Preoperative Prediction of BRAF Mutation and Prognosis in Colorectal Cancer Using CT Radiomics Nomogram
10.3969/j.issn.1005-5185.2024.08.012
- VernacularTitle:CT影像组学列线图术前预测结直肠癌BRAF突变和预后
- Author:
Manman LI
1
;
Guodong XU
;
Gaofeng XU
;
Hui ZHOU
;
Feng FENG
Author Information
1. 盐城市第一人民医院影像科,江苏 盐城 224000;南通大学附属肿瘤医院影像科,江苏 南通 226001
- Keywords:
Colorectal neoplasms;
Tomography,X-ray computed;
Radiomics;
BRAF mutation;
Prognosis
- From:
Chinese Journal of Medical Imaging
2024;32(8):821-827
- CountryChina
- Language:Chinese
-
Abstract:
Purpose To predict preoperative BRAF mutation and perform prognostic stratification in colorectal cancer patients using CT radiomics nomogram.Materials and Methods A retrospective analysis was conducted on 333 pathologically confirmed colorectal cancer in the First People's Hosptial of Yancheng from January 2017 to June 2020,comprising a training set(234 cases)and a validation set(99 cases).The region of interest for the entire tumor was segmented,and radiomics features were extracted.The maximum-relevance minimum-redundancy algorithm and the least absolute shrinkage and selection operator algorithm were used to screen for radiomics features closely associated with BRAF mutation.A nomogram was constructed by combining these radiomics features with clinically significant parameters.The diagnostic performance was quantified using the area under the receiver operating characteristic curve.Kaplan-Meier analysis was utilized to depict survival curves for the high-risk and low-risk groups.Results Seven radiomics features were retained to construct the radiomics model.The radiomics nomogram,integrating these radiomics features with three clinically significant parameters(age,tumor location,carcinoembryonic antigen),achieved area under the curve values of 0.850 in the training set and 0.829 in the validation set.Furthermore,there was a significant disparity in overall survival between the high-risk group(BRAF mutation)and low-risk group(wild-type BRAF)predicted by the nomogram(P<0.001),with the high-risk group exhibiting a markedly shorter overall survival compared to the low-risk group.Conclusion CT radiomics nomogram demonstrates the capability to accurately predict preoperative BRAF mutation in colorectal cancer patients and effectively stratify their prognosis.
