Prediction of femoral head collapse in osteonecrosis using deep learning segmentation and radiomics texture analysis of MRI.

Journal: BMC medical informatics and decision making
PMID: 39482688

Abstract

BACKGROUND: Femoral head collapse is a critical pathological change and is regarded as turning point in disease progression in osteonecrosis of the femoral head (ONFH). In this study, we aim to build an automatic femoral head collapse prediction pipeline for ONFH based on magnetic resonance imaging (MRI) radiomics.

Authors

  • Shihua Gao
    Department of Orthopaedics, Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Traditional Chinese Medicine, Zhongshan, Guangdong, China.
  • Haoran Zhu
    Center for Integrated Research Computing, University of Rochester, Rochester, New York 14627, United States.
  • Moshan Wen
    Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
  • Wei He
    Department of Orthopaedics Surgery, First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, China.
  • Yufeng Wu
    Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.
  • Ziqi Li
    Traumatology and Orthopaedics Institute of Guangzhou, University of Chinese Medicine, Guangzhou, Guangdong, China. lzq391@126.com.
  • Jiewei Peng
    Department of Orthopaedics, Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Traditional Chinese Medicine, Zhongshan, Guangdong, China. zszyypjw@126.com.

Keywords

External Resources

Popular Topics
Recent Journals