Evidence map›Paper›PMID 38651080›Full record

ArticleEuropean heart journal. Case reports2024

Artificial intelligence-powered insights into high-risk, non-obstructive coronary atherosclerosis: a case report.

Andrea Provera, Daniele Andreini, Kersten Petersen, Emanuele Gallinoro, Edoardo Conte

Open access · goldAbstract readCase Reports
In one paragraph

Article in European heart journal. Case reports, 2024. 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, top 93% of its field
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, 0 citations in OpenAlex.

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 at 2 institutions in 2 countries.

Andrea ProveraDepartment of Clinical and Biomedical Sciences, University of Milan, Milan, Italy.
Daniele AndreiniDepartment of Clinical and Biomedical Sciences, University of Milan, Milan, Italy.
Kersten PetersenHeartFlow, Inc., Redwood City, CA, USA.
Emanuele GallinoroDepartment of Clinical Cardiology and Cardiovascular Imaging, IRCCS Ospedale Galeazzi Sant'Ambrogio, Via Cristina Belgioioso 173, Milan 20157, Italy.
Edoardo ConteDepartment of Clinical Cardiology and Cardiovascular Imaging, IRCCS Ospedale Galeazzi Sant'Ambrogio, Via Cristina Belgioioso 173, Milan 20157, Italy.ORCID https://orcid.org/0000-0003-1443-5788
University of Milan · ITHeartFlow (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced coronary plaque analysis by cardiac computed tomography (CT) has recently emerged as a promising technique for better prognostic stratification. However, this evaluation application in clinical practice is still uncertain. Case summary: In the present case, we described the clinical picture of a 44-year-old tennis player with ectopic ventricular beats in which cardiac CT enabled the identification of a non-obstructive but high-risk plaque on proximal left anterior descendent artery. The application of artificial intelligence (AI)-enhanced software enabled to better stratify the patients' risk. The present case describes how early identification of non-obstructive but high-risk coronary plaque evaluated by cardiac CT using AI-enhanced software enabled accurate and personalized risk assessment. Discussion: The main clinical message of this case report is that advanced plaque analysis by cardiac CT, especially when performed with AI-based software, may provide important prognostic information leading to a personalized preventive approach. Moreover, AI-based software may contribute to promote a routine evaluation of these important data already included in traditional cardiac CT.

Indexed as

Artificial intelligenceCase reportPlaque analysis

Identifiers

PMID38651080
PMCPMC11033843
OpenAlexW4394695421

What OpenQuestion holds

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LicenceCC BY
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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.