Abstract：Objective To investigate the value of a radiomics prediction model based on dual-energy CT images in the differential
diagnosis of benign and malignant thyroid nodules. Methods The clinical and imaging data of 55 patients with thyroid nodules
confirmed by pathology in our hospital were retrospectively analyzed, including 28 benign nodules and 27 malignant nodules. All
patients underwent the dual-energy CT of thyroid routine scan and enhanced scan. The Mixed maps, VNC maps and iodine maps
of each phase were obtained by dual energy analysis, 3D region of interest (ROI) delineation and omics feature extraction were
performed on the images of each phase respectively. Unifactor analysis and least absolute shrinkage and selection operator (LASSO)
algorithm were used for feature screening. Multi-factor Logistic regression was used to construct a mixed-energy model and a dualenergy
model. Receiver operating characteristic (ROC) curve and the area under curve (AUC) were used to verify the model, and
the efficacy of imaging omics characteristics in predicting benign and malignant thyroid nodules was evaluated. Results After
feature screening, 8 radiomics features were obtained to establish the differential model of benign and malignant thyroid nodules.
The AUC of the mixed energy prediction model was 0.86 (95%CI: 0.75~0.96), the specificity and sensitivity were 72.4% and 92.3%,
respectively, and the ratio of diagnostic accuracy was 81.8%. The AUC of the dual-energy prediction model was 0.95 (95%CI: 0.89~1),
the specificity and sensitivity were 86.2% and 100%, respectively, and the ratio of diagnostic accuracy was 92.7%. Conclusion The
radiomics prediction model based on dual-energy CT has high diagnostic efficacy for benign and malignant thyroid nodules.
韦启君，林盛才，黄福灵，周春燚. 双能CT影像组学在甲状腺结节定性诊断中的价值研究[J]. 中国医疗设备, 2022, 37(12): 87-90.
WEI Qijun, LIN Shengcai, HUANG Fuling, ZHOU Chunyi. Value of Dual-Energy CT Radiomics in the Qualitative Diagnosis of Thyroid Nodules. China Medical Devices, 2022, 37(12): 87-90.
