Non-invasive multi-phase CT artificial intelligence for predicting pre-treatment enlarged lymph node status in colorectal cancer: a prospective validation study.

Journal: European radiology
Published Date: Jun 12, 2025

Abstract

OBJECTIVES: Benign lymph node enlargement can mislead surgeons into overstaging colorectal cancer (CRC), causing unnecessarily extended lymphadenectomy. This study aimed to develop and validate a machine learning (ML) classifier utilizing multi-phase CT (MPCT) radiomics for accurate evaluation of the pre-treatment status of enlarged tumor-draining lymph nodes (TDLNs; defined as long-axis diameter ≥ 10 mm).

Authors

  • Kui Sun
    Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jing Wu Road, No. 324, Jinan, 250021, China.
  • Junwei Wang
    Department of Colorectal Cancer Surgery, Shandong Cancer Hospital and Institute, 440 Jiyan Road, Jinan, 250117, China. wangjunwei676@126.com.
  • Bingyan Wang
    Department of General Surgery, Peking University Third Hospital, Beijing, China.
  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Siyi Lu
    Department of General Surgery, Peking University Third Hospital, Beijing, China.
  • Zhihan Jiang
    Department of General Surgery, Peking University Third Hospital, Beijing, China.
  • Wei Fu
    Department of Information Security, Naval University of Engineering, Wuhan, China.
  • Xin Zhou
    School of Mechatronic Engineering, China University of Mining & Technology, Xuzhou 221116, China.

Keywords

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