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Sixty-six patients with brain tumors were evaluated with resting-state fMRI using seed-based analysis of hand and orofacial motor regions. Rates of supplementary motor area localization were compared with those in healthy controls and with localization results by task-based fMRI. Localization of the supplementary motor area using hand motor seed regions was more effective than seeding using orofacial motor regions for both patients with brain tumor and controls. Bilateral hand motor seeding was superior to unilateral hand motor seeding in patients with brain tumor for either side. The authors conclude that in addition to task-based fMRI, seed-based analysis of resting-state fMRI represents an equally effective method for supplementary motor area localization in patients with brain tumors, with the best results obtained with bilateral hand motor region seeding.

From January 2013 to January 2016, fifty-five consecutive patients with histopathologically proved lymphomas, glioblastomas, and metastases were included in this study after undergoing MR imaging. The perfusion parameters (maximum relative CBV, maximum percentage of signal intensity recovery) and spectroscopic concentration ratios (lactate/Cr, Cho/NAA, Cho/Cr, and lipids/Cr) were analyzed individually and in optimal combinations. The highest differential diagnostic performance was obtained with the following combined classifiers: 1) maximum percentage of signal intensity recovery-Cho/NAA to discriminate lymphomas from glioblastomas and metastases; 2) relative CBV-Cho/NAA to discriminate glioblastomas from lymphomas and metastases; and 3) maximum percentage of signal intensity recovery-lactate/Cr and maximum percentage of signal intensity recovery-Cho/Cr to discriminate metastases from lymphomas and glioblastomas. The authors conclude that spectroscopy yielded an added performance value to perfusion using optimal combined classifiers of these modalities.