Evidence map›Paper›PMID 36167825›Full record

ArticleNeuroradiology2023

Time dependency of automated collateral scores in computed tomography angiography and computed tomography perfusion images in patients with intracranial arterial occlusion.

Jiahang Su, Lennard Wolff, Pieter Jan van Doormaal, Diederik W J Dippel, Wim van Zwam, Wiro J Niessen, Aad van der Lugt, Theo van Walsum

Abstract read
In one paragraph

Article in Neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jiahang SuDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands. j.su@erasmusmc.nl.ORCID http://orcid.org/0000-0002-6581-4473
Lennard WolffDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Pieter Jan van DoormaalDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Diederik W J DippelDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.
Wim van ZwamDepartment of Radiology, Maastricht UMC +, Maastricht, The Netherlands.
Wiro J NiessenDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Aad van der LugtDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Theo van WalsumDepartment of Radiology & Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.

Funding

Brain Foundation Netherlands HA2015.01.06Dutch Heart Foundation CVON2015-01: CONTRASTMinistry of Economic Affairs by means of the PPP Allowance LSHM17016
6 · The paper itself

Abstract

purposeThe assessment of collateral status may depend on the timing of image acquisition. The purpose of this study is to investigate whether there are optimal time points in CT Perfusion (CTP) for collateral status assessment, and compare collaterals scores at these time points with collateral scores from multiphase CT angiography (mCTA).

methodsPatients with an acute intracranial occlusion who underwent baseline non-contrast CT, mCTA and CT perfusion were selected. Collateral status was assessed using an automatically computed Collateral Ratio (CR) score in mCTA, and predefined time points in CTP acquisition. CRs extracted from CTP were correlated with CRs from mCTA. In addition, all CRs were related to baseline National Institutes of Health Stroke Scale (NIHSS) and Alberta Stoke Program Early CT Score (ASPECTS) with linear regression analysis to find the optimal CR.

resultsIn total 58 subjects (median age 74 years; interquartile range 61-83 years; 33 male) were included. When comparing the CRs from the CTP vs. mCTA acquisition, the strongest correlations were found between CR from baseline mCTA and the CR at the maximal intensity projection of time-resolved CTP (r = 0.81) and the CR at the peak of arterial enhancement point (r = 0.78). Baseline mCTA-derived CR had the highest correlation with ASPECTS (β = 0.36 (95%CI 0.11, 0.61)) and NIHSS (β = - 0.48 (95%CI - 0.72, - 0.16)).

conclusionCollateral status assessment strongly depends on the timing of acquisition. Collateral scores obtained from mCTA imaging is close to the optimal collateral score obtained from CTP imaging.

Indexed as

Arterial Occlusive DiseasesBrain IschemiaStrokeAgedCerebral AngiographyCollateral CirculationComputed Tomography AngiographyHumansMalePerfusionRetrospective StudiesTomography, X-Ray ComputedCollateral scoreCTACTPIschemic Stroke

Identifiers

PMID36167825
PMCPMC9859867

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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.