TY - JOUR
AU - Regnery, Sebastian
AU - Adeberg, Sebastian
AU - Dreher, Constantin
AU - Oberhollenzer, Johanna
AU - Meissner, Jan-Eric
AU - Goerke, Steffen
AU - Windschuh, Johannes
AU - Deike-Hofmann, Katerina
AU - Bickelhaupt, Sebastian
AU - Zaiss, Moritz
AU - Radbruch, Alexander
AU - Bendszus, Martin
AU - Wick, Wolfgang
AU - Unterberg, Andreas
AU - Rieken, Stefan
AU - Debus, Jürgen
AU - Bachert, Peter
AU - Ladd, Mark
AU - Schlemmer, Heinz-Peter
AU - Paech, Daniel
TI - Chemical exchange saturation transfer MRI serves as predictor of early progression in glioblastoma patients.
JO - OncoTarget
VL - 9
IS - 47
SN - 1949-2553
CY - [S.l.]
PB - Impact Journals LLC
M1 - DKFZ-2019-00743
SP - 28772-28783
PY - 2018
AB - To prospectively investigate chemical exchange saturation transfer (CEST) MRI in glioblastoma patients as predictor of early tumor progression after first-line treatment.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.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
LB - PUB:(DE-HGF)16
C6 - pmid:29983895
C2 - pmc:PMC6033360
DO - DOI:10.18632/oncotarget.25594
UR - https://inrepo02.dkfz.de/record/143134
ER -