Evidence map›Paper›PMID 36617962›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2025

Validation of the Charlotte large artery occlusion endovascular therapy outcome score using Viz.ai-derived cerebral blood volume index.

Rahul R Karamchandani, Hongmei Yang, Jeremy B Rhoten, Dale Strong, Sagar Satyanarayana, Andrew W Asimos

Abstract readValidation Study
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Predicting severe disability or death in endovascular thrombectomy with large computed tomography perfusion core infarction and limited penumbra.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rahul R KaramchandaniNeurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA.ORCID 0000-0002-2111-5523
Hongmei YangInformation and Analytics Services, Atrium Health, Charlotte, NC, USA.
Jeremy B RhotenNeurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA.
Dale StrongInformation and Analytics Services, Atrium Health, Charlotte, NC, USA.
Sagar SatyanarayanaInformation and Analytics Services, Atrium Health, Charlotte, NC, USA.
Andrew W AsimosEmergency Medicine, Neurosciences Institute, Atrium Health, Charlotte, NC, USA.ORCID 0000-0002-6697-3724

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Charlotte large artery occlusion endovascular therapy outcome score (CLEOS) predicts poor 90-day outcomes for patients presenting with internal carotid artery (ICA) or middle cerebral artery (MCA) occlusions. It incorporates RAPID-derived cerebral blood volume (CBV) index, a marker of collateral circulation. We validated the predictive ability of CLEOS with Viz.ai-processed computed tomography perfusion (CTP) imaging.

methodsThe original CLEOS derivation cohort was compared to a validation cohort consisting of all ICA and MCA thrombectomy patients treated at a large health system with Viz.ai-processed CTP. Rates of poor 90-day outcome (mRS 4-6) were compared in the derivation and validation cohorts, stratified by CLEOS. CLEOS was compared to previously described prediction models using area under the curve (AUC) analyses. Calibration of CLEOS was performed to compare predicted risk of poor outcomes with observed outcomes.

resultsOne-hundred eighty-one patients (mean age 66.4 years, median NIHSS 16) in the validation cohort were included. The validation cohort had higher median CTP core volumes (24 vs 8 ml) and smaller median mismatch volumes (81 vs 101 ml) than the derivation cohort. CLEOS-predicted poor outcomes strongly correlated with observed outcomes (

conclusionsCLEOS can predict risk of poor 90-day outcomes in ICA and MCA thrombectomy patients evaluated with pre-intervention, Viz.ai-processed CTP.

Indexed as

Cerebral Blood VolumeEndovascular ProceduresInfarction, Middle Cerebral ArteryAgedCarotid Artery, InternalCerebrovascular CirculationCollateral CirculationFemaleHumansMaleMiddle AgedRetrospective StudiesThrombectomyTomography, X-Ray ComputedTreatment OutcomeCT perfusionoutcome predictionStrokethrombectomy

Identifiers

PMID36617962
PMCPMC11833827

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.