Quality control of 3D MRSI data in glioblastoma: Can we do without the experts?-Reference-Cited by-同舟云学术

Quality control of 3D MRSI data in glioblastoma: Can we do without the experts?

Published:2021-11-26 Issue:4 Volume:87 Page:1688-1699
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magnetic Resonance in Med

Author:

Tensaouti Fatima¹²^ORCID,Desmoulin Franck²,Gilhodes Julia³,Martin Elodie³^ORCID,Ken Soleakhena⁴,Lotterie Jean‐Albert²⁵,Noël Georges⁶,Truc Gilles⁷,Sunyach Marie‐Pierre⁸,Charissoux Marie⁹,Magné Nicolas¹⁰,Lubrano Vincent²,Péran Patrice²,Cohen‐Jonathan Moyal Elizabeth¹¹¹,Laprie Anne¹²

Affiliation:

1. Department of Radiation Oncology Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopôle Toulouse France

2. ToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS Toulouse France

3. Department of Biostatistics Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopôle Toulouse France

4. Department of Engineering and Medical Physics Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse—Oncopôle Toulouse France

5. Department of Nuclear Medicine CHU Toulouse Toulouse France

6. ICANS—Radiation Oncology Strasbourg Strasbourg France

7. Department of Radiation Oncology Centre Georges‐François Leclerc Dijon France

8. Department of Radiation Oncology Centre Léon‐Bérard Lyon France

9. Department of Radiation Oncology Institut du Cancer de Montpellier Montpellier France

10. Department of Radiation Oncology Institut de Cancérologie de la Loire Lucien Neuwirth Saint‐Priest‐en‐Jarez France

11. Inserm U1037—Centre de Recherches Contre le Cancer de Toulouse Toulouse France

Funder

Fondation pour la Recherche Médicale

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29098

Reference30 articles.

1. Proton Magnetic Resonance Spectroscopic Imaging in Newly Diagnosed Glioblastoma: Predictive Value for the Site of Postradiotherapy Relapse in a Prospective Longitudinal Study

2. Evaluation of Lactate as a Predictive Marker of Survival and Local Response to Radiation Therapy in Patients With GBM

3. Methodological consensus on clinical proton MRS of the brain: Review and recommendations

4. Integration method of 3D MR spectroscopy into treatment planning system for glioblastoma IMRT dose painting with integrated simultaneous boost

5. GurbaniSS CoulterWH ShimH et al.Machine learning enables the use of spectroscopic MRI to guide radiation therapy in patients with glioblastoma. A Dissertation Presented to The Academic Faculty in the Machine learning enables the use of spectroscopic MRI to guide radiation therapy in patients with glioblastoma. Published online 2019.

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