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.