分子影像学杂志2025，Vol.48Issue(2)：197-204,8.DOI:10.12122/j.issn.1674-4500.2025.02.11
多参数MRI影像组学列线图模型可有效预测宫颈鳞癌淋巴结转移
Multi-parameter MRI nomogram model can effectively predict lymph node metastasis of cervical squamous cell carcinoma
孟影 1王书芹 1张志雅 1刘信信 1岳凤辉 1傅文悦 2朱广辉1
作者信息
- 1. 蚌埠医科大学第一附属医院放射科,安徽 蚌埠 233004
- 2. 凤阳县人民医院放射科,安徽 滁州 233100
- 折叠
摘要
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.关键词
宫颈鳞癌/MRI/列线图/淋巴结转移Key words
cervical squamous cell carcinoma/MRI/nomogram/lymph node metastasis引用本文复制引用
孟影,王书芹,张志雅,刘信信,岳凤辉,傅文悦,朱广辉..多参数MRI影像组学列线图模型可有效预测宫颈鳞癌淋巴结转移[J].分子影像学杂志,2025,48(2):197-204,8.
