American Journal of Neuroradiology · 2009 · 87 citations · 16 references
MedicineOncologyRadiologyDiagnostic ImagingDiagnostic RadiologyTumor PathologyBrain ImagingBrain TumorsMagnetic Resonance ImagingMedical ImagingTumor CharacterizationTumor GradingBrain Tumor DiagnosisBrain Tumor PathologyComparative Diagnostic PerformanceDiagnostic Performance MetricsGlioblastoma PathologyHigh-resolution ImagingMcnemar's TestSusceptibility-weighted Imaging
BACKGROUND AND PURPOSE: It has been reported that high-resolution susceptibility-weighted imaging (HR-SWI) is a promising tool for assessing brain tumor characterization noninvasively. The purpose of this study was to determine the added value and diagnostic performance of HR-SWI for differentiating solitary enhancing brain lesions (SELs) by assessing intratumoral susceptibility signals (ITSSs). MATERIALS AND METHODS: Sixty-four consecutive patients with SELs, without previous surgery, were retrospectively reviewed. We performed 2 consensus reviews, by using conventional MR images alone and with adjunctive HR-SWI. We applied an ITSS grading system based on the degree of the ITSS. Then, we compared the presence and grade of the ITSSs among specific pathologic types of SELs. RESULTS: Two observers diagnosed tumor pathology accurately in 43 (67%) of 64 SELs after reviewing the conventional images alone and 50 (78%) of 64 SELs after reviewing the adjunctive HR-SWI (P = .016, McNemar test). ITSSs were seen in 25 (100%) of 25 glioblastoma multiformes (GBMs), in 2 (40%) of 5 anaplastic astrocytomas, and in 11 (73%) of 15 metastatic tumors. Although the ITSSs were unable to distinguish between GBMs and solitary metastatic tumors, differentiation between GBMs and solitary metastatic tumors was achieved (P = .01) by using a high ITSS degree (grade 3). Moreover, the ITSSs could discriminate high-grade gliomas from lymphomas and nontumorous lesions with a specificity of 100% (P < .0001). CONCLUSIONS: The use of ITSSs on HR-SWIs significantly improves the accuracy for the differential diagnosis of SELs compared with the use of conventional MR imaging alone.
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Susceptibility weighted imaging (SWI)
E. Mark Haacke, Yingbiao Xu, Yu‐Chung N. Cheng et al. · Magnetic Resonance in Medicine · 2004 · 1.6K citations
Gliomas: classification with MR imaging.
Bruce L. Dean, B P Drayer, C R Bird et al. · Radiology · 1990 · 260 citations
Magnetic susceptibility-weighted MR phase imaging of the human brain.
Alexander Rauscher, Jan Sedlacik, Markus Barth et al. · PubMed · 2005 · 227 citations · Full text
Medicine, Neuroscience, Radiology +17