Abstract

Histopathology is crucial for diagnostic and therapeutic decisions in many disease states. The created classifications, however, have not always allowed explicit recognition of diagnostic categories. So, considerable intra- and interobserver variations are possible under diagnostic circumstances. Better reproducibility can be reached by applying other than traditional methods. These include morphometry as well as special stains, electron microscopy and immunohistochemistry. Morphometry is basic in that in detects structural and morphological aberrations in samples prepared by other methods and without doubt brings the element of accuracy to support the diagnostic decision. Morphometric approach includes item classification and grading, point counting and intersection counting methods, and the use of various semiautomatic or automatic instruments. In statistical morphometry morphometrical parameters are collected from several disease cases. Such data reinforced with prognostic follow-ups are the basis for disease classification. Diagnostic morphometry, on the other hand, tries to study the sample of one individual and give relevant data for diagnostic decisions. Morphometric methods allow estimation of the limits of possible performance in histopathology, estimation of human performance in the diagnostic process and estimation of the influence of interfering human factors. Diagnostic decisions as well as decisions linked with therapy are basically probabilistic. Also the data collected by diagnostic morphometry should be linked with probabilistic estimates of the prognostic relevance of the findings. Education of histopathology should be developed to meet these demands, both at elementary medical level and at postgraduate medical level. Education of morphometry can be incorporated into the medical curricula as shown by the experience at the University of Kuopio where aspects of morphometry are taught during histopathology course and special postgraduate courses have been arranged.

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