Detailed Information on Publication Record
2017
Permeability surface area product analysis in malignant brain edema prediction – A pilot study
VOLNÝ, Ondřej, Petra CIMFLOVÁ, T.-Y. LEE, B. K. MENON, C. D. D'ESTERRE et. al.Basic information
Original name
Permeability surface area product analysis in malignant brain edema prediction – A pilot study
Authors
VOLNÝ, Ondřej (203 Czech Republic, guarantor, belonging to the institution), Petra CIMFLOVÁ (203 Czech Republic, belonging to the institution), T.-Y. LEE (124 Canada), B. K. MENON (124 Canada) and C. D. D'ESTERRE (124 Canada)
Edition
Journal of the Neurological Sciences, Amsterdam, Elsevier Science BV, 2017, 0022-510X
Other information
Language
English
Type of outcome
Článek v odborném periodiku
Field of Study
30103 Neurosciences
Country of publisher
Netherlands
Confidentiality degree
není předmětem státního či obchodního tajemství
References:
Impact factor
Impact factor: 2.448
RIV identification code
RIV/00216224:14110/17:00096427
Organization unit
Faculty of Medicine
UT WoS
000401210500043
Keywords in English
Ischemic stroke; Malignant brain edema; CT perfusion; Permeability surface area product
Tags
Tags
International impact, Reviewed
Změněno: 20/3/2018 13:51, Soňa Böhmová
Abstract
V originále
Background and purpose Using an extended CT perfusion acquisition (150s), we sought to determine the association between perfusion parameters and malignant edema after ischemic stroke. Methods Patients (from prospective study PROVE-IT, NCT02184936) with terminal internal carotid artery ± proximal middle cerebral occlusion were involved. CTA was assessed for clot location and status of leptomeningeal collaterals. The following CTP parameters were calculated within the ischemic territory and contralaterally: permeability surface area product (PS), cerebral blood flow (CBF) and cerebral blood volume (CBV). PS was calculated using the adiabatic approximation to the Johnson and Wilson model. Outcome was evaluated by midline shift and infarction volume on follow-up imaging. Results Of 200 patients enrolled, 7 patients (3.5%) had midline shift >= 5 mm (2 excluded for poor-quality scans). Five patients with midline shift and 5 matched controls were analysed. There was no significant difference in mean PS, CBF and CBV within the ischemic territory between the two groups. A CBV threshold of 1.7 ml/100 g had the highest AUC = 0.72, 95% CI = 0.54–0.90 for early midline shift prediction, sensitivity and specificity were 0.83 and 0.67 respectively. Conclusion Our preliminary results did not show significant differences in permeability surface area analysis if analysed for complete ischemic region. CBV parameter had the highest accuracy and there was a trend for the mean PS values for midline shift prediction.