Noninvasive Prediction of Ki-67 Expression in Hepatocellular Carcinoma Using Machine Learning-Based Ultrasomics: A Multicenter Study.

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作者： Linlin,Zhang ^[1] ; Shaobo,Duan ^[2] ; Qinghua,Qi ^[2] ; Qian,Li ^[3] ; Shanshan,Ren ^[4] ; Shunhua,Liu ^[5] ; Bing,Mao ^[1] ; Ye,Zhang ^[2] ; Simeng,Wang ^[2] ; Long,Yang ^[2] ; Ruiqing,Liu ^[2] ; Luwen,Liu ^[3] ; Yaqiong,Li ^[1] ; Na,Li ^[2] ; Lianzhong,Zhang ^[1]

作者单位： Department of Ultrasound, Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, Henan, China. ^[1] Henan Engineering Technology Research Center of Ultrasonic Molecular Imaging and Nanotechnology, Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China. ^[2] Department of Health Management, Henan University People's Hospital, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou, China. ^[3] Department of Ultrasound, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. ^[4] Department of Ultrasound, Henan Provincial Cancer Hospital, Zhengzhou, China. ^[5]

关键词 Ki-67 hepatocellular carcinoma machine learning radiomics ultrasonography

主题词人类(Humans);癌, 肝细胞(Carcinoma, Hepatocellular);Ki-67抗原(Ki-67 Antigen);回顾性研究(Retrospective Studies);肝肿瘤(Liver Neoplasms)

DOI 10.1002/jum.16126

PMID 36412932

发布时间 2023-04-17

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