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

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
Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care01:29

Pulmonary Embolism II: Diagnostic Studies and Interprofessional Care

Diagnosing Pulmonary EmbolismDiagnosing pulmonary embolism (PE) involves clinical assessment and advanced imaging tests. The preferred diagnostic tool is the spiral (helical) CT scan or CT angiography (CTA), which uses intravenous contrast media to visualize the pulmonary vasculature and identify emboli.A ventilation-perfusion (V/Q) scan is an alternative for patients unable to receive contrast media. This scan includes both perfusion and ventilation scanning. Perfusion scanning involves...

You might also read

Related Articles

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

Sort by
Same author

Time-Updated Prognostic Modeling in ICU Patients with Documented Coma or Unresponsiveness Using Routine Arterial Blood Gas Trajectories: An Exploratory Explainable Machine-Learning Study.

Journal of clinical medicine·2026
Same author

Maternal Complications Associated with Primiparous Adolescent Pregnancies.

Journal of clinical medicine·2026
Same author

Antibiotic Consumption and Healthcare-Associated Infection Surveillance in a Multi-Unit Emergency Hospital in Romania: A Retrospective Observational Study.

Medicina (Kaunas, Lithuania)·2026
Same author

The Role of Microbiota in Type 1 Diabetes: Insights into Dysbiosis and Immune Interactions.

Nutrients·2026
Same author

Influenza-Associated Hospitalizations in Unvaccinated Children Across Six Consecutive Seasons: Clinical Burden and Regional Vaccination Coverage Trends in Galați County, Romania.

Vaccines·2026
Same author

Early Gut Microbiota and Neurodevelopmental Trajectories: Implications for Pediatric Neuropsychiatric Vulnerability-A Narrative Review.

Nutrients·2026

Related Experiment Video

Updated: Jun 17, 2026

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
07:56

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

3.4K

A Simulation-Based Mechanical System-Identification Framework for Non-Invasive Lung Diagnostics and Personalized

Paraschiva Postolache1, Călin Gheorghe Buzea2,3, Alin Horatiu Nedelcu1

  • 1Faculty of Medicine, Grigore T. Popa University of Medicine and Pharmacy Iasi, 16 Universitatii Street, 700115 Iasi, Romania.

Life (Basel, Switzerland)
|May 4, 2026
PubMed
Summary

This study introduces a new diagnostic framework for lung disease using mechanical system identification. It shows that regional lung mechanics can be identified non-invasively, potentially improving diagnosis and personalized treatment.

Keywords:
frequency responseinverse analysislung mechanicsmechanical impedancemechanical system identificationnon-invasive diagnosticspulmonary disease modelingregional lung stiffnessrobustness analysisviscoelastic modeling

More Related Videos

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

1.6K
Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
03:38

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

Published on: June 20, 2025

1.1K

Related Experiment Videos

Last Updated: Jun 17, 2026

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models
07:56

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models

Published on: November 11, 2020

3.4K
Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

1.6K
Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models
03:38

Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

Published on: June 20, 2025

1.1K

Area of Science:

  • Biomedical Engineering
  • Pulmonary Medicine
  • Systems Biology

Background:

  • Current lung disease diagnostics (imaging, pulmonary function tests) lack regional mechanical detail.
  • This limits the detection of early pathological changes and mechanical heterogeneity.
  • Existing methods provide static structural data or global indices, missing regional insights.

Purpose of the Study:

  • To introduce and evaluate a conceptual diagnostic framework for the lung based on mechanical system identification.
  • To assess the feasibility of inferring internal lung mechanical properties from external responses.
  • To explore a non-invasive approach for assessing regional lung mechanics.

Main Methods:

  • Treated the lung-thorax system as an identifiable viscoelastic dynamical system.
  • Developed a multi-degree-of-freedom mechanical model of the lung.
  • Used sensitivity and Fisher-information analysis to confirm parameter identifiability.
  • Performed inverse fitting with simulated noisy frequency response data.

Main Results:

  • Confirmed structural identifiability of regional stiffness parameters.
  • Accurately recovered simulated stiffness perturbations from noisy data.
  • Achieved complete separation of simulated pathological configurations in classification experiments.
  • Demonstrated theoretical feasibility of identifying regional mechanical alterations.

Conclusions:

  • A diagnostic paradigm based on mechanical system identification is theoretically feasible.
  • This approach offers a complementary, non-invasive method for assessing regional lung mechanics.
  • Quantifying regional stiffness and heterogeneity can aid personalized pulmonary rehabilitation.