Evidence map›Paper›PMID 42346460›Full record

ReviewJournal of cardiovascular development and disease2026

Coronary CT Angiography in PCI Planning: Advances, Clinical Applications, and Challenges.

Ahmed Mahmoud Elsoudy, Luciano Candilio

Abstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 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

2 authors.

Ahmed Mahmoud ElsoudyDepartment of Cardiology, Royal Free Hospital, London NW3 2QG, UK.
Luciano CandilioDepartment of Cardiology, Royal Free Hospital, London NW3 2QG, UK.ORCID 0000-0002-1886-0119

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInterventional cardiology is increasingly being reshaped by rapid progress in non-invasive cardiovascular imaging. Coronary computed tomography angiography (CTCA), once used mainly to exclude obstructive coronary artery disease (CAD), is now being adopted as a broader planning instrument before percutaneous coronary intervention (PCI). Its ability to generate high-resolution three-dimensional visualization of the coronary tree, together with functional assessment through CT-derived fractional flow reserve (FFR-CT) and more advanced plaque analysis supported by artificial intelligence (AI), has expanded its relevance from diagnosis alone to strategic procedural preparation. In this setting, CTCA can help refine lesion assessment, anticipate technical complexity, and support better procedural and clinical outcomes. Technological Advancements: The value of CTCA for both diagnosis and risk stratification has increased substantially with recent technical innovation. Among the most important developments is the maturation of FFR-CT, which enables non-invasive physiological interrogation of coronary stenoses using computational modeling. At the same time, artificial intelligence and deep learning tools are reshaping the CTCA workflow by improving automation, facilitating plaque analysis, and highlighting adverse plaque characteristics such as positive remodeling, spotty calcification, and the napkin-ring sign. CLINICAL APPLICATIONS: In modern catheterization practice, CTCA is increasingly used to address anatomically demanding scenarios. Its role is particularly valuable in chronic total occlusion (CTO) intervention, where it can delineate occlusion length, stump characteristics, vessel course, and collateral anatomy before the procedure. Its usefulness also extends beyond CTO PCI by supporting vessel sizing, stent planning, and anticipation of lesion preparation requirements in complex coronary disease. CHALLENGES: Despite these advantages, several barriers continue to limit wider implementation, including blooming from heavy calcification, radiation burden, contrast-related renal concerns, and the practical difficulty of embedding CTCA-based planning into routine workflows.

conclusionsCTCA is becoming an increasingly important adjunct in PCI planning because it can combine anatomical definition, physiological interpretation, and plaque-level information before invasive treatment is undertaken. Overall, this review emphasizes CTCA not only as a diagnostic modality, but also as a practical pre-procedural roadmap that can guide lesion selection, stent planning, calcium modification strategies, and overall PCI strategy.

Indexed as

artificial intelligencechronic total occlusioncoronary computed tomography angiographyCTCAFFR-CTfractional flow reserveinterventional cardiologyPCI planningpercutaneous coronary interventionplaque characterization

Identifiers

PMID42346460
PMCPMC13300552

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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.