Background and Purpose
Indirect cerebral revascularization has been successfully used for treatment in moyamoya disease and symptomatic intracranial atherosclerosis. While angiographic neovascularization has been demonstrated after surgery, measurements of local tissue perfusion are scarce and may not reflect the reported successful clinical outcomes. We investigated probabilistic independent component analysis and conventional perfusion parameters from DSC-MRI to measure post-surgical changes in tissue perfusion.
Materials and Methods
In this prospective study, thirteen patients underwent unilateral indirect cerebral revascularization and received DSC-MRI before and after surgery. Conventional perfusion parameters (rCBV, rCBF, and TTP), and probabilistic independent components that reflect the relative contributions of DSC signals consistent with arterial, capillary, and venous hemodynamics were calculated and examined for significant changes after surgery. Results were compared to post-surgical DSA studies to determine whether changes in tissue perfusion were due to post-surgical neovascularization.
Results
Prior to surgery, tissue within the affected hemisphere demonstrated a high probability for hemodynamics consistent with venous flow and a low probability for hemodynamics consistent with arterial flow, whereas the contralateral control hemisphere demonstrated the reverse. Consistent with symptomatic improvement, the probability for venous hemodynamics within the affected hemisphere decreased with time after surgery (p = 0.002). No other perfusion parameters demonstrated this association. Post-surgical DSA revealed an association between an increased preoperative venous probability in the symptomatic hemisphere and neovascularization after surgery.
Conclusion
Probabilistic independent component analysis yielded sensitive measurements of changes in local tissue perfusion that may be associated with newly formed vasculature after indirect cerebral revascularization surgery.