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  • NI-07 MAGNETIC RESONANCE FI...
    Badve, C.; Yu, A.; Ma, D.; Jiang, Y.; Deshmane, A.; Gulani, V.; Sunshine, J.; Sloan, A.; Griswold, M.

    Neuro-oncology (Charlottesville, Va.), 11/2014, Letnik: 16, Številka: suppl 5
    Journal Article

    BACKGROUND: Current MR imaging allows primarily qualitative distinctions between the signal intensities of various T1 or T2 weighted imaging paradigms. Magnetic Resonance Fingerprinting (MRF) represents a novel framework for simultaneous, and precise quantitation of multiple MR tissue properties. Here we assess the capability of MRF based T1 and T2 relaxometry to evaluate different types of intra-axial brain tumors. MATERIALS AND METHODS: 20 patients including 10 glioblastoma multiforme (GBM), 5 oligodendrogliomas (OG) and 5 metastases (METS) were scanned using a MRF protocol. Imaging was acquired through representative areas of brain and quantitative T1 and T2 maps were generated. T1 and T2 quantification of solid tumor component, immediate perilesional white matter (PWM) within 1 cm of enhancing margin, and contralateral white matter (CWM) was performed using ROI analysis. Student's t-test was used for statistical analysis. RESULTS: Solid tumor T1, T2 were distinct from T1, T2 of CWM (n = 20, p < 0.001). There were differences between T1, T2 of PWM of GBMs and METS as compared to their CWM (n = 15, p < 0.001, p < 0.001). Also, there were differences between the T1, T2 of both the solid and PWM regions of GBMs and METS (p < 0.01; p < 0.05 respectively). T2 relaxometry revealed difference between GBMs and OGs (p < 0.02). CONCLUSIONS: MRF can simultaneously measure T1, T2 values of brain tumors and surrounding tissues distinguishing various tumor types and their associated PWM changes from CWM with high statistical significance. Preliminary data supports using MRF to identify regions of infiltrative edema in GBM, and differentiation of tumor types and grades. Statement of Clinical Relevance: Our preliminary data suggests MRF may have a role in non-invasively distinguishing various types intracranial masses, delineate tumor margins, and possibly characterize therapeutic response.