Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Computed Tomography01:10

Computed Tomography

4.4K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
4.4K
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

2.5K
Assessing and diagnosing Chronic Obstructive Pulmonary Disease (COPD) involves a detailed approach that includes a comprehensive review of medical history, physical examination, and a variety of diagnostic tests. This thorough evaluation is essential to ensure an accurate diagnosis and guide effective management strategies.
Medical History
2.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reproducibility of the 6-Minute Walk Test on a 20-Metre Course in Community Dwelling Adults With Chronic Obstructive Pulmonary Disease.

Physiotherapy Canada. Physiotherapie Canada·2026
Same author

Poor Sleep Quality and Heightened Perceptual Responses to Exercise in Community Dwellers: Results from the CanCOLD Study.

Annals of the American Thoracic Society·2026
Same author

Reply: Why fan therapy does not yet demonstrate enhanced training benefits in people with chronic respiratory disease.

The European respiratory journal·2026
Same author

The Impact of Neighborhood Material and Social Disadvantage on Respiratory Health Across Canada.

The European respiratory journal·2026
Same author

Deep Learning Segmentation of Pectoralis Muscle Volume at CT and Comparison with Pectoralis Muscle Area in COPD.

Radiology. Cardiothoracic imaging·2026
Same author

Comparison of Pi10 and PiSlope calculation methods and association with lung function.

European radiology·2025

Related Experiment Video

Updated: Jun 20, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.1K

Enhancing COPD classification using combined quantitative computed tomography and texture-based radiomics: a CanCOLD

Kalysta Makimoto1, James C Hogg2, Jean Bourbeau3,4

  • 1Toronto Metropolitan University, Toronto, ON, Canada.

ERJ Open Research
|July 23, 2024
PubMed
Summary

Combining texture-based radiomics and quantitative CT (qCT) with demographics significantly improves machine learning models for classifying COPD status and severity, offering a more accurate diagnostic approach.

More Related Videos

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

575
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

Related Experiment Videos

Last Updated: Jun 20, 2025

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia
08:05

Lung CT Segmentation to Identify Consolidations and Ground Glass Areas for Quantitative Assesment of SARS-CoV Pneumonia

Published on: December 19, 2020

14.1K
Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
02:09

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

Published on: April 12, 2024

575
Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
07:53

Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer

Published on: October 13, 2023

1.4K

Area of Science:

  • Medical Imaging
  • Radiology
  • Pulmonary Medicine

Background:

  • Chronic Obstructive Pulmonary Disease (COPD) diagnosis and staging are critical for effective management.
  • Texture-based computed tomography (CT) radiomics shows promise in enhancing COPD classification.
  • Quantitative CT (qCT) features provide additional insights into lung structure.

Purpose of the Study:

  • To evaluate the effectiveness of combining texture-based radiomics and qCT features with demographic data for classifying COPD status and severity.
  • To compare the performance of different machine learning model combinations.

Main Methods:

  • Utilized data from the Canadian Cohort Obstructive Lung Disease (CanCOLD) study.
  • Extracted 95 texture-based radiomic features, 8 qCT features, and 5 demographic features from CT scans.
  • Developed and evaluated machine learning models using various combinations of feature sets and classification methods, assessed by Area Under the Receiver Operating Characteristic Curve (AUC).

Main Results:

  • The combined model of demographics, texture-based radiomics, and qCT achieved the highest AUC for COPD status (0.87) and severity (0.81) classification.
  • This combination outperformed models using only demographics and texture-based radiomics or qCT alone.
  • Key features included histogram percentiles, airway counts, pack-years, and texture matrix parameters.

Conclusions:

  • Texture-based radiomics and qCT features, when integrated with demographic data, significantly enhance machine learning model performance for COPD classification.
  • This multimodal approach offers improved accuracy for determining COPD status and severity.