HIRSCHLER, Lydiane, Nico SOLLMANN, Barbara SCHMITZ-ABECASSIS, Joana PINTO, Fatemehsadat ARZANFOROOSH, Frederik BARKHOF, Thomas BOOTH, Marta CALVO-IMIRIZALDU, Guilherme CASSIA, Marek CHMELIK, Patricia CLEMENT, Ece ERCAN, Maria A FERNANDEZ-SEARA, Julia FURTNER, Elies FUSTER-GARCIA, Matthew GRECH-SOLLARS, Nazmiye Tugay GUVEN, Gokce Hale HATAY, Golestan KARAMI, Vera C KEIL, Mina KIM, Johan A F KOEKKOEK, Simran KUKRAN, Laura MANCINI, Ruben Emanuel NECHIFOR, Alpay OEZCAN, Esin OZTURK-ISIK, Senol PISKIN, Kathleen SCHMAINDA, Siri F SVENSSON, Chih-Hsien TSENG, Saritha UNNIKRISHNAN, Frans VOS, Esther WARNERT, Moss Y ZHAO, Radim JANČÁLEK, Teresa NUNES, Kyrre E EMBLEM, Marion SMITS, Jan PETR and Gilbert HANGEL. Advanced MR Techniques for Preoperative Glioma Characterization: Part 1. Journal of Magnetic Resonance Imaging. Hoboken: Wiley, 2023, vol. 57, No 6, p. 1655-1675. ISSN 1053-1807. Available from: https://dx.doi.org/10.1002/jmri.28662.
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Basic information
Original name Advanced MR Techniques for Preoperative Glioma Characterization: Part 1
Authors HIRSCHLER, Lydiane, Nico SOLLMANN, Barbara SCHMITZ-ABECASSIS, Joana PINTO, Fatemehsadat ARZANFOROOSH, Frederik BARKHOF, Thomas BOOTH, Marta CALVO-IMIRIZALDU, Guilherme CASSIA, Marek CHMELIK, Patricia CLEMENT, Ece ERCAN, Maria A FERNANDEZ-SEARA, Julia FURTNER, Elies FUSTER-GARCIA, Matthew GRECH-SOLLARS, Nazmiye Tugay GUVEN, Gokce Hale HATAY, Golestan KARAMI, Vera C KEIL, Mina KIM, Johan A F KOEKKOEK, Simran KUKRAN, Laura MANCINI, Ruben Emanuel NECHIFOR, Alpay OEZCAN, Esin OZTURK-ISIK, Senol PISKIN, Kathleen SCHMAINDA, Siri F SVENSSON, Chih-Hsien TSENG, Saritha UNNIKRISHNAN, Frans VOS, Esther WARNERT, Moss Y ZHAO, Radim JANČÁLEK (203 Czech Republic, belonging to the institution), Teresa NUNES, Kyrre E EMBLEM, Marion SMITS, Jan PETR and Gilbert HANGEL (guarantor).
Edition Journal of Magnetic Resonance Imaging, Hoboken, Wiley, 2023, 1053-1807.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30210 Clinical neurology
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 4.400 in 2022
RIV identification code RIV/00216224:14110/23:00130699
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1002/jmri.28662
UT WoS 000942823900001
Keywords in English glioma; brain; preoperative; contrasts; GliMR 2; 0; level of clinical validation
Tags 14110131, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Tereza Miškechová, učo 341652. Changed: 30/1/2024 11:44.
Abstract
Preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, brain tumors with dismal outcomes due to their infiltrative properties, still rely on conventional structural MRI, which does not deliver information on tumor genotype and is limited in the delineation of diffuse gliomas. The GliMR COST action wants to raise awareness about the state of the art of advanced MRI techniques in gliomas and their possible clinical translation or lack thereof. This review describes current methods, limits, and applications of advanced MRI for the preoperative assessment of glioma, summarizing the level of clinical validation of different techniques. In this first part, we discuss dynamic susceptibility contrast and dynamic contrast-enhanced MRI, arterial spin labeling, diffusion-weighted MRI, vessel imaging, and magnetic resonance fingerprinting. The second part of this review addresses magnetic resonance spectroscopy, chemical exchange saturation transfer, susceptibility-weighted imaging, MRI-PET, MR elastography, and MR-based radiomics applications.Evidence Level: 3Technical Efficacy: Stage 2
PrintDisplayed: 17/7/2024 01:53