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Chemical exchange saturation transfer MRI serves as predictor of early progression in glioblastoma patients

PURPOSE: To prospectively investigate chemical exchange saturation transfer (CEST) MRI in glioblastoma patients as predictor of early tumor progression after first-line treatment. EXPERIMENTAL DESIGN: Twenty previously untreated glioblastoma patients underwent CEST MRI employing a 7T whole-body scan...

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Detalles Bibliográficos
Autores principales: Regnery, Sebastian, Adeberg, Sebastian, Dreher, Constantin, Oberhollenzer, Johanna, Meissner, Jan-Eric, Goerke, Steffen, Windschuh, Johannes, Deike-Hofmann, Katerina, Bickelhaupt, Sebastian, Zaiss, Moritz, Radbruch, Alexander, Bendszus, Martin, Wick, Wolfgang, Unterberg, Andreas, Rieken, Stefan, Debus, Jürgen, Bachert, Peter, Ladd, Mark, Schlemmer, Heinz-Peter, Paech, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6033360/
https://www.ncbi.nlm.nih.gov/pubmed/29983895
http://dx.doi.org/10.18632/oncotarget.25594
Descripción
Sumario:PURPOSE: To prospectively investigate chemical exchange saturation transfer (CEST) MRI in glioblastoma patients as predictor of early tumor progression after first-line treatment. EXPERIMENTAL DESIGN: Twenty previously untreated glioblastoma patients underwent CEST MRI employing a 7T whole-body scanner. Nuclear Overhauser effect (NOE) as well as amide proton transfer (APT) CEST signals were isolated using Lorentzian difference (LD) analysis and relaxation compensated by the apparent exchange-dependent relaxation rate (AREX) evaluation. Additionally, NOE-weighted asymmetric magnetic transfer ratio (MTRasym) and downfield-NOE-suppressed APT (dns-APT) were calculated. Patient response to consecutive treatment was determined according to the RANO criteria. Mean signal intensities of each contrast in the whole tumor area were compared between early-progressive and stable disease. RESULTS: Pre-treatment tumor signal intensity differed significantly regarding responsiveness to first-line therapy in NOE-LD (p = 0.0001), NOE-weighted MTRasym (p = 0.0186) and dns-APT (p = 0.0328) contrasts. Hence, significant prediction of early progression was possible employing NOE-LD (AUC = 0.98, p = 0.0005), NOE-weighted MTRasym (AUC = 0.83, p = 0.0166) and dns-APT (AUC = 0.80, p = 0.0318). The NOE-LD provided the highest sensitivity (91%) and specificity (100%). CONCLUSIONS: CEST derived contrasts, particularly NOE-weighted imaging and dns-APT, yielded significant predictors of early progression after fist-line therapy in glioblastoma. Therefore, CEST MRI might be considered as non-invasive tool for customization of treatment in the future.