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.Základní údaje
Originální název
Permeability surface area product analysis in malignant brain edema prediction – A pilot study
Autoři
VOLNÝ, Ondřej (203 Česká republika, garant, domácí), Petra CIMFLOVÁ (203 Česká republika, domácí), T.-Y. LEE (124 Kanada), B. K. MENON (124 Kanada) a C. D. D'ESTERRE (124 Kanada)
Vydání
Journal of the Neurological Sciences, Amsterdam, Elsevier Science BV, 2017, 0022-510X
Další údaje
Jazyk
angličtina
Typ výsledku
Článek v odborném periodiku
Obor
30103 Neurosciences
Stát vydavatele
Nizozemské království
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Impakt faktor
Impact factor: 2.448
Kód RIV
RIV/00216224:14110/17:00096427
Organizační jednotka
Lékařská fakulta
UT WoS
000401210500043
Klíčová slova anglicky
Ischemic stroke; Malignant brain edema; CT perfusion; Permeability surface area product
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 20. 3. 2018 13:51, Soňa Böhmová
Anotace
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.