AIMC Topic: Idiopathic Pulmonary Fibrosis
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Deep learning for classifying fibrotic lung disease on high-resolution computed tomography: a case-cohort study.
The Lancet. Respiratory medicine
Sep 16, 2018
BACKGROUND: Based on international diagnostic guidelines, high-resolution CT plays a central part in the diagnosis of fibrotic lung disease. In the correct clinical context, when high-resolution CT appearances are those of usual interstitial pneumoni...
Serum Levels of Visfatin, Omentin and Irisin in Patients with End-Stage Lung Disease Before and After Lung Transplantation.
Annals of transplantation
Dec 26, 2017
BACKGROUND The aim of this study was to investigate serum concentrations of visfatin, irisin, and omentin in patients with end-stage lung diseases (ESLD) before and after lung transplantation (LTx) and to find relationship between adipokines levels a...
Postoperative Period
Lectins
GPI-Linked Proteins
Lung Transplantation
Cystic Fibrosis
Middle Aged
Young Adult
Adolescent
Adult
Treatment Outcome
Pulmonary Disease, Chronic Obstructive
Body Mass Index
Male
Idiopathic Pulmonary Fibrosis
Humans
Nicotinamide Phosphoribosyltransferase
Cytokines
Fibronectins
Female
MetaKTSP: a meta-analytic top scoring pair method for robust cross-study validation of omics prediction analysis.
Bioinformatics (Oxford, England)
Mar 2, 2016
MOTIVATION: Supervised machine learning is widely applied to transcriptomic data to predict disease diagnosis, prognosis or survival. Robust and interpretable classifiers with high accuracy are usually favored for their clinical and translational pot...
Efficacy and safety of inhaled N-acetylcysteine in idiopathic pulmonary fibrosis: A prospective, single-arm study.
Respiratory investigation
Dec 15, 2015
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease with few treatment options. The efficacy of N-acetylcysteine in patients with IPF remains controversial. The aim of this research was to investigate the efficacy of inhaled...
Current State of Fibrotic Interstitial Lung Disease Imaging.
Radiology
Jul 1, 2025
Interstitial lung disease (ILD) diagnosis is complex, continuously evolving, and increasingly reliant on thin-section chest CT. Multidisciplinary discussion aided by a thorough radiologic review can achieve a high-confidence diagnosis of ILD in the m...
Identification of genetic indicators linked to immunological infiltration in idiopathic pulmonary fibrosis.
Medicine
May 9, 2025
This study employed bioinformatics to investigate potential molecular markers associated with idiopathic pulmonary fibrosis (IPF) and examined their correlation with immune-infiltrating cells. Microarray data for IPF were retrieved from the Gene Expr...
From pixels to prognosis: unlocking the potential of deep learning in fibrotic lung disease imaging analysis.
The British journal of radiology
Sep 1, 2024
The licensing of antifibrotic therapy for fibrotic lung diseases, including idiopathic pulmonary fibrosis (IPF), has created an urgent need for reliable biomarkers to predict disease progression and treatment response. Some patients experience stable...
The Analysis of Proteomics by Machine Learning in Separating Idiopathic Pulmonary Fibrosis from Connective Tissue Disease-Interstitial Lung Disease.
American journal of respiratory and critical care medicine
Aug 15, 2024
Deep Learning-based Segmentation of Computed Tomography Scans Predicts Disease Progression and Mortality in Idiopathic Pulmonary Fibrosis.
American journal of respiratory and critical care medicine
Aug 15, 2024
Despite evidence demonstrating a prognostic role for computed tomography (CT) scans in idiopathic pulmonary fibrosis (IPF), image-based biomarkers are not routinely used in clinical practice or trials. To develop automated imaging biomarkers using ...
Machine Learning of Plasma Proteomics Classifies Diagnosis of Interstitial Lung Disease.
American journal of respiratory and critical care medicine
Aug 15, 2024
Distinguishing connective tissue disease-associated interstitial lung disease (CTD-ILD) from idiopathic pulmonary fibrosis (IPF) can be clinically challenging. To identify proteins that separate and classify patients with CTD-ILD and those with IPF...
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