Values of three-dimensional speckle tracking imaging for the diagnosis of coronary artery disease

References

• Duggan JP, Peters AS, Trachiotis GD, et al. Epidemiology of coronary artery disease. Surg Clin North Am. 2022;102(3):499–516. doi: 10.1016/j.suc.2022.01.007.
   PubMed Web of Science ®Google Scholar
• Modi BN, Sankaran S, Kim HJ, et al. Predicting the physiological effect of revascularization in serially diseased coronary arteries: clinical validation of a novel CT coronary angiography–based technique. Circ Cardiovasc Interv. 2019;12:e007577.
   PubMed Web of Science ®Google Scholar
• Reynolds HR, Maehara A, Kwong RY, et al. Coronary optical coherence tomography and cardiac magnetic resonance imaging to determine underlying causes of myocardial infarction with nonobstructive coronary arteries in women. Circulation. 2021;143(7):624–640. doi: 10.1161/CIRCULATIONAHA.120.052008.
   PubMed Web of Science ®Google Scholar
• Pastore MC, Mandoli GE, Contorni F, et al. Speckle tracking echocardiography: early predictor of diagnosis and prognosis in coronary artery disease. Biomed Res Int. 2021;2021:6685378–6685311. doi: 10.1155/2021/6685378.
   PubMed Web of Science ®Google Scholar
• Nazir MS, Bustin A, Hajhosseiny R, et al. High-resolution non-contrast free-breathing coronary cardiovascular magnetic resonance angiography for detection of coronary artery disease: validation against invasive coronary angiography. J Cardiovasc Magn Reson. 2022;24(1):26. doi: 10.1186/s12968-022-00858-0.
   PubMed Web of Science ®Google Scholar
• Kwong RY, Ge Y, Steel K, et al. Cardiac magnetic resonance stress perfusion imaging for evaluation of patients with chest pain. J Am Coll Cardiol. 2019;74(14):1741–1755. doi: 10.1016/j.jacc.2019.07.074.
   PubMed Web of Science ®Google Scholar
• Vasudev R, Guragai N, Habib H, et al. The utility of bedside echocardiography in critically ill COVID‐19 patients: early observational findings from three Northern New Jersey hospitals. Echocardiography. 2020;37(9):1362–1365. doi: 10.1111/echo.14825.
   PubMed Web of Science ®Google Scholar
• Klaeboe LG, Edvardsen T. Echocardiographic assessment of left ventricular systolic function. J Echocardiogr. 2019;17(1):10–16. doi: 10.1007/s12574-018-0405-5.
   PubMed Web of Science ®Google Scholar
• Volpato V, Ciampi P, Johnson R, et al. Feasibility and time analysis of three-dimensional and myocardial deformation versus conventional two-dimensional echocardiography to assess cardiac chambers. J Am Soc Echocardiogr. 2022;35(10):1102–1105. doi: 10.1016/j.echo.2022.05.017.
   PubMed Web of Science ®Google Scholar
• Zheng K, Bao Y, Zhu Y, et al. Feasibility of automated measurement of left ventricular volume and function using machine learning-based three-dimensional echocardiography. Chin J Med Ultrasound (Electronic Edition). 2021;18:1140.
   Google Scholar
• Ziheng Y, Pan H, Cheng Z, et al. Evaluation of left ventricular systolic function in patients with coronary microvascular dysfunction by three-dimensional speckle-tracking imaging. Brazilian J Cardiovasc Surg. 2021;37:321–327.
   Web of Science ®Google Scholar
• Xu Y, Shi J, Zhao R, et al. Anthracycline induced inconsistent left ventricular segmental systolic function variation in patients with lymphoma detected by three-dimensional speckle tracking imaging. Int J Cardiovasc Imaging. 2019;35(5):771–779. doi: 10.1007/s10554-018-1510-2.
   PubMed Web of Science ®Google Scholar
• Rampidis GP, Benetos G, Benz DC, et al. A guide for Gensini score calculation. Atherosclerosis. 2019;287:181–183. doi: 10.1016/j.atherosclerosis.2019.05.012.
   PubMed Web of Science ®Google Scholar
• Chen D, Yan Z, Fan L, et al. Evaluation of cardiac function before and after PAD regimen in patients with multiple myeloma by three-dimensional speckle tracking imaging. J Healthc Eng. 2022;2022:1849969. doi: 10.1155/2022/1849969.
   PubMedGoogle Scholar
• Wang Y, Lu C, Li H, et al. 3D-STI evaluation of the effect of dexrazoxane on the mechanical properties of right ventricular myocardium in breast cancer patients treated with pirarubicin. Ann Palliat Med. 2020;9(3):1187–1197. doi: 10.21037/apm-20-1074.
