Wamil Malgorzata, Goncalves Marcos, Rutherford Alexander, Borlotti Alessandra, Pellikka Patricia Ann
Mayo Clinic Healthcare, London, United Kingdom.
Deep Medicine, Oxford Martin School, Medical Science Division, Nuffield Department of Women's and Reproductive Health, University of Oxford, Oxford, United Kingdom.
Front Cardiovasc Med. 2022 Nov 3;9:1043711. doi: 10.3389/fcvm.2022.1043711. eCollection 2022.
Diabetic heart disease is a major healthcare problem. Patients with diabetes show an excess of death from cardiovascular causes, twice as high as the general population and those with diabetes type 1 and longer duration of the disease present with more severe cardiovascular complications. Premature coronary artery disease and heart failure are leading causes of morbidity and reduced life expectancy. Multimodality cardiac imaging, including echocardiography, cardiac computed tomography, nuclear medicine, and cardiac magnetic resonance play crucial role in the diagnosis and management of different pathologies included in the definition of diabetic heart disease. In this review we summarise the utility of multi-modality cardiac imaging in characterising ischaemic and non-ischaemic causes of diabetic heart disease and give an overview of the current clinical practice. We also describe emerging imaging techniques enabling early detection of coronary artery inflammation and the non-invasive characterisation of the atherosclerotic plaque disease. Furthermore, we discuss the role of MRI-derived techniques in studying altered myocardial metabolism linking diabetes with the development of diabetic cardiomyopathy. Finally, we discuss recent data regarding the use of artificial intelligence applied to large imaging databases and how those efforts can be utilised in the future in screening of patients with diabetes for early signs of disease.
糖尿病性心脏病是一个重大的医疗保健问题。糖尿病患者心血管疾病导致的死亡人数过多,是普通人群的两倍,1型糖尿病患者且病程较长者会出现更严重的心血管并发症。冠状动脉疾病和心力衰竭过早是发病和预期寿命缩短的主要原因。多模态心脏成像,包括超声心动图、心脏计算机断层扫描、核医学和心脏磁共振成像,在糖尿病性心脏病定义中所包含的不同病理状况的诊断和管理中发挥着关键作用。在本综述中,我们总结了多模态心脏成像在鉴别糖尿病性心脏病的缺血性和非缺血性病因方面的作用,并概述了当前的临床实践。我们还描述了能够早期检测冠状动脉炎症和对动脉粥样硬化斑块疾病进行无创特征描述的新兴成像技术。此外,我们讨论了磁共振成像衍生技术在研究将糖尿病与糖尿病性心肌病发展联系起来的心肌代谢改变方面的作用。最后,我们讨论了有关将人工智能应用于大型成像数据库的最新数据,以及这些成果未来如何用于筛查糖尿病患者的疾病早期迹象。