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Abstract TP90: Advance: Automated Detection and Volumetric Assessment of Intracerebral Hemorrhage. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.tp90] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Intracerebral hemorrhages (ICHs) accounts for approximately 15% of all strokes but carry high rates of morbidity and mortality. The location and volume of hematoma are strongly associated with outcomes. As novel treatments become established, early detection and proper volume measurement are becoming increasingly important. We aim to evaluate an artificial intelligence-based algorithm (Viz-ICH® v1.4) for ICH detection, volume measurement, and its differentiation from intraventricular hemorrhage (IVH).
Methods:
We performed single center retrospective analysis of non-contrast CTs (NCCTs), randomly picked from prospective cohort of acute stroke patients, with and without parenchymal ICHs, admitted to our stroke center from 02/14-03/17. Experienced stroke neurologists graded NCCTs with a semi-automated tool (OsiriX MD v.9.0.1) for presence and volume of ICH, and also presence of intraventricular hemorrhage (IVH). AI- and human-based readings were compared.
Results:
A total of 211 NCCTs were evaluated including 163 ICHs and 48 controls. The ICH location was basal ganglionic in 55.8%, Lobar in 23.3% and posterior fossa in 12% of the cases and 51.5 % of patients had associated IVH with mean volume 41.94 cc. The AI algorithm demonstrated high accuracy for ICH detection and volumetric measurement (Table). The maximal running time of the algorithm was under 15s.
Conclusion:
The presence and volume of ICHs can be accurately detected by AI Viz-ICH Algorithm, with good differentiation from IVH which will help in early triage of these patients.
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Abstract WP502: Predictors Of First Pass Reperfusion In Anterior Circulation Large Vessel Occlusion Stroke. Stroke 2020. [DOI: 10.1161/str.51.suppl_1.wp502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
The speed and completeness of endovascular reperfusion strongly correlate with functional outcomes. First-Pass Reperfusion (FPR) has been recently established as a critical procedural performance metric for mechanical thrombectomy (MT). We aimed to study the predictors of FPR and its effect on the outcome
Methods:
Review of a prospectively collected database of MT patients with large vessel occlusion strokes (LVOS) from 05/2012-11/2018. Patients were included in the analysis if they had an anterior circulation LVOS that was successfully reperfused (mTICI 2b-3). FPR was defined as the achievement of mTICI 2c-3 after a single pass with any thrombectomy device. Uni- and multivariate analyses were performed to identify the independent predictors of FPR.
Results:
A total of 563 patients qualified for the analysis (mean age, 64.4±12.3 years, baseline NIHSS 16.2). FPR was achieved in 202 (35.9%) patients. On univariate analysis, FPR was significantly associated with higher ASPECTS (8.1 vs. 7.8, p=0.008), higher usage of balloon guide catheters (BGC) (88.1% vs. 75.3%, p<0.001), lower use of general anesthesia (9.5% vs. 18.2%, p= 0.006), and shorter procedure duration (mean, 45.5 vs. 79.9 min, p <0.001 and 90.5%). Both BGC (OR, 2.26; 95%CI [1.32-3.87], p=0.003) and ASPECTS (OR, 1.15; 95% CI [1.03-1.28], p= 0.01) were independent predictors of FPE on multivariate regression analysis.
Conclusion:
Higher baseline ASPECTS score and the use of BGC are strong predictors of First-Pass Reperfusion in mechanical thrombectomy.
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