title: High resolution image-cytometric differentiation of hormone sensitive and hormone insensitive prostatic carcinomas.
abstract: Until the present it was not possible to predict hormone sensitivity of prostatic carcinoma. Based on studies correlating image cytometric results of hormone receptor negative and hormone receptor positive breast carcinomas, the present study aims at separating responders and non-responders to hormone therapy in metastatic prostatic carcinoma. From May-Grünwald-Giemsa stained slides of fine needle aspirates of 23 patients with metastasizing prostatic carcinoma about 100 nuclei per slide were taken by TV camera for image-cytometric processing. One thousand and twenty-two nuclei came from 10 patients who showed tumour regression for at least 36 months and who all survived for more than 5 years. One thousand three hundred and thirty-two nuclei were from prostatic aspirates of patients who showed a continuous tumour progression despite receiving hormone therapy. All patients of the latter group died within 5 years. A correct classification of the patient groups of responders and non-responders was possible in 19-21 of 23 cases by means of high resolution image analysis including nuclear structural features. It was found that even simple planimetric features, like the nuclear perimeter, or densitometric features, such as the total nuclear extinction, differed markedly between the two groups. The data show that nuclei from hormone sensitive prostatic carcinoma are distinct from those of non-sensitive ones in the present series. The interpretation of results must take into account that the very strict criteria for hormone sensitivity leads to a highly selected patient group. The application of the method to an unselected patient group can be presumed to yield a higher rate of false classifications.
authors.affiliation: Institut für Allgemeine Pathologie und Pathologische Anatomie, Technischen Universität München, Germany.
authors.forename: U
authors.initials: U
authors.lastname: Schenck
authors.forename: G
authors.initials: G
authors.lastname: Burger
authors.forename: U
authors.initials: U
authors.lastname: Jütting
authors.forename: U B
authors.initials: UB
authors.lastname: Schenck
authors.forename: A
authors.initials: A
authors.lastname: Wagner
authors.forename: J
authors.initials: J
authors.lastname: Breul
mesh_terms: D001399:Azure Stains; D001707:Biopsy, Needle; D002467:Cell Nucleus / Q000473:pathology*; D004054:Diethylstilbestrol / Q000627:therapeutic use*; D004967:Estrogens / Q000627:therapeutic use*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D009919:Orchiectomy; D011379:Prognosis; D011471:Prostatic Neoplasms / Q000145:classification / Q000188:drug therapy* / Q000473:pathology*; D012044:Regression Analysis
chemical_list: D001399:Azure Stains; D004967:Estrogens; D004054:Diethylstilbestrol