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 an..., , , # Normalized CT perfusion maps from 62 SAH patients

https://doi.org/10.5061/dryad.0zpc86784

CONTRIBUTORS:

-Alexandre Kobbai

-Quentin Mesnildrey (corresponding author: quentin.mesnildrey@chu-montpellier.fr)

-Vivien Szabo

-Kévin Chalard

RESEARCH SCOPE:

Evolution of cerebral perfusion in patients diagnosed with aneurysmal subarachnoid hemorrhage.

Description of the data and file structure

This dataset includes:

873 preprocessed CT perfusion maps (TMAX, CBF, MTT) acquired in 62 patients diagnosed with aSAH.

Data were initially acquired using GE Medical Systems device (24-slice scanner, GE Healthcare, Milwaukee, Wisconsin) with a slice thickness of 5mm.

Parametric maps were computed using Perfusion_4D software (General Electric, revo_ct_22bc.50). The basilar artery was manually selected as the arterial input function and the venous outflow was automatically determined by the..., The present dataset does not contain any patient-related information. Subject identifiers are arbitrary; name, sex, and date of exam were removed from the metadata. Exam dates provided in the CTP_exam_dates.json file represent the delay relative to the initial SAH symptoms. All data were acquired in accordance with French ethics and regulations regarding patients' information, consent, data curation, and publication.

Scott County GPS Control: Scott County GPS Control Network monument locations. Originally collected in 2005 and subsequently reoccupied in 2015 and delivered in Iowa State Plane South, NAD83 (2011) and Iowa RCS Zone 11 coordinates. Davenport PLSS Corner Survey: Survey data acquired from Davenport regarding PLSS corners that they occupied over time using in-house survey equipment. Detailed information not available.PLSS Survey: Scott County PLSS corners occupied between 2007-2010 and originally referenced to Iowa State Plane, South NAD83 (HARN96) coordinate system. In 2015, a township level positional analysis and readjustment to NAD (2011) was conducted by third-party survey firms GB Consulting and DCI, Inc both incorporated in the State of Iowa.PLSS Index: Section corner reference database which represents locations of all known recorded corner certificates in Scott County as well as section corner documents kept by the Scott County Secondary Road Departments referred to as "Tie Books" (not recorded). Note that the physical location of corners in the PLSS Index database are approximate only. In contrast to the corners in layer PLSS Survey, the ones in PLSS Index are not survey grade and are for reference purposes only. However, the PLSS Index contains useful reference information such as when the corner was recorded, who recorded it, etc. and includes an online link to every section corner certificates and county tie book in the collection. There is a one-to-many relationship between features in the PLSS Index layer and the table, Certificate and Tie Book Records.