Evidence map›Paper›PMID 40095406›Full record

ArticleTranslational stroke research2025

Dual-Energy CT-Based Thrombus Radiomics Can Predict Functional Outcome of Intravenous Thrombolysis in Acute Ischemic Stroke.

Yuzhu Ma, Ying Zhao, Yao Dai, Ziyang Song, Jiajia Yang, Chunhong Hu, Yu Zhang

Abstract read
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Article in Translational stroke research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Yuzhu Ma *Department of Radiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, 215124, China.
Ying Zhao *Department of Radiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, 215124, China.
Yao DaiDepartment of Radiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, 215124, China.
Ziyang SongDepartment of Radiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, 215124, China.
Jiajia YangDepartment of Radiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, 215124, China.
Chunhong HuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, 215006, China.
Yu ZhangDepartment of Radiology, The Fourth Affiliated Hospital of Soochow University (Suzhou Dushu Lake Hospital), Suzhou, 215124, China. zhang_yu77@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To explore the predictive value of dual-energy CT-based thrombus radiomics for the functional outcome of intravenous thrombolysis in patients with acute ischemic stroke (AIS). One hundred four AIS patients who received intravenous thrombolysis were enrolled and classified into favorable and unfavorable outcome based on their modified Rankin Scale (mRS) scores at 90 days. All patients underwent a one-stop-shop CT scan upon admission, including NCCT, dual-energy CTA, and CTP. The thrombus radiological and radiomics models were developed using NCCT, CTA, and iodine overlay map (IOM) images. The clinical model was developed using clinical information and other radiological data. The best-performing radiomics model was selected for the further development of a clinical-radiomics nomogram. The performance of these models was evaluated using receiver operating characteristic (ROC) curves, clinical decision curves, calibration curves, and DeLong's test. The AUCs of the model

Indexed as

Brain IschemiaFibrinolytic AgentsIschemic StrokeThrombolytic TherapyThrombosisTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedPredictive Value of TestsRadiomicsTreatment OutcomeFibrinolytic AgentsAcute ischemic strokeFunctional outcomeRadiomicsThrombus characteristics

Identifiers

PMID40095406

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.