Literature DB >> 31706882

Novelties in imaging in pulmonary fibrosis and nodules. A narrative review.

S Ley1, J Ley-Zaporozhan2.   

Abstract

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.
Copyright © 2019 Sociedade Portuguesa de Pneumologia. Published by Elsevier España, S.L.U. All rights reserved.

Entities:  

Keywords:  2018; Imaging; Lung; Lung cancer; Pulmonary fibrosis; Radiomics; Update

Year:  2019        PMID: 31706882     DOI: 10.1016/j.pulmoe.2019.09.009

Source DB:  PubMed          Journal:  Pulmonology        ISSN: 2531-0429


  3 in total

1.  Development of a diagnostic model for malignant solitary pulmonary nodules based on radiomics features.

Authors:  Wei Zhao; Chenxi Zou; Chunsun Li; Jie Li; Zirui Wang; Liang'an Chen
Journal:  Ann Transl Med       Date:  2022-02

Review 2.  Molecular Mechanisms and Cellular Contribution from Lung Fibrosis to Lung Cancer Development.

Authors:  Anna Valeria Samarelli; Valentina Masciale; Beatrice Aramini; Georgina Pamela Coló; Roberto Tonelli; Alessandro Marchioni; Giulia Bruzzi; Filippo Gozzi; Dario Andrisani; Ivana Castaniere; Linda Manicardi; Antonio Moretti; Luca Tabbì; Giorgia Guaitoli; Stefania Cerri; Massimo Dominici; Enrico Clini
Journal:  Int J Mol Sci       Date:  2021-11-10       Impact factor: 5.923

3.  Artificial Intelligence Algorithm-Based Feature Extraction of Computed Tomography Images and Analysis of Benign and Malignant Pulmonary Nodules.

Authors:  Yuantong Gao; Yuyang Chen; Yuegui Jiang; Yongchou Li; Xia Zhang; Min Luo; Xiaoyang Wang; Yang Li
Journal:  Comput Intell Neurosci       Date:  2022-09-14
  3 in total

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