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  11. A Multicenter Study: Predicting Kras Mutation And Prognosis In Colorectal Cancer Through A Ct-based Radiomics Nomogram

A multicenter study: predicting KRAS mutation and prognosis in colorectal cancer through a CT-based radiomics nomogram

Manman Li1, Yiwen Yuan2, Hui Zhou3

  • 1Department of Radiology, Yancheng No 1 People's Hospital, The Fourth Affiliated Hospital of Nantong University, Yancheng, Jiangsu Province, 224006, China.

Abdominal Radiology (New York)
|February 23, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

This study developed a CT-based radiomics nomogram to predict KRAS mutations and patient prognosis in colorectal cancer (CRC). The nomogram accurately identified high-risk patients with KRAS mutations, who had poorer survival outcomes.

Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • KRAS mutations are crucial in colorectal cancer (CRC) development and treatment.
  • Accurate preoperative prediction of KRAS mutation status and patient prognosis is vital for personalized CRC management.

Purpose of the Study:

  • To develop and validate a computed tomography (CT)-based radiomics nomogram for predicting KRAS mutation status.
  • To stratify colorectal cancer patients into prognostic risk groups preoperatively.

Main Methods:

  • A retrospective analysis of 408 colorectal cancer patients.
  • Extraction and selection of radiomics features from primary tumors.
  • Construction of a radiomics nomogram integrating radiomics features and clinical parameters (age, tumor location).
  • Validation of the nomogram's diagnostic and prognostic performance using receiver operating characteristic curves and Kaplan-Meier analysis.
Keywords:
Colorectal cancerComputed tomographyKRAS mutationNomogram

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Main Results:

  • A radiomics model incorporating 19 features was developed.
  • The nomogram achieved high predictive accuracy (AUCs ranging from 0.811 to 0.834) across training and validation sets.
  • The nomogram effectively stratified patients into high-risk (KRAS mutation) and low-risk (KRAS wild-type) groups.
  • High-risk patients demonstrated significantly inferior overall survival (P < 0.001).

Conclusions:

  • The CT-based radiomics nomogram is a valuable tool for preoperative prediction of KRAS mutation in colorectal cancer.
  • This nomogram enables effective prognostic stratification of CRC patients, identifying those with a poorer outlook.
Radiomics