微创医学2025，Vol.20Issue(2)：166-171,6.DOI:10.11864/j.issn.1673.2025.02.06
MaZda纹理分析预测甲状腺癌颈部淋巴结转移的应用效果
Application effect of MaZda texture analysis in predicting cervical lymph node metastasis of thyroid carcinoma
摘要
Abstract
Objective To investigate the clinical application value of MaZda texture analysis in predicting cervical lymph node metastasis of thyroid carcinoma.Methods A total of 63 patients with thyroid carcinoma diagnosed by pathological examination at the First Affiliated Hospital of Guangxi Medical University were enrolled as research subjects,among whom,46 cases had cervical lymph node metastasis and 17 cases had no cervical lymph node metastasis.The texture analysis technology of MaZda software was applied to objectively analyze the venous phase images of thyroid CT scans.To guarantee the accuracy of the analysis results,dimensionality reduction methods such as Fisher coefficient,classification error rate+average correlation coefficient(POE+ACC)algorithm,and mutual information(MI)were utilized to process the images.The B11 analysis software built into MaZda was utilized to distinguish image texture features.For each of the three dimensionality reduction methods,four types of analyses were performed:Raw Data Analysis(RDA),Principal Component Analysis(PCA),Linear Discriminant Analysis(LDA),and Nonlinear Discriminant Analysis(NDA).And the misdiagnosis rate of cervical lymph node metastasis of thyroid carcinoma was obtained,followed by ROC curve analysis and SPSS statistical analysis.Results The combination of POE+ACC+NDA had the lowest misdiagnosis rate for cervical lymph node metastasis in thyroid carcinoma,which was 5/63(7.94%).Ten optimal texture parameters were screened out by MaZda software,including WavEnLL_S-1,Perc.10%,Teta2,and S(0,4)SumAve,S(0,5)SumAve,S(3,-3)SumAve,S(4,4)SumAve,S(4,-4)SumAve,S(5,5)SumAve,S(5,-5)SumAve.The area under the curve(AUC)values for the texture parameters WavEnLL_S-1,Perc.10%,S(0,4)SumAve,S(0,5)SumAve,S(3,-3)SumAve,S(4,4)SumAve,S(4,-4)SumAve,S(5,5)SumAve,and S(5,-5)SumAve were 0.738,0.793,0.748,0.751,0.745,0.750,0.747,0.753,and 0.747,respectively,while the AUC for Teta2 was 0.421.Among the 10 optimal texture parameters,the AUC of 9 parameters(excluding Teta2)was exceeded 0.5,and all differences were statistically significant(all P<0.05).Conclusion MaZda texture analysis can be used to predict whether cervical lymph node metastasis occurs in thyroid carcinoma on CT scans,providing assistance for further clinical diagnosis and treatment.关键词
甲状腺癌/纹理分析/CT/MaZda软件Key words
Thyroid carcinoma/Texture analysis/CT/MaZda software引用本文复制引用
林盛才,郭榆榕,周春燚,黄福灵..MaZda纹理分析预测甲状腺癌颈部淋巴结转移的应用效果[J].微创医学,2025,20(2):166-171,6.基金项目
广西医疗卫生适宜技术开发与推广应用项目(编号:S2021091) （编号:S2021091）
