Evidence map›Paper›PMID 41342808›Full record

ArticleJACC. Case reports2026

First Clinical Use of a Novel AI-Based Imaging Tool to Enhance CTO PCI Planning.

Hassan Saleh, Jaikirshan Khatri

Abstract readCase Reports
In one paragraph

Article in JACC. Case reports, 2026. 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

2 authors.

Hassan SalehNew York Presbyterian/Weill Cornell Medical Center, New York, New York, USA. Electronic address: hrsaleh@live.com.
Jaikirshan KhatriNew York Presbyterian/Weill Cornell Medical Center, New York, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic total occlusion (CTO) interventions are frequently limited by incomplete angiographic information. We report the use of a novel artificial intelligence (AI)-based spatiotemporal enhancement processing (STEP) software (AngioWave Imaging), which identified both an antegrade crossing pathway and an epicardial collateral, neither of which was apparent on the unprocessed angiogram. These insights guided the procedural strategy, including the decision to attempt parallel wiring, thereby contributing to procedural success. CASE SUMMARY: A 59-year-old man presented with non-ST-segment elevation myocardial infarction, with the diagnostic angiogram revealing a culprit left anterior descending artery lesion and a circumflex CTO. After undergoing culprit vessel percutaneous coronary intervention (PCI), he was referred for CTO PCI. Angiographic assessment of the circumflex CTO was limited. Enhancement of the angiogram was performed using the STEP software, which revealed a microchannel and an epicardial collateral, both not evident on the unprocessed angiogram. On the basis of this information, we used a successful parallel wiring strategy. DISCUSSION: This case report presents the first clinical use of AI-based STEP image enhancement in PCI. Conventional angiography may fail to adequately delineate lesion architecture and collateral circulation, both of which are critical for CTO case planning. In this patient, AI-based enhancement identified an antegrade microchannel that enabled parallel wiring and avoided premature conversion to a retrograde strategy in a vessel not suitable for antegrade dissection and re-entry. STEP-enhanced angiograms provided actionable procedural guidance beyond standard imaging, underscoring their potential role in complex interventions. TAKE-HOME MESSAGES: Understand how STEP-based image-processing platforms can augment strategy selection in CTO PCI and reduce procedural time, radiation, and contrast exposure.

Indexed as

chronic total occlusioncoronary angiographyCTOenhanced angiogramimagingPCIpercutaneous coronary interventionspatiotemporal enhancement processing

Identifiers

PMID41342808
PMCPMC12881280

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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.