October - December 2022, Volume 18, Issue 4

Lu WJ, Qiu YR, Wu YW, Li J, Chen R, Chen SN, Lin YY, OuYang LY, Chen JY, Chen F, Qiu SD

Radiomics Based on Two-Dimensional and Three-Dimensional Ultrasound for Extrathyroidal Extension Feature Prediction in Papillary Thyroid Carcinoma

Acta Endo (Buc) 2022, 18 (4): 407-416
doi: 10.4183/aeb.2022.407

Aim. To evaluate the diagnostic performance of radiomics features of two-dimensional (2D) and threedimensional (3D) ultrasound (US) in predicting extrathyroidal extension (ETE) status in papillary thyroid carcinoma (PTC). Patients and Methods. 2D and 3D thyroid ultrasound images of 72 PTC patients confirmed by pathology were retrospectively analyzed. The patients were assigned to ETE and non-ETE. The regions of interest (ROIs) were obtained manually. From these images, a larger number of radiomic features were automatically extracted. Lastly, the diagnostic abilities of the radiomics models and a radiologist were evaluated using receiver operating characteristic (ROC) analysis. We extracted 1693 texture features firstly. Results. The area under the ROC curve (AUC) of the radiologist was 0.65. For 2D US, the mean AUC of the three classifiers separately were: 0.744 for logistic regression (LR), 0.694 for multilayer perceptron (MLP), 0.733 for support vector machines (SVM). For 3D US they were 0.876 for LR, 0.825 for MLP, 0.867 for SVM. The diagnostic efficiency of the radiomics was better than radiologist. The LR model had favorable discriminate performance with higher area under the curve. Conclusion. Radiomics based on US image had the potential to preoperatively predict ETE. Radiomics based on 3D US images presented more advantages over radiomics based on 2D US images and radiologist.

Keywords: two-dimensional ultrasound, threedimensional ultrasound, radiomics, papillary thyroid carcinoma, extrathyroidal extension

Correspondence: Shao-Dong Qiu, The Second Affiliated Hospital of Guangzhou Medical University, Department of Ultrasound, 250 Changgang East Road, Haizhu District, Guangzhou City, Guangdong Province, China. E-mail: shaodongqiu@126.com