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      Predicting the stages of liver fibrosis with multiphase CT radiomics based on volumetric features.

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          Abstract

          To develop and externally validate a multiphase computed tomography (CT)-based machine learning (ML) model for staging liver fibrosis (LF) by using whole liver slices.

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          Author and article information

          Journal
          Abdom Radiol (NY)
          Abdominal radiology (New York)
          Springer Science and Business Media LLC
          2366-0058
          August 2021
          : 46
          : 8
          Affiliations
          [1 ] Department of Radiology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of SUN YAT-SEN University, Jiangmen Clinical Medical School of Guangdong Medical University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China.
          [2 ] Guangzhou Key Laboratory of Molecular and Functional Imaging for Clinical Translation, Guangzhou, People's Republic of China.
          [3 ] Department of Hepatobiliary Surgery, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of SUN YAT-SEN University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China.
          [4 ] Department of Pathology, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of SUN YAT-SEN University, 23 Beijie Haibang Street, Jiangmen, 529030, People's Republic of China.
          [5 ] Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, 518035, People's Republic of China.
          [6 ] Department of Radiology, The First Affiliated Hospital of Shenzhen University, Health Science Center, Shenzhen Second People's Hospital, 3002 SunGangXi Road, Shenzhen, 518035, People's Republic of China. foxetfoxet@gmail.com.
          Article
          10.1007/s00261-021-03051-6
          10.1007/s00261-021-03051-6
          33751193
          c97ac108-aaf7-4c23-a665-e07409e5fbc2
          History

          Artificial intelligence,Machine learning,Computed tomography,Liver fibrosis

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