赣南医科大学学报2025，Vol.45Issue(8)：770-776,7.DOI:10.3969/j.issn.1001-5779.2025.08.008
基于术前病理和增强CT影像的口腔癌淋巴结转移诊断
Preoperative pathological and CT radiomics features for diagnosing lymph node metastasis in oral cancer
摘要
Abstract
Objective:To explore the clinical value of combining preoperative clinical pathological data and CT radiomic features for diagnosing lymph node metastasis(LNM)in patients with oral cancer.Methods:A retrospective analysis was conducted on the clinical,pathological,and imaging data of 295 patients diagnosed with oral cancer from January 2016 to March 2023.After excluding patients with incomplete data and unclear imaging,218 cases were included in the study.They were randomly divided into training group and validation group(training group:152 cases,validation group:66 cases).Two experienced radiologists used ITK-SNAP software to delineate the regions of interest(ROI)for tumors and lymph node metastasis.Subsequently,two independent branches were constructed:one branch used a multilayer perceptron(MLP)for feature extraction and dimensionality reduction of the CT data,while the other branch extracted clinical pathological features.In the third layer of the MLP neural network,these two types of features were integrated to ultimately construct a diagnostic model for lymph node metastasis in oral cancer,based on clinical pathological features and radiomic features.Results:The model combining clinical pathological features and radiomic features performed well in diagnosing lymph node metastasis in oral cancer,with area under the curve(AUC)of 0.997 and 0.961 for the training and validation sets,respectively.The calibration curve and decision curve of the clinical pathological-radiomic model outperformed those of the radiomic model and the clinical pathological model alone.Conclusion:The model constructed by combining preoperative CT and clinical pathological features demonstrated high efficiency in predicting lymph node metastasis in oral cancer.It has the potential for widespread application in clinical practice,promoting the precision and personalization of lymph node metastasis diagnosis.关键词
口腔癌/淋巴结转移/影像组学/预测Key words
Oral cancer/Lymph node metastasis/Radiomics/Prediction分类
医药卫生引用本文复制引用
江慧敏,方立铭,夏安琦,武静,仇书涵..基于术前病理和增强CT影像的口腔癌淋巴结转移诊断[J].赣南医科大学学报,2025,45(8):770-776,7.基金项目
国家自然科学基金项目(11801199) （11801199）
安徽省自然科学基金项目(1908085QA30) （1908085QA30）
皖南医学院中青年重点科研项目(WK2023ZZD04) （WK2023ZZD04）
