“Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging

Purpose: To quantify abnormal metabolism of diffuse gliomas using “aerobic glycolytic imaging” and investigate its biological correlation. Methods: All subjects underwent a pH-weighted amine chemical exchange saturation transfer spin-and-gradient-echo echoplanar imaging (CEST-SAGE-EPI) and dynamic s...

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Autores principales:	Akifumi Hagiwara, Jingwen Yao, Catalina Raymond, Nicholas S. Cho, Richard Everson, Kunal Patel, Danielle H. Morrow, Brandon R. Desousa, Sergey Mareninov, Saewon Chun, David A. Nathanson, William H. Yong, Gafita Andrei, Ajit S. Divakaruni, Noriko Salamon, Whitney B. Pope, Phioanh L. Nghiemphu, Linda M. Liau, Timothy F. Cloughesy, Benjamin M. Ellingson
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Aerobic glycolysis amine CEST 18FDG-PET Glioblasoma Glioma IDH Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/3a999258d2bc481387426316d578c77d
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spelling	oai:doaj.org-article:3a999258d2bc481387426316d578c77d2021-11-22T04:25:00Z“Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging2213-158210.1016/j.nicl.2021.102882https://doaj.org/article/3a999258d2bc481387426316d578c77d2021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2213158221003260https://doaj.org/toc/2213-1582Purpose: To quantify abnormal metabolism of diffuse gliomas using “aerobic glycolytic imaging” and investigate its biological correlation. Methods: All subjects underwent a pH-weighted amine chemical exchange saturation transfer spin-and-gradient-echo echoplanar imaging (CEST-SAGE-EPI) and dynamic susceptibility contrast perfusion MRI. Relative oxygen extraction fraction (rOEF) was estimated as the ratio of reversible transverse relaxation rate R2′ to normalized relative cerebral blood volume. An aerobic glycolytic index (AGI) was derived by the ratio of pH-weighted image contrast (MTRasym at 3.0 ppm) to rOEF. AGI was compared between different tumor types (N = 51, 30 IDH mutant and 21 IDH wild type). Metabolic MR parameters were correlated with 18F-FDG uptake (N = 8, IDH wild-type glioblastoma), expression of key glycolytic proteins using immunohistochemistry (N = 38 samples, 21 from IDH mutant and 17 from IDH wild type), and bioenergetics analysis on purified tumor cells (N = 7, IDH wild-type high grade). Results: AGI was significantly lower in IDH mutant than wild-type gliomas (0.48 ± 0.48 vs. 0.70 ± 0.48; P = 0.03). AGI was strongly correlated with 18F-FDG uptake both in non-enhancing tumor (Spearman, ρ = 0.81; P = 0.01) and enhancing tumor (ρ = 0.81; P = 0.01). AGI was significantly correlated with glucose transporter 3 (ρ = 0.71; P = 0.004) and hexokinase 2 (ρ = 0.73; P = 0.003) in IDH wild-type glioma, and monocarboxylate transporter 1 (ρ = 0.59; P = 0.009) in IDH mutant glioma. Additionally, a significant correlation was found between AGI derived from bioenergetics analysis and that estimated from MRI (ρ = 0.79; P = 0.04). Conclusion: AGI derived from molecular MRI was correlated with glucose uptake (18F-FDG and glucose transporter 3/hexokinase 2) and cellular AGI in IDH wild-type gliomas, whereas AGI in IDH mutant gliomas appeared associated with monocarboxylate transporter density.Akifumi HagiwaraJingwen YaoCatalina RaymondNicholas S. ChoRichard EversonKunal PatelDanielle H. MorrowBrandon R. DesousaSergey MareninovSaewon ChunDavid A. NathansonWilliam H. YongGafita AndreiAjit S. DivakaruniNoriko SalamonWhitney B. PopePhioanh L. NghiemphuLinda M. LiauTimothy F. CloughesyBenjamin M. EllingsonElsevierarticleAerobic glycolysisamine CEST18FDG-PETGlioblasomaGliomaIDHComputer applications to medicine. Medical informaticsR858-859.7Neurology. Diseases of the nervous systemRC346-429ENNeuroImage: Clinical, Vol 32, Iss , Pp 102882- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Aerobic glycolysis amine CEST 18FDG-PET Glioblasoma Glioma IDH Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429
