Permeability measurement using dynamic susceptibility contrast magnetic resonance imaging enhances differential diagnosis of primary central nervous system lymphoma from glioblastoma.
cross_sectional · Level IV
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- Also identified by DOI 10.1007/s00330-019-06097-9.
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Abstract
To test if adding permeability measurement to perfusion obtained from dynamic susceptibility contrast MRI (DSC-MRI) improves diagnostic performance in the differentiation of primary central nervous system lymphoma (PCNSL) from glioblastoma. DSC-MRI was acquired in 145 patients with pathologically proven glioblastoma (n = 89) or PCNSL (n = 56). The permeability metrics of contrast agent extraction fraction (E<sub>x</sub>), apparent permeability (K<sub>a</sub>), and leakage-corrected perfusion of normalized cerebral blood volume (nCBV<sub>res</sub>) and cerebral blood flow (nCBF<sub>res</sub>) were derived from a tissue residue function. For comparison purposes, the leakage-corrected normalized CBV (nCBV) and relative permeability constant (K<sub>2</sub>) were also obtained using the established Weisskoff-Boxerman leakage correction method. The area under the receiver operating characteristics curve (AUC) and cross-validation were used to compare the diagnostic performance of the single DSC-MRI parameters with the performance obtained with the addition of permeability metrics. PCNSL demonstrated significantly higher permeability (E<sub>x</sub>, p < .001) and lower perfusion (nCBV<sub>res</sub>, nCBF<sub>res</sub>, and nCBV, all p < .001) than glioblastoma. The combination of E<sub>x</sub> and nCBV<sub>res</sub> showed the highest performance (AUC, 0.96; 95% confidence interval, 0.92-0.99) for differentiating PCNSL from glioblastoma, which was a significant improvement over the single perfusion (nCBV: AUC, 0.84; nCBV<sub>res</sub>: AUC, 0.84; nCBF<sub>res</sub>: AUC, 0.82; all p < .001) or E<sub>x</sub> (AUC, 0.80; p < .001) parameters. Analysis of the combined permeability and perfusion metrics obtained from a single DSC-MRI acquisition improves the diagnostic value for differentiating PCNSL from glioblastoma in comparison with single-parameter nCBV analysis. • Permeability measurement can be calculated from DSC-MRI with a tissue residue function-based leakage correction. • Adding E<sub>x</sub>to CBV aids in the differentiation of PCNSL from glioblastoma. • CBV and E<sub>x</sub>measurements from DSC-MRI were highly reproducible.
Medical subject headings
- Central Nervous System Neoplasms
- Glioblastoma
- Lymphoma, Non-Hodgkin