MR lymphangiography radiomics for evaluating central conducting lymphatic anomaly
10.13929/j.issn.1003-3289.2024.11.010
- VernacularTitle:MR淋巴管成像影像组学评估中央传导淋巴管畸形
- Author:
Yimeng ZHANG
1
;
Jixue FENG
;
Xiaojie ZHANG
;
Haoyue LIU
;
Mengke LIU
;
Xingpeng LI
;
Mingxia ZHANG
;
Rengui WANG
Author Information
1. 首都医科大学附属北京世纪坛医院放射科,北京 100038
- Keywords:
thoracic duct;
abnormalities;
magnetic resonance imaging;
radiomics
- From:
Chinese Journal of Medical Imaging Technology
2024;40(11):1677-1681
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of MR lymphangiography(MRL)radiomics for evaluating central conducting lymphatic anomaly(CCLA).Methods Sixty-one patients with complex lymphatic anomaly,including 41 CCLA(group A),20 non-CCLA(generalized lymphatic anomaly and Gorham-Stout disease)and 20 subjects with normal thoracic duct(group B,n=38)were retrospectively enrolled.Cervical and thoracic(combined with abdominal if necessary)MRL was acquired using three-dimensional heavily T2W fast spin echo sequence.ROI was delineated along overall thoracic duct,and radiomics features were extracted.Data sets of group A and B were divided into K subsets using 5-fold cross-validation.The union of(K-1)subset was always used as training set,while the other subsets were used as validation set.Radiomics model was constructed based on support vector machine(SVM)algorithm.Receiver operating characteristic curve was drawn,the area under the curve(AUC)was calculated to evaluate the efficacy of SVM model for assessing CCLA.Results The proportions of bifurcation,cystoid change and extension of main thoracic duct,and extension of terminal thoracic duct in group A were all higher,while of normal main and terminal thoracic duct in group A were both lower than those in group B(all P＜0.05).No significant difference of proportions of multiple thoracic ducts,dextral thoracic duct,part of thoracic duct invisible,multiple terminal thoracic ducts,cystoid change of terminal thoracic duct nor terminal thoracic duct pampiniform was found between groups(all P＞0.05).The sensitivity,specificity,accuracy,positive predictive,negative predictive and AUC of SVM model for evaluating CCLA in training set was 78.95％,97.56％,88.61％,96.77％,83.33％and 0.920,respectively,which in validation set was 78.95％,83.57％,82.28％,83.33％,81.40％and 0.833,respectively.Conclusion MRL radiomics could be used to effectively evaluate CCLA.
