Evidence map›Paper›PMID 38528780›Full record

ArticleThe neuroradiology journal2024

CT perfusion based rCBF <38% volume is independently and negatively associated with digital subtraction angiography collateral score in anterior circulation large vessel occlusions.

Dhairya A Lakhani, Aneri B Balar, Manisha Koneru, Sijin Wen, Burak Berksu Ozkara, Richard Wang, Meisam Hoseinyazdi, Mehreen Nabi, Ishan Mazumdar, Andrew Cho and 11 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The neuroradiology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

21 authors at 3 institutions in 1 country.

Dhairya A LakhaniDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.ORCID 0000-0001-7577-1887
Aneri B BalarDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Manisha KoneruDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.ORCID 0000-0001-5012-6793
Sijin WenDepartment of Biostatistics, West Virginia University, USA.
Burak Berksu OzkaraDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.ORCID 0000-0002-8769-3342
Richard WangDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Meisam HoseinyazdiDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Mehreen NabiDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Ishan MazumdarDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Andrew ChoDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Kevin ChenDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Sadra SepehriDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Nathan HysonDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Risheng XuDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Victor UrrutiaDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.
Licia LunaDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.ORCID 0000-0003-3539-4831
Argye E HillisDepartment of Neurology, Johns Hopkins University, USA.
Jeremy J HeitDepartment of Neurology, Stanford University, USA.
Greg W AlbersDepartment of Neurology, Stanford University, USA.
Ansaar T RaiDepartment of Neuroradiology, West Virginia University, USA.
Vivek S YedavalliDepartment of Radiology and Radiological Sciences, Johns Hopkins University, USA.ORCID 0000-0002-2450-4014
Johns Hopkins University · USStanford University · USWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCollateral status (CS) is an important biomarker of functional outcomes in patients with acute ischemic stroke secondary to large vessel occlusion (AIS-LVO). Pretreatment CT perfusion (CTP) parameters serve as reliable surrogates of collateral status (CS). In this study, we aim to assess the relationship between the relative cerebral blood flow less than 38% (rCBF <38%), with the reference standard American Society of Interventional and Therapeutic Neuroradiology (ASITN) collateral score (CS) on DSA.

methodsIn this prospectively collected, retrospectively reviewed analysis, inclusion criteria were as follows: (a) CT angiography (CTA) confirmed anterior circulation large vessel occlusion from 9/1/2017 to 10/01/2023; (b) diagnostic CT perfusion; and (c) underwent mechanical thrombectomy with documented ASITN CS. The ratios of the CTP-derived CBF values were calculated by dividing the values of the ischemic lesion by the corresponding values of the contralateral normal region (which were defined as rCBF). Spearman's rank correlation and logistic regression analysis were performed to determine the relationship of rCBF <38% lesion volume with DSA ASITN CS.

resultsIn total, 223 patients [mean age: 67.77 ± 15.76 years, 56.1% (

conclusionGreater volume of tissue with rCBF <38% is independently associated with better DSA CS. rCBF <38% is a useful adjunct tool in collateralization-based prognostication. Future studies are needed to expand our understanding of the role of rCBF <38% within the decision-making in patients with AIS-LVO.

Indexed as

Angiography, Digital SubtractionCerebrovascular CirculationCollateral CirculationComputed Tomography AngiographyAgedAged, 80 and overCerebral AngiographyFemaleHumansIschemic StrokeMaleMiddle AgedRetrospective StudiesAcute ischemic strokecollateral statusCT perfusionrCBF <38%

Identifiers

PMID38528780
PMCPMC11366200
OpenAlexW4393195917

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.