[1]宋凯,雷雨,武晓泓.冠脉CTA评估糖尿病冠状动脉疾病的研究进展[J].国际内分泌代谢杂志,2023,43(01):42-45.[doi:10.3760/cma.j.cn121383-20220416-04037]
 Song Kai,Lei Yu,Wu Xiaohong..Research progress of coronary CTA in the evaluation of diabetic coronary artery disease[J].International Journal of Endocrinology and Metabolism,2023,43(01):42-45.[doi:10.3760/cma.j.cn121383-20220416-04037]
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冠脉CTA评估糖尿病冠状动脉疾病的研究进展()
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《国际内分泌代谢杂志》[ISSN:1673-4157/CN:12-1383/R]

卷:
43
期数:
2023年01期
页码:
42-45
栏目:
综述
出版日期:
2023-01-20

文章信息/Info

Title:
Research progress of coronary CTA in the evaluation of diabetic coronary artery disease
作者:
宋凯1雷雨2武晓泓2
1浙江中医药大学第二临床医学院,杭州 310053; 2浙江省人民医院内分泌科 老年医学中心 杭州医学院附属人民医院,杭州 310014
Author(s):
Song Kai1 Lei Yu2 Wu Xiaohong2.
1The Second Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou 310053, China. 2Department of Endocrinology, Zhejiang Provincial People's Hospital, Geriatric Center, Affiliated People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
关键词:
糖尿病 冠状动脉疾病 CT血管成像 血流储备分数
Keywords:
Diabetes mellitus Coronary artery disease CT angiography Fractional flow reserve
DOI:
10.3760/cma.j.cn121383-20220416-04037
摘要:
糖尿病患者更易罹患冠状动脉疾病,如血管钙化、斑块、狭窄,或是血流储备能力下降,心肌灌注不足。近年来,冠脉CT血管成像技术取得了巨大进步,解剖学上可以评估冠状动脉的钙化、狭窄、斑块、心外膜脂肪,功能学上可以评估冠状动脉的血流储备分数和心肌灌注成像,提供血流动力学信息。通过CT技术全面、准确、综合的评价冠状动脉的解剖和功能特征,有利于筛查出高危患者,减少不良事件的发生,这对糖尿病冠状动脉疾病的防治具有重要意义。
Abstract:
People with diabetes are more likely to suffer from coronary artery disease, such as vascular calcification, plaque, stenosis, or decreased blood flow reserve capacity and insufficient myocardial perfusion. In recent years, coronary CT angiography technology has made great progress. Anatomically, it can evaluate coronary artery calcification, stenosis, plaque and epicardial fat. Functionally, it can evaluate coronary flow reserve fraction and myocardial perfusion imaging, and provide hemodynamic information. Comprehensive, accurate and comprehensive evaluation of the anatomical and functional characteristics of coronary artery by CT technology is helpful to screen out high-risk diabetic patients and reduce the occurrence of adverse events, which is of great significance for the prevention and treatment of diabetic coronary artery disease.

参考文献/References:

