Literature DB >> 18708740

Relationship between mandibular cortical bone height and bone mineral density of lumbar spine.

Estera Miliuniene1, Vidmantas Alekna, Vytaute Peciuliene, Marija Tamulaitiene, Rasmute Maneliene.   

Abstract

UNLABELLED: The aim of this study was to evaluate the association between lumbar spine bone mineral density and mandible cortical bone height at the mental foramen and at the angle of the jaw. PATIENTS AND METHODS: A total of 130 women living in Lithuania, were examined. None of the participants were known to have endocrine, metabolic or skeletal disorders. Bone mineral density (BMD) was measured in the spine lumbar area L2-L4. The mandibles were examined on panoramic x-ray images. On each radiograph cortical thickness of mandible was measured at the mental foramen and at the angle of the jaw. The results demonstrated a tendency of high probability of osteoporosis in cases were radiomorphometric parameters are low. There was a significant difference between bone mineral density of lumbar spine and cortical bone height of mandible below the foramen mentale and at the angle of the jaw (p<0.01).

Entities:  

Mesh:

Year:  2008        PMID: 18708740

Source DB:  PubMed          Journal:  Stomatologija        ISSN: 1392-8589


  13 in total

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7.  Automatic measurement of mandibular cortical bone width on cone-beam computed tomography images.

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8.  Measurements of volumetric bone mineral density in the mandible do not predict spinal osteoporosis.

Authors:  Zhe Guo; Xia Du; Ling Wang; Kai Li; Jun Jiao; Giuseppe Guglielmi; Khrystyna Zhurakivska; Lorenzo Lo Muzio; Glen M Blake; Xiaoguang Cheng
Journal:  Dentomaxillofac Radiol       Date:  2019-11-19       Impact factor: 2.419

9.  Osteoporosis detection in panoramic radiographs using a deep convolutional neural network-based computer-assisted diagnosis system: a preliminary study.

Authors:  Jae-Seo Lee; Shyam Adhikari; Liu Liu; Ho-Gul Jeong; Hyongsuk Kim; Suk-Ja Yoon
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10.  Assessment of alveolar bone mineral density as a predictor of lumbar fracture probability.

Authors:  Yoshitomo Takaishi; Seizaburo Arita; Mitsugi Honda; Takeshi Sugishita; Aiko Kamada; Takashi Ikeo; Takami Miki; Takuo Fujita
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