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| Name | Class |
|---|---|
| University of Birmingham | OTHER |
| University of Warwick | OTHER |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Pectus excavatum | Patients with pectus excavatum (funnel chest) condition undergo chest wall motion analysis |
| |
| Pectus carinatum | Patients with pectus carinatum (pigeon chest) condition undergo chest wall motion analysis |
| |
| Chronic obstructive pulmonary disease | Patients affected by COPD undergo chest wall motion analysis |
| |
| Diaphragm abnormality | Patients with abnormal function or structure of the diaphragm. Including diaphragmatic hernia/rupture and diaphragmatic paralysis undergo chest wall motion analysis |
| |
| Healthy control | People who do not have any diagnosed thoracic condition and who do not have symptoms/signs suggestive of undiagnosed thoracic disease undergo chest wall motion analysis |
| |
| Lung cancer |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Chest wall motion analysis | Other | Assessment of chest wall motion using novel technologies including: optoelectronic plethysmography (OEP), structured light plethysmography (SLP), Microsoft Kinnect |
| Measure | Description | Time Frame |
|---|---|---|
| Change in volume of each thoracoabdominal compartment during breathing | Measured in litres | Baseline, follow up after normal clinical care up to 3 times (inpatient after surgery, 4-6 weeks, 3-12 months) |
| Measure | Description | Time Frame |
|---|---|---|
| Synchrony of chest wall movement | Measured in degrees | Baseline, follow up after normal clinical care up to 3 times (inpatient after surgery, 4-6 weeks, 3-12 months) |
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Inclusion Criteria:
Exclusion Criteria:
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Adult patients or their healthy acquaintances attending Heart of England NHS Foundation trust for care under the thoracic surgery department or respiratory department.
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| Name | Affiliation | Role |
|---|---|---|
| Babu Naidu, MBBS | Heart of England NHS Foundation Trust | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Heart of England NHS Foundation Trust | Birmingham | West Midlands | B95SS | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 14533277 | Background | Aliverti A, Pedotti A. Opto-electronic plethysmography. Monaldi Arch Chest Dis. 2003 Jan-Mar;59(1):12-6. | |
| 30621729 | Derived | Oswald N, Jalal Z, Kadiri S, Naidu B. Changes in chest wall motion with removal of Nuss bar in repaired pectus excavatum - a cohort study. J Cardiothorac Surg. 2019 Jan 8;14(1):4. doi: 10.1186/s13019-018-0827-1. |
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| ID | Term |
|---|---|
| D008654 | Mesothelioma |
| D008175 | Lung Neoplasms |
| D003550 | Cystic Fibrosis |
| D066166 | Pectus Carinatum |
| D005660 | Funnel Chest |
| D016724 | Empyema, Pleural |
| D029424 | Pulmonary Disease, Chronic Obstructive |
| ID | Term |
|---|---|
| D000236 | Adenoma |
| D009375 | Neoplasms, Glandular and Epithelial |
| D009370 | Neoplasms by Histologic Type |
| D009369 | Neoplasms |
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Patients with suspected or confirmed lung malignancy of all histological subtypes undergo chest wall motion analysis
|
| Pleural disease | Patients with pleural thickening and/or pleural effusion, pneumothorax, empyema undergo chest wall motion analysis |
|
| Asthma | Patients diagnosed with asthma clinically or upon spirometry undergo chest wall motion analysis |
|
| Cystic fibrosis | Patients diagnosed with cystic fibrosis clinically or biochemically undergo chest wall motion analysis |
|
| Rib or sternal disease | Patients with an abnormality in the chest wall including fractures, osteomyelitis, malignancy of all histological subtypes, chest wall resection/reconstruction undergo chest wall motion analysis |
|
| D018301 |
| Neoplasms, Mesothelial |
| D012142 | Respiratory Tract Neoplasms |
| D013899 | Thoracic Neoplasms |
| D009371 | Neoplasms by Site |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D010182 | Pancreatic Diseases |
| D004066 | Digestive System Diseases |
| D030342 | Genetic Diseases, Inborn |
| D009358 | Congenital, Hereditary, and Neonatal Diseases and Abnormalities |
| D007232 | Infant, Newborn, Diseases |
| D001848 | Bone Diseases, Developmental |
| D001847 | Bone Diseases |
| D009140 | Musculoskeletal Diseases |
| D002357 | Cartilage Diseases |
| D009139 | Musculoskeletal Abnormalities |
| D000013 | Congenital Abnormalities |
| D003240 | Connective Tissue Diseases |
| D017437 | Skin and Connective Tissue Diseases |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
| D004653 | Empyema |
| D013492 | Suppuration |
| D010995 | Pleural Diseases |
| D007249 | Inflammation |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D008173 | Lung Diseases, Obstructive |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |