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Assessing the variability and correlation between SUV and ADC parameters of head and neck cancers derived from simultaneous PET/MRI: A single‐center study
OBJECTIVE: Intratumoral heterogeneity is associated with poor outcomes in head and neck cancer (HNC) patients owing to chemoradiotherapy resistance. [(18)F]‐FDG positron emission tomography (PET) / Magnetic Resonance Imaging (MRI) provides spatial information about tumor mass, allowing intratumor he...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161023/ https://www.ncbi.nlm.nih.gov/pubmed/36763489 http://dx.doi.org/10.1002/acm2.13928 |
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author | Wongsa, Paramest Nantasuk, Mayurachat Singhnoi, Sinirun Pawano, Phattarasaya Jantarato, Attapon Siripongsatian, Dheeratama Lerdsirisuk, Pradith Phonlakrai, Monchai |
author_facet | Wongsa, Paramest Nantasuk, Mayurachat Singhnoi, Sinirun Pawano, Phattarasaya Jantarato, Attapon Siripongsatian, Dheeratama Lerdsirisuk, Pradith Phonlakrai, Monchai |
author_sort | Wongsa, Paramest |
collection | PubMed |
description | OBJECTIVE: Intratumoral heterogeneity is associated with poor outcomes in head and neck cancer (HNC) patients owing to chemoradiotherapy resistance. [(18)F]‐FDG positron emission tomography (PET) / Magnetic Resonance Imaging (MRI) provides spatial information about tumor mass, allowing intratumor heterogeneity assessment through histogram analysis. However, variability in quantitative PET/MRI parameter measurements could influence their reliability in assessing patient prognosis. Therefore, to use standardized uptake value (SUV) and apparent diffusion coefficient (ADC) parameters for assessing tumor response, this study aimed to measure SUV and ADC's variability and assess their relationship in HNC. METHODS: First, ADC variability was measured in an in‐house diffusion phantom and in five healthy volunteers. The SUV variability was only measured with the NEMA phantom using a clinical imaging protocol. Furthermore, simultaneous PET/MRI data of 11 HNC patients were retrospectively collected from the National Cyclotron and PET center in Chulabhorn Hospital. Tumor contours were manually drawn from PET images by an experienced nuclear medicine radiologist before tumor volume segmentation. Next, SUV and ADC's histogram were used to extract statistic variables of ADC and SUV: mean, median, min, max, skewness, kurtosis, and 5(th), 10(th), 25(th), 50(th), 75(th), 90(th), and 95(th) percentiles. Finally, the correlation between the statistic variables of ADC and SUV, as well as Metabolic Tumor volume and Total Lesion Glycolysis parameters was assessed using Pearson's correlation. RESULTS: This pilot study showed that both parameters’ maximum coefficient of variation was 13.9% and 9.8% in the phantom and in vivo, respectively. Furthermore, we found a strong and negative correlation between SUV(max) and ADV(med) (r = −0.75, P = 0.01). CONCLUSION: The SUV and ADC obtained by simultaneous PET/MRI can be potentially used as an imaging biomarker for assessing intratumoral heterogeneity in patients with HNC. The low variability and relationship between SUV and ADC could allow multimodal prediction of tumor response in future studies. |
format | Online Article Text |
id | pubmed-10161023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101610232023-05-06 Assessing the variability and correlation between SUV and ADC parameters of head and neck cancers derived from simultaneous PET/MRI: A single‐center study Wongsa, Paramest Nantasuk, Mayurachat Singhnoi, Sinirun Pawano, Phattarasaya Jantarato, Attapon Siripongsatian, Dheeratama Lerdsirisuk, Pradith Phonlakrai, Monchai J Appl Clin Med Phys Medical Imaging OBJECTIVE: Intratumoral heterogeneity is associated with poor outcomes in head and neck cancer (HNC) patients owing to chemoradiotherapy resistance. [(18)F]‐FDG positron emission tomography (PET) / Magnetic Resonance Imaging (MRI) provides spatial information about tumor mass, allowing intratumor heterogeneity assessment through histogram analysis. However, variability in quantitative PET/MRI parameter measurements could influence their reliability in assessing patient prognosis. Therefore, to use standardized uptake value (SUV) and apparent diffusion coefficient (ADC) parameters for assessing tumor response, this study aimed to measure SUV and ADC's variability and assess their relationship in HNC. METHODS: First, ADC variability was measured in an in‐house diffusion phantom and in five healthy volunteers. The SUV variability was only measured with the NEMA phantom using a clinical imaging protocol. Furthermore, simultaneous PET/MRI data of 11 HNC patients were retrospectively collected from the National Cyclotron and PET center in Chulabhorn Hospital. Tumor contours were manually drawn from PET images by an experienced nuclear medicine radiologist before tumor volume segmentation. Next, SUV and ADC's histogram were used to extract statistic variables of ADC and SUV: mean, median, min, max, skewness, kurtosis, and 5(th), 10(th), 25(th), 50(th), 75(th), 90(th), and 95(th) percentiles. Finally, the correlation between the statistic variables of ADC and SUV, as well as Metabolic Tumor volume and Total Lesion Glycolysis parameters was assessed using Pearson's correlation. RESULTS: This pilot study showed that both parameters’ maximum coefficient of variation was 13.9% and 9.8% in the phantom and in vivo, respectively. Furthermore, we found a strong and negative correlation between SUV(max) and ADV(med) (r = −0.75, P = 0.01). CONCLUSION: The SUV and ADC obtained by simultaneous PET/MRI can be potentially used as an imaging biomarker for assessing intratumoral heterogeneity in patients with HNC. The low variability and relationship between SUV and ADC could allow multimodal prediction of tumor response in future studies. John Wiley and Sons Inc. 2023-02-10 /pmc/articles/PMC10161023/ /pubmed/36763489 http://dx.doi.org/10.1002/acm2.13928 Text en © 2023 The Authors. Journal of Applied Clinical Medical Physics published by Wiley Periodicals, LLC on behalf of The American Association of Physicists in Medicine. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Medical Imaging Wongsa, Paramest Nantasuk, Mayurachat Singhnoi, Sinirun Pawano, Phattarasaya Jantarato, Attapon Siripongsatian, Dheeratama Lerdsirisuk, Pradith Phonlakrai, Monchai Assessing the variability and correlation between SUV and ADC parameters of head and neck cancers derived from simultaneous PET/MRI: A single‐center study |
title | Assessing the variability and correlation between SUV and ADC parameters of head and neck cancers derived from simultaneous PET/MRI: A single‐center study |
title_full | Assessing the variability and correlation between SUV and ADC parameters of head and neck cancers derived from simultaneous PET/MRI: A single‐center study |
title_fullStr | Assessing the variability and correlation between SUV and ADC parameters of head and neck cancers derived from simultaneous PET/MRI: A single‐center study |
title_full_unstemmed | Assessing the variability and correlation between SUV and ADC parameters of head and neck cancers derived from simultaneous PET/MRI: A single‐center study |
title_short | Assessing the variability and correlation between SUV and ADC parameters of head and neck cancers derived from simultaneous PET/MRI: A single‐center study |
title_sort | assessing the variability and correlation between suv and adc parameters of head and neck cancers derived from simultaneous pet/mri: a single‐center study |
topic | Medical Imaging |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161023/ https://www.ncbi.nlm.nih.gov/pubmed/36763489 http://dx.doi.org/10.1002/acm2.13928 |
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