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Shear Wave Elastography Combined with Thyroid Imaging Report and Data System for Risk Stratification of Thyroid Nodule Malignant Tumor

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Benign and malignant thyroid cancer diagnosis is crucial. Our study intends to evaluate the role of shear wave elastography (SWE) and thyroid imaging report and data system (TI-RADS) in diagnosing the benign and malignant thyroid nodules. 100 thyroid nodules patients were recruited and evaluated by SWE and TI-RADS before fine needle biopsy and/or surgery. The maximum elastic index (Emax), mean elasticity index of thyroid nodules (Emean), minimum elastic index (Emin) and elastic ratio (ER) was measured and compared between different imaging. Ultrasound diagnosis showed solid nodules with significant hypoechoic, unclear boundary, and microcalcification. TI-RADS value was measured based on suspected ultrasound features. Combination of SWE and TI-RADS was performed. Among the 100 nodules, 38 were benign (38.0%), 62 were malignant (62.0%), and malignant nodules had significantly elevated SWE and TI-RADS compared with benign nodules (P < 0.001). The optimal SWE threshold for Emax was 51.95 kPa, with a sensitivity of 81.44% and specificity of 83.19%. There were two methods for combining SWE and TI-RADS. One was sequential detection, with a specificity of 95.80%, positive similarity ratio of 18.16 and PPV of 96.73%; the other was parallel detection method with a sensitivity of 94.85%, negative similarity ratio of 0.07 and PPV of 90.00%. Our results suggest that combination of SWE and TI-RADS might be applied to identify benign and malignant thyroid cancers.

Keywords: Shear Wave Elastography; Thyroid Imaging Report and Data System; Thyroid Nodules

Document Type: Research Article

Affiliations: 1: Department of Nursing, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250033, China 2: Department of Radiology, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, 250033, China

Publication date: 01 March 2021

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  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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