Chirurgisches Klinikum München Süd, Am Isarkanal 30, 81379 München, Germany.
Chirurgisches Klinikum München Süd, Am Isarkanal 30, 81379 München, Germany.
Pulmonology. 2020 Jan-Feb;26(1):39-44. doi: 10.1016/j.pulmoe.2019.09.009. Epub 2019 Nov 7.
In recent months two major fields of interest in pulmonary imaging have stood out: pulmonary fibrosis and pulmonary nodules. New guidelines have been released to define pulmonary fibrosis and subsequent studies have proved the value of these changes. In addition, new recommendations for classification of pulmonary nodules have been released. Radiological images are of major interest for automated and standardized analysis and so in both cases software tools using artificial intelligence were developed for visualization and quantification of the disease. These tools have been validated by human readers and demonstrated their capabilities. This review summarizes the new recommendations for classification of pulmonary fibrosis and nodules and reviews the capabilities of radiomics within these two entities.
近几个月来,肺部影像学的两个主要研究领域备受关注:肺纤维化和肺结节。新的指南已经发布,用以定义肺纤维化,随后的研究也证实了这些变化的价值。此外,还发布了肺结节分类的新建议。放射影像学对于自动化和标准化分析非常重要,因此在这两种情况下,都开发了使用人工智能的软件工具,用于疾病的可视化和量化。这些工具已经过人工读者验证,并展示了它们的能力。本综述总结了肺纤维化和结节分类的新建议,并回顾了这两个实体中放射组学的能力。