Evidence map›Paper›PMID 41555963›Full record

ArticleBJR open2026

Getting to the heart of Carotid and Vertebral imaging in acute ischemic stroke: an all-encompassing cross-sectional comparative analysis of Colour Doppler Ultrasound, CT Angiography, and MR Angiography.

Komal Verma Saluja, Mahesh Kumar Swami, Drishya Pillai, Manisha Meena, Dharm Raj Meena

Abstract read
In one paragraph

Article in BJR open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Komal Verma SalujaDepartment of Radiology, Government Medical College, Kota 324005, Rajasthan, India.ORCID https://orcid.org/0009-0007-4936-5018
Mahesh Kumar SwamiDepartment of Radiology, Government Medical College, Kota 324005, Rajasthan, India.
Drishya PillaiDepartment of Medicine, Meditrina Hospital, Palakkad 678006, Kerala, India.ORCID https://orcid.org/0000-0002-1382-5920
Manisha MeenaDepartment of Radiology, Government Medical College, Kota 324005, Rajasthan, India.
Dharm Raj MeenaDepartment of Radiology, Government Medical College, Kota 324005, Rajasthan, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study presents a comprehensive comparison of minimally-invasive extracranial neck imaging modalities-Colour Doppler ultrasound (CDUS), CT angiography (CTA), and MR angiography (MRA)-in acute ischaemic stroke (AIS) patients. The aim was to evaluate vessel stenosis, its related parameters, and assess the role of early CTA/MRA in AIS. Methods: Categorical and continuous data were compared with Chi-square and independent Sample Results: AIS was most common in males, aged 61-70 years, associated with hypertension and smoking ( Conclusions: Colour Doppler ultrasound is subjective, comprehensive assessment of anatomic and hemodynamic parameters but lacks sensitivity in identifying vulnerable plaques. CTA/MRA have better sensitivity with good soft tissue differentiation especially in lesser stenosed vessels. Advances in knowledge: Our results support preferred use of MRA/CTA as first-line modalities in time-sensitive scenarios like acute stroke and need to move beyond CDUS-based assessment. These show promise in detecting vulnerable plaque and predicting AIS risk/recurrence; in patient triage, and to guide early intensive treatment. Longitudinal studies are required to assess risk reduction by early advanced imaging.

Indexed as

carotid atherosclerosiscarotid stenosiscolour doppler ultrasoundCT angiographyischaemic strokeMR angiographystroke imaging protocolvertebral stenosisvulnerable plaques

Identifiers

PMID41555963
PMCPMC12812217

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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.