Evidence map›Paper›PMID 41813071›Full record

ArticleAJNR. American journal of neuroradiology2026

Perfusion-Based Collaterals in Prediction of Infarct Growth in Patients with Acute Ischemic Stroke: A Multicenter Comparative Analysis.

Mark McArthur, Mona Asghariahmadabad, Michael Thomas, Charlie Wang, Salil Soman, Ahmed A Safwat, Mahmud Mossa-Basha, Elham Tavakkol, Ameera Ismail, Vivek Yedavalli and 5 more

Abstract readMulticenter StudyComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2026. 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
–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

0 citing papers in PubMed.

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

15 authors.

Mark McArthurFrom the Department of Radiological Sciences (M.M., E.T., A.I.), David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California.ORCID https://orcid.org/0009-0001-0037-1878
Mona AsghariahmadabadDepartment of Radiology and Biomedical Imaging (M.M., M.A., M.T., C.W., S.S., K.N.), University of California, San Francisco, San Francisco, California.
Michael ThomasDepartment of Radiology and Biomedical Imaging (M.M., M.A., M.T., C.W., S.S., K.N.), University of California, San Francisco, San Francisco, California.ORCID https://orcid.org/0009-0004-9594-2128
Charlie WangDepartment of Radiology and Biomedical Imaging (M.M., M.A., M.T., C.W., S.S., K.N.), University of California, San Francisco, San Francisco, California.
Salil SomanDepartment of Radiology and Biomedical Imaging (M.M., M.A., M.T., C.W., S.S., K.N.), University of California, San Francisco, San Francisco, California.
Ahmed A SafwatDepartment of Radiology (A.A.S., M.M.-B.), University of Washington, Seattle, Washington.ORCID https://orcid.org/0000-0002-1742-071X
Mahmud Mossa-BashaDepartment of Radiology (A.A.S., M.M.-B.), University of Washington, Seattle, Washington.ORCID https://orcid.org/0000-0001-7798-8158
Elham TavakkolFrom the Department of Radiological Sciences (M.M., E.T., A.I.), David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California.ORCID https://orcid.org/0000-0003-2869-8087
Ameera IsmailFrom the Department of Radiological Sciences (M.M., E.T., A.I.), David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California.
Vivek YedavalliDepartment of Radiology (V.Y.), Johns Hopkins University, Baltimore, Maryland.
Hazem ShoirahDepartment of Neurology and Neurosurgery (H.S., J.M.), Icahn School of Medicine at Mount Sinai, New York, New York.ORCID https://orcid.org/0000-0003-0974-5757
J MoccoDepartment of Neurology and Neurosurgery (H.S., J.M.), Icahn School of Medicine at Mount Sinai, New York, New York.ORCID https://orcid.org/0000-0001-5489-2524
Mersedeh Bahr-HosseiniDepartment of Neurology (M.B.-H., D.S.L.), David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California.
David S LiebeskindDepartment of Neurology (M.B.-H., D.S.L.), David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, California.ORCID https://orcid.org/0000-0002-5109-8736
Kambiz NaelDepartment of Radiology and Biomedical Imaging (M.M., M.A., M.T., C.W., S.S., K.N.), University of California, San Francisco, San Francisco, California kambiznael@gmail.com.ORCID https://orcid.org/0000-0002-4194-9488

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeIn patients with acute ischemic stroke (AIS), robust collaterals are associated with lower rates of infarct growth. Perfusion-based collateral matrices, including hypoperfusion intensity ratio (HIR), relative CBV (rCBV) index, and perfusion collateral index (PCI), have been used successfully to assess collaterals in patients with AIS. We aimed to assess and compare the diagnostic ability of these perfusion-based collateral indices in the prediction of infarct growth in patients with AIS after successful reperfusion. MATERIALS AND

methodsIn this retrospective multicenter study, patients with anterior circulation large vessel occlusion were included if they had pretreatment perfusion (CT or MR), successful reperfusion (modified TICI ≥ 2b), and follow-up MRI within 24-48 hours from the date of treatment. The primary outcome assessed was substantial infarct growth, which was defined as a final infarct volume of ≥10 mL compared with the baseline ischemic core volume. Perfusion-based collateral indices including HIR (volume of time-to-maximum [Tmax] >10 seconds/volume of Tmax >6 seconds) and rCBV index (mean of rCBV values within the volume of Tmax > 6 seconds) were calculated using RAPID software (Version 5.0.4), and PCI (volume of delay

resultsAmong 116 included patients, 58 (50%) had infarct growth ≥10 mL. Infarct growth volume (median, interquartile range) was: 11, 2.6-34.7 mL. Poor collaterals determined by PCI and rCBV index was significantly (

conclusionsPerfusion-based collateral indices that integrate CBV (rCBV index and PCI) outperformed delay-based HIR in the prediction of substantial infarct growth in patients with AIS, and may play an important role in treatment decision-making, patient transfer decisions, and prognostication.

Indexed as

Cerebrovascular CirculationCollateral CirculationIschemic StrokeAgedFemaleHumansMaleMiddle AgedPerfusion Magnetic Resonance ImagingRetrospective Studies

Identifiers

PMID41813071
PMCPMC13629699

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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.