AIMC Topic: Lung Diseases, Interstitial

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Impact of Photon-counting Detector Computed Tomography on a Quantitative Interstitial Lung Disease Machine Learning Model.

Journal of thoracic imaging May 1, 2025
PURPOSE: Compare the impact of photon-counting detector computed tomography (PCD-CT) to conventional CT on an interstitial lung disease (ILD) quantitative machine learning (QML) model.
Humans Machine Learning Retrospective Studies Tomography, X-Ray Computed Middle Aged Lung Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Photons Female Aged Adult Male
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Automated AI-based image analysis for quantification and prediction of interstitial lung disease in systemic sclerosis patients.

Respiratory research Jan 24, 2025
BACKGROUND: Systemic sclerosis (SSc) is a rare connective tissue disease associated with rapidly evolving interstitial lung disease (ILD), driving its mortality. Specific imaging-based biomarkers associated with the evolution of lung disease are need...
Tomography, X-Ray Computed Female Aged Predictive Value of Tests Adult Lung Diseases, Interstitial Humans Male Respiratory Function Tests Artificial Intelligence Middle Aged Scleroderma, Systemic Retrospective Studies Lung Cohort Studies
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Prognostic value of a composite physiologic index developed by adding bronchial and hyperlucent volumes quantified via artificial intelligence technology.

Respiratory research Dec 24, 2024
BACKGROUND: The composite physiologic index (CPI) was developed to estimate the extent of interstitial lung disease (ILD) in idiopathic pulmonary fibrosis (IPF) patients based on pulmonary function tests (PFTs). The CALIPER-revised version of the CPI...
Cohort Studies Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Respiratory Function Tests Female Aged Male Middle Aged Bronchi Humans Artificial Intelligence Prognosis Retrospective Studies Tomography, X-Ray Computed
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Improving functional correlation of quantification of interstitial lung disease by reducing the vendor difference of CT using generative adversarial network (GAN) style conversion.

European journal of radiology Dec 22, 2024
OBJECTIVE: To assess whether CT style conversion between different CT vendors using a routable generative adversarial network (RouteGAN) could minimize variation in ILD quantification, resulting in improved functional correlation of quantitative CT (...
Lung Diseases, Interstitial Respiratory Function Tests Generative Adversarial Networks Lung Deep Learning Idiopathic Pulmonary Fibrosis Reproducibility of Results Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Aged Female Male Middle Aged Humans
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Diagnosis of Fibrotic Interstitial Lung Diseases Based on the Combination of Label-Free Quantitative Multiphoton Fiber Histology and Machine Learning.

Laboratory investigation; a journal of technical methods and pathology Dec 13, 2024
Interstitial lung disease (ILD), characterized by inflammation and fibrosis, often suffers from low diagnostic accuracy and consistency. Traditional hematoxylin and eosin (H&E) staining primarily reveals cellular inflammation with limited detail on f...
Female Aged Adult Male Middle Aged Humans Machine Learning Algorithms Elastin Lung Lung Diseases, Interstitial Collagen Microscopy, Fluorescence, Multiphoton
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Explainable fully automated CT scoring of interstitial lung disease for patients suspected of systemic sclerosis by cascaded regression neural networks and its comparison with experts.

Scientific reports Nov 4, 2024
Visual scoring of interstitial lung disease in systemic sclerosis (SSc-ILD) from CT scans is laborious, subjective and time-consuming. This study aims to develop a deep learning framework to automate SSc-ILD scoring. The automated framework is a casc...
Male Middle Aged Deep Learning Lung Diseases, Interstitial Scleroderma, Systemic Humans Neural Networks, Computer Tomography, X-Ray Computed Female
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Artificial intelligence-based quantification of pulmonary HRCT (AIqpHRCT) for the evaluation of interstitial lung disease in patients with inflammatory rheumatic diseases.

Rheumatology international Sep 9, 2024
High-resolution computed tomography (HRCT) is important for diagnosing interstitial lung disease (ILD) in inflammatory rheumatic disease (IRD) patients. However, visual ILD assessment via HRCT often has high inter-reader variability. Artificial intel...
Humans Artificial Intelligence Tomography, X-Ray Computed Female Reproducibility of Results Aged Adult Male Middle Aged Lung Lung Diseases, Interstitial Rheumatic Diseases
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Use of artificial intelligence algorithms to analyse systemic sclerosis-interstitial lung disease imaging features.

Rheumatology international Aug 29, 2024
The use of artificial intelligence (AI) in high-resolution computed tomography (HRCT) for diagnosing systemic sclerosis-associated interstitial lung disease (SSc-ILD) is relatively limited. This study aimed to analyse lung HRCT images of patients wit...
Middle Aged Lung Lung Diseases, Interstitial Scleroderma, Systemic Female Aged Adult Male Algorithms Humans Prognosis Artificial Intelligence Retrospective Studies Tomography, X-Ray Computed
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Machine learning classifier is associated with mortality in interstitial lung disease: a retrospective validation study leveraging registry data.

BMC pulmonary medicine May 23, 2024
BACKGROUND: Mortality prediction in interstitial lung disease (ILD) poses a significant challenge to clinicians due to heterogeneity across disease subtypes. Currently, forced vital capacity (FVC) and Gender, Age, and Physiology (GAP) score are the t...
Middle Aged Lung Diseases, Interstitial Humans Follow-Up Studies Tomography, X-Ray Computed Machine Learning Idiopathic Pulmonary Fibrosis Female Prognosis Proportional Hazards Models Registries Aged Vital Capacity Retrospective Studies Male
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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...
Male Middle Aged Humans Follow-Up Studies Predictive Value of Tests Machine Learning Idiopathic Pulmonary Fibrosis Tomography, X-Ray Computed Lung Diseases, Interstitial Female Aged
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