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Lv X, Chen M, Kong C, Shu G, Meng M, Ye W, Cheng S, Zheng L, Fang S, Chen C, Wu F, Weng Q, Tu J, Zhao Z, Ji J. Construction of a novel radiomics nomogram for the prediction of aggressive intrasegmental recurrence of HCC after radiofrequency ablation. Eur J Radiol 2021; 144:109955. [PMID: 34600237 DOI: 10.1016/j.ejrad.2021.109955] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 08/18/2021] [Accepted: 09/15/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVES To construct a precise prediction model of preoperative magnetic resonance imaging (MRI)-based nomogram for aggressive intrasegmental recurrence (AIR) of hepatocellular carcinoma (HCC) patients treated with radiofrequency ablation (RFA). METHODS Among 891 patients with HCC treated by RFA, 22 patients with AIR and 36 patients without AIR (non-AIR) were finally enrolled in our study, and each patient was followed up for more than 6 months to determine the occurrence of AIR. The laboratory indicators and MRI features were compared and assessed. Preoperative contrast-enhanced T1-weighted images (CE-T1WI) were used for radiomics analysis. The selected clinical indicators and texture features were finally screened out to generate the novel prediction nomogram. RESULTS Tumor shape, ADC Value, DWI signal intensity and ΔSI were selected as the independent factors of AIR by univariate and multivariate logistic regression analysis. Meanwhile, two radiomics features were selected from 396 candidate features by LASSO (P < 0.05), which were further used to calculate the Rad-score. The selected clinical factors were further integrated with the Rad-score to construct the predictive model, and the AUCs were 0.941 (95% CI: 0.876-1.000) and 0.818 (95% CI: 0.576-1.000) in the training (15 AIR and 25 non-AIR) and validation cohorts (7 AIR and 11 non-AIR), respectively. The AIR predictive model was further converted into a novel radiomics nomogram, and decision curve analysis showed good agreement. CONCLUSIONS The predictive nomogram integrated with clinical factors and CE-T1WI -based radiomics signature could accurately predict the occurrence of AIR after RFA, which could greatly help individualized evaluation before treatment.
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Affiliation(s)
- Xiuling Lv
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Minjiang Chen
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Chunli Kong
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Gaofeng Shu
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Miaomiao Meng
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Weichuan Ye
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Shimiao Cheng
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China
| | - Liyun Zheng
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Shiji Fang
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Chunmiao Chen
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Fazong Wu
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Qiaoyou Weng
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Jianfei Tu
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Zhongwei Zhao
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China
| | - Jiansong Ji
- Key Laboratory of Imaging Diagnosis and Minimally Invasive Intervention Research, the Fifth Affiliated Hospital of Wenzhou Medical University/Lishui Hospital of Zhejiang University, Lishui 323000, China; Department of Radiology, Lishui Central Hospital of Zhejiang Province, Lishui 323000, China.
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Park J, Cha DI, Jeong Y, Park H, Lee J, Kang TW, Lim HK, Park I. Real-Time Internal Steam Pop Detection during Radiofrequency Ablation with a Radiofrequency Ablation Needle Integrated with a Temperature and Pressure Sensor: Preclinical and Clinical Pilot Tests. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2021; 8:e2100725. [PMID: 34351701 PMCID: PMC8498861 DOI: 10.1002/advs.202100725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/29/2021] [Indexed: 06/13/2023]
Abstract
A radiofrequency ablation (RFA) needle integrated with a temperature sensor (T-sensor) and pressure sensor (P-sensor) is designed and utilized for real-time internal steam pop monitoring during RFA. The characteristics of the sensor-integrated RFA needle (sRFA-needle) are investigated quantitatively using a pressure chamber system, and the feasibility and usability of the needle in preclinical and clinical trials is demonstrated. The sharp changes in the temperature and normalized pressure sensor signals induced by the abrupt release of hot and high-pressure steam can be clearly monitored during the steam pop phenomena. The basic mechanism of the preliminary steam pop is hypothesized and verified using in situ ultrasound imaging data and computational analysis data of the RFA procedure. Moreover, the usability of the system in clinical trials is investigated, and the steam pop phenomena during the RFA procedure are detected using T-sensor and P-sensor. The results confirm that the sensor integration on the medical needle can provide critical data for safer and more effective medical practices.
