BACKGROUND: Delayed cerebral ischemia (DCI) after subarachnoid hemorrhage (SAH) is difficult to predict. The authors studied the relation between several parameters of brain perfusion at admission and development of DCI. METHODS: The authors analyzed the admission CT perfusion (CTP) scans of 46 patients scanned within 72 hours after SAH. They assessed cerebral blood volume (CBV) and flow (CBF), mean transit time (MTT), and time to peak (TTP) for eight predefined regions of interest. For patients with and without DCI, the authors compared perfusion quantitatively and semiquantitatively. With receiver-operator characteristic (ROC) curves, the authors assessed the relationship between DCI and perfusion parameters. To assess the potential prognostic value, they calculated sensitivity and specificity of optimal threshold values for the semiquantitative data. RESULTS: DCI was not significantly related with quantitative perfusion values. For the semiquantitative data, patients with DCI had significantly more asymmetry in perfusion, and ROC curves indicated a good relation (0.75 to 0.81). Optimal threshold values distinguishing between patients with and without DCI were 0.77 for CBV and 0.72 for CBF ratios, and 0.87 seconds for MTT and 1.0 second for TTP differences. The corresponding sensitivity was 0.75 for all parameters; the specificity was 0.70 for CBV, 0.93 for CBF, 0.70 for MTT, and 0.90 for TTP. CONCLUSIONS: Delayed cerebral ischemia (DCI) is related to perfusion asymmetry on admission CT perfusion (CTP). The cerebral blood flow ratio (comparing contralateral regions of interest) seems the best prognosticator for development of DCI. Further studies are needed to investigate the additional value of CTP to other prognosticators for DCI and to validate the chosen threshold values.
BACKGROUND:Delayed cerebral ischemia (DCI) after subarachnoid hemorrhage (SAH) is difficult to predict. The authors studied the relation between several parameters of brain perfusion at admission and development of DCI. METHODS: The authors analyzed the admission CT perfusion (CTP) scans of 46 patients scanned within 72 hours after SAH. They assessed cerebral blood volume (CBV) and flow (CBF), mean transit time (MTT), and time to peak (TTP) for eight predefined regions of interest. For patients with and without DCI, the authors compared perfusion quantitatively and semiquantitatively. With receiver-operator characteristic (ROC) curves, the authors assessed the relationship between DCI and perfusion parameters. To assess the potential prognostic value, they calculated sensitivity and specificity of optimal threshold values for the semiquantitative data. RESULTS:DCI was not significantly related with quantitative perfusion values. For the semiquantitative data, patients with DCI had significantly more asymmetry in perfusion, and ROC curves indicated a good relation (0.75 to 0.81). Optimal threshold values distinguishing between patients with and without DCI were 0.77 for CBV and 0.72 for CBF ratios, and 0.87 seconds for MTT and 1.0 second for TTP differences. The corresponding sensitivity was 0.75 for all parameters; the specificity was 0.70 for CBV, 0.93 for CBF, 0.70 for MTT, and 0.90 for TTP. CONCLUSIONS:Delayed cerebral ischemia (DCI) is related to perfusion asymmetry on admission CT perfusion (CTP). The cerebral blood flow ratio (comparing contralateral regions of interest) seems the best prognosticator for development of DCI. Further studies are needed to investigate the additional value of CTP to other prognosticators for DCI and to validate the chosen threshold values.
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Authors: Ahmed E Othman; Carolin Brockmann; Zepa Yang; Changwon Kim; Saif Afat; Rastislav Pjontek; Omid Nikoubashman; Marc A Brockmann; Jong Hyo Kim; Martin Wiesmann Journal: Eur Radiol Date: 2015-04-23 Impact factor: 5.315
Authors: Ahmed E Othman; Carolin Brockmann; Zepa Yang; Changwon Kim; Saif Afat; Rastislav Pjontek; Omid Nikoubashman; Marc A Brockmann; Konstantin Nikolaou; Martin Wiesmann; Jong Hyo Kim Journal: Eur Radiol Date: 2015-05-30 Impact factor: 5.315
Authors: Charlotte H P Cremers; Irene C van der Schaaf; Emerens Wensink; Jacoba P Greving; Gabriel J E Rinkel; Birgitta K Velthuis; Mervyn D I Vergouwen Journal: J Cereb Blood Flow Metab Date: 2013-11-27 Impact factor: 6.200
Authors: P C Sanelli; A Pandya; A Z Segal; A Gupta; S Hurtado-Rua; J Ivanidze; K Kesavabhotla; D Mir; A I Mushlin; M G M Hunink Journal: AJNR Am J Neuroradiol Date: 2014-05-08 Impact factor: 3.825
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Authors: Ahmed E Othman; Saif Afat; Omid Nikoubashman; Marguerite Müller; Gerrit Alexander Schubert; Georg Bier; Marc A Brockmann; Martin Wiesmann; Carolin Brockmann Journal: Neuroradiology Date: 2016-05-18 Impact factor: 2.804