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Thoracic Motion Analysis Using a TrueDepth Camera in Patients with Relapsing Polychondritis: A Pilot Study
Yoshihiro Nishi1, Shohei Sato2, Hiroshi Handa1
1Division of Respiratory Medicine, Department of Internal Medicine, St. Marianna University School of Medicine, Kawasaki 216-8511, Japan.
A smartphone app using a TrueDepth camera shows promise for assessing respiratory function in relapsing polychondritis (RP) patients. This non-invasive tool correlates well with spirometry, offering an alternative for those unable to perform traditional lung function tests.
Area of Science:
- Pulmonary Medicine
- Medical Technology
Background:
- Relapsing polychondritis (RP) is a rare autoimmune disease causing airway inflammation.
- Airway complications in RP, like stenosis, worsen prognosis.
- Spirometry may be impractical for RP patients with severe airway compromise or tracheostomy.
Purpose of the Study:
- To evaluate a smartphone application, DepthRecorder, for real-time thoracic motion analysis.
- To assess the correlation between DepthRecorder and standard spirometry in RP patients.
Main Methods:
- Twelve relapsing polychondritis patients underwent simultaneous spirometry and DepthRecorder assessment.
- Thoracic motion data from DepthRecorder were height-corrected.
- Spearman's rank correlation analyzed the relationship between DepthRecorder and spirometry (FVC, FEV1, FEV1/FVC).
Main Results:
- Uncorrected DepthRecorder showed moderate correlation with FEV1 and FEV1/FVC.
- Height-corrected data revealed stronger correlations: FVC (ρ=0.76), FEV1 (ρ=0.72), and FEV1/FVC (ρ=0.60).
- All correlations after correction were statistically significant (p < 0.001).
Conclusions:
- The height-corrected DepthRecorder application correlates strongly with spirometry.
- This technology offers a potential non-invasive respiratory assessment tool for RP patients.
- Further validation and establishment of clinical standards are necessary.
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