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Affiliation(s)
- Jaeho Park
- Department of Mechanical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141South Korea
- Present address:
Department of Chemical EngineeringStanford UniversityStanfordCA94305United States
| | - Dong Ik Cha
- Radiology and Center for Imaging ScienceSamsung Medical CenterSungkyunkwan University School of MedicineSeoul06351South Korea
| | - Yongrok Jeong
- Department of Mechanical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141South Korea
| | - Hayan Park
- Radiology and Center for Imaging ScienceSamsung Medical CenterSungkyunkwan University School of MedicineSeoul06351South Korea
| | - Jinwoo Lee
- RF Medical Co. Ltd.Seoul08511South Korea
| | - Tae Wook Kang
- Radiology and Center for Imaging ScienceSamsung Medical CenterSungkyunkwan University School of MedicineSeoul06351South Korea
| | - Hyo Keun Lim
- Radiology and Center for Imaging ScienceSamsung Medical CenterSungkyunkwan University School of MedicineSeoul06351South Korea
- Department of Health Sciences and TechnologySamsung Advanced Institute for Health Sciences & Technology (SAIHST)Sungkyunkwan University School of MedicineSeoul06355South Korea
| | - Inkyu Park
- Department of Mechanical EngineeringKorea Advanced Institute of Science and Technology (KAIST)Daejeon34141South Korea
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Park SH, Han K, Park SY. Mistakes to Avoid for Accurate and Transparent Reporting of Survival Analysis in Imaging Research. Korean J Radiol 2021; 22:1587-1593. [PMID: 34431251 PMCID: PMC8484160 DOI: 10.3348/kjr.2021.0579] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 07/15/2021] [Indexed: 02/07/2023] Open
Affiliation(s)
- Seong Ho Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea
| | - Seo Young Park
- Department of Statistics and Data Science, Korea National Open University, Seoul, Korea
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Marschner CA, Rübenthaler J, Froelich MF, Schwarze V, Clevert DA. Benefits of contrast-enhanced ultrasonography for interventional procedures. Ultrasonography 2020; 40:207-216. [PMID: 33530676 PMCID: PMC7994736 DOI: 10.14366/usg.20083] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Accepted: 11/19/2020] [Indexed: 12/14/2022] Open
Abstract
For evaluating unclear tumorous lesions, contrast-enhanced ultrasonography (CEUS) is an important imaging modality in addition to contrast-enhanced computed tomography and magnetic resonance imaging, and may provide valuable insights into the microvascularization of tumors in dynamic examinations. In interventional procedures, CEUS can make a valuable contribution in pre-, peri-, and post-interventional settings, reduce radiation exposure and, under certain circumstances, decrease the number of interventions needed for patients.
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Affiliation(s)
| | - Johannes Rübenthaler
- Department of Radiology, University Hospital Munich, Ludwig-Maximilians University, Munich, Germany
| | - Matthias Frank Froelich
- Institute of Clinical Radiology and Nuclear Medicine, University Medical Centre Mannheim, Mannheim, Germany
| | - Vincent Schwarze
- Department of Radiology, University Hospital Munich, Ludwig-Maximilians University, Munich, Germany
| | - Dirk-André Clevert
- Department of Radiology, University Hospital Munich, Ludwig-Maximilians University, Munich, Germany
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Chen D, Mosher W, Wiertzema J, Peng P, Min M, Cheng Y, An J, Ma Y, Fan X, Niemira BA, Baumler DJ, Chen C, Chen P, Ruan Chen R. Effects of intense pulsed light and gamma irradiation on Bacillus cereus spores in mesquite pod flour. Food Chem 2020; 344:128675. [PMID: 33277126 DOI: 10.1016/j.foodchem.2020.128675] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 11/13/2020] [Accepted: 11/15/2020] [Indexed: 01/16/2023]
Abstract
This study was conducted to evaluate the inactivation of Bacillus cereus spore in mesquite flour with intense pulsed light (IPL) and gamma radiation. The physical, chemical, and toxicity of treated mesquite flour were also investigated. The results showed that up to 3.51 log10CFU/g B. cereus spore inactivation was achieved with 8 kGy of gamma radiation, and up to 1.69 log10CFU/g reductions could be achieved after 28s of catalytic IPL exposure. Although chemometric analysis showed 9-hydroxy-10,12-octadecadienoic acid was slightly increased after a 28s-catalytic IPL treatment, the concentration is within the acceptable range. No significant increase in acetic or propionic acids (typical off-flavor volatile compounds) was observed after either treatment. For cytotoxicity, the Caco-2 cell viability analysis revealed that these two technologies did not induce significant cytotoxicity to the treated mesquite flour. Overall, these two technologies exhibit strong potential for the decontamination of B. cereus in mesquite flour.
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Affiliation(s)
- Dongjie Chen
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA; Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA
| | - Wes Mosher
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA
| | - Justin Wiertzema
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA
| | - Peng Peng
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA
| | - Min Min
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA
| | - Yanling Cheng
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA
| | - Jun An
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA
| | - Yiwei Ma
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA
| | - Xuetong Fan
- USDA ARS, Eastern Regional Research Center, Wyndmoor, PA, USA
| | | | - David J Baumler
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA
| | - Chi Chen
- Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA
| | - Paul Chen
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA
| | - Roger Ruan Chen
- Center for Biorefining and Department of Bioproducts and Biosystems Engineering, University of Minnesota, St. Paul, MN, USA; Department of Food Science and Nutrition, University of Minnesota, St. Paul, MN, USA.
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