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

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies01:27

Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies

3.1K
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
3.1K
Pulmonary Function Tests01:25

Pulmonary Function Tests

718
Pulmonary Function Tests (PFTs)
Pulmonary Function Tests are crucial diagnostic tools for assessing respiratory function, particularly in patients with chronic respiratory disorders. They comprehensively evaluate lung volumes, ventilatory function, breathing mechanics, diffusion, and gas exchange. These tests help diagnose pulmonary diseases and play a significant role in monitoring disease progression, evaluating disability, and assessing response to therapy.
PFTs involve using a spirometer, a...
718

You might also read

Related Articles

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

Sort by
Same author

Advancing forensic medicine through AI-based injury detection: innovation as the catalyst for forensic 3D avatars and translation as the pathway toward courtroom-grade digital twins.

Forensic science, medicine, and pathology·2026
Same author

Could we reduce renal toxicity of [<sup>177</sup>Lu]Lu-PSMA radioligand therapy with furosemide?

European journal of nuclear medicine and molecular imaging·2026
Same author

Are you always working in the dark? The impact of limited daylight exposure on radiologists' health.

Insights into imaging·2026
Same author

The Impact of AI on Eye Gaze Patterns in Chest X-Ray Interpretation: An Eye Tracking Study of Novice and Expert Radiologists.

Investigative radiology·2026
Same author

Forensic 3D avatars - AI-assisted injury detection and interactive digital-twin visualization.

Forensic science, medicine, and pathology·2026
Same author

Association Between AI-derived Thoracic Calcium Volume and Aortic Valve Calcification Quantified by Agatston Scoring.

In vivo (Athens, Greece)·2026
Same journal

Mortality trends and projections for type 2 diabetes with concomitant Parkinson's versus Alzheimer's disease among older United States adults, 1999-2023: A retrospective cohort study.

Medicine·2026
Same journal

The causal relationship between the palmitoylation gene ZDHHC13 and ulcerative colitis: A Mendelian randomization study implicating CD62L-monocyte AC.

Medicine·2026
Same journal

Intraoperative outcomes of 2-dose indocyanine green fluorescence imaging strategies versus white light in laparoscopic cholecystectomy for cystic duct stones: A retrospective comparative study.

Medicine·2026
Same journal

Development and internal validation of a risk prediction model for gastric precancerous lesions integrating Helicobacter pylori serologic typing and host susceptibility polymorphisms.

Medicine·2026
Same journal

Causal effects of circulating inflammatory proteins on COPD: A Mendelian randomization study.

Medicine·2026
Same journal

Laparoscopic duodenojejunostomy for recurrent acute pancreatitis associated with superior mesenteric artery syndrome in a medically complex patient: A case report and literature review.

Medicine·2026
See all related articles

Related Experiment Video

Updated: Jan 9, 2026

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

969

Comparative evaluation of emphysema quantification: Standardized %LAV-950 versus DL-based emphysema quantification

Dana Belde1,2, Janko Rakic3, Jakob Heimer4

  • 1Department of Radiology, Kantonsspital Baden, Affiliated Hospital for Research and Teaching of the Faculty of Medicine of the University of Zurich, Baden, Switzerland.

Medicine
|December 2, 2025
PubMed
Summary
This summary is machine-generated.

A deep learning algorithm shows stronger correlation with pulmonary function tests for emphysema quantification on chest CT scans compared to the %LAV-950 method. This AI approach offers more accurate emphysema assessment for clinical use.

Keywords:
artificial intelligencecomputed tomographyemphysemaemphysema quantificationlung densitiypulmonary function tests

More Related Videos

Measurement of the Pressure-volume Curve in Mouse Lungs
09:49

Measurement of the Pressure-volume Curve in Mouse Lungs

Published on: January 27, 2015

19.3K
Combining Volumetric Capnography And Barometric Plethysmography To Measure The Lung Structure-function Relationship
08:25

Combining Volumetric Capnography And Barometric Plethysmography To Measure The Lung Structure-function Relationship

Published on: January 8, 2019

9.9K

Related Experiment Videos

Last Updated: Jan 9, 2026

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

969
Measurement of the Pressure-volume Curve in Mouse Lungs
09:49

Measurement of the Pressure-volume Curve in Mouse Lungs

Published on: January 27, 2015

19.3K
Combining Volumetric Capnography And Barometric Plethysmography To Measure The Lung Structure-function Relationship
08:25

Combining Volumetric Capnography And Barometric Plethysmography To Measure The Lung Structure-function Relationship

Published on: January 8, 2019

9.9K

Area of Science:

  • Radiology and Medical Imaging
  • Artificial Intelligence in Medicine
  • Pulmonary Medicine

Background:

  • Emphysema quantification in chronic obstructive pulmonary disease (COPD) is crucial for diagnosis and management.
  • Traditional methods like %LAV-950 have limitations in accurately reflecting disease severity.
  • Advanced imaging analysis techniques are needed to improve emphysema assessment.

Purpose of the Study:

  • To compare the correlation between a deep learning (DL) algorithm and the %LAV-950 threshold method for emphysema quantification.
  • To evaluate the association of these quantification methods with pulmonary function test (PFT) parameters (FEV₁ and KCO).
  • To assess the performance of DL and %LAV-950 using different CT reconstruction kernels (lung and soft tissue).

Main Methods:

  • Retrospective analysis of chest CT scans and PFTs from 101 COPD patients.
  • Emphysema quantification using the %LAV-950 method and a DL-based algorithm.
  • Analysis of quantitative CT metrics derived from lung and soft tissue reconstruction kernels.
  • Pearson correlation and permutation testing to compare CT metrics with FEV₁ and KCO.

Main Results:

  • The DL method showed moderate correlations with FEV₁ (lung kernel) and KCO (soft tissue kernel).
  • The %LAV-950 method demonstrated only a weak correlation with FEV₁ (soft tissue kernel) and no significant association with KCO.
  • Permutation testing confirmed a significantly stronger correlation with KCO for the DL method compared to %LAV-950 using soft tissue kernels.
  • DL approach showed more consistent correlations across different kernels and PFT parameters.

Conclusions:

  • The deep learning-based algorithm provides a more accurate and consistent quantification of emphysema compared to the %LAV-950 method.
  • DL-based emphysema quantification shows stronger associations with key pulmonary function parameters.
  • These findings support the integration of AI-driven emphysema quantification into routine CT analysis for improved COPD assessment.