Diagnostic value of angioPLUS microvascular imaging in thyroid nodule diagnosis using quantitative and qualitative vascularity grading

Chambara, Nonhlanhla ORCID: https://orcid.org/0000-0002-3183-883X, Yuk Wah Liu, Shirley, Lo, Xina and Ying, Michael 2022. Diagnostic value of angioPLUS microvascular imaging in thyroid nodule diagnosis using quantitative and qualitative vascularity grading. Biomedicines 10 (7) , 1554. 10.3390/biomedicines10071554

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Abstract

This study investigated the diagnostic value of the Angio Planewave Ultrasensitive (AngioPLUS) Doppler ultrasound in improving the efficacy of grey scale ultrasound in thyroid nodule diagnosis. The EU TIRADS was used for the grey scale ultrasound assessment of 94 thyroid nodules. conventional Doppler and AngioPLUS Doppler ultrasound images were evaluated using qualitative vascularity grading, where predominant central vascularity indicated malignancy-suspicion, and quantitative regional vascularity assessment, where predominant peripheral vascularity using a ratio vascularity index (RVI) of >1 indicated benign disease. Diagnostic performance outcomes of sole and combination approaches were calculated based on final pathologic results. Using sole EU TIRADS and AngioPLUS + power Doppler imaging (APDI) based on qualitative vascularity and RVI, the results were a sensitivity of 83.3% vs. 83.3 vs. 66.7% and a specificity of 50% vs. 81.3% vs. 73.4, respectively. EU TIRADS combined with APDI significantly improved the specificity using both qualitative vascularity and RVI assessment approaches (84.4% and 81%, respectively, p < 0.05); and slightly reduced the sensitivity (76.7% and 58.1%). For cytologically-equivocal thyroid nodules, the combination approach using qualitative vascularity assessment outperformed the EU TIRADS (sensitivity: both were 88.9%; specificity: 77.4% vs. 38.7%, p < 0.05; and AUROC: 0.83 vs. 0.62, p < 0.05). APDI combined with EU TIRADS is diagnostically efficient in stratifying thyroid nodules, particularly cytologically-equivocal nodules.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Healthcare Sciences
Publisher:	MDPI
ISSN:	2227-9059
Date of Acceptance:	27 June 2022
Last Modified:	22 Mar 2024 10:30
URI:	https://orca.cardiff.ac.uk/id/eprint/167150

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