AIMC Topic: Idiopathic Pulmonary Fibrosis

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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.
Retrospective Studies Female Aged Humans Prognosis Idiopathic Pulmonary Fibrosis Radiography, Thoracic Vital Capacity Male Middle Aged Deep Learning
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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.
Middle Aged Vimentin Female Anti-Citrullinated Protein Antibodies Aged Idiopathic Pulmonary Fibrosis Humans Autoantibodies Male Prospective Studies Mutation Registries
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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.
Humans Retrospective Studies Idiopathic Pulmonary Fibrosis Radiomics Lung Diseases, Interstitial Lung Deep Learning
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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...
Algorithms Retrospective Studies Tomography, X-Ray Computed Lung Lung Diseases, Interstitial Deep Learning Idiopathic Pulmonary Fibrosis Humans
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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 Lung Diseases, Interstitial Humans 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...
Observational Studies as Topic Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Case-Control Studies Deep Learning Ultrasonography Idiopathic Interstitial Pneumonias Auscultation Respiratory Sounds Clinical Protocols Humans Artificial Intelligence Adult Pulmonary Disease, Chronic Obstructive Quality of Life Lung
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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).
Fibrosis Carbon Monoxide Vital Capacity Deep Learning Idiopathic Pulmonary Fibrosis Prognosis Retrospective Studies Tomography, X-Ray Computed Aged Male Lung Humans
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Deep-learning algorithm to detect fibrosing interstitial lung disease on chest radiographs.

The European respiratory journal Feb 16, 2023
BACKGROUND: Antifibrotic therapies are available to treat chronic fibrosing interstitial lung diseases (CF-ILDs), including idiopathic pulmonary fibrosis. Early use of these treatments is recommended to slow deterioration of respiratory function and ...
Humans Algorithms Retrospective Studies Fibrosis Deep Learning Lung Diseases, Interstitial Idiopathic Pulmonary Fibrosis
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Multi-scale, domain knowledge-guided attention + random forest: a two-stage deep learning-based multi-scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images.

Medical physics Nov 5, 2022
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive, irreversible, and usually fatal lung disease of unknown reasons, generally affecting the elderly population. Early diagnosis of IPF is crucial for triaging patients' treatment planning...
Lung Diseases, Interstitial Tomography, X-Ray Computed Aged Idiopathic Pulmonary Fibrosis Humans Deep Learning Random Forest Retrospective Studies
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Imaging to Explore the Interface between Pulmonary Structure and Function.

Radiology Oct 25, 2022
Deep Learning Idiopathic Pulmonary Fibrosis Diagnostic Imaging Humans Lung Volume Measurements Lung
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