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dc.contributorVall d'Hebron Barcelona Hospital Campus
dc.contributor.authorPsychogios, Marios-Nikos
dc.contributor.authorSporns, Peter Bernhard
dc.contributor.authorOspel, Johanna M.
dc.contributor.authorKatsanos, Aristeidis H.
dc.contributor.authorKabiri, Reza
dc.contributor.authorFlottmann, Fabian
dc.contributor.authorRibó Jacobi, Marc
dc.contributor.authorRequena Ruiz, Manuel
dc.date.accessioned2022-07-18T10:26:16Z
dc.date.available2022-07-18T10:26:16Z
dc.date.issued2021-06
dc.identifier.citationPsychogios MN, Sporns PB, Ospel J, Katsanos AH, Kabiri R, Flottmann FA, et al. Automated Perfusion Calculations vs. Visual Scoring of Collaterals and CBV-ASPECTS : Has the Machine Surpassed the Eye? Clin Neuroradiol. 2021 Jun;31:499–506.
dc.identifier.issn1869-1447
dc.identifier.urihttps://hdl.handle.net/11351/7781
dc.descriptionAcute ischemic stroke; Automated evaluation; Perfusion imaging
dc.description.abstractPurpose Use of automated perfusion software has gained importance for imaging of stroke patients for mechanical thrombectomy (MT). We aim to compare four perfusion software packages: 1) with respect to their association with 3‑month functional outcome after successful reperfusion with MT in comparison to visual Cerebral Blood Volume - Alberta Stroke Program Early CT Score (CBV-ASPECTS) and collateral scoring and 2) with respect to their agreement in estimation of core and penumbra volume. Methods This retrospective, multicenter cohort study (2015–2019) analyzed data from 8 centers. We included patients who were functionally independent before and underwent successful MT of the middle cerebral artery. Primary outcome measurements were the relationship of core and penumbra volume calculated by each software, qualitative assessment of collaterals and CBV-APECTS with 3‑month functional outcome and disability (modified Rankin scale >2). Quantitative differences between perfusion software measurements were also assessed. Results A total of 215 patients (57% women, median age 77 years) from 8 centers fulfilled the inclusion criteria. Multivariable analyses showed a significant association of RAPID core (common odds ratio, cOR 1.02; p = 0.015), CBV-ASPECTS (cOR 0.78; p = 0.007) and collaterals (cOR 0.78; p = 0.001) with 3‑month functional outcome (shift analysis), while RAPID core (OR 1.02; p = 0.018), CBV-ASPECTS (OR 0.77; p = 0.024), collaterals (OR 0.78; p = 0.007) and OLEA core (OR 1.02; p = 0.029) were significantly associated with 3‑month functional disability. Mean differences on core estimates between VEOcore and RAPID were 13.4 ml, between syngo.via and RAPID 30.0 ml and between OLEA and RAPID −3.2 ml. Conclusion Collateral scoring, CBV-ASPECTS and RAPID were independently associated with functional outcome at 90 days. Core and Penumbra estimates using automated software packages varied significantly and should therefore be used with caution.
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesClinical Neuroradiology;31
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScientia
dc.subjectIsquèmia cerebral - Imatgeria
dc.subjectVasos sanguinis - Cirurgia
dc.subjectAvaluació de resultats (Assistència sanitària)
dc.subject.meshBrain Ischemia
dc.subject.mesh/diagnostic imaging
dc.titleAutomated Perfusion Calculations vs. Visual Scoring of Collaterals and CBV-ASPECTS: Has the Machine Surpassed the Eye?
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/s00062-020-00974-3
dc.subject.decsisquemia cerebral
dc.subject.decs/diagnóstico por imagen
dc.relation.publishversionhttps://doi.org/10.1007/s00062-020-00974-3
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.audienceProfessionals
dc.contributor.organismesInstitut Català de la Salut
dc.contributor.authoraffiliation[Psychogios MN] Department of Neuroradiology, Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland. [Sporns PB] Department of Neuroradiology, Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland. Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. [Ospel J] Department of Neuroradiology, Clinic for Radiology & Nuclear Medicine, University Hospital Basel, Basel, Switzerland. Department of Clinical Neurosciences, Radiology and Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Canada. [Katsanos AH] Department of Medicine (Neurology), McMaster University/Population Health Research Institute, Hamilton, Canada. Second Department of Neurology, National and Kapodistrian University of Athens, Athens, Greece. [Kabiri R, Flottmann FA] Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany. [Ribo M, Ruiz MR] Servei de Neurologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain
dc.identifier.pmid33216157
dc.identifier.wos000591102300002
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess


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