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Synthetic generation of DSC‐MRI‐derived relative CBV maps from DCE MRI of brain tumors
Author(s) -
Sanders Jeremiah W.,
Chen Henry SzuMeng,
Johnson Jason M.,
Schomer Donald F.,
Jimenez Jorge E.,
Ma Jingfei,
Liu HoLing
Publication year - 2021
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.28432
Subject(s) - cerebral blood volume , white matter , magnetic resonance imaging , nuclear medicine , perfusion , gadolinium , contrast (vision) , medicine , perfusion scanning , radiology , chemistry , computer science , artificial intelligence , organic chemistry
Purpose Perfusion MRI with gadolinium‐based contrast agents is useful for diagnosis and treatment response evaluation of brain tumors. Dynamic susceptibility contrast (DSC) MRI and dynamic contrast enhanced (DCE) MRI are two gadolinium‐based contrast agent perfusion imaging techniques that provide complementary information about the tumor vasculature. However, each requires a separate administration of a gadolinium‐based contrast agent. The purpose of this retrospective study was to determine the feasibility of synthesizing relative cerebral blood volume (rCBV) maps, as computed from DSC MRI, from DCE MRI of brain tumors. Methods One hundred nine brain‐tumor patients underwent both DCE and DSC MRI. Relative CBV maps were computed from the DSC MRI, and blood plasma volume fraction maps were computed from the DCE MRIs. Conditional generative adversarial networks were developed to synthesize rCBV maps from the DCE MRIs. Tumor–to–white matter ratios were calculated from real rCBV, synthetic rCBV, and plasma volume fraction maps and compared using correlation analysis. Real and synthetic rCBV in white and gray matter regions were also compared. Results Pearson correlation analysis showed that both the tumor rCBV and tumor–to–white matter ratios in the synthetic and real rCBV maps were strongly correlated (ρ = 0.87, P < .05 and ρ = 0.86, P < .05, respectively). Tumor plasma volume fraction and real rCBV were not strongly correlated (ρ = 0.47). Bland‐Altman analysis showed a mean difference between the synthetic and real rCBV tumor–to–white matter ratios of 0.20 with a 95% confidence interval of ±0.47. Conclusion Realistic rCBV maps can be synthesized from DCE MRI and contain quantitative information, enabling robust brain‐tumor perfusion imaging of DSC and DCE parameters with a single gadolinium‐based contrast agent administration.