheng Q, Zhang J, Luo P. Relationship between ATOH1 and tumor microenvironment in colon adenocarcinoma patients with different microsatellite instability status. Cancer Cell Int 2022; 22:229. [PMID: 35836254 PMCID: PMC9281179 DOI: 10.1186/s12935-022-02651-6] [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] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 07/05/2022] [Indexed: 11/19/2022] Open
Abstract
Background Colon adenocarcinoma (COAD) is one of the major varieties of malignant tumors threatening human health today. Immune checkpoint inhibitors (ICIs) have recently begun to emerge as an effective option for the treatment of COAD patients, but not all patients can benefit from ICI treatment. Previous studies have suggested that ICIs boast significant clinical effects on patients with microsatellite instability-high (MSI-H), while conversely patients with microsatellite-stable/microsatellite instability-low (MSS/MSI-L) have shown limited response. Methods We used ATAC-seq, RNA-seq, and mutation data from The Cancer Genome Atlas Colon adenocarcinoma (TCGA-COAD) cohort to perform multi-omics differential analysis on COAD samples with different MSI statuses, then further screened genes by additionally combining these results with survival analysis. We analyzed the effects of the screened genes on the tumor microenvironment and immunogenicity of COAD patients, and subsequently determined their influence on the efficacy of ICIs in COAD patients using a series of predictive indexes. Results Twelve genes were screened in the TCGA-COAD cohort, and after the combined survival analysis, we identified ATOH1 as having significant effects. ATOH1 is characterized by high chromatin accessibility, high expression, and high mutation in COAD patients in the MSI-H group. COAD patients with high ATOH1 expression are associated with a better prognosis, unique immune microenvironment, and higher efficacy in ICI treatment. Enrichment analysis showed that COAD patients with high ATOH1 expression displayed significant upregulation in their humoral immunity and other related pathways. Conclusions We speculate that ATOH1 may influence the efficacy of ICIs therapy in patients with COAD by affecting the immune microenvironment and immunogenicity of the tumor. Supplementary Information The online version contains supplementary material available at 10.1186/s12935-022-02651-6.
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Affiliation(s)
- Weiming Mou
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China.,The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China
| | - Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China.,The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China
| | - Tao Yang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China.,The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China
| | - Anqi Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China
| | - Qiong Lyu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China
| | - Linlang Guo
- Department of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, Guangdong, China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.,National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China.
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China.
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Zhou C, Lin A, Cao M, Ding W, Mou W, Guo N, Chen Z, Zhang J, Luo P. Activation of the DDR Pathway Leads to the Down-Regulation of the TGFβ Pathway and a Better Response to ICIs in Patients With Metastatic Urothelial Carcinoma. Front Immunol 2021; 12:634741. [PMID: 34220801 PMCID: PMC8253049 DOI: 10.3389/fimmu.2021.634741] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2020] [Accepted: 04/16/2021] [Indexed: 12/25/2022] Open
Abstract
Immune checkpoint inhibitors (ICIs) have changed the treatment paradigm of metastatic urothelial carcinoma (mUC), a dominant type of bladder cancer (BC). Previous studies have shown an association between gene mutations in the DNA damage response (DDR) pathway and the immunotherapy response in mUC but have neglected the effect of the activation level of the DDR pathway on the ICI response in mUC. A published immunotherapy cohort with genome, transcriptome and survival data for 348 mUC patients was used. An external cohort (The Cancer Genome Atlas Bladder Cancer) and the GSE78220 cohort were used for validation. The activation level of the DDR pathway was quantified using single-sample gene set enrichment analysis (ssGSEA). Further analysis on the genome, immunogenicity, and the immune microenvironment was conducted using the DDR ssGSEA enrichment score-high (DSSH) group and the DDR ssGSEA enrichment score-low (DSSL) group. In the mUC cohorts, the DSSH group was associated with longer overall survival times (P=0.026; Hazard ratio=0.67; 95%CI: 0.46−0.95). The DSSH group was also associated with higher tumor mutation burden, neoantigen load, immune-activated cell patterns, and immune-related gene expression levels. The GSEA results indicated an immune activation state in DSSH group, which correlated with a down-regulation in the transforming growth factor β receptor signaling pathway. Our study suggests that the activation level of the DDR pathway may be a novel predictive marker for immunotherapy efficacy in patients with mUC.
