关键词: Acute chest pain Acute coronary syndrome Aortic dissection Artificial intelligence Cardiopathie ischémique Coronary CT-scan Coronary artery disease Dissection aortique Douleur thoracique Embolie pulmonaire Intelligence artificielle Pulmonary embolism Scanner coronaire Syndrome coronaire aigu

来  源:   DOI:10.1016/j.ancard.2023.101641

Abstract:
Chest pain is one of the major causes for admission in the Emergency Room in most countries and one of the principal reasons for urgent consultation with a cardiologist or a general practitioner. After clinical examination and initial biological measurements, substantial patients require further explorations. CT scan allows the search for pulmonary embolism in the early stage of pulmonary arteries iodine contrast exploration. During the same exam at the systemic arterial phase, the search for aortic dissection or coronary artery disease is possible while exploring the later contrast in the aortic artery. This triple rule-out exam allows correct diagnosis in case of acute chest pain with suspected pulmonary embolism, aortic dissection and other acute aortic syndromes or acute coronary syndrome. But X-rays are substantially increased as well as iodine contrast agent quantity while exam quality is globally decreased. Artificial intelligence may play an important role in the development of this protocol.
摘要:
在大多数国家/地区,胸痛是急诊室入院的主要原因之一,也是与心脏病专家或全科医生进行紧急咨询的主要原因之一。经过临床检查和初步生物测量,大量患者需要进一步探索。CT扫描可以在肺动脉碘造影探查早期寻找肺栓塞。在全身动脉期的同一检查中,研究主动脉夹层或冠状动脉疾病是可能的,同时探索主动脉动脉的后期对比。这种三重排除检查可以在怀疑有肺栓塞的急性胸痛的情况下正确诊断,主动脉夹层和其他急性主动脉综合征或急性冠状动脉综合征。但是X射线以及碘造影剂的数量大大增加,而考试质量却在全球范围内下降。人工智能可能在该协议的开发中发挥重要作用。
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