[Osteoporosis detection using cone-beam computed tomography]. / Osteoporoseerkennung mittels digitaler Volumentomographie.
Orthopade
; 45(12): 1066-1071, 2016 Dec.
Article
en De
| MEDLINE
| ID: mdl-27681530
BACKGROUND: Osteoporosis is still underdiagnosed in Germany. OBJECTIVES: Is it possible to detect osteoporosis on the basis of a cone-beam computed tomography image of the mandible and several measuring methods? MATERIALS AND METHODS: Sixteen cone-beam computed tomography (CBCT) images from patients of the dental clinic at the University of Ulm were reinvestigated. When the CBCT images were processed the subjects were at least 55 years old, and the mandible was completely mapped on the image. Furthermore, a dual-energy Xray absorptiometry scan or a CT bone mineral density test was required for every subject. The subjects were divided into an osteoporosis group and a control group. The computed tomography mental index (CTMI), the computed tomography mandibular index superior (CTI[S]) and the computed tomography mandibular index inferior (CTI[I]) were deployed for comparison of the groups. In the first instance a comparison of the osteoporosis and control groups was made for both male and female subjects. Subsequently, only the images of the female subjects were compared to each other. RESULTS: A possibility for osteoporosis can be expressed at CTMI values located < 3.0 mm. As well for CTI(S) < 0.18 and CTI(I) < 0.23. There arises a 66.7 % sensitivity and 70 % specificity for the mixed subject group and an 80 % sensitivity and 57.1 % specificity for the female subject group for CTMI and CTI(S). Furthermore, there are 50.0 % sensitivity and 70 % specificity for the mixed subject group and 60.0 % sensitivity and 57.1 % specificity for the female subject group for the CTI(I). CONCLUSION: CTMI, CTI(S) and CTI(I) are only suitable for osteoporosis detection to a limited extent.
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Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Osteoporosis
/
Radiografía Dental
/
Interpretación de Imagen Radiográfica Asistida por Computador
/
Enfermedades Mandibulares
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Imagenología Tridimensional
Tipo de estudio:
Diagnostic_studies
Límite:
Aged
/
Aged80
/
Female
/
Humans
/
Male
/
Middle aged
Idioma:
De
Revista:
Orthopade
Año:
2016
Tipo del documento:
Article
Pais de publicación:
Alemania