Skip to main content
OpenTrials
Completed

NCT Number: NCT02958683

Chest Wall Motion Analysis in Disease

Breathing movements, called chest wall motion, are very complex. The investigators are studying how movement of the abdomen, ribs and diaphragm contribute to breathing and how this differs with different diseases in the chest. Breathing movements may help with diagnosis, assessment of severity or assessing the impact of treatments for chest conditions. The investigators are following people who have a chest disease, measuring their chest wall motion and comparing it to their diagnosis and and how their treatment works.

Chest wall motion can be measured in different ways at rest and whilst exercising. Small stickers on the chest can be used to reflect infra red light or visible squares of light can be shone onto the chest without using stickers.

Completed

Looking for future studies?

Notify Me

Key information

Conditions

Mesothelioma Adenoma Bone Diseases Bone Diseases, Developmental Cartilage Diseases Chronic Disease Congenital Abnormalities Congenital, Hereditary, and Neonatal Diseases and Abnormalities Connective Tissue Diseases Cystic Fibrosis Digestive System Diseases Disease Attributes Empyema Empyema, Pleural Funnel Chest Genetic Diseases, Inborn Infant, Newborn, Diseases Infections Inflammation Lung Diseases Lung Diseases, Obstructive Lung Neoplasms Musculoskeletal Abnormalities Musculoskeletal Diseases Neoplasms Neoplasms by Histologic Type Neoplasms by Site Neoplasms, Glandular and Epithelial Neoplasms, Mesothelial Pancreatic Diseases Pathologic Processes Pathological Conditions, Signs and Symptoms Pectus Carinatum Pectus Excavatum Pleural Diseases Pulmonary Disease, Chronic Obstructive Respiratory Tract Diseases Respiratory Tract Infections Respiratory Tract Neoplasms Skin and Connective Tissue Diseases Suppuration Surgery Thoracic Neoplasms

Age range

16 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Heart of England NHS Foundation Trust

Birmingham, West Midlands, B95SS, United Kingdom

About this study

Optoelectronic plethysmography (OEP) is based on the analysis during breathing of the trajectories of a series of markers positioned on the thoracic-abdominal surface of the patient. The positions in space of these markers are recorded and processed with mathematical models and algorithms by a computing unit that can accurately measure not only volume variations of the whole thoracic-abdominal wall, but also the variations of the various compartments. This detects, for example, asymmetries in the action of respiratory muscles. The system can accurately measure current volume, vital capacity, respiratory frequency, duration of the phases of inspiration and exhalation, the average inspiration and exhalation flux and the volume variations at the end of exhalation.

Structured Light Plethysmography (SLP) also assesses regional chest wall excursion but does not require markers to be placed on the patient. The system uses visible light shone onto the chest wall in a checkerboard pattern and reflected back by the patient's skin or a tight T shirt.

Images from 4 Microsoft Kinnect Motion Cameras can be used to create a 3D representation of the patient's torso. This system has been shown to correlate well with chest wall measurements recorded by OEP.

These systems are innovative examination instruments, non-invasive, accurate, easy to use and unlike traditional plethysmographic technologies, are not affected by humidity and temperature variations and can easily be used to perform measurements for extended periods of time. They accurately measure the dynamics of the volume variations that occur during breathing in the various sections of the thoracic-abdominal walls (upper, lower and abdominal thoracic area). This data, which is otherwise undetectable, is a useful contribution to the evaluation of patients. We will apply chest wall motion analysis to understanding the physiology of thoracic disease processes as well as assessing potential diagnostic and prognostic (response to treatment) markers that could be used in future clinical practice.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Aged 16 or over
  • Have thoracic disease or healthy control

Exclusion criteria

  • Unable to provide valid informed consent

Treatment and study plan

Chest wall motion analysis

Other

Assessment of chest wall motion using novel technologies including: optoelectronic plethysmography (OEP), structured light plethysmography (SLP), Microsoft Kinnect

Primary outcomes

  1. Change in volume of each thoracoabdominal compartment during breathing

    Time frame: Baseline, follow up after normal clinical care up to 3 times (inpatient after surgery, 4-6 weeks, 3-12 months)

    Measured in litres

Secondary outcomes

  1. Synchrony of chest wall movement

    Time frame: Baseline, follow up after normal clinical care up to 3 times (inpatient after surgery, 4-6 weeks, 3-12 months)

    Measured in degrees

Sponsors and collaborators

Lead sponsor

Heart of England NHS Trust

Other

Collaborators

  • University of Birmingham
  • University of Warwick

Registry information

Official study title

An Observational Study of Chest Wall Motion Analysis in Disease

Acronym: CWM

Important dates

Study start
2011
Primary completion
2015
Study completion
2015
First posted
Nov 8, 2016
Registry last updated
Feb 22, 2019

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Related clinical trials

Published trials that share one or more normalized conditions with this study.