[1] American Diabetes Association Professional Practice Committee.10.Cardiovascular disease and risk management:standards of medical care in diabetes2022[J].Diabetes Care, 2022, 45(Suppl 1):S144S174.DOI: 10.2337/dc22S010.
[2] 白颖,丛佳林,程淑莉,等.急性心肌梗死患者中糖尿病人群的临床特点及随访研究[J].中华流行病学杂志,2019,40(6):692-696.DOI:10.3760/cma.j.issn.0254-6450.2019.06.017.
[3] Hecht HS,Cronin P,Blaha MJ,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[J].J Cardiovasc Comput Tomogr,2017,11(1):74-84.DOI:10.1016/j.jcct.2016.11.003.
[4] Cademartiri F,Maffei E,Palumbo A,et al.Coronary calcium score and computed tomography coronary angiography in high-risk asymptomatic subjects:assessment of diagnostic accuracy and prevalence of non-obstructive coronary artery disease[J].Eur Radiol,2010,20(4):846-854.DOI:10.1007/s00330-009-1612-2.
[5] Dzaye O,Dudum R,Mirbolouk M,et al.Validation of the Coronary Artery Calcium Data and Reporting System(CAC-DRS):Dual importance of CAC score and CAC distribution from the Coronary Artery Calcium(CAC)consortium[J].J Cardiovasc Comput Tomogr,2020,14(1):12-17.DOI:10.1016/j.jcct.2019.03.011.
[6] Detrano R,Guerci A,Carr J,et al.Coronary calcium as a predictor of coronary events in four racial or ethnic groups[J].N Engl J Med,2008,358(13):1336-1345.DOI:10.1056/NEJMoa072100.
[7] Knuuti J,Ballo H,Juarez-Orozco LE,et al.The performance of non-invasive tests to rule-in and rule-out significant coronary artery stenosis in patients with stable angina:a meta-analysis focused on post-test disease probability[J].Eur Heart J,2018,39(35):3322-3330.DOI:10.1093/eurheartj/ehy267.
[8] Beller E,Meinel FG,Schoeppe F,et al.Predictive value of coronary computed tomography angiography in asymptomatic individuals with diabetes mellitus:systematic review and meta-analysis[J].J Cardiovasc Comput Tomogr,2018,12(4):320-328.DOI:10.1016/j.jcct.2018.04.002.
[9] Zhang HW,Jin JL,Cao YX,et al.Association of diabetes mellitus with clinical outcomes in patients with different coronary artery stenosis[J].Cardiovasc Diabetol,2021,20(1):214.DOI:10.1186/s12933-021-01403-6.
[10] Sheng Z,Zhou P,Liu C,et al.Relationships of coronary culprit-plaque characteristics with duration of diabetes mellitus in acute myocardial infarction:an intravascular optical coherence tomography study[J].Cardiovasc Diabetol,2019,18(1):136.DOI:10.1186/s12933-019-0944-8.
[11] Andreini D,Conte E,Mushtaq S,et al.Plaque assessment by coronary CT angiography may predict cardiac events in high risk and very high risk diabetic patients:a long-term follow-up study[J].Nutr Metab Cardiovasc Dis,2022,32(3):586-595.DOI:10.1016/j.numecd.2021.11.013.
[12] Oikonomou EK,Marwan M,Desai MY,et al.Non-invasive detection of coronary inflammation using computed tomography and prediction of residual cardiovascular risk(the CRISP CT study):a post-hoc analysis of prospective outcome data[J].Lancet,2018,392(10151):929-939.DOI:10.1016/s0140-6736(18)31114-0.
[13] Ichikawa K,Miyoshi T,Osawa K,et al.High pericoronary adipose tissue attenuation on computed tomography angiography predicts cardiovascular events in patients with type 2 diabetes mellitus:post-hoc analysis from a prospective cohort study[J].Cardiovasc Diabetol,2022,21(1):44.DOI:10.1186/s12933-022-01478-9.
[14] Mancio J,Azevedo D,Saraiva F,et al.Epicardial adipose tissue volume assessed by computed tomography and coronary artery disease:a systematic review and meta-analysis[J].Eur Heart J Cardiovasc Imaging,2018,19(5):490-497.DOI:10.1093/ehjci/jex314.
[15] Archer JM,Raggi P,Amin SB,et al.Season and clinical factors influence epicardial adipose tissue attenuation measurement on computed tomography and may hamper its utilization as a risk marker[J].Atherosclerosis,2021,321:8-13.DOI:10.1016/j.atherosclerosis.2021.01.025.
[16] Svanteson M,Holte KB,Haig Y,et al.Coronary plaque characteristics and epicardial fat tissue in long term survivors of type 1 diabetes identified by coronary computed tomography angiography[J].Cardiovasc Diabetol,2019,18(1):58.DOI:10.1186/s12933-019-0861-x.
[17] 中华医学会放射学分会质量控制与安全管理专业委员会,江苏省医学会放射学分会智能影像与质量安全学组.冠状动脉CT血流储备分数应用中国专家建议[J].中华放射学杂志,2020,54(10):925-933.DOI:10.3760/cma.j.cn112149-20191108-00896.
[18] Celeng C,Leiner T,Maurovich-Horvat P,et al.Anatomical and functional computed tomography for diagnosing hemodynamically significant coronary artery disease:a meta-analysis[J].JACC Cardiovasc Imaging,2019,12(7 Pt 2):1316-1325.DOI:10.1016/j.jcmg.2018.07.022.
[19] Patel MR,Nørgaard BL,Fairbairn TA,et al.1-Year impact on medical practice and clinical outcomes of FFRCT:the ADVANCE registry[J].JACC Cardiovasc Imaging,2020,13(1 Pt 1):97-105.DOI:10.1016/j.jcmg.2019.03.003.
[20] Kim KH,Doh JH,Koo BK,et al.A novel noninvasive technology for treatment planning using virtual coronary stenting and computed tomography-derived computed fractional flow reserve[J].JACC Cardiovasc Interv,2014,7(1):72-78.DOI:10.1016/j.jcin.2013.05.024.
[21] Nous FMA,Coenen A,Boersma E,et al.Comparison of the diagnostic performance of coronary computed tomography angiography-derived fractional flow reserve in patients with versus without diabetes mellitus(from the MACHINE Consortium)[J].Am J Cardiol,2019,123(4):537-543.DOI:10.1016/j.amjcard.2018.11.024.
[22] Xue Y,Zheng MW,Hou Y,et al.Influence of diabetes mellitus on the diagnostic performance of machine learning-based coronary CT angiography-derived fractional flow reserve:a multicenter study[J].Eur Radiol,2022,32(6):3778-3789.DOI:10.1007/s00330-021-08468-7.
[23] Kitabata H,Leipsic J,Patel MR,et al.Incidence and predictors of lesion-specific ischemia by FFRCT:Learnings from the international ADVANCE registry[J].J Cardiovasc Comput Tomogr,2018,12(2):95-100.DOI:10.1016/j.jcct.2018.01.008.
[24] Tomizawa N,Fujino Y,Kamitani M,et al.Longer diabetes duration reduces myocardial blood flow in remote myocardium assessed by dynamic myocardial CT perfusion[J].J Diabetes Complications,2018,32(6):609-615.DOI:10.1016/j.jdiacomp.2018.03.003.
[25] 中华医学会内分泌学分会,中国成人2型糖尿病降压治疗目标研究工作组.2型糖尿病早期大血管病变无创性检查的中国专家共识[J].中华内分泌代谢杂志,2022,38(6):465-474.DOI:10.3760/cma.j.cn311282-20220518-00321.

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备注/Memo

备注/Memo:
通信作者:武晓泓,Email:drxhwu@163.com
基金项目:国家自然科学基金面上项目(81970714)
更新日期/Last Update: 2023-01-30