The place of high-resolution computed tomography imaging in the investigation of interstitial lung disease

被引:17
|
作者
Jeny, Florence [1 ,2 ]
Brillet, Pierre-Yves [2 ,3 ]
Kim, Young-Wouk [3 ]
Freynet, Olivia [2 ]
Nunes, Hilario [1 ,2 ]
Valeyre, Dominique [1 ,2 ]
机构
[1] Univ Paris 13, Sorbonne Paris Cite, EA2363 Hypoxie & Poumon, Bobigny, France
[2] Hop Avicenne, Serv Pneumol, 125 Rue Stalingrad, F-93009 Bobigny, France
[3] Hop Avicenne, Serv Radiol, Bobigny, France
关键词
Automated quantification; high-resolution computed tomography; interstitial lung disease; IDIOPATHIC PULMONARY-FIBROSIS; CHRONIC HYPERSENSITIVITY PNEUMONITIS; THIN-SECTION CT; SCORE PREDICTS SURVIVAL; SYSTEMIC-SCLEROSIS; RHEUMATOID-ARTHRITIS; CHEST RADIOGRAPHY; CLINICAL-PRACTICE; FOLLOW-UP; PATHOLOGICAL CORRELATION;
D O I
10.1080/17476348.2019.1556639
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Introduction: High-resolution computed tomography (HRCT) has revolutionized the diagnosis, prognosis and in some cases the prediction of therapeutic response in interstitial lung disease (ILD). HRCT represents an essential second step to a patient's clinical history, before considering any other investigation, including lung biopsy. Areas covered: This review describes the current place of HRCT in the diagnosis, prognosis and monitoring of ILD. It also lists some perspectives for the near future. Expert commentary: Since the 1980s, HRCT and its interpretation have improved, the diagnosis value of patterns, and the integration of bio-clinical elements to HRCT have been better standardized. The interobserver agreement has been investigated, allowing a better use of some limits in the interpretation of various signs. It not only takes into account one particular predominant sign, but the combination of patterns and the distribution of findings. Thanks to HRCT, the range of diagnoses and their probability are more accurately identified. The contribution of HRCT has been optimized during the multidisciplinary discussion that a difficult diagnosis calls for. HRCT quantification of the extent of diffuse lung disease becomes possible and is linked to prognosis. In the future, artificial intelligence may significantly modify the practice of radiology.
引用
收藏
页码:79 / 94
页数:16
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