spellingShingle	Aerobic glycolysis amine CEST 18FDG-PET Glioblasoma Glioma IDH Computer applications to medicine. Medical informatics R858-859.7 Neurology. Diseases of the nervous system RC346-429 Akifumi Hagiwara Jingwen Yao Catalina Raymond Nicholas S. Cho Richard Everson Kunal Patel Danielle H. Morrow Brandon R. Desousa Sergey Mareninov Saewon Chun David A. Nathanson William H. Yong Gafita Andrei Ajit S. Divakaruni Noriko Salamon Whitney B. Pope Phioanh L. Nghiemphu Linda M. Liau Timothy F. Cloughesy Benjamin M. Ellingson “Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging
description	Purpose: To quantify abnormal metabolism of diffuse gliomas using “aerobic glycolytic imaging” and investigate its biological correlation. Methods: All subjects underwent a pH-weighted amine chemical exchange saturation transfer spin-and-gradient-echo echoplanar imaging (CEST-SAGE-EPI) and dynamic susceptibility contrast perfusion MRI. Relative oxygen extraction fraction (rOEF) was estimated as the ratio of reversible transverse relaxation rate R2′ to normalized relative cerebral blood volume. An aerobic glycolytic index (AGI) was derived by the ratio of pH-weighted image contrast (MTRasym at 3.0 ppm) to rOEF. AGI was compared between different tumor types (N = 51, 30 IDH mutant and 21 IDH wild type). Metabolic MR parameters were correlated with 18F-FDG uptake (N = 8, IDH wild-type glioblastoma), expression of key glycolytic proteins using immunohistochemistry (N = 38 samples, 21 from IDH mutant and 17 from IDH wild type), and bioenergetics analysis on purified tumor cells (N = 7, IDH wild-type high grade). Results: AGI was significantly lower in IDH mutant than wild-type gliomas (0.48 ± 0.48 vs. 0.70 ± 0.48; P = 0.03). AGI was strongly correlated with 18F-FDG uptake both in non-enhancing tumor (Spearman, ρ = 0.81; P = 0.01) and enhancing tumor (ρ = 0.81; P = 0.01). AGI was significantly correlated with glucose transporter 3 (ρ = 0.71; P = 0.004) and hexokinase 2 (ρ = 0.73; P = 0.003) in IDH wild-type glioma, and monocarboxylate transporter 1 (ρ = 0.59; P = 0.009) in IDH mutant glioma. Additionally, a significant correlation was found between AGI derived from bioenergetics analysis and that estimated from MRI (ρ = 0.79; P = 0.04). Conclusion: AGI derived from molecular MRI was correlated with glucose uptake (18F-FDG and glucose transporter 3/hexokinase 2) and cellular AGI in IDH wild-type gliomas, whereas AGI in IDH mutant gliomas appeared associated with monocarboxylate transporter density.
format	article
author	Akifumi Hagiwara Jingwen Yao Catalina Raymond Nicholas S. Cho Richard Everson Kunal Patel Danielle H. Morrow Brandon R. Desousa Sergey Mareninov Saewon Chun David A. Nathanson William H. Yong Gafita Andrei Ajit S. Divakaruni Noriko Salamon Whitney B. Pope Phioanh L. Nghiemphu Linda M. Liau Timothy F. Cloughesy Benjamin M. Ellingson
author_facet	Akifumi Hagiwara Jingwen Yao Catalina Raymond Nicholas S. Cho Richard Everson Kunal Patel Danielle H. Morrow Brandon R. Desousa Sergey Mareninov Saewon Chun David A. Nathanson William H. Yong Gafita Andrei Ajit S. Divakaruni Noriko Salamon Whitney B. Pope Phioanh L. Nghiemphu Linda M. Liau Timothy F. Cloughesy Benjamin M. Ellingson
author_sort	Akifumi Hagiwara
title	“Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging
title_short	“Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging
title_full	“Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging
title_fullStr	“Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging
title_full_unstemmed	“Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging
title_sort	“aerobic glycolytic imaging” of human gliomas using combined ph-, oxygen-, and perfusion-weighted magnetic resonance imaging
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3a999258d2bc481387426316d578c77d
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“Aerobic glycolytic imaging” of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging

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