Literature DB >> 32068505

Quantitative Dynamic Oxygen 17 MRI at 7.0 T for the Cerebral Oxygen Metabolism in Glioma.

Daniel Paech1, Armin M Nagel1, Miriam N Schultheiss1, Reiner Umathum1, Sebastian Regnery1, Moritz Scherer1, Antje Wick1, Tanja Platt1, Wolfgang Wick1, Martin Bendszus1, Andreas Unterberg1, Heinz-Peter Schlemmer1, Mark E Ladd1, Sebastian C Niesporek1.   

Abstract

Background Altered metabolism is a characteristic of cancer. Because of a shift in glucose metabolism from oxidative phosphorylation to lactate production for energy generation, malignant tumors are characterized by increased glycolysis followed by lactic acid fermentation, even in the presence of abundant oxygen (the Warburg effect). Purpose To quantitatively investigate dynamic oxygen 17 (17O) MRI in healthy participants and participants with untreated glioma to understand altered cerebral oxygen metabolism in glioma. Materials and Methods In this prospective study conducted from September 2016 to June 2018, individuals with newly diagnosed previously untreated glioma (World Health Organization grade II-IV) and healthy volunteers were included. Dynamic 17O MRI was performed with a 7.0-T whole-body system. 17O2 gas inhalation enabled dynamic measurement of the cerebral metabolic rate of oxygen (CMRO2) consumption. In healthy volunteers and participants with glioma, CMRO2 values in gray matter and white matter volumes were compared by using Wilcoxon signed rank tests. In participants with glioma, the tumor volume and tumor subcompartments were compared with normal-appearing gray matter and white matter by using Friedman test followed by Holm-Sidak post hoc tests. Results Ten participants (mean age, 42 years ± 18 [standard deviation]; nine men) with glioma and three healthy volunteers (mean age, 44 years ± 21; all men) were evaluated. CMRO2 was higher in normal-appearing gray matter compared with white matter in both participants with glioma (2.36 μmol/g/min ± 0.22 vs 0.75 μmol/g/min ± 0.10, respectively) and healthy volunteers (2.38 μmol/g/min ± 0.15 vs 0.63 μmol/g/min ± 0.05, respectively) (P < .001 and P = .03, respectively). In the tumor region, CMRO2 was reduced (high-grade tumor CMRO2, 0.23 μmol/g/min ± 0.07; low-grade tumor CMRO2, 0.39 μmol/g/min ± 0.16; overall CMRO2, 0.34 μmol/g/min ± 0.16) compared with normal-appearing gray matter (P < .001) and normal-appearing white matter (P < .001) in accordance with the Warburg theorem. Conclusion Dynamic oxygen 17 MRI method at 7.0 T as a direct metabolic imaging technique in glioma enabled quantitative visualization of the Warburg effect. A general reduction in oxidative glycolysis was observed in accordance with the Warburg theorem. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Rapalino in this issue.

Entities:  

Year:  2020        PMID: 32068505     DOI: 10.1148/radiol.2020191711

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  13 in total

Review 1.  The future of MRI in radiation therapy: Challenges and opportunities for the MR community.

Authors:  Rosie J Goodburn; Marielle E P Philippens; Thierry L Lefebvre; Aly Khalifa; Tom Bruijnen; Joshua N Freedman; David E J Waddington; Eyesha Younus; Eric Aliotta; Gabriele Meliadò; Teo Stanescu; Wajiha Bano; Ali Fatemi-Ardekani; Andreas Wetscherek; Uwe Oelfke; Nico van den Berg; Ralph P Mason; Petra J van Houdt; James M Balter; Oliver J Gurney-Champion
Journal:  Magn Reson Med       Date:  2022-09-21       Impact factor: 3.737

Review 2.  Cerebral oxygen extraction fraction MRI: Techniques and applications.

Authors:  Dengrong Jiang; Hanzhang Lu
Journal:  Magn Reson Med       Date:  2022-05-05       Impact factor: 3.737

3.  Ultra-High-Field MRI in the Diagnosis and Management of Gliomas: A Systematic Review.

Authors:  Annabelle Shaffer; Susanna S Kwok; Anant Naik; Aaron T Anderson; Fan Lam; Tracey Wszalek; Paul M Arnold; Wael Hassaneen
Journal:  Front Neurol       Date:  2022-04-05       Impact factor: 4.003

4.  Quantification of H217O by 1H-MR imaging at 3 T: a feasibility study.

Authors:  Luis Martí-Bonmatí; Alejandro Rodríguez-Ortega; Amadeo Ten-Esteve; Ángel Alberich-Bayarri; Bernardo Celda; Eduardo Ferrer
Journal:  Eur Radiol Exp       Date:  2021-12-29

Review 5.  The potential of advanced MR techniques for precision radiotherapy of glioblastoma.

Authors:  Patrick L Y Tang; Alejandra Méndez Romero; Jaap P M Jaspers; Esther A H Warnert
Journal:  MAGMA       Date:  2022-02-07       Impact factor: 2.310

6.  "Aerobic glycolytic imaging" of human gliomas using combined pH-, oxygen-, and perfusion-weighted magnetic resonance imaging.

Authors:  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
Journal:  Neuroimage Clin       Date:  2021-11-12       Impact factor: 4.881

Review 7.  [Perspectives of X-nuclei magnetic resonance imaging in neuro-oncology].

Authors:  Sebastian Regnery; Tanja Platt
Journal:  Radiologe       Date:  2021-01       Impact factor: 0.635

8.  Relative oxygen extraction fraction (rOEF) MR imaging reveals higher hypoxia in human epidermal growth factor receptor (EGFR) amplified compared with non-amplified gliomas.

Authors:  Talia C Oughourlian; Jingwen Yao; Akifumi Hagiwara; David A Nathanson; Catalina Raymond; Whitney B Pope; Noriko Salamon; Albert Lai; Matthew Ji; Phioanh L Nghiemphu; Linda M Liau; Timothy F Cloughesy; Benjamin M Ellingson
Journal:  Neuroradiology       Date:  2020-10-26       Impact factor: 2.995

9.  The U2AF2 /circRNA ARF1/miR-342-3p/ISL2 feedback loop regulates angiogenesis in glioma stem cells.

Authors:  Yang Jiang; Jinpeng Zhou; Junshuang Zhao; Haiying Zhang; Long Li; Hao Li; Lian Chen; Jiangfeng Hu; Wei Zheng; Zhitao Jing
Journal:  J Exp Clin Cancer Res       Date:  2020-09-07

10.  Physiological MRI Biomarkers in the Differentiation Between Glioblastomas and Solitary Brain Metastases.

Authors:  Elisabeth Heynold; Max Zimmermann; Nirjhar Hore; Michael Buchfelder; Arnd Doerfler; Andreas Stadlbauer; Natalia Kremenevski
Journal:  Mol Imaging Biol       Date:  2021-04-23       Impact factor: 3.488

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