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.
Knowledge-guided histometry of the basal cell layer in prostatic intraepithelial neoplasia / Thompson, D.; Bartels, P. H.; Bartels, H. G.; Montironi, Rodolfo. - In: ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY. - ISSN 0884-6812. - 18(2):(1996), pp. 177-184.
Knowledge-guided histometry of the basal cell layer in prostatic intraepithelial neoplasia
MONTIRONI, RODOLFO
1996-01-01
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
