Services on Demand
- Cited by Google
- Similars in SciELO
- Similars in Google
Jornal Brasileiro de Pneumologia
On-line version ISSN 1806-3756
RICIERI, Denise da Vinha and ROSARIO FILHO, Nelson Augusto. Effectiveness of a photogrammetric model for the analysis of thoracoabdominal respiratory mechanics in the assessment of isovolume maneuvers in children. J. bras. pneumol. [online]. 2009, vol.35, n.2, pp. 144-150. ISSN 1806-3756. http://dx.doi.org/10.1590/S1806-37132009000200007.
OBJECTIVE: To test the applicability of a geometric model, adapted to the supine position, for the analysis of respiratory mechanics regarding changes in lateral thoracoabdominal areas in children with asthma. METHODS: Nineteen children (mean age, 11.26 ± 1.28 years) performed isovolume maneuvers (IVMs) after maximal inspiration, followed by glottal closure and alternation of airflow between the abdominal and thoracic compartments. The maneuvers were recorded in a digital video camera placed perpendicularly to the movement plane, and the images of interest were selected. The geometric model was traced on each image based on surface landmarks of anatomical references. The traced areas were calculated using a computer program, and the results were converted into metric units (cm2) using a surface landmark of a known area. Relative contributions (RCs) of the subcompartments in relation to their original compartments and to the chest wall (CW) were calculated. RESULTS: The model was based on 55 thoracic IVM images and 55 abdominal IVM images. Areas and subareas were compared between the maneuvers. There were significant differences in all subcompartments (p < 0.001). All of the RCs were significantly different for the CW (p < 0.001) but not for the ratios between the subcompartments and their original compartments. CONCLUSIONS: This geometric model, applied in children and adapted to the supine position, was effective in profiling changes in the thoracoabdominal silhouette during the IVMs, and the selected subdivisions were useful for the identification of areas contributing the most and the least to CW composition.
Keywords : Photogrammetry; Respiratory mechanics; Image processing, computer-assisted.