Novelties in imaging in pulmonary fibrosis and nodules. A narrative review.
2018
Imaging
Lung
Lung cancer
Pulmonary fibrosis
Radiomics
Update
Journal
Pulmonology
ISSN: 2531-0437
Titre abrégé: Pulmonology
Pays: Spain
ID NLM: 101723786
Informations de publication
Date de publication:
Historique:
received:
23
09
2019
accepted:
25
09
2019
pubmed:
11
11
2019
medline:
12
11
2020
entrez:
11
11
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31706882
pii: S2531-0437(19)30179-5
doi: 10.1016/j.pulmoe.2019.09.009
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
39-44Informations de copyright
Copyright © 2019 Sociedade Portuguesa de Pneumologia. Published by Elsevier España, S.L.U. All rights reserved.