2011
DOI: 10.3174/ajnr.a2333
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Differentiation between Glioblastomas, Solitary Brain Metastases, and Primary Cerebral Lymphomas Using Diffusion Tensor and Dynamic Susceptibility Contrast-Enhanced MR Imaging

Abstract: BACKGROUND AND PURPOSE: Glioblastomas, brain metastases, and PCLs may have similar enhancement patterns on MR imaging, making the differential diagnosis difficult or even impossible. The purpose of this study was to determine whether a combination of DTI and DSC can assist in the differentiation of glioblastomas, solitary brain metastases, and PCLs.

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Cited by 161 publications
(167 citation statements)
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“…[26][27] The ROIs were drawn and chosen in agreement by the 2 readers, thereby reducing any interobserver variability. The commonly used rCBV max parameter 28 …”
Section: Image Processingmentioning
confidence: 99%
“…[26][27] The ROIs were drawn and chosen in agreement by the 2 readers, thereby reducing any interobserver variability. The commonly used rCBV max parameter 28 …”
Section: Image Processingmentioning
confidence: 99%
“…3,5,8 DWI research demonstrated that the mean minimum ADC values and mean ADC ratios in the peritumoral regions of GBM were significantly higher than those in MET. 10 With PWI, most of the studies showed that the CBV of GBM was significantly higher than in MET, either in the peritumoral region [11][12][13] or in the enhanced region.…”
mentioning
confidence: 99%
“…2,3 Therefore, it is thought to be very difficult to distinguish between these 2 types of tumors with routine MR imaging alone. [4][5][6] Many studies have focused on other advanced MR imaging modalities, such as DTI, 3,5,7,8 DWI, 9,10 PWI, 6,[11][12][13][14][15][16] and MR spectroscopy, 17 to explore the differentiating characteristics.…”
mentioning
confidence: 99%
“…Wang and coworkers reported recently that quantitative diffusion parameters obtained by DTI allow separation of glioblastomas from brain metastates and primary lymphomas. 36 Incorporation of DWI into oncology MRI protocols has prompted the need for quantitative images rather than observer …”
Section: Diffusion Mr For Cancer Imaging: Improved Treatment Monitoringmentioning
confidence: 99%