Value of Whole-Thyroid CT-Based Radiomics in Predicting Benign and Malignant Thyroid Nodules

Frontiers in Oncology

Qing Yang¹  Han Xu²  Qingwei Liu²  Ximing Wang²  Chaoqun Guan²  Ru Tan²  Qi Zhang²  Aie Liu⁴ 

[1] Department of Mammary Nail Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China;Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China;Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China;Department of Research Center, Shanghai United Imaging Intelligence Inc., Shanghai, China;

关键词: thyroid disease;    tomography;    radiomics;    diagnosis;    differentiation;   

DOI  :  10.3389/fonc.2022.828259

来源: DOAJ

【 摘 要 】

The objective of this research is to explore the value of whole-thyroid CT-based radiomics in predicting benign (noncancerous) and malignant thyroid nodules. The imaging and clinical data of 161 patients with thyroid nodules that were confirmed by pathology were retrospectively analyzed. The entire thyroid regions of interest (ROIs) were manually sketched for all 161 cases. After extracting CT radiomic features, the patients were divided into a training group (128 cases) and a test group (33 cases) according to the 4:1 ratio with stratified random sampling (fivefold cross validation). All the data were normalized by the maximum absolute value and screened using selection operator regression analysis and K best. The data generation model was trained by logistic regression. The effectiveness of the model in differentiating between benign and malignant thyroid nodules was validated by a receiver operating characteristic (ROC) curve. After data grouping, eigenvalue screening, and data training, the logistic regression model with the maximum absolute value normalized was constructed. For the training group, the area under the ROC curve (AUC) was 94.4% (95% confidence interval: 0.941–0.977); the sensitivity and specificity were 89.7% and 86.7%, respectively; and the diagnostic accuracy was 87.6%. For the test group, the AUC was 94.2% (95% confidence interval: 0.881–0.999); the sensitivity and specificity were 89.4% and 86.8%, respectively; and the diagnostic accuracy was 87.6%. The CT radiomic model of the entire thyroid gland is highly efficient in differentiating between benign and malignant thyroid nodules.

【 授权许可】

Unknown