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Affiliation(s)
- Chaozheng Zhou
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,The First Clinical Medical School, Southern Medical University, Guangzhou, China
| | - Anqi Lin
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Manming Cao
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Weimin Ding
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Weiming Mou
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.,The First Clinical Medical School, Southern Medical University, Guangzhou, China
| | - Ningyi Guo
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Zhenyu Chen
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Jian Zhang
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
| | - Peng Luo
- The Department of Oncology, Zhujiang Hospital, Southern Medical University, Guangzhou, China
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Chen X, Zhi Y, Lin Z, Ma J, Mou W, Yu J. Prognosis prediction model for a special entity of gastric cancer, linitis plastica. J Gastrointest Oncol 2021; 12:307-327. [PMID: 34012628 DOI: 10.21037/jgo-20-264] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Background Gastric linitis plastica (GLP) is characteristic by its poor prognosis and highly aggressive characteristics compared with other types of gastric cancer (GC). However, the guidelines have not yet been distinguished between GLP and non-GLP. Methods A total of 342 eligible patients with GLP identified in the Surveillance, Epidemiology, and End Results (SEER) dataset were randomly divided into training set (n=298) and validation set (n=153). A nomogram would be developed with the constructed predicting model based on the training cohort's data, and the validation cohort would be used to validate the model. Principal component analysis (PCA) was used to evaluate the differences between groups. Cox regression and LASSO (least absolute shrinkage and selection operator) were used to construct the models. Calibration curve, time-dependent receiver operating characteristic (ROC) curve, concordance index (C-index) and decision curve analysis (DCA) were used to evaluate the predicting performance. Restricted mean survival time (RMST) was used to analyze the curative effect of adjuvant therapy. Results For patients in training cohort, univariable and multivariable Cox analyses showed that age, examined lymph nodes (LN.E), positive lymph nodes (LN.P), lesion size, combined resection, and radiotherapy are independent prognostic factors for overall survival (OS), while chemotherapy can not meet the proportional hazards (PHs) assumption; age, race, lesion size, LN.E, LN.P, combined resection and marital status are independent prognostic factors for cancer-specific survival (CSS). The C-index of the nomogram was 0.678 [95% confidence interval (CI), 0.660-0.696] and 0.673 (95% CI, 0.630-0.716) in the training and validation cohort, respectively. Meanwhile, the C-index of the CSS nomogram was 0.671 (95% CI, 0.653-0.699) and 0.650 (95% CI, 0.601-0.691) in the training and validation cohort for CSS, respectively. Furthermore, the nomogram was well calibrated with satisfactory consistency. RMST analysis further determined that chemotherapy and radiotherapy might be beneficial for improving 1- and 3-year OS and CSS, but not the 5-year CSS. Conclusions We developed nomograms to help predict individualized prognosis for GLP patients. The new model might help guide treatment strategies for patients with GLP.
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Affiliation(s)
- Xinhua Chen
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Yunfei Zhi
- The First Clinical Medical School, Southern Medical University, Guangzhou, China
| | - Zhousheng Lin
- The First Clinical Medical School, Southern Medical University, Guangzhou, China
| | - Jinyuan Ma
- The Second Clinical Medical School, Southern Medical University, Guangzhou, China
| | - Weiming Mou
- The First Clinical Medical School, Southern Medical University, Guangzhou, China
| | - Jiang Yu
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, China
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Zhi Y, Lin Z, Ma J, Mou W, Chen X. Distinguish the Role of Radiotherapy From Chemoradiotherapy for Gastric Cancer With Behavior of Metastasis-Indolent in Lymph Node. Technol Cancer Res Treat 2020; 19:1533033820959400. [PMID: 33148125 PMCID: PMC7653296 DOI: 10.1177/1533033820959400] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Although the landmark INT-0116 trial and National Comprehensive Cancer Network (NCCN) guidelines recommended pT3-4Nx gastric cancer (GC) patients to receive chemoradiotherapy, the role of radiotherapy has not been distinguished from chemoradiotherapy. METHODS GC with behavior of metastasis-indolent in lymph node (MILN) being confirmed with more than 15 examined LNs after gastrectomy were identified using the Surveillance, Epidemiology and End Result (SEER) database. The cancer-specific survival (CSS) of subgroups for radiotherapy, chemotherapy, chemoradiotherapy and non-adjuvant-treatment were compared. Propensity score matching (PSM) was performed between radiotherapy and non-radiotherapy subgroups to further distinguish the role of radiotherapy from chemoradiotherapy. Cox regression was performed to identify whether radiotherapy or chemotherapy could independently improve prognosis. RESULTS We identified 690 MILN GC patients in SEER database. 