VOLNÝ, Ondřej, Petra CIMFLOVÁ, T.-Y. LEE, B. K. MENON and C. D. D'ESTERRE. Permeability surface area product analysis in malignant brain edema prediction – A pilot study. Journal of the Neurological Sciences. Amsterdam: Elsevier Science BV, 2017, vol. 376, "neuvedeno", p. 206-210. ISSN 0022-510X. Available from: https://dx.doi.org/10.1016/j.jns.2017.03.035.
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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
Original language English
Type of outcome Article in a journal
Field of Study 30103 Neurosciences
Country of publisher Netherlands
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.448
RIV identification code RIV/00216224:14110/17:00096427
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1016/j.jns.2017.03.035
UT WoS 000401210500043
Keywords in English Ischemic stroke; Malignant brain edema; CT perfusion; Permeability surface area product
Tags EL OK
Tags International impact, Reviewed
Changed by Changed by: Soňa Böhmová, učo 232884. Changed: 20/3/2018 13:51.
Abstract
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.
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