Evidence map›Paper›PMID 38548327›Full record

ArticleStroke and vascular neurology2024

Assessment of Perfusion Volumes by a New Automated Software for Computed Tomography Perfusion.

Zhixin Cao, David Wang, Xueyan Feng, Pengfei Yang, Hao Wang, Ziqi Xu, Yahui Hao, Wanxing Ye, Fengwei Chen, Liyuan Wang and 5 more

Open access · goldAbstract readMulticenter StudyComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Stroke and vascular neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
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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

15 authors at 6 institutions in 2 countries.

Zhixin CaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
David WangNeurovascular Division, Department of Neurology, Barrow Neurological Institute, St Joseph's Hospital and Medical Center, Phoenix, Arizona, USA.ORCID 0000-0003-2277-4608
Xueyan FengDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Pengfei YangNeurovascular Center, Changhai Hospital, Naval Medical University, Shanghai, China.
Hao WangDepartment of Neurology, Linyi People's Hospital, Linyi, Shandong, China.
Ziqi XuDepartment of Neurology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.ORCID 0000-0002-5516-4817
Yahui HaoChina National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wanxing YeChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Fengwei ChenChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Liyuan WangDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-0920-3715
Manjun HaoDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0003-1639-6102
Na WuDepartment of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Kai-Xuan YangChina National Clinical Research Center for Neurological Diseases, Beijing, China.
Yunyun Xiong *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China xiongyunyun@bjtth.org yongjunwang@ncrcnd.org.cn.ORCID 0000-0003-1353-2295
Yongjun Wang *Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China xiongyunyun@bjtth.org yongjunwang@ncrcnd.org.cn.ORCID 0000-0002-9976-2341
Capital Medical University · CNNational Clinical Research Center for Digestive Diseases · CNBarrow Neurological Institute · USLinyi People's Hospital · CNSecond Military Medical University · CNZhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo compare the perfusion volumes assessed by a new automated CT perfusion (CTP) software iStroke with the circular singular value decomposition software RAPID and determine its predictive value for functional outcome in patients with acute ischaemic stroke (AIS) who underwent endovascular treatment (EVT).

methodsData on patients with AIS were collected from four hospitals in China. All patients received CTP followed by EVT with complete recanalisation within 24 hours of symptom onset. We evaluated the agreement of CTP measures between the two softwares by Spearman's rank correlation tests and kappa tests. Bland-Altman plots were used to evaluate the agreement of infarct core volume (ICV) on CTP and ground truth on diffusion-weighted imaging (DWI). Logistic regression models were used to test the association between ICV on these two softwares and functional outcomes.

resultsAmong 326 patients, 228 had DWI examinations and 40 of them had infarct volume >70 mL. In all patients, the infarct core and hypoperfusion volumes on iStroke had a strong correlation with those on RAPID (ρ=0.68 and 0.66, respectively). The agreement of large infarct core (volume >70 mL) was substantial (kappa=0.73, p<0.001) between these two softwares. The ICV measured by iStroke and RAPID was significantly correlated with independent functional outcome at 90 days (p=0.009 and p<0.001, respectively). In patients with DWI examinations and those with an ICV >70 mL, the ICV of iStroke and RAPID was comparable on individual agreement with ground truth.

conclusionThe automatic CTP software iStroke is a reliable tool for assessing infarct core and mismatch volumes, making it clinically useful for selecting patients with AIS for acute reperfusion therapy in the extended time window.

Indexed as

AutomationCerebrovascular CirculationEndovascular ProceduresIschemic StrokePerfusion ImagingPredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedSoftwareAgedAged, 80 and overCerebral AngiographyChinaComputed Tomography AngiographyDiffusion Magnetic Resonance ImagingFemaleFunctional Statusautomated softwarecomputed tomography perfusionCT perfusioninfarct corePerfusionStroke

Identifiers

PMID38548327
PMCPMC11791637
OpenAlexW4393278689

What OpenQuestion holds

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LicenceCC BY-NC
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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.