Multi-parameter MRI nomogram model can effectively predict lymph node metastasis of cervical squamous cell carcinoma
MENG Ying
WANG Shuqin
ZHANG Zhiya
LIU Xinxin
YUE Fenghui
FU Wenyue
ZHU Guanghui
Abstract：Objective To develop and validate an MRI radiomics nomogram model for the accurate preoperative prediction of lymph node metastasis in patients with cervical squamous cell carcinoma.Methods The clinical,pathological and imaging data from patients diagnosed with cervical squamous cell carcinoma at the First Affiliated Hospital of Bengbu Medical College from December 2018 to November 2021 were retrospectively collected.All patients were randomly allocated into a training cohort(n=151)and a validation cohort(n=65)following a 7:3 ratio.Within the training cohort,sagittal T2WI,T1WI and transverse diffusion-weighted images were selected.Regions of interest were delineated at the margins of the largest lesions to extract imaging features.The LASSO algorithm was employed to construct the radiomics score.Multivariate logistic regression analysis identified FIGO stage,squamous cell carcinoma associated antigen levels,and lymph node short-axis diameter as independent risk factors.An MRI radiomics nomogram model was developed by integrating radiomics scores with clinical parameters,and this nomogram model was validated using an independent validation cohort.The area under the curve(AUC)was utilized to assess the predictive performance of the model.Calibration curves and decision curves were employed to evaluate the clinical utility of the nomogram model.Results The nomogram model incorporating clinical parameters and radiomics scores(AUC=0.912)demonstrated superior diagnostic efficacy compared to the clinical feature model(AUC=0.872)and the radiomics model alone(AUC=0.777).Conclusion The integration of MRI radiomics with clinical parameters into a nomogram model represents a simple,effective,and reliable approach for predicting lymph node metastasis in cervical squamous cell carcinoma.
Keywords：cervical squamous cell carcinomaMRInomogramlymph node metastasis
Publication Date：2025-02-27
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：8( 197-204 )