AIMC Topic: 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...
Humans Lung Deep Learning Pulmonary Fibrosis Lung Diseases, Interstitial Pulmonary Emphysema Emphysema
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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...
Humans Algorithms Retrospective Studies Tomography, X-Ray Computed Female Reproducibility of Results Aged Aged, 80 and over Sensitivity and Specificity Male Middle Aged Lung Diagnosis, Computer-Assisted Deep Learning Biopsy Pulmonary Fibrosis Image Interpretation, Computer-Assisted
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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...
Humans Risk Factors Biomarkers, Tumor Time Factors Lung Neoplasms Enzyme-Linked Immunosorbent Assay Treatment Outcome Carcinoma, Non-Small-Cell Lung Predictive Value of Tests Pulmonary Fibrosis Proportional Hazards Models Multivariate Analysis Kaplan-Meier Estimate Radiation Pneumonitis Serum Amyloid P-Component
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