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The Correlations Between MRI Perfusion, Diffusion Parameters, and (18)F-FDG PET Metabolic Parameters in Primary Head-and-Neck Cancer: A Cross-Sectional Analysis in Single Institute

This study aimed to investigate the relationships among parameters from dynamic contrast-enhanced (DCE) MRI, diffusion-weighted MRI (DWI), and (18)F-fluorodeoxyglucose ((18)F-FDG) PET in patients with primary head-and-neck squamous cell carcinoma (HNSCC). A total of 34 patients with primary HNSCC un...

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Autores principales: Han, Miran, Kim, Sun Yong, Lee, Su Jin, Choi, Jin Wook
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5059009/
https://www.ncbi.nlm.nih.gov/pubmed/26632740
http://dx.doi.org/10.1097/MD.0000000000002141
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author Han, Miran
Kim, Sun Yong
Lee, Su Jin
Choi, Jin Wook
author_facet Han, Miran
Kim, Sun Yong
Lee, Su Jin
Choi, Jin Wook
author_sort Han, Miran
collection PubMed
description This study aimed to investigate the relationships among parameters from dynamic contrast-enhanced (DCE) MRI, diffusion-weighted MRI (DWI), and (18)F-fluorodeoxyglucose ((18)F-FDG) PET in patients with primary head-and-neck squamous cell carcinoma (HNSCC). A total of 34 patients with primary HNSCC underwent DCE-MRI, DWI, and (18)F-FDG PET before treatment. The perfusion parameters (K(trans), K(transmax), K(ep), V(e), V(p), and AUC(60)) from DCE-MRI and ADC (ADC(mean), ADC(min)) values from DWI were calculated within the manually placed ROI around the main tumor. Standardized uptake value (SUV(max), SUV(mean)), metabolic tumor volume (MTV), and total lesion glycolysis (TLG = SUV(mean) × MTV) were calculated with thresholds of 3.0 SUV. The associations between parameters were evaluated by Pearson correlation analysis. Significant correlations were identified between K(trans) and K(ep) (r = 0.631), K(trans) and V(e) (r = 0.603), K(trans) and ADC(mean) (r = 0.438), K(transmax) and K(ep) (r = 0.667), K(transmax) and V(p) (r = 0.351), V(e) and AUC(60) (r = 0.364), V(e) and ADC(mean) (r = 0.590), and V(e) and ADC(min) (r = 0.361). ADC(min) was reversely correlated with TLG (r = –0.347). Tumor volume was significantly associated with K(transmax) (r = 0.348). The demonstrated relationships among parameters from DCE, DWI, and (18)F-FDG PET suggest complex interactions among tumor biologic characteristics. Each diagnostic technique may provide complementary information for HNSCC.
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spelling pubmed-50590092016-11-01 The Correlations Between MRI Perfusion, Diffusion Parameters, and (18)F-FDG PET Metabolic Parameters in Primary Head-and-Neck Cancer: A Cross-Sectional Analysis in Single Institute Han, Miran Kim, Sun Yong Lee, Su Jin Choi, Jin Wook Medicine (Baltimore) 6800 This study aimed to investigate the relationships among parameters from dynamic contrast-enhanced (DCE) MRI, diffusion-weighted MRI (DWI), and (18)F-fluorodeoxyglucose ((18)F-FDG) PET in patients with primary head-and-neck squamous cell carcinoma (HNSCC). A total of 34 patients with primary HNSCC underwent DCE-MRI, DWI, and (18)F-FDG PET before treatment. The perfusion parameters (K(trans), K(transmax), K(ep), V(e), V(p), and AUC(60)) from DCE-MRI and ADC (ADC(mean), ADC(min)) values from DWI were calculated within the manually placed ROI around the main tumor. Standardized uptake value (SUV(max), SUV(mean)), metabolic tumor volume (MTV), and total lesion glycolysis (TLG = SUV(mean) × MTV) were calculated with thresholds of 3.0 SUV. The associations between parameters were evaluated by Pearson correlation analysis. Significant correlations were identified between K(trans) and K(ep) (r = 0.631), K(trans) and V(e) (r = 0.603), K(trans) and ADC(mean) (r = 0.438), K(transmax) and K(ep) (r = 0.667), K(transmax) and V(p) (r = 0.351), V(e) and AUC(60) (r = 0.364), V(e) and ADC(mean) (r = 0.590), and V(e) and ADC(min) (r = 0.361). ADC(min) was reversely correlated with TLG (r = –0.347). Tumor volume was significantly associated with K(transmax) (r = 0.348). The demonstrated relationships among parameters from DCE, DWI, and (18)F-FDG PET suggest complex interactions among tumor biologic characteristics. Each diagnostic technique may provide complementary information for HNSCC. Wolters Kluwer Health 2015-10-30 /pmc/articles/PMC5059009/ /pubmed/26632740 http://dx.doi.org/10.1097/MD.0000000000002141 Text en Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an open access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0, where it is permissible to download, share and reproduce the work in any medium, provided it is properly cited. The work cannot be changed in any way or used commercially. http://creativecommons.org/licenses/by-nc-nd/4.0
spellingShingle 6800
Han, Miran
Kim, Sun Yong
Lee, Su Jin
Choi, Jin Wook
The Correlations Between MRI Perfusion, Diffusion Parameters, and (18)F-FDG PET Metabolic Parameters in Primary Head-and-Neck Cancer: A Cross-Sectional Analysis in Single Institute
title The Correlations Between MRI Perfusion, Diffusion Parameters, and (18)F-FDG PET Metabolic Parameters in Primary Head-and-Neck Cancer: A Cross-Sectional Analysis in Single Institute
title_full The Correlations Between MRI Perfusion, Diffusion Parameters, and (18)F-FDG PET Metabolic Parameters in Primary Head-and-Neck Cancer: A Cross-Sectional Analysis in Single Institute
title_fullStr The Correlations Between MRI Perfusion, Diffusion Parameters, and (18)F-FDG PET Metabolic Parameters in Primary Head-and-Neck Cancer: A Cross-Sectional Analysis in Single Institute
title_full_unstemmed The Correlations Between MRI Perfusion, Diffusion Parameters, and (18)F-FDG PET Metabolic Parameters in Primary Head-and-Neck Cancer: A Cross-Sectional Analysis in Single Institute
title_short The Correlations Between MRI Perfusion, Diffusion Parameters, and (18)F-FDG PET Metabolic Parameters in Primary Head-and-Neck Cancer: A Cross-Sectional Analysis in Single Institute
title_sort correlations between mri perfusion, diffusion parameters, and (18)f-fdg pet metabolic parameters in primary head-and-neck cancer: a cross-sectional analysis in single institute
topic 6800
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5059009/
https://www.ncbi.nlm.nih.gov/pubmed/26632740
http://dx.doi.org/10.1097/MD.0000000000002141
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