   PubMed Web of Science ®Google Scholar
• Li Y, Zhang R, Liu W, et al. Evaluation of right ventricular systolic function in patients with chronic renal insufficiency with 3D-STI. Progress in Modern Biomedicine 2019;22: 4060–4101. doi: 10.13241/j.cnki.pmb.2022.21.010.
   Google Scholar
• Dogdus M, Simsek E, Cinar CS. 3D-speckle tracking echocardiography for assessment of coronary artery disease severity in stable angina pectoris. Echocardiography. 2019;36(2):320–327. doi: 10.1111/echo.14214.
   PubMed Web of Science ®Google Scholar
• Dogdus M, Kucukosmanoglu M, Kilic S. Assessment of the impact of isolated coronary artery ectasia on left ventricular functions with 3D speckle-tracking echocardiography. Echocardiography. 2019;36(12):2209–2215. doi: 10.1111/echo.14533.
   PubMed Web of Science ®Google Scholar
• Dogdus M, Demir E, Cinar CS, et al. Coronary tortuosity affects left ventricular myocardial functions: a 3D-speckle tracking echocardiography study. Int J Cardiovasc Imaging. 2020;36(4):627–632. doi: 10.1007/s10554-019-01760-0.
   PubMed Web of Science ®Google Scholar
• Taskin U, Mammadov G, Topaloglu C, et al. Evaluation of left atrial and left ventricular functions with 3D speckle-tracking echocardiography in patients with coronary artery tortuosity. Echocardiography. 2023;40(11):1237–1242. doi: 10.1111/echo.15702.
   PubMed Web of Science ®Google Scholar
• Yu C, Li S, Ghista D, et al. Multi-level multi-type self-generated knowledge fusion for cardiac ultrasound segmentation. Inf. Fusion. 2023;92:1–12. doi: 10.1016/j.inffus.2022.11.004.
   Web of Science ®Google Scholar
• Xu L, Huang X, Ma J, et al. Value of three-dimensional strain parameters for predicting left ventricular remodeling after ST-elevation myocardial infarction. Int J Cardiovasc Imaging. 2017;33(5):663–673. doi: 10.1007/s10554-016-1053-3.
   PubMed Web of Science ®Google Scholar
• Song L, Zhao X, Lv W, et al. Preliminary study on the diagnostic value of cardiac magnetic resonance feature tracking for malignant ventricular arrhythmias in non-ischemic dilated cardiomyopathy. Ann Transl Med. 2022;10(4):215. doi: 10.21037/atm-22-660.
   PubMed Web of Science ®Google Scholar
• Backhaus SJ, Aldehayat H, Kowallick JT, et al. Artificial intelligence fully automated myocardial strain quantification for risk stratification following acute myocardial infarction. Sci Rep. 2022;12(1):12220. doi: 10.1038/s41598-022-16228-w.
   PubMedGoogle Scholar
• Zhong J, Liu P, Li S, et al. A comparison of three-dimensional speckle tracking echocardiography parameters in predicting left ventricular remodeling. J Healthc Eng. 2020;2020:8847144
   PubMed Web of Science ®Google Scholar
• Deng W, Xie M, Lv Q, et al. Early left ventricular remodeling and subclinical cardiac dysfunction in systemic lupus erythematosus: a three-dimensional speckle tracking study. Int J Cardiovasc Imaging. 2020;36(7):1227–1235. doi: 10.1007/s10554-020-01816-6.
   PubMed Web of Science ®Google Scholar
• Negishi T, Negishi K, Thavendiranathan P, et al. Effect of experience and training on the concordance and precision of strain measurements. JACC Cardiovasc Imaging. 2017;10(5):518–522. doi: 10.1016/j.jcmg.2016.06.012.
   PubMed Web of Science ®Google Scholar
• Rösner A, Barbosa D, Aarsæther E, et al. The influence of frame rate on two-dimensional speckle-tracking strain measurements: a study on silico-simulated models and images recorded in patients. Eur Heart J Cardiovasc Imaging. 2015;16(10):1137–1147. doi: 10.1093/ehjci/jev058.
   PubMed Web of Science ®Google Scholar
• Mirea O, Pagourelias ED, Duchenne J, et al. Intervendor differences in the accuracy of detecting regional functional abnormalities: a report from the EACVI-ASE strain standardization task force. JACC Cardiovasc Imaging. 2018;11(1):25–34. doi: 10.1016/j.jcmg.2017.02.014.
   PubMed Web of Science ®Google Scholar