Evidence map›Paper›PMID 41465958›Full record

Observational studyMedicine2025

Enhanced diagnostic value of sequential head and neck CTA and MR-DWI in acute ischemic stroke.

Deming Sun, Jingen Chai, Xianfeng Shao, Xianchao Feng, Zhen Shen

Abstract readObservational Study
In one paragraph

Observational study in Medicine, 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

5 authors.

Deming SunThe Traditional Chinese Medical Hospital of Tongxiang City, Tongxiang, Zhejiang, China.
Jingen Chai
Xianfeng Shao
Xianchao Feng

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the clinical effectiveness of integrating head and neck computed tomography angiography (CTA) with magnetic resonance diffusion-weighted imaging (MR-DWI) for diagnosing acute ischemic stroke (AIS), compared to using a single imaging modality alone. This retrospective, single-center study included 160 patients with confirmed AIS. Patients were divided into 2 groups: one group underwent a single imaging modality (CTA or MR-DWI), while the other group underwent both CTA and MR-DWI during the same hospitalization, with the results jointly evaluated for diagnostic purposes. Diagnostic indicators, including sensitivity, specificity, accuracy, lesion identification, multifocal lesion detection, vascular occlusion localization, and the correlation between imaging findings and clinical outcomes (National Institutes of Health Stroke Scale and Modified Rankin Scale scores), were assessed and compared between groups. The 2 groups showed no significant differences in baseline characteristics (P > .05). The combined-modality group demonstrated significantly better diagnostic performance, with higher sensitivity (95.0%), specificity (92.5%), and accuracy (93.8%) (P < .05). It also achieved superior lesion detection (98.8%) and multifocal lesion identification (93.8%) compared with the single-modality group. Importantly, imaging findings in the combined group showed stronger correlations with neurological severity (R = 0.78) and short-term prognosis (R = 0.81) (P < .01), and detection of brainstem and deep lesions was markedly improved. The integration of head and neck CTA with MR-DWI significantly enhances diagnostic precision for AIS. This approach improves lesion visualization, vascular occlusion localization, and prediction of clinical outcomes, supporting its broader application in early stroke diagnosis and management.

Indexed as

Computed Tomography AngiographyDiffusion Magnetic Resonance ImagingIschemic StrokeAgedAged, 80 and overFemaleHeadHumansMaleMiddle AgedNeckRetrospective StudiesSensitivity and Specificityacute ischemic strokecombined imagingcomputed tomography angiographylesion detectionmagnetic resonance diffusion-weighted imagingprognosis prediction

Identifiers

PMID41465958
PMCPMC12746913

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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.