Identification of vulnerable non-culprit lesions by coronary computed tomography angiography in patients with chronic coronary syndrome and diabetes mellitus
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Hongliang Cong | Chang Liu | Chengjian Wang | Shuo Wang | Jia Zhou | Yufan Gao | Chunjie Li | Ying Zhang | Yu Xue | Jia Zhao | Minghui Wang | Hong Zhang | Cun Xie | Shuo Liang | Jia Zhao
[1] N. Frey,et al. Coronary Computed Tomography vs. Cardiac Magnetic Resonance Imaging in the Evaluation of Coronary Artery Disease , 2022, Diagnostics.
[2] M. Renker,et al. Association of epicardial adipose tissue with coronary CT angiography plaque parameters on cardiovascular outcome in patients with and without diabetes mellitus. , 2022, Atherosclerosis.
[3] Seung‐Jung Park,et al. Routine Functional Testing or Standard Care in High-Risk Patients after PCI. , 2022, The New England journal of medicine.
[4] F. Otsuka,et al. Elevated Lipoprotein(a) as a potential residual risk factor associated with lipid-rich coronary atheroma in patients with type 2 diabetes and coronary artery disease on statin treatment: Insights from the REASSURE-NIRS registry. , 2022, Atherosclerosis.
[5] D. Dey,et al. Deep learning-enabled coronary CT angiography for plaque and stenosis quantification and cardiac risk prediction: an international multicentre study , 2022, The Lancet. Digital health.
[6] Ying Jin,et al. Validation and Comparison of PROMISE and CONFIRM Model to Predict High-Risk Coronary Artery Disease in Symptomatic and Diabetes Mellitus Patients. , 2022, Reviews in cardiovascular medicine.
[7] U. Schoepf,et al. Prognostic Utility of Coronary Computed Tomography Angiography-derived Plaque Information on Long-term Outcome in Patients With and Without Diabetes Mellitus , 2021, Journal of thoracic imaging.
[8] Huixia Lu,et al. Association Between Stent Implantation and Progression of Nontarget Lesions in a Rabbit Model of Atherosclerosis , 2021, Circulation. Cardiovascular interventions.
[9] Yundai Chen,et al. Comparison of Different Investigation Strategies to Defer Cardiac Testing in Patients With Stable Chest Pain. , 2021, JACC. Cardiovascular imaging.
[10] Y. Asaumi,et al. Comparison of coronary atherosclerotic features in response to achieving LDL-C <55 mg/dl between non-diabetic and diabetic patients: insights from the REASSURE-NIRS registry , 2021, European Heart Journal.
[11] Junhua Zhang,et al. Core outcome set for stable angina pectoris in traditional Chinese medicine (COS-SAP-TCM) , 2021, Acupuncture and Herbal Medicine.
[12] J. Granada,et al. Thin-cap fibroatheroma predicts clinical events in diabetic patients with normal fractional flow reserve: the COMBINE OCT-FFR trial. , 2021, European heart journal.
[13] M. Mack,et al. Impact of Optimal Medical Therapy on 10-Year Mortality After Coronary Revascularization. , 2021, Journal of the American College of Cardiology.
[14] ShengOlivia R. Liu,et al. Identification of vulnerable plaques and patients by intracoronary near-infrared spectroscopy and ultrasound (PROSPECT II): a prospective natural history study , 2021, The Lancet.
[15] F. Otsuka,et al. The feasibility and limitation of coronary computed tomographic angiography imaging to identify coronary lipid-rich atheroma in vivo: Findings from near-infrared spectroscopy analysis. , 2021, Atherosclerosis.
[16] J. Ge,et al. Precision medicine in coronary artery disease: Time for implementation into practice , 2021 .
[17] D. Dey,et al. Society of Cardiovascular Computed Tomography / North American Society of Cardiovascular Imaging - Expert consensus document on coronary CT imaging of atherosclerotic plaque. , 2020, Journal of cardiovascular computed tomography.
[18] L. Räber,et al. Letter by Siontis and Räber Regarding Article, "Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction: Results From the Multicenter SCOT-HEART Trial (Scottish Computed Tomography of the HEART)". , 2020, Circulation.
[19] Ulf J Jensen,et al. Percutaneous Coronary Intervention for Vulnerable Coronary Atherosclerotic Plaque. , 2020, Journal of the American College of Cardiology.
[20] M. E. Kooi,et al. Contemporary rationale for non-invasive imaging of adverse coronary plaque features to identify the vulnerable patient: a Position Paper from the European Society of Cardiology Working Group on Atherosclerosis and Vascular Biology and the European Association of Cardiovascular Imaging. , 2020, European heart journal cardiovascular Imaging.
[21] S. Rajagopalan,et al. Cardiac Computed Tomography for Personalized Management of Patients With Type 2 Diabetes Mellitus , 2020, Circulation. Cardiovascular imaging.
[22] R. Virmani,et al. Vulnerable plaques and patients: state-of-the-art. , 2020, European heart journal.
[23] Sean M. O'Brien,et al. Initial Invasive or Conservative Strategy for Stable Coronary Disease. , 2020, The New England journal of medicine.
[24] E. V. van Beek,et al. Low-Attenuation Noncalcified Plaque on Coronary Computed Tomography Angiography Predicts Myocardial Infarction , 2020, Circulation.
[25] Marco Valgimigli,et al. 2019 ESC Guidelines for the diagnosis and management of chronic coronary syndromes. , 2019, European heart journal.
[26] Habib Samady,et al. Identification of patients and plaques vulnerable to future coronary events with near-infrared spectroscopy intravascular ultrasound imaging: a prospective, cohort study , 2019, The Lancet.