5-year CSS was 71.9% in radiotherapy subgroup and 75.1% in non-radiotherapy subgroup(HR = 1.013, 95% CI = 0.714-1.438, p = 0.940), 75.6% in chemotherapy subgroup and 68.5% in non-chemotherapy subgroup(HR = 0.616, 95% CI = 0.430-0.884, p = 0.008), 52.5% in radiotherapy-alone subgroup and 71.9% in non-adjuvant treatment group (HR = 1.604, 95% CI = 0.575-4.471, p = 0.360), 72.9% in chemoradiotherapy subgroup and 79.5% in chemotherapy-alone subgroup (HR = 1.365, 95% CI = 0.859-2.172, p = 0.185), respectively. Further, PSM markedly improved balance of variables between radiotherapy subgroup and non-radiotherapy subgroup. After PSM, the role of the variables of radiotherapy and chemotherapy in contributing to improving CSS are consistent with that before PSM. Cox regression showed chemotherapy, tumor size, tumor invasiveness and Lauren classification were independent prognostic factors, but not including radiotherapy. CONCLUSIONS Chemoradiotherapy confers superior prognosis to MILN GC patients compared with surgery alone might only be attributed to chemotherapy rather than radiotherapy.
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Affiliation(s)
- Yunfei Zhi
- The First Clinical Medical School, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhousheng Lin
- The First Clinical Medical School, Southern Medical University, Guangzhou, Guangdong, China
| | - Jinyuan Ma
- The Second Clinical Medical School, Southern Medical University, Guangzhou, Guangdong, China
| | - Weiming Mou
- The First Clinical Medical School, Southern Medical University, Guangzhou, Guangdong, China
| | - Xinhua Chen
- The First Clinical Medical School, Southern Medical University, Guangzhou, Guangdong, China
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Wang S, Mou W, Xu Z, Gui J, Ma L. Autosomal recessive hyper-IgE syndrome in two brothers of a Chinese family with a novel mutation in DOCK8 gene. J Eur Acad Dermatol Venereol 2018; 32:e302-e304. [PMID: 29419892 DOI: 10.1111/jdv.14847] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- S Wang
- Department of Dermatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - W Mou
- Laboratory of Immunology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.,Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - Z Xu
- Department of Dermatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - J Gui
- Laboratory of Immunology, Beijing Pediatric Research Institute, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.,Key Laboratory of Major Diseases in Children, Ministry of Education, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
| | - L Ma
- Department of Dermatology, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China
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Sun Q, Jia X, Gao J, Mou W, Tong H, Wen X, Tian Y. Association of serum homocysteine levels with the severity and calcification of coronary atherosclerotic plaques detected by coronary CT angiography. INT ANGIOL 2014; 33:316-323. [PMID: 25056163] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
AIM In this study, we aim to evaluate the association of risk factors including homocysteine (Hcy) with the severity and burden of coronary atherosclerotic plaques detected by computed tomography angiography (CTA). METHODS Six hundred fifty-nine subjects who underwent CTA for the assessment of coronary artery disease (CAD) were studied. All the subjects enrolled had no clinical cardiovascular disease symptoms. Logistic regression showed apart from age, hypertension, smoking, triglyceride, low-density lipoprotein (LDL) cholesterol, and total bilirubin, Hcy was an independently risk factor of the severity of coronary disease. And Hcy was also found an independent predictor for the presence of calcified plaque. When the participants were divided into 4 groups according to serum Hcy quartiles (Q1-Q4 groups), both the percentage of patients with >50% stenosis and the percentage of patients with calcified plaque were higher in Q4 compared to other groups. The OR of Hcy (>15 µmol/L) for >50% stenosis was 2.212 (95% CI=1.119 to 4.375, P=0.022) and the OR for Hcy (>15 µmol/L) for calcification was 1.668 (95% CI=1.030 to 2.699, P=0.037) respectively. CONCLUSION Our study shows Hcy is independently associated with both the severity and calcified plaque detected by CTA. Hcy may provide additional information about CAD in the subjects without clinical symptoms.
