{
  "abstract": "Objectives Coronary 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.Design We conducted a prospective diagnostic accuracy study of patients with chest pain who were referred for CT coronary angiography (CCTA).Setting Single-centre study conducted in the University Hospital of North Norway in Tromsø, Norway between 2016 and 2021.Participants A 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.Results In 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).Conclusions Our 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.",
  "authors": [
    {
      "affiliations": [
        "Department of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway",
        "Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway"
      ],
      "name": "Hatice Akay Caglayan"
    },
    {
      "affiliations": [
        "Department of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway",
        "Department of Gastrointestinal Surgery, University Hospital of North Norway, Tromso, Norway"
      ],
      "name": "Didrik Kjønås"
    },
    {
      "affiliations": [
        "Department of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway",
        "Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway"
      ],
      "name": "Mikhail Kornev"
    },
    {
      "affiliations": [
        "Department of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway",
        "Department of Cardiology, Oslo University Hospital, Oslo, Norway"
      ],
      "name": "Amjid Iqbal"
    },
    {
      "affiliations": [
        "Department of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway"
      ],
      "name": "Mehran Jazbani"
    },
    {
      "affiliations": [
        "Department of Cardiology, Division of Cardiothoracic and Respiratory Medicine, University Hospital of North Norway, Tromso, Norway",
        "Department of Clinical Medicine, UiT The Arctic University of Norway, Tromso, Norway"
      ],
      "name": "Assami Rösner"
    }
  ],
  "title": "Diagnostic accuracy of strain and strain rate imaging detecting coronary artery disease in a stable chest pain population: a prospective diagnostic accuracy study",
  "uid": "bed3d72b-4d9c-5236-a7e1-3065e126f8d4"
}