MRI-based habitat, intra-, and peritumoral machine learning model for perineural invasion prediction in rectal cancer.

Journal: Abdominal radiology (New York)
Published Date: Jul 3, 2025

Abstract

OBJECTIVES: This study aimed to analyze preoperative multimodal magnetic resonance images of patients with rectal cancer using habitat-based, intratumoral, peritumoral, and combined radiomics models for non-invasive prediction of perineural invasion (PNI) status.

Authors

  • Junyuan Zhong
    Medical Imaging Department of Ganzhou People's Hospital, Ganzhou 341000, Jiangxi, China.
  • Teng Huang
  • Rongjian Jiang
    Department of Medical Imaging, The Fourth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 511300, China.
  • Qiangqiang Zhou
    Department of Medical Imaging, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, 341000, China.
  • Gongfa Wu
    Department of Pathology, The Fourth Affiliated Hospital of Guangzhou Medical University, Guangzhou, 511300, China.
  • Yuping Zeng
    Department of Medical Imaging, Ganzhou People's Hospital, The Affiliated Ganzhou Hospital of Nanchang University, Ganzhou, 341000, China. zeng_yu_ping@126.com.

Keywords

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