Decision Fusion Model for Predicting Microvascular Invasion in Hepatocellular Carcinoma Based on Multi-MR Habitat Imaging and Machine-Learning Classifiers.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: Accurate prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is crucial for guiding treatment. This study evaluates and compares the performance of clinicoradiologic, traditional radiomics, deep-learning radiomics, feature fusion, and decision fusion models based on multi-region MR habitat imaging using six machine-learning classifiers.

Authors

  • Zhenhuan Huang
    Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China (Z.H., W.H., L.J., Y.Z., Y.P., C.Y., R.Y., Y.L.); Department of Radiology, Longyan First Affiliated Hospital of Fujian Medical University, Longyan, FujianĀ 364000, China (Z.H.).
  • Wanrong Huang
    College of Computer Science and Technology, National University of Defense Technology, Changsha, 410000, Hunan, China.
  • Lu Jiang
    Institute of Materials Research and Engineering (IMRE), A*STAR, 2 Fusionopolis Way, #08-03 Innovis, Singapore 138634.
  • Yao Zheng
    School of Pharmaceutical Science, South-Central University for Nationalities, Wuhan, Hubei, China.
  • Yifan Pan
    Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China (Z.H., W.H., L.J., Y.Z., Y.P., C.Y., R.Y., Y.L.).
  • Chuan Yan
    School of Automation, Guangxi University of Science and Technology, Liuzhou 545006, China.
  • Rongping Ye
    Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China (Z.H., W.H., L.J., Y.Z., Y.P., C.Y., R.Y., Y.L.).
  • Shuping Weng
    Department of Radiology, Fujian Maternity and Child Health Hospital, Fujian Medical University, Fuzhou, Fujian 350001, China (S.W.).
  • Yueming Li
    Department of Radiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian 350005, China (Z.H., W.H., L.J., Y.Z., Y.P., C.Y., R.Y., Y.L.); Department of Radiology, National Regional Medical Center, Binhai Campus of The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian 350212, China (Y.L.); Key Laboratory of Radiation Biology of Fujian higher education institutions, The First Affiliated Hospital, Fujian Medical University, Fuzhou, Fujian 350005, China (Y.L.). Electronic address: fjmulym@163.com.