Literature DB >> 21862911

Digital stereophotogrammetry as a new technique to quantify truncal deformity: a pilot study in persons with osteogenesis imperfecta.

Lisa R Gabor1, Andrew P Chamberlin, Ellen Levy, Monique B Perry, Holly Cintas, Scott M Paul.   

Abstract

The objective of this pilot study was to determine the usability of stereophotogrammetry (SP) as a noninvasive technique for obtaining linear measures and anatomical data of the torso in people with osteogenesis imperfecta in comparison with clinical observations. Ten participants were recruited from subjects enrolled in ongoing institutional review board-approved osteogenesis imperfecta protocols at the National Institute of Child Health and Human Development. Using a Gulick tape measure, anthropometer, and the SP system proprietary software, linear measurements of the torso were taken. In addition, the presence or absence of specific torso deformities was documented from both clinical observation and evaluation of SP images. Measurements of torso diameter and circumference by SP demonstrated strong agreement with the manual measurements (intraclass correlation coefficient = 0.995 and 0.964, respectively). Substantial and statistically significant agreement was present between SP image evaluation and clinical observation for pectus carinatum (κ = 0.52 ± 0.23) and thoracic scoliosis (κ = 0.72 ± 0.12). The kappa values between clinical observation and SP evaluations of other torso deformities were not significant. The strong correlations and P values determined by this study demonstrate the potential value of SP in studying persons with truncal deformities. However, the weak agreement between SP and some clinical observations suggests that further development of SP image analysis tools is required before SP can be used as a standard method of diagnosis or assessment of treatment success.

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Year:  2011        PMID: 21862911      PMCID: PMC3529410          DOI: 10.1097/PHM.0b013e3182240c2c

Source DB:  PubMed          Journal:  Am J Phys Med Rehabil        ISSN: 0894-9115            Impact factor:   2.159


  10 in total

1.  Pre-processing range data for the analysis of torso shape and symmetry of scoliosis patients.

Authors:  Anish Kumar; Peter Ajemba; Nelson Durdle; James Raso
Journal:  Stud Health Technol Inform       Date:  2006

2.  Estimation of spinal deformity in scoliosis from torso surface cross sections.

Authors:  J L Jaremko; P Poncet; J Ronsky; J Harder; J Dansereau; H Labelle; R F Zernicke
Journal:  Spine (Phila Pa 1976)       Date:  2001-07-15       Impact factor: 3.468

3.  Osteogenesis imperfecta type II delineation of the phenotype with reference to genetic heterogeneity.

Authors:  D O Sillence; K K Barlow; A P Garber; J G Hall; D L Rimoin
Journal:  Am J Med Genet       Date:  1984-02

4.  Genetic heterogeneity in osteogenesis imperfecta.

Authors:  D O Sillence; A Senn; D M Danks
Journal:  J Med Genet       Date:  1979-04       Impact factor: 6.318

5.  Indices of torso asymmetry related to spinal deformity in scoliosis.

Authors:  Jacob L Jaremko; Philippe Poncet; Janet Ronsky; James Harder; Jean Dansereau; Hubert Labelle; Ronald F Zernicke
Journal:  Clin Biomech (Bristol, Avon)       Date:  2002-10       Impact factor: 2.063

6.  Validating an imaging and analysis system for assessing torso deformities.

Authors:  Peter O Ajemba; Nelson G Durdle; Doug L Hill; V James Raso
Journal:  Comput Biol Med       Date:  2007-12-11       Impact factor: 4.589

7.  Reliability, validity, and precision of an active stereophotogrammetry system for three-dimensional evaluation of the human torso.

Authors:  Scott M Paul; Andrew P Chamberlin; Charles Hatt; Amritha V Nayak; Jerome V Danoff
Journal:  Med Eng Phys       Date:  2009-10-12       Impact factor: 2.242

8.  Clinical monitoring of torso deformities in scoliosis using structured splines models.

Authors:  Peter O Ajemba; Nelson G Durdle; V James Raso
Journal:  Med Biol Eng Comput       Date:  2008-10-01       Impact factor: 2.602

Review 9.  Osteogenesis imperfecta: recent findings shed new light on this once well-understood condition.

Authors:  Donald Basel; Robert D Steiner
Journal:  Genet Med       Date:  2009-06       Impact factor: 8.822

10.  Classifying torso deformity in scoliosis using orthogonal maps of the torso.

Authors:  Peter Ajemba; Nelson Durdle; Doug Hill; James Raso
Journal:  Med Biol Eng Comput       Date:  2007-05-30       Impact factor: 3.079

  10 in total

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