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J-GLOBAL ID：202002266950344326   Reference number：20A0498427

Latent Risk Intrahepatic Cholangiocarcinoma Susceptible to Adjuvant Treatment After Resection: A Clinical Deep Learning Approach

切除後のアジュバント治療に感受性の潜在的リスク肝内胆管癌:臨床的深層学習アプローチ【JST・京大機械翻訳】

Author (16)： Jeong Seogsong (Department of Liver Surgery, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China) ,  Jeong Seogsong (International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, China) ,  Ge Yang (School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China) ,  Chen Jing (International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, China) ,  Gao Qiang (Department of Liver Surgery and Transplantation, Liver Cancer Institute, Zhongshan Hospital, and Key Laboratory of Carcinogenesis and Cancer Invasion (Ministry of Education), Fudan University, Shanghai, China) ,  Luo Guijuan (International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, China) ,  Zheng Bo (International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, China) ,  Sha Meng (Department of Liver Surgery, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China) ,  Shen Feng (Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China) ,  Cheng Qingbao (Biliary Tract Department I, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China) ,  Sui Chengjun (Department of Special Medical Care and Liver Transplantation, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University, Shanghai, China) ,  Liu Jingfeng (The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China) ,  Wang Hongyang (International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, China) ,  Xia Qiang (Department of Liver Surgery, School of Medicine, Renji Hospital, Shanghai Jiao Tong University, Shanghai, China) ,  Chen Lei (International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Institute, Second Military Medical University, Shanghai, China) ,  Chen Lei (Department of Oncology, Shanghai Cancer Center and Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China)
Material： Frontiers in Oncology (Web)
Volume： 10  Page： 143  Publication year： 2020 
JST Material Number： U7089A  ISSN： 2234-943X  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Background: Artificial Intelli...

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Thesaurus term： sensitivity ,  adaptability ,  artificial intelligence ,  stratification ,  effectiveness ,  pathogenesis ,  prognosis ,  algorithm ,  *adjuvant ,  area under the blood concentration time curve ,  prediction model
Semi thesaurus term： 無病生存 ,  全生存率 ,  病期分類 ,  *深層学習 , 【Automatic Indexing@JST】

Author keywords (5)： biliary malignancy ,  artificial intelligence ,  prognostic factor ,  prediction model ,  primary liver cancer

JST classification (3)： Gene expression  (EC02040Q) ,  Chemistry,biochemistry and pathology of tumors(=neoplasms)  (GE02030N) ,  Tumors(=neoplasms)of tooth and mouth(=oral cavity)  (GT04000N)

Reference (29)：

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• Ching T, Himmelstein DS, Beaulieu-Jones BK, Kalinin AA, Do BT, Way GP, et al. Opportunities and obstacles for deep learning in biology and medicine. J R Soc Interface. (2018) 15:20170387. doi: 10.1098/rsif.2017.0387
• Kermany DS, Goldbaum M, Cai W, Valentim CCS, Liang H, Baxter SL, et al. Identifying medical diagnoses and treatable diseases by image-based deep learning. Cell. (2018) 172:1122-31. doi: 10.1016/j.cell.2018.02.010
• Jusakul A, Cutcutache I, Yong CH, Lim JQ, Huang MN, Padmanabhan N, et al. Whole-genome and epigenomic landscapes of etiologically distinct subtypes of cholangiocarcinoma. Cancer Discov. (2017) 7:1116-35. doi: 10.1158/2159-8290.CD-17-0368

Terms in the title (7)： アジュバント ,  治療 ,  感受性 ,  リスク ,  肝内胆管癌 ,  臨床 ,  深層学習