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  11. Preoperative Prediction Of Microsatellite Instability Status In Colorectal Cancer Based On A Multiphasic Enhanced Ct Radiomics Nomogram Model

Preoperative prediction of microsatellite instability status in colorectal cancer based on a multiphasic enhanced CT radiomics nomogram model

Xuelian Bian1, Qi Sun1, Mi Wang1

  • 1Department of Radiology, The Second Affiliated Hospital of Soochow University, San Xiang Road No. 1055, 215004, Suzhou, Jiangsu, China.

BMC Medical Imaging
|April 2, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

A new nomogram combining clinical data and CT radiomics accurately predicts microsatellite instability (MSI) status in colorectal cancer (CRC) patients before surgery. This tool aids in preoperative assessment for better treatment planning.

Area of Science:

  • Oncology
  • Radiology
  • Medical Imaging

Background:

  • Colorectal cancer (CRC) diagnosis and staging are critical for treatment.
  • Microsatellite instability (MSI) status is a key biomarker in CRC.
  • Accurate preoperative prediction of MSI status is challenging.

Purpose of the Study:

  • To evaluate a nomogram model for predicting MSI status in CRC patients.
  • To integrate clinical-CT features and multiphasic enhanced CT radiomics.
  • To assess the model's preoperative predictive value.

Main Methods:

  • 347 colorectal adenocarcinoma patients (276 MSS, 71 MSI) were analyzed.
  • Clinical-CT features and multiphasic CT radiomics were extracted.
  • A nomogram combining clinical factors and optimal radiomics was developed.
Keywords:
Colorectal cancerMicrosatellite instabilityMultiphasic enhanced CTRadiomics

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Main Results:

  • Platelet count, SII, tumor location, enhancement pattern, and ACR were independent predictors.
  • A three-phase CT radiomics combination model showed the best performance.
  • The nomogram achieved high AUCs (0.894 training, 0.839 testing) for MSI prediction.

Conclusions:

  • The developed nomogram serves as an effective auxiliary tool for preoperative MSI status prediction in CRC.
  • Combining clinical-CT features with multiphasic radiomics enhances predictive accuracy.
  • This approach supports personalized treatment strategies for CRC patients.