Evidence map›Paper›PMID 40962344›Full record

ArticleBMJ open2025

Diagnostic accuracy of strain and strain rate imaging detecting coronary artery disease in a stable chest pain population: a prospective diagnostic accuracy study.

Hatice Akay Caglayan, Didrik Kjønås, Mikhail Kornev, Amjid Iqbal, Mehran Jazbani, Assami Rösner

Abstract read
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Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hatice Akay CaglayanDepartment of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway hatiakay34@gmail.com.ORCID http://orcid.org/0009-0000-0155-0061
Didrik KjønåsDepartment of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway.
Mikhail KornevDepartment of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway.
Amjid IqbalDepartment of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway.
Mehran JazbaniDepartment of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway.
Assami RösnerDepartment of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesCoronary artery disease (CAD) is a major cause of morbidity and mortality worldwide, and detecting CAD in stable chest pain patients is challenging but crucial for early intervention. Strain and strain rate (S/SR) imaging offers a non-invasive method to assess myocardial function and detect coronary stenosis before symptoms occur. In this study, we aimed to demonstrate how effectively and accurately resting strain echocardiography can diagnose CAD.

designWe conducted a prospective diagnostic accuracy study of patients with chest pain who were referred for CT coronary angiography (CCTA).

settingSingle-centre study conducted in the University Hospital of North Norway in Tromsø, Norway between 2016 and 2021.

participantsA total of 510 patients with chest pain were included in the present study. BASELINE MEASURES: Echocardiography examination with S/SR imaging was performed. OUTCOME MEASURES: Echocardiography findings were compared with CCTA and coronary angiography findings. A novel scoring model incorporating S/SR parameters was developed to assess diagnostic accuracy.

resultsIn this study, we showed that receiver operating characteristic curve analysis of early diastolic strain rate (SRe), systolic strain rate (SRs) and peak longitudinal strain (PLS) has high sensitivity and specificity with area under the curve (AUC) scores: SRe, 0.91; PLS, 0.81; SRs, 0.71 in identifying patients undergoing coronary artery bypass graft (CABG). However, these parameters showed lower sensitivity and specificity with AUC scores: SRe, 0.580; SRs, 0.539; PLS, 0.552 in detecting patients undergoing percutaneous coronary intervention (PCI).

conclusionsOur study emphasises the potential of S/SR imaging in detecting CAD, particularly in high-risk CABG patients. However, its diagnostic utility in PCI patients is limited. Our study highlights the need for comprehensive approaches in coronary disease prediction.

Indexed as

Chest PainCoronary Artery DiseaseEchocardiographyAgedComputed Tomography AngiographyCoronary AngiographyFemaleHumansMaleMiddle AgedNorwayProspective StudiesROC CurveSensitivity and SpecificityAngina PectorisCARDIOLOGYCardiovascular DiseaseCardiovascular imagingCoronary heart diseaseEchocardiography

Identifiers

PMID40962344
PMCPMC12443200

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