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Utilize este identificador para citar ou criar um link para este item: http://acervodigital.unesp.br/handle/11449/15853
Título: 
Pixel intensity and fractal analyses: detecting osteoporosis in perimenopausal and postmenopausal women by using digital panoramic images
Autor(es): 
Instituição: 
  • Universidade Estadual Paulista (UNESP)
  • Univ Connecticut
ISSN: 
1079-2104
Resumo: 
Objective. Pixel intensity values (PI) and fractal dimensions (FD) were compared in selected mandibular regions on digital panoramic images of normal, osteopenic, and osteoporotic perimenopausal and postmenopausal women to evaluate their relative efficacies in detecting osteoporotic-associated bone density changes.Study design. Standardized mandibular angle, body, and canine/premolar (C/PM) regions on 54 charge-coupied device (CCD) digital panoramic images of normal and potentially osteoporotic postmenopausal women were analyzed for PI and FD. Lumbar spine and femoral neck dual-energy x-ray absorptiometry QXA) on each patient served as the reference standard examination. Pearson correlation coefficients and analysis of variance (ANOVA) were performed.Results. There was significant correlation among PI measurements (P < 0.01), and no significant correlation between FD. C/PM had significantly lower PI than control C/PM (P = 0.049).Conclusions. Osteoporotic changes in mandibular C/PM cancellous bone were detected in our study population on CCD digital panoramic images by using a robust image analysis paradigm. Future automated application of such image analysis could enable widespread, cost effective screening for osteoporosis in dental settings.
Data de publicação: 
1-Ago-2006
Citação: 
Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontics. St Louis: Mosby, Inc., v. 102, n. 2, p. 235-241, 2006.
Duração: 
235-241
Publicador: 
Mosby, Inc
Fonte: 
http://dx.doi.org/10.1016/j.tripleo.2005.08.020
Endereço permanente: 
Direitos de acesso: 
Acesso restrito
Tipo: 
outro
Fonte completa:
http://repositorio.unesp.br/handle/11449/15853
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