title: Algorithm for a DNA-cytophotometric diagnosis and grading of malignancy.
abstract: An algorithm for processing data on nuclear DNA content obtained cytophotometrically was developed (1) to obtain an objective discrimination between benign and malignant lesions in conventional cytologic smears secondarily stained according to Feulgen and (2) to obtain an objective degree of tumor malignancy on a continuous scale of malignancy grades. Investigations in 258 malignant tumors (95 malignant lymphomas, 52 uterine cervix carcinomas, 28 prostate carcinomas, 18 breast carcinomas, 45 malignant bone tumors and 19 larynx carcinomas) and in 74 benign lesions in these organs yielded a diagnostic accuracy of no false-positive, no false-negative and 21% suspicious diagnoses. The probability that "suspicious" cases were malignant was 81%. The overall diagnostic accuracy for non-negative cases thus amounted to 100%. Results in 95 patients with different malignant lymphomas and in 16 patients with squamous-cell carcinoma of the larynx demonstrated the prognostic validity of the DNA-grading system.
mesh_terms: D002467:Cell Nucleus / Q000032:analysis; D004247:DNA / Q000032:analysis*; D005434:Flow Cytometry / Q000379:methods*; D006801:Humans; D008433:Mathematics; D009369:Neoplasms / Q000032:analysis / Q000175:diagnosis* / Q000503:physiopathology; D012984:Software
chemical_list: D004247:DNA