Publications associées à Fibrose pulmonaire idiopathique

Deep learning diagnostic and severity-stratification for interstitial lung diseases and chronic obstructive pulmonary disease in digital lung auscultations and ultrasonography: clinical protocol for an observational case-control study

BackgroundInterstitial lung diseases (ILD), such as idiopathic pulmonary fibrosis (IPF) and non-specific interstitial pneumonia (NSIP), and chronic obstructive pulmonary disease (COPD) are severe, progressive pulmonary disorders with a poor prognosis. Prom ...

BMC2023

Deep learning parametric response mapping from inspiratory chest CT scans: a new approach for small airway disease screening

Jiancheng Yang, Zhiye Wang, Jun Lu, Zhigang Li, Lin Qi, Ming Li, Bo Du, Yuxuan Sun, Ziyi Liu

Objectives Parametric response mapping (PRM) enables the evaluation of small airway disease (SAD) at the voxel level, but requires both inspiratory and expiratory chest CT scans. We hypothesize that deep learning PRM from inspiratory chest CT scans can eff ...

BMC2023

Impact of COVID-19 on long-term lung function in lung transplant recipients: A single-center retrospective cohort study

Nahal Mansouri

Available data are limited concerning long-term lung function (LF) evolution after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in lung transplant (LT) recipients. The aim of this study is to determine the effect of first SARS-CoV ...

WILEY2023

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

David Atienza Alonso, Tomas Teijeiro Campo, Lara Orlandic

Background and Objective: Cough audio signal classification is a potentially useful tool in screening for respiratory disorders, such as COVID-19. Since it is dangerous to collect data from patients with contagious diseases, many research teams have turned ...

2023

Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation

Tobias Kober, Qian Wang, Tom Hilbert, Yao Zhang, Yubo Zhao

Objective To investigate the utility of an automatic deep learning (DL) method for segmentation of T2 maps in patients with idiopathic inflammatory myopathy (IIM) against healthy controls, and also the association of quantitative T2 values in patients with ...

SPRINGER2022

Prognostic Implications of the Novel Pulmonary Hypertension Definition in Patients with Aortic Stenosis after Transcatheter Valve Replacement

Nikolaos Stergiopoulos, Georgios Rovas, Vasiliki Bikia, Stamatia Zoi Pagoulatou

Introduction: Pulmonary hypertension (PH), traditionally defined as a mean pulmonary artery pressure (PAP) >= 25 mmHg, is associated with poor outcomes in patients undergoing a transcatheter aortic valve replacement (TAVR) for severe aortic stenosis (AS). ...

MDPI2022

Apelin-13 Protects Corpus Cavernosum Against Fibrosis Induced by High-Fat Diet in an MMP-Dependent Mechanism

Nikolaos Stergiopoulos, Mikaël Nils Sturny, Rafaela Fernandes Da Silva, Augusto Martins Lima, Fabiana Pereira Da Costa Fraga, Maiia Bragina, Léa Liliane Colette Anguenot

Background: An increased fibrosis of the corpora cavernosa is a prevalent process that underlies most cases of erectile dysfunction. Apelin, an endogenous circulating peptide, has been documented as an important effector on cardiovascular homeostasis, cont ...

ELSEVIER SCI LTD2021

Neonatal Manifestations of Chronic Granulomatous Disease: MAS/HLH and Necrotizing Pneumonia as Unusual Phenotypes and Review of the Literature

Alessandro Borghesi

Chronic granulomatous disease (CGD) is a rare inborn error of immunity (IEI), characterized by a deficient phagocyte killing due to the inability of NADPH oxidase to produce reactive oxygen species in the phagosome. Patients with CGD suffer from severe and ...

SPRINGER/PLENUM PUBLISHERS2022

A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19

Henry Markram, Emmanuelle Logette, Samuel Claude Kerrien, Enrico Scantamburlo, Daniel Keller, Jay Coggan, Cyrille Pierre Henri Favreau, Francesco Casalegno, Mohameth François Sy, Anna-Kristin Kaufmann

SARS-CoV-2 started spreading toward the end of 2019 causing COVID-19, a disease that reached pandemic proportions among the human population within months. The reasons for the spectrum of differences in the severity of the disease across the population, an ...

FRONTIERS MEDIA SA2021

A Telemonitoring and Hybrid Virtual Coaching Solution "CAir" for Patients with Chronic Obstructive Pulmonary Disease: Protocol for a Randomized Controlled Trial

Ádám Dániel Ivánkay

Background: Chronic obstructive pulmonary disease (COPD) is one of the most common disorders in the world. COPD is characterized by airflow obstruction, which is not fully reversible. Patients usually experience breathing-related symptoms with periods of a ...

2020