title: Investigation of automated DNA diagnosis and grading of prostatic cancer.
abstract: As a preliminary step towards a DNA-related automatic diagnosis and grading, the fine needle aspiration biopsies of 85 patients with prostatic cancer and of 20 patients with benign prostatic hypertrophy were subjected to DNA single-cell fluorescence cytometry. The DNA histograms were analyzed statistically by univariate data description, stepwise linear discriminant analysis and multiple regression analysis. The accuracy of the DNA-based malignancy diagnosis was 85.1%, with 10.6% false-negative and 4.3% false-positive results. The accuracy of the prognosis-related malignancy grading was, however, only 39.5% and thus unsatisfactory. The results indicate that a DNA-related diagnosis of prostatic malignancy is possible but that a similar automatic grading of prostatic cancer is not yet possible.
mesh_terms: D001707:Biopsy, Needle; D004273:DNA, Neoplasm / Q000032:analysis*; D001330:Electronic Data Processing; D005434:Flow Cytometry / Q000379:methods; D006801:Humans; D008297:Male; D008838:Microcomputers; D011470:Prostatic Hyperplasia / Q000378:metabolism / Q000473:pathology; D011471:Prostatic Neoplasms / Q000032:analysis / Q000145:classification / Q000473:pathology*; D012044:Regression Analysis
chemical_list: D004273:DNA, Neoplasm