Normalized CT perfusion maps from 62 SAH patients

Aneurysmal subarachnoid hemorrhage (SAH) is a severe condition that triggers numerous metabolic disruptions and complications. While the exact mechanisms implied in this cascade of events are still being investigated, monitoring cerebral perfusion seems critical to understand and prevent the occurrence of secondary deficits such as delayed cerebral ischemia (DCI). The present dataset was built within the framework of a retrospective observational study in SAH patients. Sixty-two patients were included. Clinical information at admission, aneurysm details, neurological events, and rescue treatments were collected. Of note, within this study population, 33% of patients were classified as WFNS III-V. Cerebral vasospasm (CVS) occurrence was 68%, and that of DCI was 15%. Overall, 873 CT perfusion parametric maps (TMAX, MTT, CBF) were collected and preprocessed. In particular, all data were normalized to the MNI (Montreal Neurological Institute) standardized space that allows precise within and between-subject analyses. Normalized cerebral perfusion maps can also be analyzed in specific anatomical or arterial regions of interest using the relevant segmentation templates. In this project, we developed an image processing pipeline that allowed quantitative analysis of CTP parameters' dynamics.