Radiomics for improved detection of chronic obstructive pulmonary disease in low-dose and standard-dose chest CT scans

PR Amudala Puchakayala, VL Sthanam, A Nakhmani… - Radiology, 2023 - pubs.rsna.org
Background Approximately half of adults with chronic obstructive pulmonary disease
(COPD) remain undiagnosed. Chest CT scans are frequently acquired in clinical practice …

Impact of image pre-processing methods on computed tomography radiomics features in chronic obstructive pulmonary disease

RC Au, WC Tan, J Bourbeau, JC Hogg… - Physics in Medicine & …, 2021 - iopscience.iop.org
Computed tomography (CT) imaging texture-based radiomics analysis can be used to
assess chronic obstructive pulmonary disease (COPD). However, different image pre …

A novel CT-based radiomics features analysis for identification and severity staging of COPD

Z Li, L Liu, Z Zhang, X Yang, X Li, Y Gao, K Huang - Academic Radiology, 2022 - Elsevier
Rationale and Objectives To evaluate the role of radiomics based on Chest Computed
Tomography (CT) in the identification and severity staging of chronic obstructive pulmonary …

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) …

CT imaging with machine learning for predicting progression to COPD in individuals at risk

K Makimoto, JC Hogg, J Bourbeau, WC Tan, M Kirby - Chest, 2023 - Elsevier
Background Identifying individuals at risk of progressing to COPD may allow for initiation of
treatment to potentially slow the progression of the disease or the selection of subgroups for …

The value of radiomic features in chronic obstructive pulmonary disease assessment: a prospective study

K Yang, Y Yang, Y Kang, Z Liang, F Wang, Q Li, J Xu… - Clinical Radiology, 2022 - Elsevier
AIM To investigate whether radiomic features could supply additional information in the
assessment of lung function, health status, and exacerbation of chronic obstructive …

Comparison of feature selection methods and machine learning classifiers for predicting chronic obstructive pulmonary disease using texture-based CT lung radiomic …

K Makimoto, R Au, A Moslemi, JC Hogg, J Bourbeau… - Academic …, 2023 - Elsevier
Rationale Texture-based radiomics analysis of lung computed tomography (CT) images has
been shown to predict chronic obstructive pulmonary disease (COPD) status using machine …

Quantitative CT lung imaging and machine learning improves prediction of emergency room visits and hospitalizations in COPD

A Moslemi, K Makimoto, WC Tan, J Bourbeau… - Academic …, 2023 - Elsevier
Rationale Predicting increased risk of future healthcare utilization in chronic obstructive
pulmonary disease (COPD) patients is an important goal for improving patient management …

Subtyping COPD by using visual and quantitative CT imaging features

J Park, BD Hobbs, JD Crapo, BJ Make, EA Regan… - Chest, 2020 - Elsevier
Background Multiple studies have identified COPD subtypes by using visual or quantitative
evaluation of CT images. However, there has been no systematic assessment of a combined …

Chronic obstructive pulmonary disease: thoracic CT texture analysis and machine learning to predict pulmonary ventilation

A Westcott, DPI Capaldi, DG McCormack, AD Ward… - Radiology, 2019 - pubs.rsna.org
Background Fixed airflow limitation and ventilation heterogeneity are common in chronic
obstructive pulmonary disease (COPD). Conventional noncontrast CT provides airway and …