Evidence map›Paper›PMID 37693754›Full record

ArticleFrontiers in neurology2023

Quantitative assessment of collateral time on perfusion computed tomography in acute ischemic stroke patients.

Yao Xu, Jianhong Yang, Xiang Gao, Jie Sun, Qing Shang, Qing Han, Yuefei Wu, Jichuan Li, Tianqi Xu, Yi Huang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. Research Trends and Hotspots of Collateral Circulation in Acute Ischemic Stroke: A Bibliometric Analysis.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

13 authors at 2 institutions in 2 countries.

Yao Xu *Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Jianhong Yang *Department of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Xiang GaoDepartment of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Jie SunDepartment of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Qing ShangDepartment of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Qing HanDepartment of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Yuefei WuDepartment of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Jichuan LiDepartment of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Tianqi XuDepartment of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Yi HuangDepartment of Neurosurgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Yuning PanDepartment of Radiology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Mark W ParsonSydney Brain Center, University of New South Wales, Sydney, NSW, Australia.
Longting LinDepartment of Neurology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Ningbo University · CNUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim: Good collateral circulation is recognized to maintain perfusion and contribute to favorable clinical outcomes in acute ischemic stroke. This study aimed to derive and validate an optimal collateral time measurement on perfusion computed tomography imaging for patients with acute ischemic stroke. Methods: This study included 106 acute ischemic stroke patients with complete large vessel occlusions. In deriving cohort of 23 patients, the parasagittal region of the ischemic hemisphere was divided into six pial arterial zones according to pial branches of the middle cerebral artery. Within the 85 arterial zones with collateral vessels, the receiver operating characteristic analysis was performed to derive the optimal collateral time threshold for fast collateral flow on perfusion computed tomography. The reference for fast collateral flow was the peak contrast delay on the collateral vessels within each ischemic arterial zone compared to its contralateral normal arterial zone on dynamic computed tomography angiography. The optimal perfusion collateral time threshold was then tested in predicting poor clinical outcomes (modified Rankin score of 5-6) and final infarct volume in the validation cohort of 83 patients. Results: For the derivation cohort of 85 arterial zones, the optimal collateral time threshold for fast collateral flow on perfusion computed tomography was a delay time of 4.04 s [area under the curve = 0.78 (0.67, 0.89), sensitivity = 73%, and specificity = 77%]. Therefore, the delay time of 4 s was used to define the perfusion collateral time. In the validation cohort, the perfusion collateral time showed a slightly higher predicting power than dynamic computed tomography angiography collateral time in poor clinical outcomes (area under the curve = 0.72 vs. 0.67; Conclusion: Our results indicate that perfusion computed tomography can accurately quantify the collateral time after acute ischemic stroke.

Indexed as

collateral velocitycomputed tomographyperfusion imagingquantitative assessmentstroke

Identifiers

PMID37693754
PMCPMC10491895
OpenAlexW4386165085

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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.