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Remarks on the Diagnosis of Osteoporosis Employing Iliac Crest Biopsies. Quantitative-morphometric Studies with the Aid of an Automatic Image Analysis System

  • F. Henschke
  • H.-J. Pesch
Conference paper

Abstract

Advances in the specific treatment of generalized osteopathies have made necessary an accurate and early differential diagnosis of common systemic diseases of the skeleton, for example osteoporosis, osteomalacia, primary and secondary hyperparathyroidism. To date, for the diagnosis of generalized osteopathies numerous non-invasive procedures such as X-ray densitometry, photon absorption measurement, neutron activation analysis, and quantitative computed tomography have been employed, none of which has become established as the quantitative measuring procedure of choice. Thus, the clinical diagnosis of a systemic osteopathy usually comprises a “mosaic” of clinical, radiological, biochemical and histo-morphological findings. An unequivocal differentiation of earlier forms of osteoporosis and other osteopenic diseases, however, is often possible only on the basis of a quantitative morphometric analysis of cancellous bone in iliac crest biopsy material. However, these examinations are very time-consuming and, to date, have been largely carried out “manually” with the aid of an integrating eyepiece (Wagner 1956, Schenk and Merz 1969, Krempien et al. 1972, Delling 1972 and 1974). With the help of automatic image analysis quantitative studies can be carried out considerably faster and with greater accuracy (Meunier et al. 1973). The use of automatic radiological analyses of cancellous bone employing contact radiographs has also been reported (Zeus and Pesch 1974, Pesch et al. 1975, Pesch et al. 1977).

Keywords

Cancellous Bone Volumetric Density Iliac Crest Biopsy Osteoid Surface Quantitative Morphometry 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • F. Henschke
  • H.-J. Pesch

There are no affiliations available

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