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Updated: Mar 19, 2026

Systematic Assessment of Mammalian Skull Specimens for Dental and Temporomandibular Joint Pathology
Published on: August 22, 2022
[Diagnostics in osteology]
F Jakob1, F Genest2, L Seefried2
1Experimentelle und Klinische Osteologie, Lehrstuhl Orthopädie und Orthopädische Klinik König-Ludwig-Haus, Brettreichstr. 11, 97074, Würzburg, Deutschland. f-jakob.klh@uni-wuerzburg.de.
Abstract:
Clinical diagnostics in metabolic bone diseases cover a broad spectrum of conventional and state of the art methods ranging from the medical history and clinical examination to molecular imaging. Patient treatment is carried out in an interdisciplinary team due to the multiple interactions of bone with other organ systems. Diagnosis of osteoporosis is supported by high level national guidelines. A paradigm shift concerning the clinical relevance of bone mineral density measurement renders this now to be a strong risk factor rather than a diagnostic parameter, while strengthening the value of other clinical factors for risk assessment. The impact of parameters for muscle mass, structure and function is steadily increasing in all age groups. In order to identify underlying diseases that influence bone metabolism a panel of general laboratory diagnostic parameters is recommended. Markers for bone formation and resorption and specific parameters for the regulation of calcium and phosphate metabolism should be evaluated by specialists because they require diligence in preanalytics and experience in interpretation. Genetic diagnosis is well established for rare bone diseases while diagnostic panels are not yet available for routine diagnostics in polygenetic diseases such as osteoporosis. Conventional radiology is still very important to identify, e. g. fractures, osteolytic and osteoblastic lesions and extraosseous calcifications; however tomography-based methods which combine, e. g. scintigraphy or positron emission technologies with anatomical imaging are of increasing significance. Clinical diagnostics in osteology require profound knowledge and are subject to a dynamic evolution.
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