| dc.contributor | Vall d'Hebron Barcelona Hospital Campus |
| dc.contributor.author | Psychogios, Marios-Nikos |
| dc.contributor.author | Sporns, Peter Bernhard |
| dc.contributor.author | Ospel, Johanna M. |
| dc.contributor.author | Katsanos, Aristeidis H. |
| dc.contributor.author | Kabiri, Reza |
| dc.contributor.author | Flottmann, Fabian |
| dc.contributor.author | Ribó Jacobi, Marc |
| dc.contributor.author | Requena Ruiz, Manuel |
| dc.date.accessioned | 2022-07-18T10:26:16Z |
| dc.date.available | 2022-07-18T10:26:16Z |
| dc.date.issued | 2021-06 |
| dc.identifier.citation | Psychogios 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.issn | 1869-1447 |
| dc.identifier.uri | https://hdl.handle.net/11351/7781 |
| dc.description | Acute ischemic stroke; Automated evaluation; Perfusion imaging |
| dc.description.abstract | Purpose
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.iso | eng |
| dc.publisher | Springer |
| dc.relation.ispartofseries | Clinical Neuroradiology;31 |
| dc.rights | Attribution 4.0 International |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ |
| dc.source | Scientia |
| dc.subject | Isquèmia cerebral - Imatgeria |
| dc.subject | Vasos sanguinis - Cirurgia |
| dc.subject | Avaluació de resultats (Assistència sanitària) |
| dc.subject.mesh | Brain Ischemia |
| dc.subject.mesh | /diagnostic imaging |
| dc.title | Automated Perfusion Calculations vs. Visual Scoring of Collaterals and CBV-ASPECTS: Has the Machine Surpassed the Eye? |
| dc.type | info:eu-repo/semantics/article |
| dc.identifier.doi | 10.1007/s00062-020-00974-3 |
| dc.subject.decs | isquemia cerebral |
| dc.subject.decs | /diagnóstico por imagen |
| dc.relation.publishversion | https://doi.org/10.1007/s00062-020-00974-3 |
| dc.type.version | info:eu-repo/semantics/publishedVersion |
| dc.audience | Professionals |
| dc.contributor.organismes | Institut 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.pmid | 33216157 |
| dc.identifier.wos | 000591102300002 |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess |