A novel computerised quantification of thyroid vascularity in the differentiation of malignant and benign thyroid nodules.

Autor: Toomatari SBM; Department of Surgery, Zanjan University of Medical Sciences, Zanjan, Iran., Mohammadi A; Department of Radiology, Urmia University of Medical Sciences, Urmia, Iran., Sepehrvand N; Department of Medicine, University of Alberta, Edmonton, Alberta, Canada., Toomatari SEM; Department of General Surgery, Tabriz University of Medical Sciences, Tabriz, Iran., Ghasemi-Rad M; Department of Radiology, Baylor College of Medicine, Houston, Texas, USA., Shamspour SZ; Department of Neurosurgery, Shiraz University of Medical Sciences, Shiraz, Iran., Rezayi S; Department of Surgery, Urmia University of Medical Sciences, Urmia, Iran., Toubaei M; Department of Surgery, Zanjan University of Medical Sciences, Zanjan, Iran., Sarabi ZK; Department of Anaesthesiology, Urmia University of Medical Sciences, Urmia, Iran.
Jazyk: angličtina
Zdroj: Polish journal of radiology [Pol J Radiol] 2019 Dec 06; Vol. 84, pp. e517-e521. Date of Electronic Publication: 2019 Dec 06 (Print Publication: 2019).
DOI: 10.5114/pjr.2019.91208
Abstrakt: Purpose: Only five percent of thyroid nodules are malignant. It is important to find reliable and at the same time non-invasive methods to identify high-risk nodules. The aim of this study was to determine the diagnostic validity of a morphologic feature-oriented approach of ultrasound study for the identification of malignant thyroid nodules.
Material and Methods: Seventy-one thyroid nodules in 71 consecutive patients were evaluated with both ultrasonography (US) and US-assisted fine needle aspiration biopsy (FNAB). Thyroid grey-scale and power Doppler US were performed, and a Windows-based software was designed to process power Doppler US (PDUS) images that were recorded directly by the US device. We provided a histogram graph of coloured pixels and calculated the Malignancy Index to identify the probability of malignancy for each thyroid nodule.
Results: Thirty-six nodules (50.7%) were determined to be malignant in FNAB. Area under the receiver operating curve was 0.91 (95% CI: 0.85-0.98) for PDUS-based malignancy index in differentiating malignant thyroid nodules from benign ones. The best cut-off point for malignancy index was determined to be 0.092, with a sensitivity of 86.1% and specificity of 80% in identifying malignant nodules.
Conclusions: This PDUS-driven malignancy index using a contour-finding algorithm approach could accurately and reliably differentiate malignant and benign thyroid nodules. As a pre-FNAB assessment, the malignancy index may be able to reduce the number of patients with nodular thyroid disease undergoing this invasive procedure.
Competing Interests: The authors declare no conflicts of interest.
(Copyright © Polish Medical Society of Radiology 2019.)
Databáze: MEDLINE
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