Prediction of mucinous adenocarcinoma in colorectal cancer with mucinous components detected in preoperative biopsy diagnosis.

Journal: Abdominal radiology (New York)
Published Date:

Abstract

OBJECTIVES: Endoscopic biopsy diagnosis for the preoperative assessment of mucinous components in patients with colorectal cancer is limited. This study investigated a radiomics model and established an explainable prediction model by using machine learning to differentiate between adenocarcinoma with mucinous components and mucinous adenocarcinoma.

Authors

  • Tong Ling
    Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Guangxi, China.
  • Zhichao Zuo
    School of Mathematics and Computational Science, Xiangtan University, Xiangtan, Hunan, China.
  • Mingwei Huang
    Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Guangxi, China.
  • Liucheng Wu
    Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Guangxi, China.
  • Jie Ma
    Respiratory Department, Beijing Hospital of Integrated Traditional Chinese and Western Medicine, Beijing, China.
  • Xiaoliang Huang
    Division of Colorectal & Anal Surgery, Department of Gastrointestinal Surgery, Guangxi Medical University Cancer Hospital, Nanning, China.
  • Weizhong Tang