Evidence map›Paper›PMID 39536379›Full record

ArticleJournal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia2024

CT perfusion derived relative cerebral blood volume < 42 % is negatively associated with poor functional outcomes at discharge in anterior circulation large vessel occlusion stroke.

Dhairya A Lakhani, Aneri B Balar, Vaibhav Vagal, Hamza Salim, Janet Mei, Manisha Koneru, Sijin Wen, Burak Berksu Ozkara, Hanzhang Lu, Richard Wang and 20 more

Abstract read
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In one paragraph

Article in Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Observational
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  13. Perfusion imaging parameters predict long-term clinical outcome in isolated posterior cerebral artery occlusion stroke patients.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
  14. Article
  15. Article
  16. Prolonged Venous Transit Is Associated With Unfavorable Outcomes in Anterior Circulation Distal Medium Vessel Stroke.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    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

30 authors.

Dhairya A LakhaniDepartment of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA; The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA. Electronic address: dhairyalakhani@gmail.com.
Aneri B BalarDepartment of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA.
Vaibhav VagalRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.
Hamza SalimThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Janet MeiThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Manisha KoneruCooper Medical School of Rowan University, Camden, NJ, USA.
Sijin WenDepartment of Biostatistics, West Virginia University, Morgantown, WV, USA.
Burak Berksu OzkaraDepartment of Neuroradiology, MD Anderson Medical Center, Houston, TX, USA.
Hanzhang LuThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Richard WangThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Risheng XuThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Mehreen NabiThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Ishan MazumdarThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Andrew ChoThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Kevin ChenThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Sadra SepehriThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Francis DengThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Nathan HysonThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Victor UrrutiaThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Licia P LunaThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
Aakanksha SriwastwaDepartment of Radiology, University of Cincinnati, Cincinnati, OH, USA.
Argye E HillisDepartment of Neurology, Johns Hopkins University, Baltimore, MD, USA.
Jeremy J HeitDepartment of Radiology, Stanford University, Stanford, CA, USA.
Greg W AlbersDepartment of Radiology, Stanford University, Stanford, CA, USA.
Ansaar T RaiDepartment of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA.
Adam A DmytriwDepartment of Radiology, Harvard Medical School, Boston, MA, USA.
Tobias D FaizyDepartment of Radiology, Neuroendovascular Division, University Medical Center Münster, Germany.
Max WintermarkDepartment of Neuroradiology, MD Anderson Medical Center, Houston, TX, USA.
Kambiz NaelDivision of Neuroradiology, University of California San Francisco, CA, USA.
Vivek S YedavalliThe Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

BACKGROUND AND

aimRecent studies have shown that the CT Perfusion (CTP) parameter of rCBV < 42 % lesion volume can predict 90-day functional outcomes in stroke patients. However, its correlation with discharge outcomes, including functional dependence, has not been investigated. Our study aims to evaluate the relationship between rCBV < 42 % and poor functional outcomes at discharge, defined as a modified Rankin score (mRS) of 3 or higher. MATERIALS AND

methodsThis retrospective study analyzed patients with confirmed occlusion on CT angiography, who also received CT perfusion between 9/1/2017 and 10/01/2023. Statistical tests (Student's T, Mann-Whitney U, and Chi-Square) were used to assess differences. Univariable and multivariable logistic regression analyses were performed to evaluate the associations of rCBV < 42 % with discharge mRS. A p-value ≤ 0.05 was considered significant.

resultsA total of 268 patients [median age: 68 years (IQR: 59-77), 56.3 % female] met the inclusion criteria. Among them, 85 patients (31.7 %) received intravenous thrombolysis (IVT), and 221 patients (82.5 %) underwent mechanical thrombectomy (MT). After adjusting for various variables, logistic regression analysis indicated that rCBV < 42 % lesion volume was associated with poor functional outcomes at discharge (aOR = 0.97, p < 0.05). T.

conclusionThe rCBV < 42 % could be a valuable tool in prognosticating AIS-LVO patients.

Indexed as

Cerebral Blood VolumeAgedCerebral AngiographyCerebrovascular CirculationComputed Tomography AngiographyFemaleHumansIschemic StrokeMaleMiddle AgedPatient DischargeRetrospective StudiesStrokeTomography, X-Ray ComputedTreatment OutcomeInfarct volumerCBV <42%Relative cerebral blood volume

Identifiers

PMID39536379
PMCPMC11619084

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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.