AIMC Topic: Pulmonary Fibrosis

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Deep learning and the evaluation of pulmonary fibrosis.

The Lancet. Respiratory medicine Sep 16, 2018
Humans Tomography, X-Ray Computed Deep Learning Cohort Studies Pulmonary Fibrosis
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Biomarkers for Pulmonary Inflammation and Fibrosis and Lung Ventilation Function in Chinese Occupational Refractory Ceramic Fibers-Exposed Workers.

International journal of environmental research and public health Dec 27, 2017
Refractory ceramic fibers (RCFs) can cause adverse health effects on workers' respiratory system, yet no proper biomarkers have been used to detect early pulmonary injury of RCFs-exposed workers. This study assessed the levels of two biomarkers that ...
Ceramics Forced Expiratory Volume Adult Vital Capacity China Pulmonary Fibrosis Humans Occupational Exposure Biomarkers Pulmonary Ventilation Dust Male Lung
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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...
Humans Idiopathic Pulmonary Fibrosis Pulmonary Fibrosis Lung Diseases, Interstitial Prognosis Tomography, X-Ray Computed Lung
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Machine learning-driven imaging data for early prediction of lung toxicity in breast cancer radiotherapy.

Scientific reports May 27, 2025
One possible adverse effect of breast irradiation is the development of pulmonary fibrosis. The aim of this study was to determine whether planning CT scans can predict which patients are more likely to develop lung lesions after treatment. A retrosp...
Pulmonary Fibrosis Radiation Injuries Breast Neoplasms Middle Aged Lung Machine Learning Female Humans Retrospective Studies Aged Tomography, X-Ray Computed Adult
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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...
Tomography, X-Ray Computed Reproducibility of Results Lung Humans Prognosis Radiographic Image Interpretation, Computer-Assisted Deep Learning Pulmonary Fibrosis Idiopathic Pulmonary Fibrosis
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AI serves up target and inhibitor for lung fibrosis.

Nature reviews. Drug discovery May 1, 2024
Humans Artificial Intelligence Animals Pulmonary Fibrosis
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Deep Learning Assessment of Progression of Emphysema and Fibrotic Interstitial Lung Abnormality.

American journal of respiratory and critical care medicine Sep 15, 2023
Although studies have evaluated emphysema and fibrotic interstitial lung abnormality individually, less is known about their combined progression. To define clinically meaningful progression of fibrotic interstitial lung abnormality in smokers with...
Pulmonary Emphysema Emphysema Humans Lung Deep Learning Pulmonary Fibrosis Lung Diseases, Interstitial
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Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images.

Investigative radiology Oct 1, 2019
OBJECTIVES: The objective of this study is to assess the performance of a computer-aided diagnosis (CAD) system (INTACT system) for the automatic classification of high-resolution computed tomography images into 4 radiological diagnostic categories a...
Image Interpretation, Computer-Assisted Deep Learning Biopsy Pulmonary Fibrosis Lung Diagnosis, Computer-Assisted Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Retrospective Studies Humans Tomography, X-Ray Computed Algorithms Female
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Serum Amyloid P-component Level May be a Biomarker for Lung Toxicities and Overall Survival after Thoracic Radiotherapy for Non-small Cell Lung Cancer.

Clinical laboratory Nov 1, 2016
BACKGROUND: Serum amyloid P-component (SAP) contributes to the clearance of apoptotic cells. As one of the main acute-phase reactants, SAP regulates key aspects of inflammation and sets a threshold for immune cell activation. This study aimed to inve...
Serum Amyloid P-Component Multivariate Analysis Kaplan-Meier Estimate Humans Radiation Pneumonitis Risk Factors Pulmonary Fibrosis Treatment Outcome Biomarkers, Tumor Proportional Hazards Models Carcinoma, Non-Small-Cell Lung Time Factors Predictive Value of Tests Lung Neoplasms Enzyme-Linked Immunosorbent Assay
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