Repeatability of Cerebral Perfusion Using Dynamic Susceptibility Contrast MRI in Glioblastoma Patients
Year: 2015
Type: article
Study design: Observational Study
Abstract: OBJECTIVES: This study evaluates the repeatability of brain perfusion using dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) with a variety of post-processing methods. METHODS: Thirty-two patients with newly diagnosed glioblastoma were recruited. On a 3-T MRI using a dual-echo, gradient-echo spin-echo DSC-MRI protocol, the patients were scanned twice 1 to 5 days apart. Perfusion maps including cerebral blood volume (CBV) and cerebral blood flow (CBF) were generated using two contrast agent leakage correction methods, along with testing normalization to reference tissue, and application of arterial input function (AIF). Repeatability of CBV and CBF within tumor regions and healthy tissues, identified by structural images, was assessed with intra-class correlation coefficients (ICCs) and repeatability coefficients (RCs). Coefficients of variation (CVs) were reported for selected methods. RESULTS: CBV and CBF were highly repeatable within tumor with ICC values up to 0.97. However, both CBV and CBF showed lower ICCs for healthy cortical tissues (up to 0.83), healthy gray matter (up to 0.95), and healthy white matter (WM; up to 0.93). The values of CV ranged from 6% to 10% in tumor and 3% to 11% in healthy tissues. The values of RC relative to the mean value of measurement within healthy WM ranged from 22% to 42% in tumor and 7% to 43% in healthy tissues. These percentages show how much variation in perfusion parameter, relative to that in healthy WM, we expect to observe to consider it statistically significant. We also found that normalization improved repeatability, but AIF deconvolution did not. CONCLUSIONS: DSC-MRI is highly repeatable in high-grade glioma patients.
Source: Translational Oncology
Institutions: Harvard University, Massachusetts General Hospital, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts Institute of Technology, Oslo University Hospital, University of Oslo, Medical College of Wisconsin, Georgia Institute of Technology, Center for Neuro-Oncology, Dana-Farber Cancer Institute
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,390
Awards: A Phase 2 study of AZD2171 in Recurrent Glioblastoma, G2106774427, G2496518617, G2661966628, Quantitative (Perfusion and Diffusion) MRI Biomarkers to Measure Glioma Response, Harvard Clinical and Translational Science Center (UL1), General Clinical Research Center, G3611619042, G3615943839, G3740841103, G393103480, G3981800229, Quantitative MRI of Glioblastoma Response, G46759241, G4747422460, G5234771832, Toward Multi-Center MR Brain Perfusion, G5951978559, Clinical and Molecular Studies of Malignant Brain Tumors, G6424384527, G668207740, G7060033699, G7603022272, MRI Contrast Agent Methods to Assess Tumor Angiogenesis, Harvard Clinical and Translational Science Center, Angiogenesis-targeting therapy for glioblastoma, Functional Connectivity of Intrinsic Brain Activity for Presurgical Mapping, A Storage Area Network for Structural and Functional Image Analysis, G881343144, G8820111936, G8881025801, G9000072272, Silicon Graphics Prism Extreme 128P/1TB, Quantitative MRI-based metrics for multi-center stroke treatment assessment
OpenAlex ID: W2132856931
