Cardiothoracic Centre, Guy's and St Thomas' Hospital, London, United Kingdom; King's College London, United Kingdom.
Cardiothoracic Centre, Guy's and St Thomas' Hospital, London, United Kingdom; King's College London, United Kingdom.
Eur J Intern Med. 2021 Feb;84:10-13. doi: 10.1016/j.ejim.2020.12.020. Epub 2021 Jan 8.
Tiresias was the blind prophet of Apollo in Thebes. Tiresias is a symbolic figure, which embodies a paradox: he is blind in the physical sense, but his knowledge surpasses all, as opposed to Oedipus who cannot see despite having a good eyesight. Cardiac imaging can be considered the technological extension of human eyes, which has clearly revolutionised the diagnostic approach in Cardiology and specifically in heart failure. Echocardiography contributed to an approach focused on the ejection fraction (EF) which is the cornerstone of the most recent classifications of heart failure. The recent advances in cardiac imaging raised our ability to understand the aetiological roots of disease. However, the increasing amount of information generated by the plethora of diagnostic imaging techniques raises the challenge of clinical significance. The explosion of "big data" in cardiac imaging may also impact on classifications and nomenclature and on our ability to cluster and categorize, an exercise that is becoming remarkably challenging when the quest for the particular is taken to the extreme and the infinitesimal. The essence of cardiac conditions causing heart failure would probably not entirely captured by an approach only focused on the direct visualization of the heart. Delivery of personalized medicine would not be based only on cardiac imaging, but through an holistic approach which overcomes the mere assessment of empiric reality as it appears to our eyes through the lens of increasingly advanced diagnostic techniques.
提瑞西阿斯是底比斯的阿波罗盲先知。提瑞西阿斯是一个象征性的人物,他体现了一个悖论:他在身体上是盲的,但他的知识超越了一切,与奥狄浦斯形成了鲜明的对比,奥狄浦斯视力很好,但却无法看到。心脏成像可以被认为是人类眼睛的技术延伸,它显然彻底改变了心脏病学的诊断方法,特别是在心力衰竭方面。超声心动图促成了一种以射血分数(EF)为重点的方法,这是心力衰竭最新分类的基石。心脏成像的最新进展提高了我们理解疾病病因的能力。然而,大量诊断成像技术所产生的信息增加了临床意义的挑战。心脏成像中“大数据”的爆炸式增长也可能影响分类和命名法,以及我们聚类和分类的能力,当我们追求特殊性并将其推向极致和无限小时,这种分类和分类的能力就变得极具挑战性。导致心力衰竭的心脏状况的本质可能不会完全被仅关注心脏直接可视化的方法所捕捉。个性化医疗的提供不会仅仅基于心脏成像,而是通过一种整体方法,该方法克服了仅仅通过我们通过日益先进的诊断技术的镜头来评估经验现实的局限性。