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Evaluating Focal 18F-FDG Uptake in Thyroid Gland with Radiomics

Nuclear Medicine and Molecular Imaging 2020년 54권 5호 p.241 ~ 248
Aksu Aysegul, Sen Nazli Pinar Karahan, Acar Emine, Kaya Gamze Capa,
소속 상세정보
 ( Aksu Aysegul ) - Dokuz Eylul University School of Medicine Department of Nuclear Medicine
 ( Sen Nazli Pinar Karahan ) - Dokuz Eylul University School of Medicine Department of Nuclear Medicine
 ( Acar Emine ) - Kent Hospital Department of Nuclear Medicine
 ( Kaya Gamze Capa ) - Dokuz Eylul University School of Medicine Department of Nuclear Medicine

Abstract


Purpose: The aim of this study was to evaluate the ability of 18F-FDG PET/CT texture analysis to predict the exact pathological outcome of thyroid incidentalomas.

Methods: 18F-FDG PET/CT images between March 2010 and September 2018 were retrospectively reviewed in patients with focal 18F-FDG uptake in the thyroid gland and who underwent fine needle aspiration biopsy from this area. The focal uptake in the thyroid gland was drawn in 3D with 40% SUVmax threshold. Features were extracted from volume of interest (VOI) using the LIFEx package. The features obtained were compared in benign and malignant groups, and statistically significant variables were evaluated by receiver operating curve (ROC) analysis. The correlation between the variables with area under curve (AUC) value over 0.7 was examined; variables with correlation coefficient less than 0.6 were evaluated with machine learning algorithms.

Results: Sixty patients (70% train set, 30% test set) were included in the study. In univariate analysis, a statistically significant difference was observed in 6 conventional parameters, 5 first-, and 16 second-order features between benign and malignant groups in train set (p?
Conclusion: In the differentiation of benign-malignant thyroid incidentalomas, GLRLMRLNU and SUVmax combination may be more useful than SUVmax to predict the outcome.

키워드

Thyroid incidentaloma; FDG; PET; Radiomics; Texture

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