Assessment of Regional Left Ventricular Myocardial Strain in Patients with Left Anterior Descending Coronary Stenosis Using Computed Tomography Feature Tracking

Abstract Background Computed Tomography feature tracking (CT-FT) has emerged as a valuable method for the assessment of cardiac function. However, there have been no study about the usefulness of CT-derived assessments of left ventricular strain on coronary artery disease (CAD). Our aim was to evaluate the regional left ventricular (LV) systolic deformation in patients with left anterior descending coronary (LAD) stenosis using CT-FT. Methods Seventy-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), 26–49% as group II (17 patients), 50–74% as group III (21 patients), and ≥ 75% as group IV (14 patients).Thirty-two sex- and age-matched normal subjects were included as controls. Results No 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% and − 18.5% and − 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 − 22.2% vs -25.4% and − 24.1% and − 25.3%, respectively). Compared with non-LAD territory, groups II-IV had significantly increased LS (-19.9% vs -21%; -18.6% vs -21.9%; -16.4% vs -20.1%). The severity of LAD stenosis had a positive correlation with the LS of the LAD territory (r = 0.438, p = 0.002). Conclusion CT‑FT can detect decreasing LV systolic function in patients with LAD stenosis. With the increasing severity of LAD stenosis, the LV regional systolic deformation of the LAD territory was reduced..

Medienart:

Preprint

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

ResearchSquare.com - (2022) vom: 28. Juli Zur Gesamtaufnahme - year:2022

Sprache:

Englisch

Beteiligte Personen:

Han, Xiaoyu [VerfasserIn]
Cao, Yukun [VerfasserIn]
Ju, Zhiguo [VerfasserIn]
Lu, Jia [VerfasserIn]
Li, Na [VerfasserIn]
Li, Yumin [VerfasserIn]
Liu, Tong [VerfasserIn]
Shi, Heshui [VerfasserIn]
Gu, Jin [VerfasserIn]

Links:

Volltext [lizenzpflichtig]
Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.21203/rs.3.rs-25776/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA033916446