Radiomics in lung diseases imaging: state-of-the-art for clinicians

AN Frix, F Cousin, T Refaee, F Bottari… - Journal of Personalized …, 2021 - mdpi.com
Artificial intelligence (AI) has increasingly been serving the field of radiology over the last 50
years. As modern medicine is evolving towards precision medicine, offering personalized …

Deep radiomics-based survival prediction in patients with chronic obstructive pulmonary disease

J Yun, YH Cho, SM Lee, J Hwang, JS Lee, YM Oh… - Scientific reports, 2021 - nature.com
Heterogeneous clinical manifestations and progression of chronic obstructive pulmonary
disease (COPD) affect patient health risk assessment, stratification, and management …

Lung radiomics features selection for COPD stage classification based on auto-metric graph neural network

Y Yang, S Wang, N Zeng, W Duan, Z Chen, Y Liu, W Li… - Diagnostics, 2022 - mdpi.com
Chronic obstructive pulmonary disease (COPD) is a preventable, treatable, progressive
chronic disease characterized by persistent airflow limitation. Patients with COPD deserve …

CT whole lung radiomic nomogram: a potential biomarker for lung function evaluation and identification of COPD

TH Zhou, XX Zhou, J Ni, YQ Ma, FY Xu, B Fan… - Military Medical …, 2024 - Springer
Background Computed tomography (CT) plays a great role in characterizing and quantifying
changes in lung structure and function of chronic obstructive pulmonary disease (COPD) …

[HTML][HTML] The utility of quantitative computed tomography in cohort studies of chronic obstructive pulmonary disease: a narrative review

Q Dai, X Zhu, J Zhang, Z Dong, E Pompeo… - Journal of Thoracic …, 2023 - ncbi.nlm.nih.gov
The utility of quantitative computed tomography in cohort studies of chronic obstructive
pulmonary disease: a narrative review - PMC Back to Top Skip to main content NIH NLM Logo …

COPD Risk Factor Profiles in General Population and Referred Patients: Potential Etiotypes

JH Lee, S Kim, YJ Kim, SW Lee, JS Lee… - International Journal of …, 2023 - Taylor & Francis
Purpose To identify the risk factors for chronic obstructive pulmonary disease (COPD) in
view of potential etiotypes in a general population and referred COPD patients. Patients and …

COPD stage detection: leveraging the auto-metric graph neural network with inspiratory and expiratory chest CT images

X Deng, W Li, Y Yang, S Wang, N Zeng, J Xu… - Medical & Biological …, 2024 - Springer
Chronic obstructive pulmonary disease (COPD) is a common lung disease that can lead to
restricted airflow and respiratory problems, causing a significant health, economic, and …

Study on Predicting Clinical Stage of Patients with Bronchial Asthma Based on CT Radiomics

X Chen, X Wang, S Huang, W Luo, Z Luo… - Journal of Asthma and …, 2024 - Taylor & Francis
Objective To explore the value of a new model based on CT radiomics in predicting the
staging of patients with bronchial asthma (BA). Methods Patients with BA from 2018 to 2021 …

A novel computed tomography radiomic nomogram for early evaluation of small airway dysfunction development

S Cui, Z Shu, Y Ma, Y Lin, H Wang, H Cao, J Liu… - Frontiers in …, 2022 - frontiersin.org
The common respiratory abnormality, small airway dysfunction (fSAD), is easily neglected.
Its prognostic factors, prevalence, and risk factors are unclear. This study aimed to explore …

Development and validation of a CT-based radiomics model for differentiating pneumonia-like primary pulmonary lymphoma from infectious pneumonia: A multicenter …

X Yu, B Kang, P Nie, Y Deng, Z Liu, N Mao… - Chinese Medical …, 2023 - mednexus.org
Background: Pneumonia-like primary pulmonary lymphoma (PPL) was commonly
misdiagnosed as infectious pneumonia, leading to delayed treatment. The purpose of this …