MRI Radiomics and Automated Habitat Analysis Enhance Machine Learning Prediction of Bone Metastasis and High-Grade Gleason Scores in Prostate Cancer.

Journal: Academic radiology
Published Date:

Abstract

RATIONALE AND OBJECTIVES: To explore the value of machine learning models based on MRI radiomics and automated habitat analysis in predicting bone metastasis and high-grade pathological Gleason scores in prostate cancer.

Authors

  • Yuling Yang
    Department of Medical Imaging, Zhongshan Hospital of Traditional Chinese Medicine, Guangdong 528400, China (Y.Y., R.L., R.Y., Q.C., Y.G., S.Y.).
  • Bowen Zheng
    Department of Mechanical Engineering, University of California, Berkeley, CA, 94720, USA.
  • Bin Zou
    Department of Applied Linguistics, Xi'an Jiaotong-Liverpool University, Suzhou, China.
  • Renyi Liu
    Department of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong Province, China.
  • Rongqiang Yang
    Department of Medical Imaging, Zhongshan Hospital of Traditional Chinese Medicine, Guangdong 528400, China (Y.Y., R.L., R.Y., Q.C., Y.G., S.Y.).
  • Qifeng Chen
    Department of Medical Imaging, Zhongshan Hospital of Traditional Chinese Medicine, Guangdong 528400, China (Y.Y., R.L., R.Y., Q.C., Y.G., S.Y.).
  • Yongfei Guo
    Department of Medical Imaging, Zhongshan Hospital of Traditional Chinese Medicine, Guangdong 528400, China (Y.Y., R.L., R.Y., Q.C., Y.G., S.Y.).
  • Shuiquan Yu
    Department of Medical Imaging, Zhongshan Hospital of Traditional Chinese Medicine, Guangdong 528400, China (Y.Y., R.L., R.Y., Q.C., Y.G., S.Y.).
  • Biwei Chen
    Reception room of the Medical Department & The Doctor-Patient Relations Department, Zhongshan Hospital of Traditional Chinese Medicine, Guangdong 528400, China (B.C.). Electronic address: sky_kiki@126.com.

Keywords

No keywords available for this article.