Deep learning in interstitial lung disease-how long until daily practice.
Deep learning in interstitial lung disease-how long until daily practice.
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DOI：
10.1007/s00330-020-06986-4
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发表时间：
2020-11
影响因子：
5.9
通讯作者：
Oancea C
中科院分区：
文献类型：
--
作者：
Trusculescu AA;Manolescu D;Tudorache E;Oancea C
间质性肺疾病是一种涉及间质炎症和纤维化的多种疾病，具有临床、影像学和病理上的重叠特征。这些是肺部疾病发病率和死亡率的重要原因。本文综述了以深度学习方法为中心的计算机辅助诊断系统，以提高间质性肺疾病的诊断。我们强调了挑战和重要日常实践的实施，特别是在特发性肺纤维化（IPF）的早期诊断中。开发一种卷积神经网络（CNN），它可以部署在任何计算机站上，并且可以被非学术中心访问，这是下一个需要跨越的前沿。在未来，IPF的早期诊断应该是可能的。CNN不仅可以节省人力资源，还可以减少这种致命疾病的所有社会和医疗方面的成本。•深度学习算法用于不同间质性肺疾病的模式识别。•高分辨率计算机断层扫描在所有间质性肺疾病的诊断和治疗中发挥核心作用，尤其是纤维化肺疾病。•开发一种可在任何计算机站上部署并可在非学术中心使用的可访问算法是特发性肺纤维化早期诊断的下一个前沿。本文的在线版本（10.1007/s00330-020-06986-4）包含补充资料，仅供授权用户使用。
Interstitial lung diseases are a diverse group of disorders that involve inflammation and fibrosis of interstitium, with clinical, radiological, and pathological overlapping features. These are an important cause of morbidity and mortality among lung diseases. This review describes computer-aided diagnosis systems centered on deep learning approaches that improve the diagnostic of interstitial lung diseases. We highlighted the challenges and the implementation of important daily practice, especially in the early diagnosis of idiopathic pulmonary fibrosis (IPF). Developing a convolutional neuronal network (CNN) that could be deployed on any computer station and be accessible to non-academic centers is the next frontier that needs to be crossed. In the future, early diagnosis of IPF should be possible. CNN might not only spare the human resources but also will reduce the costs spent on all the social and healthcare aspects of this deadly disease. Key Points • Deep learning algorithms are used in pattern recognition of different interstitial lung diseases. • High-resolution computed tomography plays a central role in the diagnosis and in the management of all interstitial lung diseases, especially fibrotic lung disease. • Developing an accessible algorithm that could be deployed on any computer station and be used in non-academic centers is the next frontier in the early diagnosis of idiopathic pulmonary fibrosis. The online version of this article (10.1007/s00330-020-06986-4) contains supplementary material, which is available to authorized users.
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