ArticleBMC cardiovascular disorders2020
Assessment of regional left ventricular myocardial strain in patients with left anterior descending coronary stenosis using computed tomography feature tracking.
Article in BMC cardiovascular disorders, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 11 citations in OpenAlex.
- Cardiac Structural and Functional Evaluation Using a Heart Motion Correction Algorithm for Coronary Computed Tomography Angiography in Patients With High Heart Rates.Reviews in cardiovascular medicine · 2026Article
- Application of low-dose "one-stop" myocardial computed tomography perfusion imaging in coronary artery disease.Quantitative imaging in medicine and surgery · 2026Article
- Development and validation of a diagnostic nomogram to predict significant stenosis of the left anterior descending branch of the coronary artery by stress echocardiography.Quantitative imaging in medicine and surgery · 2025Article
- A comparative analysis of myocardial strain and strain rate in cardiac computed tomography and magnetic resonance feature tracking.La Radiologia medica · 2025Article
- Myocardial extracellular volume fraction with spectral detector computed tomography for risk stratification in non-ischemic heart failure.La Radiologia medica · 2025Article
- Article
- Correlation between CT-derived fractional flow reserve and myocardial strain in ischemic heart disease patients with single coronary artery stenosis assessed based on CCTA.Frontiers in cardiovascular medicine · 2025Article
- Predictive nomogram model for severe coronary artery calcification in end-stage kidney disease patients.Renal failure · 2024Article
- Article
- Position Statement on the Use of Myocardial Strain in Cardiology Routines by the Brazilian Society of Cardiology's Department Of Cardiovascular Imaging - 2023.Arquivos brasileiros de cardiologia · 2023Article
- Quantifying left ventricular myocardial strain in patients with different CAD-RADS levels based on computed tomography feature tracking technology.Scientific reports · 2023Article
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9 authors at 2 institutions in 1 country.
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Abstract
backgroundComputed tomography feature tracking (CT-FT) has emerged as a valuable method for the assessment of cardiac function. However, no studies have investigated the usefulness of CT-derived assessments of left ventricular (LV) strain in coronary artery disease (CAD). Our aim was to evaluate regional LV systolic deformation in patients with left anterior descending coronary artery (LAD) stenosis using CT-FT.
methodsSeventy-six patients with LAD stenosis were enrolled. The patients were divided into four groups according to the percentage of LAD stenosis: ≤25% was defined as group I (24 patients), 26 to 49% as group II (17 patients), 50 to 74% as group III (21 patients), and ≥ 75% as group IV (14 patients). Thirty-two sex- and age-matched healthy subjects were included as controls.
resultsNo intergroup differences were found between groups I-IV and the controls in terms of the left ventricular ejection fraction, end-diastolic volume and end-systolic volume. However, the longitudinal strain (LS) of the LAD territory was significantly reduced in groups I-IV compared with the controls (- 20.8, - 18.6%, - 18.6%, and - 17.0% vs - 23.7%, respectively). The circumferential strain (CS) of the LAD territory was significantly reduced in groups III and IV compared with the controls and groups I and II (- 22.4% and - 22.1% vs - 25.4, - 24.1%, and - 25.3%, respectively). Compared with the non-LAD territory, the LAD territory in groups II-IV showed significantly increased LS (- 18.6% vs - 21.9%, p = 0.07; - 18.6% vs - 21.9%, p = 0.024; - 17.5% vs - 20%, p = 0.032, respectively). The severity of LAD stenosis was positively correlated with the LS of the LAD territory (r = 0.438, p = 0.002).
conclusionCT-FT can detect decreasing LV systolic function in patients with LAD stenosis. LV regional systolic deformation of the LAD territory was reduced with increasing LAD stenosis severity.
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