Evaluation with Neck MRI in Patients with FDG Uptake in the Vocal Cords on PET/CT
Abstract
Background/Aims: Elevated fluorodeoxyglucose (FDG) uptake in the vocal cords observed on PET/CT scans may result from tumors, vocal cord paralysis, inflammation, or normal phonatory activity. Therefore, cervical MRI is valuable for assessing the anatomical correlates underlying these metabolic changes in clinical practice. Methods: A retrospective cross-sectional study was performed involving patients with elevated FDG uptake in the vocal cords on PET/CT scans from 2020 to 2025. Patients with head and neck cancers or MRI scans with artifacts were excluded. Cervical MRI results from 38 PET-positive patients were compared with those of a control group of 17 individuals without vocal cord uptake. The apparent diffusion coefficient (ADC) was measured for both vocal cords, and vocal cord-to-muscle signal intensity ratios were calculated on T1- and T2-weighted images. Demographic, clinical, and imaging data were analyzed using appropriate statistical tests. Results: The study included 38 patients and 17 controls. No significant differences were observed between the groups in SUVmax, ADC, or T1/T2 signal intensity ratios. No strong associations were identified between underlying conditions, sex, MRI findings, or history of chemotherapy or radiotherapy and the imaging parameters. However, age demonstrated a moderate positive correlation with ADC values in the right vocal cord and a weak-to-moderate correlation in the left vocal cord. Conclusion: Increased FDG uptake in the vocal cords on PET/CT cannot be reliably identified using quantitative MRI measurements alone. These data indicate that comprehensive anatomical assessment, clinical evaluation, and endoscopic examination, when indicated, are necessary for interpreting vocal cord FDG uptake rather than relying solely on MRI metrics.
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References
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Details
Primary Language
English
Subjects
Radiology and Organ Imaging
Journal Section
Research Article
Authors
Elif Aktaş
*
0000-0002-2339-8707
Türkiye
Erkan Bilgin
0000-0002-2054-1571
Türkiye
Ali Şahin
0009-0005-1890-7916
Türkiye
Felat Toprak
0000-0002-5952-7718
Türkiye
Gülin Uçmak
0000-0002-0268-4747
Türkiye
Publication Date
July 31, 2026
Submission Date
May 18, 2026
Acceptance Date
June 20, 2026
Published in Issue
Year 2026 Volume: 16 Number: 4