Novel diagnostic techniques in interstitial lung disease

被引:8
作者
Glenn, Laura M. [1 ,2 ,3 ]
Troy, Lauren K. [1 ,2 ,3 ]
Corte, Tamera J. [1 ,2 ,3 ]
机构
[1] Royal Prince Alfred Hosp, Dept Resp & Sleep Med, Camperdown, NSW, Australia
[2] Univ Sydney, Cent Clin Sch, Sch Med, Sydney, NSW, Australia
[3] NHMRC Ctr Res Excellence Pulm Fibrosis, Camperdown, NSW, Australia
关键词
interstitial lung disease; diagnostic techniques; biomarker; genomics; machine learning; optical coherence tomography; electronic nose; IDIOPATHIC PULMONARY-FIBROSIS; OPTICAL COHERENCE TOMOGRAPHY; ARTIFICIAL-INTELLIGENCE; NOMENCLATURE COMMITTEE; FLEISCHNER-SOCIETY; EXHALED BREATH; MULTIDISCIPLINARY; RECOMMENDATIONS; PNEUMONIA; GLOSSARY;
D O I
10.3389/fmed.2023.1174443
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Research into novel diagnostic techniques and targeted therapeutics in interstitial lung disease (ILD) is moving the field toward increased precision and improved patient outcomes. An array of molecular techniques, machine learning approaches and other innovative methods including electronic nose technology and endobronchial optical coherence tomography are promising tools with potential to increase diagnostic accuracy. This review provides a comprehensive overview of the current evidence regarding evolving diagnostic methods in ILD and to consider their future role in routine clinical care.
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页数:12
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