Evidence map›Paper›PMID 41682948›Full record

ReviewJournal of clinical medicine2026

Cardiovascular CT in Bicuspid Aortic Valve Disease: A State-of-the-Art Narrative Review of Advances, Clinical Integration, and Future Directions.

Muhammad Ali Jawed, Cagri Ayhan, Robert Byrne, Sandeep Singh Hothi, Sherif Sultan, Mark Spence, Osama Soliman

Abstract readReview
In one paragraph

Review in Journal of clinical medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Muhammad Ali JawedCardiovascular Research Institute (CVRI), D07 KWR1 Dublin, Ireland.ORCID 0009-0000-9083-1374
Cagri AyhanMater Private Network, D07 KWR1 Dublin, Ireland.ORCID 0009-0009-0369-5147
Robert ByrneCardiovascular Research Institute (CVRI), D07 KWR1 Dublin, Ireland.ORCID 0000-0001-5224-6393
Sandeep Singh HothiDepartment of Cardiology, Royal Wolverhampton Trust, Wolverhampton WV10 0QP, UK.ORCID 0000-0002-7448-9190
Sherif SultanWestern Vascular Institute, Department of Vascular and Endovascular Surgery, University Hospital Galway, University of Galway, H91 TK33 Galway, Ireland.ORCID 0000-0001-8767-4929
Mark SpenceCardiovascular Research Institute (CVRI), D07 KWR1 Dublin, Ireland.ORCID 0000-0002-7053-6586
Osama SolimanCardiovascular Research Institute (CVRI), D07 KWR1 Dublin, Ireland.ORCID 0000-0003-0758-3539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bicuspid Aortic Valve (BAV) disease is recognized as the most common congenital heart condition and is frequently associated with complex valvular and aortic disorders. Cardiovascular computed tomography (CT) has become essential for diagnosing BAV, planning procedures, and evaluating patients after treatment. This is largely due to CT's high spatial resolution and its ability to perform volume imaging effectively. This review provides an up-to-date overview of the increasing role of cardiovascular CT in the management of bicuspid aortic valve (BAV). It covers various aspects, including BAV morphology, optimal sizing for transcatheter aortic valve replacement (TAVR), and post-procedural monitoring. We highlight significant innovations, such as supra-annular sizing techniques and artificial intelligence (AI)-guided analysis, that position CT at the nexus of anatomy, function, and targeted treatment. Additionally, we address controversies concerning inconsistencies in sizing algorithms, recent classification challenges, and radiation exposure. Future development areas include AI predictive tools, radiomic phenotyping, and CT-guided precision medicine. This synthesis aims to provide clinicians and researchers with a high-level guide to the clinical integration of cardiovascular CT and its future in the BAV population. This review provides the most current, comprehensive synthesis on the pivotal role of cardiovascular CT in BAV management, offering a roadmap for integrating advanced imaging into clinical practice and guiding future research priorities.

Indexed as

aortic regurgitationaortic stenosisaortopathyartificial intelligencebicuspid aortic valve calcificationcardiovascular computed tomographydeep learningmachine learningphoton-counting CT and 4D CTtranscatheter aortic valve implantation

Identifiers

PMID41682948
PMCPMC12898256

What OpenQuestion holds

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Registered trials

None linked

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.