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Comparison of DSC-MRI post-processing techniques in predicting microvascular histopathology in patients newly diagnosed with GBM
- Source :
- Journal of magnetic resonance imaging : JMRI, vol 38, iss 2
- Publication Year :
- 2013
- Publisher :
- eScholarship, University of California, 2013.
-
Abstract
- PurposeTo evaluate which common post-processing method applied to gradient-echo DSC-MRI data, acquired with a single gadolinium injection and low flip-angle, most accurately reflects microvascular histopathology for patients with de novo, treatment-naive glioblastoma multiforme (GBM).Materials and methodsSeventy-two tissue samples were collected from 35 patients with treatment-naive GBM. Sample locations were co-registered to preoperative gradient-echo dynamic susceptibility contrast (DSC) MRI acquired with 35° flip-angle and 0.1 mmol/kg gadolinium. Estimates of blood volume and leakiness at each sample location were calculated using four common postprocessing methods (leakage-corrected nonlinear gamma-variate, non-parametric, scaled MR-signal, and unscaled MR-signal). Tissue sample microvascular morphology was characterized using Factor VIII immunohistochemical analysis. A random-effects regression model, adjusted for repeated measures and contrast-enhancement (CE), identified whether MR parameter estimates significantly predicted IHC findings.ResultsElevated blood volume estimates from nonlinear and non-parametric methods significantly predicted increased microvascular hyperplasia. Abnormal microvasculature existed beyond the CE-lesion and was significantly reflected by increased blood volume from nonlinear, non-parametric, and scaled MR-signal analysis.ConclusionThis study provides histopathological support for both non-parametric and nonlinear post-processing of low flip-angle DSC-MRI for characterizing microvascular hyperplasia within GBM. Non-parametric analysis with a single gadolinium injection may be a particularly useful strategy clinically, as it requires less computational expense and limits gadolinium exposure.
- Subjects :
- Adult
Male
low flip angle
Sensitivity and Specificity
Medical and Health Sciences
Computer-Assisted
Rare Diseases
Engineering
microvascular histopathology
80 and over
Humans
Image Interpretation
Aged
Cancer
Brain Neoplasms
Neurosciences
Reproducibility of Results
Cerebral Arteries
Middle Aged
DSC post-processing
Image Enhancement
Magnetic Resonance Imaging
Brain Disorders
Brain Cancer
Nuclear Medicine & Medical Imaging
Microvessels
Physical Sciences
Biomedical Imaging
Female
perfusion MRI
Glioblastoma
tissue sample
Algorithms
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Journal of magnetic resonance imaging : JMRI, vol 38, iss 2
- Accession number :
- edsair.od.......325..080d0e69aa85a61f79933a9e28651475