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In recent years well-recognized scientific societies introduced guidelines for ultrasound (US) malignancy risk stratification of thyroid nodules. These guidelines categorize the risk of malignancy in relation to a combination of several US features. Based on these US image lexicons an US-based computer-aided diagnosis (CAD) systems were developed. Nevertheless, their clinical utility has not been evaluated in any study of surgeon-performed office US of the thyroid. Hence, the aim of this pilot study was to validate s-Detect TM mode in semi-automated US classification of thyroid lesions during surgeon-performed office US.

Clinical validation of S-DetectTM mode in semi-automated ultrasound classification of thyroid lesions in surgical office