Quantitative Thyroid Volume Analysis in Healthy, Hypo and Hyperthyroid Individuals Using T2-Weighted MRI and Artificial Intelligence

Motivation: Assess the feasibility of calculating thyroid volumes using T2-weighted MR imaging. Goal(s): Quantify thyroid volume using deep learning methods in healthy, hypo and hyperthyroid patients. Approach: We assessed MRIs of 469 healthy, 606 hypothyroid, and 203 hyperthyroid individuals, matched for age, weight, and height. Results: Findings indicated altered thyroid volumes in healthy (11.02 ml), hyperthyroid (9.42 ml), and hypothyroid (8.35 ml), BMI-normalized volumes also differed: healthy (0.445), hyperthyroid (0.387), and hypothyroid (0.337). There is a moderate association between thyroid volume and weight (0.41, p=3.2e-25) and a weaker link with height (0.17, p=3.9e-05). Impact: MRI-based analysis of thyroid volumes in healthy, hyper and hypothyroid patients using deep learning, revealing varied absolute and BMI-based normalized volumes.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/2109
Primary Topic
Cardiac Imaging and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Quantitative Thyroid Volume Analysis in Healthy, Hypo and Hyperthyroid Individuals Using T2-Weighted MRI and Artificial Intelligence

Thanh-Duc Nguyen, Madhurima Datta, Raj Attariwala, Nasrin Akbari et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Cardiac Imaging and Diagnostics
article

Quantitative Thyroid Volume Analysis in Healthy, Hypo and Hyperthyroid Individuals Using T2-Weighted MRI and Artificial Intelligence

Thanh-Duc Nguyen, Madhurima Datta, Raj Attariwala, Nasrin Akbari, Arun Rajendran, Kellyann Niotis, Yosef Chodakiewitz, Soo‐Jin Lee, Saurabh K. Garg†, Saqib Basar, Sam Hashemi
article en

Abstract

Motivation: Assess the feasibility of calculating thyroid volumes using T2-weighted MR imaging. Goal(s): Quantify thyroid volume using deep learning methods in healthy, hypo and hyperthyroid patients. Approach: We assessed MRIs of 469 healthy, 606 hypothyroid, and 203 hyperthyroid individuals, matched for age, weight, and height. Results: Findings indicated altered thyroid volumes in healthy (11.02 ml), hyperthyroid (9.42 ml), and hypothyroid (8.35 ml), BMI-normalized volumes also differed: healthy (0.445), hyperthyroid (0.387), and hypothyroid (0.337). There is a moderate association between thyroid volume and weight (0.41, p=3.2e-25) and a weaker link with height (0.17, p=3.9e-05). Impact: MRI-based analysis of thyroid volumes in healthy, hyper and hypothyroid patients using deep learning, revealing varied absolute and BMI-based normalized volumes.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
Cardiac Imaging and Diagnostics
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