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Knowledge-guided histometry of the basal cell layer in prostatic intraepithelial neoplasia
D Thompson1, P H Bartels, H G Bartels
1Optical Sciences Center, University of Arizona, Tucson, USA.
Objective:
To define a procedure for the fully automated evaluation of histopathologic sections of prostatic intraepithelial neoplasia.
Study Design:
The design is based on expert system-guided scene segmentation, the construction of a knowledge file and the defining of histometric measures for assessment of the basal cell layer.
Results:
A knowledge file specifying a total of 263 entities was constructed. Of 73 multimegapixel-sized images of cribriform glands, 71 were correctly and completely processed. A histometric measure allowing precise indexing of the degree of lesion progression, based on the deterioration of the basal cell layer, was derived.
Conclusion:
The combination of image analytic and immunohistochemical procedures and fully automated processing provides a quantitative measure for evaluating prostatic intraepithelial neoplasia lesion progression and the effects of intervention.