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CT imaging of chronic obstructive pulmonary disease: insights, disappointments, and promise
The Lancet Respiratory Medicine ( IF 76.2 ) Pub Date : 2017-09-28 , DOI: 10.1016/s2213-2600(17)30345-4
George R Washko , Harvey O Coxson , Denis E O'Donnell , Shawn D Aaron

CT imaging is a readily quantifiable tool that can provide in-vivo assessments of lung structure in conditions such as chronic obstructive pulmonary disease (COPD). The information extracted from these data has been used in many clinical, epidemiological, and genetic investigations for patient stratification and prognostication, and to determine intermediate endpoints for clinical trials. Although these efforts have informed our understanding of the heterogeneity of pulmonary disease in smokers, they have not yet translated into new treatments for COPD or the personalisation of patient care. There are a multitude of potential reasons for this, including the lack of insight that static imaging provides for lung function and dysfunction, the limited resolution of clinical CT scanning for microscopic changes to the lung architecture, and the challenges that the biomedical community faces when trying to translate discovery to therapy. Such limitations might be addressed through novel image analysis techniques, up-and-coming CT-based and MRI-based technologies, closer ties between academia and industry, and an expanded endeavour to share data across the biomedical community.



中文翻译:

慢性阻塞性肺疾病的CT成像:见解,失望和希望

CT成像是一种易于量化的工具,可以在诸如慢性阻塞性肺疾病(COPD)等情况下提供肺结构的体内评估。从这些数据中提取的信息已在许多临床,流行病学和基因研究中用于患者的分层和预后,并确定用于临床试验的中间终点。尽管这些努力使我们了解了吸烟者肺部疾病的异质性,但它们尚未转化为COPD的新疗法或患者护理的个性化。造成这种情况的原因有很多,其中包括静态影像无法提供对肺功能和功能障碍的见解,临床CT扫描对肺结构的微观变化的分辨率有限,以及尝试将发现转化为治疗时生物医学界所面临的挑战。可以通过新颖的图像分析技术,新兴的基于CT和MRI的技术,学术界与行业之间的紧密联系以及在生物医学界之间共享数据的更大努力来解决这些局限性。

更新日期:2017-09-28
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