AIMC Topic: Idiopathic Pulmonary Fibrosis

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Computed tomography machine learning classifier correlates with mortality in interstitial lung disease.

Respiratory investigation May 20, 2024
BACKGROUND: A machine learning classifier system, Fibresolve, was designed and validated as an adjunct to non-invasive diagnosis in idiopathic pulmonary fibrosis (IPF). The system uses a deep learning algorithm to analyze chest computed tomography (C...
Tomography, X-Ray Computed Female Aged Humans Machine Learning Idiopathic Pulmonary Fibrosis Predictive Value of Tests Lung Diseases, Interstitial Male Middle Aged Follow-Up Studies
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Novel 3D-based deep learning for classification of acute exacerbation of idiopathic pulmonary fibrosis using high-resolution CT.

BMJ open respiratory research Mar 9, 2024
PURPOSE: Acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF) is the primary cause of death in patients with IPF, characterised by diffuse, bilateral ground-glass opacification on high-resolution CT (HRCT). This study proposes a three-dimensi...
Idiopathic Interstitial Pneumonias Humans Deep Learning Tomography, X-Ray Computed ROC Curve Idiopathic Pulmonary Fibrosis
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A three-gene random forest model for diagnosing idiopathic pulmonary fibrosis based on circadian rhythm-related genes in lung tissue.

Expert review of respiratory medicine Jan 31, 2024
BACKGROUND: The disorder of circadian rhythm could be a key factor mediating fibrotic lung disease Therefore, our study aims to determine the diagnostic value of circadian rhythm-related genes (CRRGs) in IPF.
Collagen Type VII Idiopathic Pulmonary Fibrosis Humans Random Forest Lung Circadian Rhythm
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Deep learning-based prognostication in idiopathic pulmonary fibrosis using chest radiographs.

European radiology Dec 19, 2023
OBJECTIVES: To develop and validate a deep learning-based prognostic model in patients with idiopathic pulmonary fibrosis (IPF) using chest radiographs.
Prognosis Retrospective Studies Female Humans Vital Capacity Deep Learning Aged Idiopathic Pulmonary Fibrosis Male Radiography, Thoracic Middle Aged
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Anti-mutated citrullinated vimentin antibodies are increased in IPF patients.

Respiratory medicine and research Dec 14, 2023
INTRO: An increased prevalence of serum anti-MCV antibody is observed in the serum of patients with idiopathic pulmonary fibrosis (IPF) but the clinical relevance of these antibodies is unknown.
Autoantibodies Mutation Registries Middle Aged Anti-Citrullinated Protein Antibodies Idiopathic Pulmonary Fibrosis Vimentin Humans Female Prospective Studies Aged Male
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A Deep Learning-Based Radiomic Classifier for Usual Interstitial Pneumonia.

Chest Oct 14, 2023
BACKGROUND: Because chest CT scan has largely supplanted surgical lung biopsy for diagnosing most cases of interstitial lung disease (ILD), tools to standardize CT scan interpretation are urgently needed.
Retrospective Studies Radiomics Lung Deep Learning Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Humans
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Development and validation of a CT-based deep learning algorithm to augment non-invasive diagnosis of idiopathic pulmonary fibrosis.

Respiratory medicine Oct 13, 2023
RATIONALE: Non-invasive diagnosis of idiopathic pulmonary fibrosis (IPF) involves identification of usual interstitial pneumonia (UIP) pattern by computed tomography (CT) and exclusion of other known etiologies of interstitial lung disease (ILD). How...
Tomography, X-Ray Computed Lung Deep Learning Humans Algorithms Retrospective Studies Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial
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The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease.

PloS one Sep 27, 2023
To evaluate the effect of the deep learning model reconstruction (DLM) method in terms of image quality and diagnostic agreement in low-dose computed tomography (LDCT) for interstitial lung disease (ILD), 193 patients who underwent LDCT for suspected...
Tomography, X-Ray Computed Deep Learning Idiopathic Pulmonary Fibrosis Humans Lung Diseases, Interstitial Retrospective Studies
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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.

BMC pulmonary medicine Jun 2, 2023
BACKGROUND: Interstitial 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 prognos...
Clinical Protocols Idiopathic Interstitial Pneumonias Lung Diseases, Interstitial Auscultation Respiratory Sounds Lung Case-Control Studies Deep Learning Ultrasonography Observational Studies as Topic Idiopathic Pulmonary Fibrosis Humans Adult Pulmonary Disease, Chronic Obstructive Artificial Intelligence Quality of Life
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Prognostic value of deep learning-based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis.

European radiology Mar 16, 2023
OBJECTIVE: To investigate the prognostic value of deep learning (DL)-driven CT fibrosis quantification in idiopathic pulmonary fibrosis (IPF).
Male Lung Deep Learning Idiopathic Pulmonary Fibrosis Fibrosis Carbon Monoxide Retrospective Studies Tomography, X-Ray Computed Aged Humans Prognosis Vital Capacity
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