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Affiliation(s)
- Q Sun
- Department of Clinical Biochemistry, Chinese PLA General Hospital, Beijing, China -
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Li X, Mou W, Carlson L. Describing locations from memory: Effects of spatial reference direction on reference object selection. J Vis 2010. [DOI: 10.1167/10.7.1239] [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: 11/24/2022] Open
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Mou W, Li X, McNamara T. Intrinsic orientation and learning viewpoint in shape recognition. J Vis 2010. [DOI: 10.1167/8.6.731] [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: 11/24/2022] Open
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Mou W, Hayward WG, Zhao M, Zhou G, Owen CB. Spatial updating during locomotion does not eliminate viewpoint-dependent visual object processing. J Vis 2010. [DOI: 10.1167/6.6.316] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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Mou W, Zhang K. A compatible chord code for inputting elements of Chinese characters. Appl Ergon 2001; 32:293-297. [PMID: 11394470 DOI: 10.1016/s0003-6870(00)00060-0] [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] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/23/2023]
Abstract
A compatible chord code for inputting elements of Chinese characters (ECC) to computer was proposed. It capitalized on the graphic compatibility between ECC and chord combination of keys (CCK) on a single-handed chord keyboard with five keys. Experimental results showed that the proposed compatible chord code was better than a code that randomly mapped ECC onto CCK with respect to learning time and response time. Explicit indication of the graphic compatibility between ECC and CCK did not enhance memorizing the compatible code.
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Affiliation(s)
- W Mou
- Institute of Psychology, Chinese Academy of Sciences, People's Republic of China.
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Slusser J, Gibson J, Bigelow D, Kolinski D, Mou W, Koenig G, Beaubien A. Comparison of column ozone retrievals by use of an UV multifilter rotating shadow-band radiometer with those from Brewer and Dobson spectrophotometers. Appl Opt 1999; 38:1543-1551. [PMID: 18305778 DOI: 10.1364/ao.38.001543] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
The U.S. Department of Agriculture UV-B Monitoring Program measures ultraviolet light at seven wavelengths from 300 to 368 nm with an ultraviolet multifilter rotating shadow-band radiometer (UV-MFRSR) at 25 sites across the United States, including Mauna Loa, Hawaii. Column ozone has been retrieved under all-sky conditions near Boulder, Colorado (40.177 degrees N, 105.276 degrees W), from global irradiances of the UV-MFRSR 332- and 305-nm channels (2 nm FWHM) using lookup tables generated from a multiple-scattering radiative transfer code suitable for solar zenith angles (SZA's) up to 90 degrees. The most significant sources of error for UV-MFRSR column ozone retrievals at SZA's less than 75 degrees are the spectral characterizations of the filters and the absolute calibration uncertainty, which together yield an estimated uncertainty in ozone retrievals of +/-4.0%. Using model sensitivity studies, we determined that the retrieved column ozone is relatively insensitive (<+/-2%) to typical variations in aerosol optical depth, cloud cover, surface pressure, stratospheric temperature, and surface albedo. For 5 months in 1996-1997 the mean ratio of column ozone retrieved by the UV-MFRSR divided by that retrieved by the collocated Brewer was 1.024 and for the UV-MFRSR divided by those from a nearby Dobson was 1.025. The accuracy of the retrieval becomes unreliable at large SZA's of more than 75 degrees as the detection limit of the 305-nm channel is reached and because of overall angular response errors. The UV-MFRSR advantages of relatively low cost, unattended operation, automated calibration stability checks using Langley plots, and minimal maintenance make it a unique instrument for column ozone measurement.
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Affiliation(s)
- J Slusser
- UV-B Radiation Monitoring Program, Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado 80523, USA.
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Yuan S, Yang W, Mou W, Zhang X, Li Z, Yu X, Gu J, Guo Y, Gan Z, Liu H, Guo J. A new isotope of protactinium:239Pa. ACTA ACUST UNITED AC 1995. [DOI: 10.1007/bf01289491] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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