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Imaging of Primary Brain Tumors and Metastases with Fast Quantitative 3‐Dimensional Magnetization Transfer
Author(s) -
Garcia Meritxell,
Gloor Monika,
Bieri Oliver,
Radue ErnstWilhelm,
Lieb Johanna M.,
Cordier Dominik,
Stippich Christoph
Publication year - 2015
Publication title -
journal of neuroimaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.822
H-Index - 64
eISSN - 1552-6569
pISSN - 1051-2284
DOI - 10.1111/jon.12222
Subject(s) - magnetization transfer , medicine , nuclear medicine , hyperintensity , magnetic resonance imaging , t2 relaxation , brain tumor , glioma , glioblastoma , pathology , radiology , cancer research
BACKGROUND AND PURPOSE This study assesses whether magnetization transfer (MT) imaging provides additive information to conventional MRI in brain tumors. METHODS MT data of 26 patients with neoplastic and metastatic brain tumors were analyzed at 1.5 T. For the 3 largest tumor groups investigated in this study—glioblastoma multiforme (GBM), meningiomas, and metastases—statistical comparisons were performed. Analyzed MT parameters included the magnetization transfer ratio (MTR) and 4 quantitative MT parameters (qMT): Relaxation times (T1, T2), exchange rate (kf), and macromolecular content (F). Total imaging time of high‐resolution whole brain MTR and qMT imaging with balanced steady‐state free precession required 9 minutes. Five ROIs were chosen: Contrast‐enhancing (T1W‐CE), noncontrast‐enhancing (T1W‐non‐CE), proximal hyperintensity (T2W‐pSI), distal hyperintensity (T2W‐dSI), and a reference (ref). RESULTS Pathologies showed significant ( P < .05) MT changes (MTR and qMT) compared to the reference. The T1W‐CE, T1W‐non‐CE, and T2W‐pSI ROIs of GBMs, meningiomas, and metastases showed significant differences in MTR and qMT estimates. Similar MTR with significant different qMT values were observed in several ROIs among different lesions. MT maps (MTR and qMT) indicated changes in tissue appearing unaffected on MRI in most glial tumors. CONCLUSIONS MTR and qMT imaging enables a better differentiation between brain tumors and provides additive information to MRI.

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