Evidence map›Paper›PMID 40804228›Full record

ArticleJournal of ultrasound2025

Usefulness of ultrasound quantitative assessment of microvascularity in the thyroid nodule risk stratification.

Alessandro Cannavale, Mario Corona, Pierleone Lucatelli, Piergiorgio Nardis, Fabrizio Basilico, Giacomo Bonito, Luca Giuliani, Gianmarco Lo Conte, Patrizia Pacini, Olha Pushkarenko and 2 more

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Article in Journal of ultrasound, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Alessandro CannavaleDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, Vascular and Interventional Unit, Rome, Italy. alessandro.cannavale@hotmail.com.ORCID http://orcid.org/0000-0001-8411-1805
Mario CoronaDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, Vascular and Interventional Unit, Rome, Italy.
Pierleone LucatelliDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, Vascular and Interventional Unit, Rome, Italy.
Piergiorgio NardisDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, Vascular and Interventional Unit, Rome, Italy.
Fabrizio BasilicoDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, Vascular and Interventional Unit, Rome, Italy.
Giacomo BonitoDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, 'Sapienza' University of Rome, Rome, Italy.
Luca GiulianiDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, 'Sapienza' University of Rome, Rome, Italy.
Gianmarco Lo ConteDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, 'Sapienza' University of Rome, Rome, Italy.
Patrizia PaciniDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, 'Sapienza' University of Rome, Rome, Italy.
Olha PushkarenkoMedicine faculty, Uzhhorod National University, Uzhhorod, Ukraine.
Carlo CatalanoDepartment of Radiological Sciences, Policlinico Umberto I University Hospital, 'Sapienza' University of Rome, Rome, Italy.
Vito CantisaniComplex Unit of Teleradiology Polo Reatino, Sapienza' University of Rome, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe primarily assessed the capability of ultrasound quantitative microvascularity imaging (qMI) in identifying high risk thyroid nodules. In addition, the diagnostic performance of computer aided diagnosis (CAD) was evaluated and correlated with qMI and cytology results.

methodsThis single centre prospective study was carried out from 2023 to 2024 and included 165 target thyroid nodules,that were assessed by using CAD for semi-automatic EU-TIRADS classification and qMI, that. Subsequently, all nodules underwent Fine Needle Aspiration Biopsy and Cytology. CAD derived EU-TIRADS and qMI results (Vascularity Index - VI) were correlated with cytology results, that were used as a reference standard, using regression analyses.

resultsTarget nodules showed mean size of 15.6 mm ± 9 (range 4-40 mm) and mean vascularity index of 29.03% ± 24.3 (range 0-98.7%)at qMI analysis. Mean vascularity index of 'benign' nodules (TIR2) and low risk nodules (TIR3A) was 35% (range 5-98.7%), that was significantly higher than that of high risk (TIR3B) and malignant nodules (TIR 4/5) (24.2%, p = 0.04.). However, within the malignant group, small nodules (< 10 mm) showed higher vascularity mean VI = 31.45%) than larger nodules (mean VI = 16.91%, p = 0.03). CAD showed very high overall sensitivity and specificity for all EU-TIRADS, allowing for EU-TIRADS 3 and 4 nodules.

conclusionVascularity index showed a weak relationship with nodule size and cytology results. High vascularity may be observed more frequently in small malignant tumours and large benign tumours. Some EU-TIRADS 3 and 4 nodules may benefit of qMI assessment, as CAD shows lower accuracy.

Indexed as

MicrovesselsThyroid NoduleAdultAgedBiopsy, Fine-NeedleDiagnosis, Computer-AssistedFemaleHumansMaleMiddle AgedProspective StudiesRisk AssessmentThyroid GlandUltrasonographyYoung AdultComputer aided diagnosisMicrovascularityRisk stratificationThyroid nodule

Identifiers

PMID40804228
PMCPMC12496325

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.