Evidence map›Paper›PMID 40234640›Full record

ArticleScientific reports2025

Validation of a novel CT perfusion software compared to RAPID in stroke patients receiving endovascular therapy.

Dan Chen, Wenhuo Chen, Thanh N Nguyen, Tingyu Yi, Luyun Zhang, Xinze Guo, Yanting Chang, Xue Bai, Bowen Deng, Yang Zhang and 4 more

Abstract readComparative StudyValidation Study
In one paragraph

Article in Scientific reports, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Advances in Collateral Neuroimaging for Acute Ischemic Stroke: Redefining Time and Tissue Windows in the Reperfusion Era.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Review
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

14 authors.

Dan Chen *Department of Public Health, Taizhou Second People's Hospital, Taizhou, Zhejiang, China.
Wenhuo Chen *Department of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, Fujian, China.
Thanh N NguyenNeurology, Radiology, Boston Medical Center, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA.
Tingyu YiDepartment of Neurointervention, Zhangzhou Affiliated Hospital of Fujian Medical University, Fujian, China.
Luyun ZhangDepartment of Neurology, Shenyang First People's Hospital, Shenyang Medical College Affiliated Brain Hospital, Shenyang, Liaoning, China.
Xinze GuoDepartment of Neurology, Shenyang First People's Hospital, Shenyang Medical College Affiliated Brain Hospital, Shenyang, Liaoning, China.
Yanting ChangDepartment of Public Health, Taizhou Second People's Hospital, Taizhou, Zhejiang, China.
Xue BaiDepartment of Public Health, Taizhou Second People's Hospital, Taizhou, Zhejiang, China.
Bowen DengDepartment of Public Health, Taizhou Second People's Hospital, Taizhou, Zhejiang, China.
Yang ZhangDepartment of Public Health, Taizhou Second People's Hospital, Taizhou, Zhejiang, China.
Yang ZhaoDepartment of Neurology, Shenyang First People's Hospital, Shenyang Medical College Affiliated Brain Hospital, Shenyang, Liaoning, China.
Tingting QiuPathology and Pathophysiology, Shenyang Medical College, Shenyang, Liaoning, China.
Yu WangSchool of Public Heath, Shenyang Medical College, 146 North Huanghe Street, Shenyang, 110034, Liaoning, China. 18940116917@163.com.
Yi SuiDepartment of Neurology, Shenyang First People's Hospital, Shenyang Medical College Affiliated Brain Hospital, Shenyang, Liaoning, China. jakeyisui@icloud.com.

Funding

Shenyang Municipal Bureau of Science and Technology #22-321-33-55, #L230149 & #L190082
6 · The paper itself

Abstract

Accurate estimate of ischemic core volume (ICV) and penumbra volume (PV) is important in decision-making for endovascular therapies (EVT) and predicting the patient's clinical outcome. In this study, we compared the performance of a novel automated CT perfusion software UGuard and the Rapid Processing of Perfusion and Diffusion (RAPID). UGuard and RAPID had strong agreement with regard to ICV (ICC 0.92, 95% CI 0.89 - 0.94) and PV (ICC 0.8, 95% CI 0.73 - 0.85) measurements. ICVs measured by UGuard or RAPID were similar in predicting favorable outcome (AUC 0.72 vs. 0.70, P = 0.43), with UGuard measurements having higher specificity. After adjusting for significant clinical covariates, the predictive performance of favorable outcome was excellent for each of the six models incorporating ICV and PV, and the model which incorporated ICV and PV measured by UGuard software package showed the best predictive performance. We concluded that the ICV and PV of CT perfusion images measured by UGuard software package, as well as the capacity to predict favorable outcome of patients following EVT, were comparable to RAPID.

Indexed as

Endovascular ProceduresPerfusion ImagingSoftwareStrokeTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedTreatment OutcomeAcute ischemic strokeEndovascular therapyIschemic corePenumbraPerfusion imagingThrombectomy

Identifiers

PMID40234640
PMCPMC12000361

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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.