Evaluation of Thyroid Nodules by a Scoring and Categorizing Method Based on Sonographic Features

Objectives To assess sonographic features of thyroid nodules associated with malignancy and to establish a scoring and categorizing method based on sonographic features. Methods A total of 2445 patients with 2445 thyroid nodules were included and divided into 2 groups: benign (1493 cases) and malign...

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Veröffentlicht in:Journal of ultrasound in medicine 2015-12, Vol.34 (12), p.2179-2185
Hauptverfasser: Xu, Shang-Yan, Zhan, Wei-Wei, Wang, Wen-Han
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Sprache:eng
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Zusammenfassung:Objectives To assess sonographic features of thyroid nodules associated with malignancy and to establish a scoring and categorizing method based on sonographic features. Methods A total of 2445 patients with 2445 thyroid nodules were included and divided into 2 groups: benign (1493 cases) and malignant (952 cases). First, 10 sonographic features, including shape, border, margin, internal content, echogenicity, microcalcifications, posterior echo, halo, vascularization distribution, and vascularization degree, were defined, and all nodules were retrospectively evaluated. Second, the features associated with malignancy were selected by statistical analysis and were assigned weightings according to their odds ratios. Third, a total score for each nodule was obtained after the assigned weightings of the suspicious features were summed. Fourth, the malignancy rate of each total score was calculated. Then a modified version of the Thyroid Imaging Reporting and Data System (TI‐RADS) was established with reference to the American College of Radiology's Breast Imaging Reporting and Data System. Results Seven independent features associated with malignancy were a taller‐than‐wide shape, an obscure border, an irregular margin, solid internal content, marked hypoechogenicity and hypoechogenicity, microcalcifications, and an internal vascularization distribution. The TI‐RADS included 5 categories with different malignancy rates: category 3 (
ISSN:0278-4297
1550-9613
DOI:10.7863/ultra.14.11041