中国临床医学影像杂志2024，Vol.35Issue(6)：428-433,6.DOI:10.12117/jccmi.2024.06.010
T2 mapping成像纹理分析鉴别宫颈癌病理分型和鳞癌病理分级
Texture analysis of pathological classification of cervical cancer and pathological grading of squamous cell carcinoma by T2 mapping imaging
摘要
Abstract
Objective:To explore the value of texture analysis of T2 mapping imaging in differentiating pathological classi-fication of cervical cancer and pathological grading of squamous cell carcinoma.Methods:Fifty-four cases of cervical squa-mous cell carcinoma(high grade 37 cases,medium-low grade 17 cases)and 19 cases of adenocarcinoma were analyzed retro-spectively.All patients were scanned by 3.0T MRI including T2 mapping sequence preoperatively.Two observers independently extracted the whole tumor texture parameters of T2 mapping imaging.The differences in related parameters were assessed be-tween cervical squamous cell carcinoma and adenocarcinoma and between high grade and middle-low grade squamous cell carcinoma.Logistic regression was employed to establish the combined parameters.The diagnostic performance of a single tex-ture parameter and the combined parameters in distinguishing pathological classification and pathological grading was evaluated by receiver operating characteristic(ROC)curve.DeLong test was used to compare the difference of area under the curve(AUC)between a single texture parameter and the combined parameter.Results:Eighty-eight texture parameters were extracted from each patient's tumor.Three and eight parameters were selected to distinguish the pathological classification and pathological grading of cervical squamous cell carcinoma respectively(all P<0.05).The AUC of the combined parameters for distinguishing pathological classification and grading were 0.963 and 0.966,respectively.The combined parameters had significantly higher performance than a single parameter.Conclusion:Texture analysis based on T2 mapping imaging is valuable in the differenti-ation of pathological classification of cervical cancer and pathological grading of squamous cell carcinoma.关键词
宫颈肿瘤/磁共振成像Key words
Uterine Cervical Neoplasms/Magnetic Resonance Imaging分类
医药卫生引用本文复制引用
宋庆玲,刘爱连,田士峰,孟醒,马长军,陈丽华,王楠,宋清伟..T2 mapping成像纹理分析鉴别宫颈癌病理分型和鳞癌病理分级[J].中国临床医学影像杂志,2024,35(6):428-433,6.基金项目
大连市横向课题(2021HZ015). （2021HZ015）
