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The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in (18)F-FDG PET/CT Scans

OBJECTIVES: The metabolic activities of tumors can be calculated volumetrically during positron emission tomography/computed tomography (PET/CT) imaging using metabolic tumor volume (MTV) and total lesion glycolysis (TLG). This study aimed to evaluate the roles of MTV and TLG in predicting the malig...

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Autores principales: Erdoğan, Mehmet, Korkmaz, Hakan, Torus, Bora, Avcı, Mustafa, Boylubay, Şerife Mehtap, Çiriş, Metin, Yıldız, Mustafa, Şengül, Sevim Süreyya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Galenos Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185484/
https://www.ncbi.nlm.nih.gov/pubmed/34082507
http://dx.doi.org/10.4274/mirt.galenos.2021.75983
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author Erdoğan, Mehmet
Korkmaz, Hakan
Torus, Bora
Avcı, Mustafa
Boylubay, Şerife Mehtap
Çiriş, Metin
Yıldız, Mustafa
Şengül, Sevim Süreyya
author_facet Erdoğan, Mehmet
Korkmaz, Hakan
Torus, Bora
Avcı, Mustafa
Boylubay, Şerife Mehtap
Çiriş, Metin
Yıldız, Mustafa
Şengül, Sevim Süreyya
author_sort Erdoğan, Mehmet
collection PubMed
description OBJECTIVES: The metabolic activities of tumors can be calculated volumetrically during positron emission tomography/computed tomography (PET/CT) imaging using metabolic tumor volume (MTV) and total lesion glycolysis (TLG). This study aimed to evaluate the roles of MTV and TLG in predicting the malignancy risk of incidental thyroid nodules detected by PET/CT imaging. METHODS: Active metabolic areas of each section were manually drawn by region of interest to calculate the MTV of nodules, and all obtained values were then summed. TLG, the product of mean standardized uptake value and MTV, was calculated by multiplying two values. All participants underwent thyroid ultrasonography imaging. All nodules were divided into risk classes according to the European Thyroid Image Reporting and Data System (EU-TIRADS) that was developed by the European Thyroid Association. The American Thyroid Association Guidelines were used to determine which thyroid nodules would undergo thyroid fine-needle biopsy (FNAB). Results were classified according to the Bethesda scoring system. RESULTS: TLG levels were significantly higher in malignant or malignant-suspicious nodules than in benign nodules (p=0.013). Although MTV levels were high in malignant or malignant-suspicious nodules than in benign and non-diagnostic nodules, it was statistically insignificant at limit values (p=0.079). Areas under curve (AUC) were 0.726 (p=0.005) and AUC: 0.668 (p=0.039) for TLG and MTV, respectively. The 2.3 g cut-off value of TLG has a sensitivity of 85.7% and specificity of 59.0%. The 1.7 mL cut-off value of MTV has a sensitivity of 78.6% and specificity of 60.4%. CONCLUSION: We believe that TLG evaluation will be useful in predicting high-risk malignancy or malignancy suspicion based on EU-TIRADS risk classification of incidental thyroid nodules detected in PET/CT images. We believe that unnecessary thyroid FNABs can be avoided for thyroid incidental nodules if such relation and cut-off values are determined and that it will be useful in hastening the operation of the necessary patients.
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spelling pubmed-81854842021-06-17 The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in (18)F-FDG PET/CT Scans Erdoğan, Mehmet Korkmaz, Hakan Torus, Bora Avcı, Mustafa Boylubay, Şerife Mehtap Çiriş, Metin Yıldız, Mustafa Şengül, Sevim Süreyya Mol Imaging Radionucl Ther Original Article OBJECTIVES: The metabolic activities of tumors can be calculated volumetrically during positron emission tomography/computed tomography (PET/CT) imaging using metabolic tumor volume (MTV) and total lesion glycolysis (TLG). This study aimed to evaluate the roles of MTV and TLG in predicting the malignancy risk of incidental thyroid nodules detected by PET/CT imaging. METHODS: Active metabolic areas of each section were manually drawn by region of interest to calculate the MTV of nodules, and all obtained values were then summed. TLG, the product of mean standardized uptake value and MTV, was calculated by multiplying two values. All participants underwent thyroid ultrasonography imaging. All nodules were divided into risk classes according to the European Thyroid Image Reporting and Data System (EU-TIRADS) that was developed by the European Thyroid Association. The American Thyroid Association Guidelines were used to determine which thyroid nodules would undergo thyroid fine-needle biopsy (FNAB). Results were classified according to the Bethesda scoring system. RESULTS: TLG levels were significantly higher in malignant or malignant-suspicious nodules than in benign nodules (p=0.013). Although MTV levels were high in malignant or malignant-suspicious nodules than in benign and non-diagnostic nodules, it was statistically insignificant at limit values (p=0.079). Areas under curve (AUC) were 0.726 (p=0.005) and AUC: 0.668 (p=0.039) for TLG and MTV, respectively. The 2.3 g cut-off value of TLG has a sensitivity of 85.7% and specificity of 59.0%. The 1.7 mL cut-off value of MTV has a sensitivity of 78.6% and specificity of 60.4%. CONCLUSION: We believe that TLG evaluation will be useful in predicting high-risk malignancy or malignancy suspicion based on EU-TIRADS risk classification of incidental thyroid nodules detected in PET/CT images. We believe that unnecessary thyroid FNABs can be avoided for thyroid incidental nodules if such relation and cut-off values are determined and that it will be useful in hastening the operation of the necessary patients. Galenos Publishing 2021-06 2021-06-03 /pmc/articles/PMC8185484/ /pubmed/34082507 http://dx.doi.org/10.4274/mirt.galenos.2021.75983 Text en ©Copyright 2021 by Turkish Society of Nuclear Medicine | Molecular Imaging and Radionuclide Therapy published by Galenos Yayınevi. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Erdoğan, Mehmet
Korkmaz, Hakan
Torus, Bora
Avcı, Mustafa
Boylubay, Şerife Mehtap
Çiriş, Metin
Yıldız, Mustafa
Şengül, Sevim Süreyya
The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in (18)F-FDG PET/CT Scans
title The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in (18)F-FDG PET/CT Scans
title_full The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in (18)F-FDG PET/CT Scans
title_fullStr The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in (18)F-FDG PET/CT Scans
title_full_unstemmed The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in (18)F-FDG PET/CT Scans
title_short The Role of Metabolic Volumetric Parameters in Predicting Malignancy in Incidental Thyroid Nodules Detected in (18)F-FDG PET/CT Scans
title_sort role of metabolic volumetric parameters in predicting malignancy in incidental thyroid nodules detected in (18)f-fdg pet/ct scans
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8185484/
https://www.ncbi.nlm.nih.gov/pubmed/34082507
http://dx.doi.org/10.4274/mirt.galenos.2021.75983
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