[27] V. Fuster,et al. From Detecting the Vulnerable Plaque to Managing the Vulnerable Patient: JACC State-of-the-Art Review. , 2019, Journal of the American College of Cardiology.
[28] P. Libby,et al. From Focal Lipid Storage to Systemic Inflammation: JACC Review Topic of the Week. , 2019, Journal of the American College of Cardiology.
[29] Eloisa Arbustini,et al. Relationship between coronary plaque morphology of the left anterior descending artery and 12 months clinical outcome: the CLIMA study. , 2019, European heart journal.
[30] Yaiza Beatriz Molero-Díez,et al. Fourth universal definition of myocardial infarction , 2019, Colombian Journal of Anesthesiology.
[31] Charles A. Taylor,et al. Identification of High-Risk Plaques Destined to Cause Acute Coronary Syndrome Using Coronary Computed Tomographic Angiography and Computational Fluid Dynamics. , 2019, JACC. Cardiovascular imaging.
[32] Hyuk-Jae Chang,et al. Prognostic Implications of Plaque Characteristics and Stenosis Severity in Patients With Coronary Artery Disease. , 2019, Journal of the American College of Cardiology.
[33] E. V. van Beek,et al. Coronary Artery Plaque Characteristics Associated With Adverse Outcomes in the SCOT-HEART Study , 2019, Journal of the American College of Cardiology.
[34] Volkmar Falk,et al. 2018 ESC/EACTS Guidelines on myocardial revascularization. , 2018, European heart journal.
[35] B. Lewis,et al. Plaque Morphology as Predictor of Late Plaque Events in Patients With Asymptomatic Type 2 Diabetes: A Long-Term Observational Study. , 2019, JACC. Cardiovascular imaging.
[36] Patrick W Serruys,et al. Prognostic Value of Intravascular Ultrasound in Patients With Coronary Artery Disease. , 2018, Journal of the American College of Cardiology.
[37] Kristian Thygesen,et al. Fourth Universal Definition of Myocardial Infarction (2018). , 2018, Journal of the American College of Cardiology.
[38] Jeroen J. Bax,et al. Coronary Atherosclerotic Precursors of Acute Coronary Syndromes. , 2018, Journal of the American College of Cardiology.
[39] Michael T. Lu,et al. Use of High-Risk Coronary Atherosclerotic Plaque Detection for Risk Stratification of Patients With Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial , 2018, JAMA cardiology.
[40] M. Delgado-Rodríguez,et al. Systematic review and meta-analysis. , 2017, Medicina intensiva.
[41] H. Rashid,et al. Computed Tomographic Coronary Angiography–Derived Plaque Characteristics Predict Major Adverse Cardiovascular Events: A Systematic Review and Meta-Analysis , 2018, Circulation. Cardiovascular imaging.
[42] M. Budoff,et al. 2016 SCCT/STR guidelines for coronary artery calcium scoring of noncontrast noncardiac chest CT scans: A report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology. , 2017, Journal of thoracic imaging.
[43] H. Suryapranata,et al. Is ischemia the only factor predicting cardiovascular outcomes in all diabetes mellitus patients? , 2017, Cardiovascular Diabetology.
[44] P. Serruys,et al. Impact of TCFA on Unanticipated Ischemic Events in Medically Treated Diabetes Mellitus: Insights From the PROSPECT Study. , 2017, JACC. Cardiovascular imaging.
[45] V. Fuster,et al. Medical Treatment and Revascularization Options in Patients With Type 2 Diabetes and Coronary Disease. , 2016, Journal of the American College of Cardiology.
[46] J. Ottervanger,et al. Clinical outcomes of deferred revascularisation using fractional flow reserve in patients with and without diabetes mellitus , 2016, Cardiovascular Diabetology.
[47] H. Bøtker,et al. Coronary plaque quantification and fractional flow reserve by coronary computed tomography angiography identify ischaemia-causing lesions , 2016, European heart journal.
[48] Y. Jang,et al. Limitations of coronary computed tomographic angiography for delineating the lumen and vessel contours of coronary arteries in patients with stable angina. , 2015, European heart journal cardiovascular Imaging.
[49] D. Berman,et al. Atherosclerotic plaque characterization by CT angiography for identification of high-risk coronary artery lesions: a comparison to optical coherence tomography. , 2015, European heart journal cardiovascular Imaging.
[50] G. Stone,et al. Impact of coronary lesion complexity on drug-eluting stent outcomes in patients with and without diabetes mellitus: analysis from 18 pooled randomized trials. , 2014, Journal of the American College of Cardiology.
[51] W. B. Meijboom,et al. Prognostic implications of non-culprit plaques in acute coronary syndrome: non-invasive assessment with coronary CT angiography. , 2014, European heart journal cardiovascular Imaging.
[52] Bo Yu,et al. In vivo diagnosis of plaque erosion and calcified nodule in patients with acute coronary syndrome by intravascular optical coherence tomography. , 2013, Journal of the American College of Cardiology.
[53] M. Goddard,et al. Atherosclerotic Plaque Composition and Classification Identified by Coronary Computed Tomography: Assessment of Computed Tomography–Generated Plaque Maps Compared With Virtual Histology Intravascular Ultrasound and Histology , 2013, Circulation. Cardiovascular imaging.
[54] Helmut Baumgartner,et al. ESC / EACTS Guidelines on myocardial revascularization , 2014 .
[55] Akiko Maehara,et al. A prospective natural-history study of coronary atherosclerosis. , 2011, The New England journal of medicine.
[56] Damini Dey,et al. Automated three-dimensional quantification of noncalcified coronary plaque from coronary CT angiography: comparison with intravascular US. , 2010, Radiology.
[57] V. Preedy,et al. Prospective Cohort Study , 2010 .
[58] Markus Voelter,et al. State of the Art , 1997, Pediatric Research.