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Postural Assessment by Photogrammetry

This study has been completed.
Information provided by:
Universidade de Franca Identifier:
First received: February 19, 2009
Last updated: NA
Last verified: February 2009
History: No changes posted
This study aimed to measure the degree of thoracic kyphosis in elderly women with those affected by osteoporosis in the spine, through photogrammetry computer and check the difference between the values obtained with the assumption of greater thoracic kyphosis in osteoporotic women.


Study Type: Observational
Official Title: Evaluation of Thoracic Kyphosis in Elderly Women Affected by Osteoporosis Through Computerized Photogrammetry

Resource links provided by NLM:

Further study details as provided by Universidade de Franca:

Primary Outcome Measures:
  • Computerized Photogrammetry

Biospecimen Description:
The two groups were photographed in the sagittal plane with right column markers fixed on two anatomical points. The selected images were quantified by computerized photogrametry, using the program Autocad-2006

Estimated Enrollment: 12
Study Start Date: April 2007
Study Completion Date: February 2009
Primary Completion Date: November 2007 (Final data collection date for primary outcome measure)
Group 1 was composed of six women with a densitometric diagnosis of osteoporosis in column (DP =- 2.70 to -4.97), with an average weight of 57.5 (+6.9) kg, mean height of 1 , 4 (+ 0.07) my body mass index (BMI) of 26.1 (+1.8) Kg/m2
Group 2 consists of six women with a densitometric diagnosis of osteopenia in column (DP =- 1.07 to -2.09), with an average weight of 62.1 (+9.9) kg, mean height of 1, 5 (+0.03) I BMI 25.3 (3.3) kg/m2, both compared with young adults

Detailed Description:

The decrease in bone density of vertebrae leads to a reduction of the anterior vertebral bodies, resulting in compression and collapse of vertebrae, with narrowing of intervertebral disc spaces and, determining a number of deformities in the spine and postural changes, among which can highlight the increase in thoracic kyphosis. This becomes significantly higher with age and after menopause, defined as an increase in curvature in the sagittal plane of the thoracic spine.

Radiographic images have been used for the measurement of thoracic kyphosis, but with some drawbacks of this method such as radiation exposure, radiographic image quality unsatisfactory hampering its analysis and the lack of equipment in the physical environment to monitor clinical evolution of the treatment, causing thus the search for noninvasive methods for evaluating the curves of the spine, including the photogrammetry computed.

According to the American Society of Photogrammetry, the computed photogrammetry is "the art, science and technology of information on physical objects and environment through processes of recording, measuring and interpreting photographic images and patterns of electromagnetic radiant energy and other sources." It is a widely used tool for assessment by quantifying the postural changes through the application of photogrammetric principles to photographic images obtained in body movements, adding to the diagnostic evaluation for physical therapy in different areas.


Ages Eligible for Study:   65 Years to 74 Years   (Adult, Senior)
Sexes Eligible for Study:   Female
Accepts Healthy Volunteers:   Yes
Sampling Method:   Non-Probability Sample
Study Population
The investigators evaluated 12 women with mean age of 68.5 years (range 65 to 74 years), divided into two groups. Group 1 consists of six women with a densitometric diagnosis of osteoporosis in column (SD: -2.70 to -4.97) and group 2 consists of six women with a densitometric diagnosis of osteopenia in column (DP: 1.07 to -2 , 09), both compared with young adults.

Inclusion Criteria:

  • age between 50 and 80 years
  • with examination of bone densitometry
  • with densitometric diagnosis of osteopenia in the first group, the second group for osteoporosis,
  • willing to participate in the study

Exclusion Criteria:

  • presence of severe scoliosis, ankylosing spondylitis, obesity
  • presence of neurological diseases serious
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Please refer to this study by its identifier: NCT00848159

Sponsors and Collaborators
Universidade de Franca
Principal Investigator: Ana Cristina Rodrigues Universidade de Franca
Principal Investigator: Lislei Patrizzi Universidade de Franca
  More Information

Responsible Party: Lislei Jorge Patrizzi, Universidade de Franca Identifier: NCT00848159     History of Changes
Other Study ID Numbers: 041/07
Study First Received: February 19, 2009
Last Updated: February 19, 2009

Keywords provided by Universidade de Franca:

Additional relevant MeSH terms:
Bone Diseases, Metabolic
Bone Diseases
Musculoskeletal Diseases processed this record on August 18, 2017