AI may help to predict thyroid nodule malignancy based on radiomics features from [18F]FDG PET/CT

AI may help to predict thyroid nodule malignancy based on radiomics features from [18F]FDG PET/CT

Abstract Background The number of thyroid cancer diagnoses has been increasing for several decades, with a significant part of cases being detected incidentally (thyroid incidentaloma, TI) by imaging studies performed for reasons other than thyroid disease, including PET/CT with [18F]FDG. The chacte...

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Bibliographic Details
Main Authors: Krystian Ślusarz, Mikolaj Buchwald, Adrian Szczeszek, Szymon Kupinski, Anna Gramek-Jedwabna, Wojciech Andrzejewski, Juliusz Pukacki, Robert Pękal, Marek Ruchała, Rafał Czepczyński, Cezary Mazurek
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:EJNMMI Research
Subjects:
Radiomics
Machine learning
AI
Thyroid incidentaloma
Thyroid cancer
PET/CT
Online Access:https://doi.org/10.1186/s13550-025-01228-4
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