Evidence map›Paper›PMID 36285452›Full record

ArticleInterventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences2024

Accuracy of CT perfusion-predicted core in the late window.

Johnathan Vidovich, Sriharsha Voleti, Bin Zhang, Cody Stephens, Aakanksha Sriwastwa, Yasmin Aziz, Brendan Corcoran, Vivek Khandwala, Eva Mistry, Pooja Khatri and 2 more

Abstract read
In one paragraph

Article in Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 47% of its field
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 2 institutions in 1 country.

Johnathan VidovichDepartment of Radiology, University of Cincinnati Medical Center, 234 Goodman St, Cincinnati, OH, United States.ORCID 0000-0002-6981-7778
Sriharsha VoletiDepartment of Radiology, University of Cincinnati Medical Center, 234 Goodman St, Cincinnati, OH, United States.
Bin ZhangDivision of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, United States.
Cody StephensDepartment of Radiology, University of Cincinnati Medical Center, 234 Goodman St, Cincinnati, OH, United States.ORCID 0000-0001-7711-2682
Aakanksha SriwastwaDepartment of Radiology, University of Cincinnati Medical Center, 234 Goodman St, Cincinnati, OH, United States.
Yasmin AzizDepartment of Neurology and Rehabilitation Medicine, University of Cincinnati Medical Center, Cincinnati, United States.
Brendan CorcoranDepartment of Radiology, University of Cincinnati Medical Center, 234 Goodman St, Cincinnati, OH, United States.
Vivek KhandwalaDepartment of Radiology, University of Cincinnati Medical Center, 234 Goodman St, Cincinnati, OH, United States.ORCID 0000-0002-6076-2395
Eva MistryDepartment of Neurology and Rehabilitation Medicine, University of Cincinnati Medical Center, Cincinnati, United States.
Pooja KhatriDepartment of Neurology and Rehabilitation Medicine, University of Cincinnati Medical Center, Cincinnati, United States.
Lily L WangDepartment of Radiology, University of Cincinnati Medical Center, 234 Goodman St, Cincinnati, OH, United States.
Achala VagalDepartment of Radiology, University of Cincinnati Medical Center, 234 Goodman St, Cincinnati, OH, United States.
University of Cincinnati · USCincinnati Children's Hospital Medical Center · US

Funding

Assessing Population-based Radiological brain health in Stroke Epidemiology (APRISE) StudyR01NS103824 · NINDS · UNIVERSITY OF CINCINNATI · PI KHATRI, POOJA, KISSELA, BRETT M · 2018 to 2022
$3.1M
NINDS NIH HHS R01 NS103824
6 · The paper itself

Abstract

background and purposeRecent endovascular trials have spurred a paradigm shift toward routine use of CT perfusion (CTP) for decision-making in acute ischemic stroke. CTP use in the late window, however, remains under evaluation. Our objective was to assess the accuracy of CTP-predicted core in the late window.

methodsIn a retrospective review of our prospectively identified stroke registry at a single, comprehensive stroke center, we included patients with anterior large vessel occlusions presenting within the 6-24 h window who underwent baseline CTP evaluation and achieved TICI2b or TICI3 reperfusion on endovascular treatment. We recorded baseline CTP-predicted core volumes at relative cerebral blood flow (CBF) thresholds of <30% <34%, and <38% using RAPID software. Final infarct volumes (FIV) were calculated using follow up MRI and CT, obtained within 72 h after stroke onset.

resultsOf the eligible patients, 134 met our inclusion criteria. Mean FIV was 39.5 (SD 49.6). Median CTP to reperfusion time was 93.5 min. Median absolute differences between CTP-predicted core and FIV were 14.7, 14.9, and 16.0 ml at <30%, <34%, and <38%, respectively. Correlation between CTP-predicted ischemic cores and FIV was moderate and statistically significant at all thresholds: r = 0.43 (p <0.001), r = 0.43 (p <0.001), and r = 0.42 (p <0.001) at the <30%, <34%, and <38% cutoffs, respectively.

conclusionCTP cores in the 6-24 h period underestimate FIV, especially with larger infarcts. CTP-predicted core volumes in the late window show moderate positive correlation with FIV.

Indexed as

Cerebrovascular CirculationIschemic StrokeTomography, X-Ray ComputedAgedEndovascular ProceduresFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPerfusion ImagingRegistriesRetrospective StudiesStrokecomputed tomographyischemic strokePerfusion imagingreperfusionthrombectomy

Identifiers

PMID36285452
PMCPMC11095353
OpenAlexW4307341889

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.