A novel computerised quantification of thyroid vascularity in the differentiation of malignant and benign thyroid nodules
| Autor: | Nariman Sepehrvand, Toomatari Sem, Saber Zafar Shamspour, Toomatari Sbm, Afshin Mohammadi, Sarabi Zk, Rezayi S, Mohammad Ghasemi-Rad, Toubaei M |
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| Rok vydání: | 2019 |
| Předmět: |
Thyroid nodules
medicine.medical_specialty 050801 communication & media studies Malignancy 0508 media and communications Vascularity Biopsy Medicine colour mapping Original Paper Receiver operating characteristic medicine.diagnostic_test business.industry 05 social sciences Thyroid Nodule (medicine) ultrasonography medicine.disease medicine.anatomical_structure Fine-needle aspiration thyroid nodule Radiology medicine.symptom business malignancy |
| Zdroj: | Polish Journal of Radiology |
| ISSN: | 1899-0967 |
| DOI: | 10.5114/pjr.2019.91208 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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