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Predictive Value of Diffusion, Glucose Metabolism Parameters of PET/MR in Patients With Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy

Purpose: This study aims to evaluate the predictive value of the pretreatment, metabolic, and diffusion parameters of a primary tumor assessed with PET/MR on patient clinical outcomes. Methods: Retrospective evaluation was performed using PET/MR image data sets acquired using the single tracer injec...

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Autores principales: Kedves, András, Tóth, Zoltán, Emri, Miklós, Fábián, Krisztián, Sipos, Dávid, Freihat, Omar, Tollár, József, Cselik, Zsolt, Lakosi, Ferenc, Bajzik, Gábor, Repa, Imre, Kovács, Árpád
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492555/
https://www.ncbi.nlm.nih.gov/pubmed/32983984
http://dx.doi.org/10.3389/fonc.2020.01484
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author Kedves, András
Tóth, Zoltán
Emri, Miklós
Fábián, Krisztián
Sipos, Dávid
Freihat, Omar
Tollár, József
Cselik, Zsolt
Lakosi, Ferenc
Bajzik, Gábor
Repa, Imre
Kovács, Árpád
author_facet Kedves, András
Tóth, Zoltán
Emri, Miklós
Fábián, Krisztián
Sipos, Dávid
Freihat, Omar
Tollár, József
Cselik, Zsolt
Lakosi, Ferenc
Bajzik, Gábor
Repa, Imre
Kovács, Árpád
author_sort Kedves, András
collection PubMed
description Purpose: This study aims to evaluate the predictive value of the pretreatment, metabolic, and diffusion parameters of a primary tumor assessed with PET/MR on patient clinical outcomes. Methods: Retrospective evaluation was performed using PET/MR image data sets acquired using the single tracer injection dual imaging of 68 histologically proven head and neck cancer patients 4 weeks before receiving definitive chemoradiotherapy (CRT). PET/MR was performed before the CRT and 12 weeks after the CRT for response evaluation. Image data (PET and MRI diffusion-weighted imaging [DWI]) was used to specify the maximum standard uptake value, the peak lean body mass corrected, SUV(max), the metabolic tumor volume, the total lesion glycolysis (SUV(max), SUL(peak), MTV, and TLG), and the mean apparent diffusion coefficient (ADC(mean)) of the primary tumor. Based on the results of the therapeutic response evaluation, two patient subgroups were created: one with a viable tumor and another without. Metabolic and diffusion data, from the pretreatment PET/MR and the therapeutic response, were correlated using Spearman's correlation coefficient and Wilcoxon's test. Results: After completing the CRT, a viable residual tumor was detected in 36/68 (53%) cases, and 32/68 (47%) patients showed complete remission. However, no significant correlation was found between the pretreatment parameter, ADC(mean) (p = 0.88), and the therapeutic success. The PET parameters, SUV(max) and SUL(peak), MTV, and TLG (p = 0.032, p = 0.01, p < 0.0001, p = 0.0004) were statistically significantly different between the two patient subgroups. Conclusion: This study found that MRI-based (ADC(mean)) data from FDG PET/MR pretreatment could not be used to predict therapeutic response although the PET parameters SUV(max), SUL(peak), MTV, and TLG proved to be more useful; thus, their inclusion in risk stratification may also be of additional value.
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spelling pubmed-74925552020-09-25 Predictive Value of Diffusion, Glucose Metabolism Parameters of PET/MR in Patients With Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy Kedves, András Tóth, Zoltán Emri, Miklós Fábián, Krisztián Sipos, Dávid Freihat, Omar Tollár, József Cselik, Zsolt Lakosi, Ferenc Bajzik, Gábor Repa, Imre Kovács, Árpád Front Oncol Oncology Purpose: This study aims to evaluate the predictive value of the pretreatment, metabolic, and diffusion parameters of a primary tumor assessed with PET/MR on patient clinical outcomes. Methods: Retrospective evaluation was performed using PET/MR image data sets acquired using the single tracer injection dual imaging of 68 histologically proven head and neck cancer patients 4 weeks before receiving definitive chemoradiotherapy (CRT). PET/MR was performed before the CRT and 12 weeks after the CRT for response evaluation. Image data (PET and MRI diffusion-weighted imaging [DWI]) was used to specify the maximum standard uptake value, the peak lean body mass corrected, SUV(max), the metabolic tumor volume, the total lesion glycolysis (SUV(max), SUL(peak), MTV, and TLG), and the mean apparent diffusion coefficient (ADC(mean)) of the primary tumor. Based on the results of the therapeutic response evaluation, two patient subgroups were created: one with a viable tumor and another without. Metabolic and diffusion data, from the pretreatment PET/MR and the therapeutic response, were correlated using Spearman's correlation coefficient and Wilcoxon's test. Results: After completing the CRT, a viable residual tumor was detected in 36/68 (53%) cases, and 32/68 (47%) patients showed complete remission. However, no significant correlation was found between the pretreatment parameter, ADC(mean) (p = 0.88), and the therapeutic success. The PET parameters, SUV(max) and SUL(peak), MTV, and TLG (p = 0.032, p = 0.01, p < 0.0001, p = 0.0004) were statistically significantly different between the two patient subgroups. Conclusion: This study found that MRI-based (ADC(mean)) data from FDG PET/MR pretreatment could not be used to predict therapeutic response although the PET parameters SUV(max), SUL(peak), MTV, and TLG proved to be more useful; thus, their inclusion in risk stratification may also be of additional value. Frontiers Media S.A. 2020-09-02 /pmc/articles/PMC7492555/ /pubmed/32983984 http://dx.doi.org/10.3389/fonc.2020.01484 Text en Copyright © 2020 Kedves, Tóth, Emri, Fábián, Sipos, Freihat, Tollár, Cselik, Lakosi, Bajzik, Repa and Kovács. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Kedves, András
Tóth, Zoltán
Emri, Miklós
Fábián, Krisztián
Sipos, Dávid
Freihat, Omar
Tollár, József
Cselik, Zsolt
Lakosi, Ferenc
Bajzik, Gábor
Repa, Imre
Kovács, Árpád
Predictive Value of Diffusion, Glucose Metabolism Parameters of PET/MR in Patients With Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy
title Predictive Value of Diffusion, Glucose Metabolism Parameters of PET/MR in Patients With Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy
title_full Predictive Value of Diffusion, Glucose Metabolism Parameters of PET/MR in Patients With Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy
title_fullStr Predictive Value of Diffusion, Glucose Metabolism Parameters of PET/MR in Patients With Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy
title_full_unstemmed Predictive Value of Diffusion, Glucose Metabolism Parameters of PET/MR in Patients With Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy
title_short Predictive Value of Diffusion, Glucose Metabolism Parameters of PET/MR in Patients With Head and Neck Squamous Cell Carcinoma Treated With Chemoradiotherapy
title_sort predictive value of diffusion, glucose metabolism parameters of pet/mr in patients with head and neck squamous cell carcinoma treated with chemoradiotherapy
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492555/
https://www.ncbi.nlm.nih.gov/pubmed/32983984
http://dx.doi.org/10.3389/fonc.2020.01484
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