AIMC Topic: Lung Diseases, Interstitial

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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 Idiopathic Pulmonary Fibrosis Fibrosis Lung Diseases, Interstitial Retrospective Studies Deep Learning
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Assessment of idiopathic inflammatory myopathy using a deep learning method for muscle T2 mapping segmentation.

European radiology Nov 18, 2022
OBJECTIVE: To investigate the utility of an automatic deep learning (DL) method for segmentation of T2 maps in patients with idiopathic inflammatory myopathy (IIM) against healthy controls, and also the association of quantitative T2 values in patien...
Animals Muscle, Skeletal Deep Learning Inflammation Myositis Lung Diseases, Interstitial
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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 Idiopathic Pulmonary Fibrosis Humans Random Forest Retrospective Studies Aged Tomography, X-Ray Computed Deep Learning
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Interstitial lung disease detection using template matching combined sparse coding and blended multi class support vector machine.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Aug 17, 2022
Interstitial lung disease (ILD), representing a collection of disorders, is considered to be the deadliest one, which increases the mortality rate of humans. In this paper, an automated scheme for detection and classification of ILD patterns is prese...
Humans Algorithms Support Vector Machine Lung Diseases, Interstitial Tomography, X-Ray Computed Lung
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Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease.

European radiology Jun 24, 2022
OBJECTIVES: To investigate whether deep learning reconstruction (DLR) could keep image quality and reduce radiation dose in interstitial lung disease (ILD) patients compared with HRCT reconstructed with hybrid iterative reconstruction (hybrid-IR).
Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Lung Diseases, Interstitial Humans Algorithms Tomography, X-Ray Computed Deep Learning Prospective Studies
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Predicting Usual Interstitial Pneumonia Histopathology From Chest CT Imaging With Deep Learning.

Chest Apr 8, 2022
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive, often fatal form of interstitial lung disease (ILD) characterized by the absence of a known cause and usual interstitial pneumonitis (UIP) pattern on chest CT imaging and/or histopatho...
Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial Lung Deep Learning Female Reproducibility of Results Male Middle Aged Aged Humans Retrospective Studies Tomography, X-Ray Computed
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MIXTURE of human expertise and deep learning-developing an explainable model for predicting pathological diagnosis and survival in patients with interstitial lung disease.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Feb 23, 2022
Interstitial pneumonia is a heterogeneous disease with a progressive course and poor prognosis, at times even worse than those in the main cancer types. Histopathological examination is crucial for its diagnosis and estimation of prognosis. However, ...
Humans Reproducibility of Results Deep Learning Artificial Intelligence Idiopathic Pulmonary Fibrosis Lung Diseases, Interstitial
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Two-Stage Hybrid Approach of Deep Learning Networks for Interstitial Lung Disease Classification.

BioMed research international Feb 1, 2022
High-resolution computed tomography (HRCT) images in interstitial lung disease (ILD) screening can help improve healthcare quality. However, most of the earlier ILD classification work involves time-consuming manual identification of the region of in...
Deep Learning Humans Lung Diseases, Interstitial Tomography, X-Ray Computed
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Prediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease.

Respiratory research Jan 7, 2022
BACKGROUND: The exact risk assessment is crucial for the management of connective tissue disease-associated interstitial lung disease (CTD-ILD) patients. In the present study, we develop a nomogram to predict 3‑ and 5-year mortality by using machine ...
Connective Tissue Diseases Time Factors Follow-Up Studies Lung Diseases, Interstitial Humans Risk Assessment Machine Learning China Survival Rate Retrospective Studies Female Male Risk Factors Middle Aged
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The Normal Lung Index From Quantitative Computed Tomography for the Evaluation of Obstructive and Restrictive Lung Disease.

Journal of thoracic imaging Dec 16, 2021
PURPOSE: Our objective was to evaluate whether the normal lung index (NLI) from quantitative computed tomography (QCT) analysis can be used to predict mortality as well as pulmonary function tests (PFTs) in patients with chronic obstructive pulmonary...
Lung Tomography, X-Ray Computed Humans Pulmonary Emphysema Pulmonary Disease, Chronic Obstructive Lung Diseases, Interstitial Retrospective Studies
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