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

Marcin Barczyński | Zendy; Małgorzata Stopa-Barczyńska | Zendy; Beata Wojtczak | Zendy; Agnieszka Czarniecka | Zendy; Aleksander Konturek | Zendy

Open Access

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

Author(s) -

Marcin Barczyński,

Małgorzata Stopa-Barczyńska,

Beata Wojtczak,

Agnieszka Czarniecka,

Aleksander Konturek

Publication year - 2020

Publication title -

gland surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.643

H-Index - 22

eISSN - 2227-8575

pISSN - 2227-684X

DOI - 10.21037/gs.2019.12.23

Subject(s) - medicine , cad , malignancy , thyroid , radiology , medical physics , ultrasound , thyroid nodules , pathology , engineering drawing , engineering

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.

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