title: [Cytomorphological criteria of atypical hyperplasia and cancer of the endometrium based on data from a multivariate statistical analysis].
abstract: Multifactorial statistical analysis was used to identify differential diagnostic cytological features of glandular hyperplasia, atypical hyperplasia and well-differentiated adenocarcinoma of the endometrium. Twelve cytological features were identified for calculating linear discriminant function. The effectiveness of the diagnostic algorithm depends upon the diagnostic value of the sample and proficiency of the cytologist.
authors.forename: K A
authors.initials: KA
authors.lastname: Agamova
authors.forename: V V
authors.initials: VV
authors.lastname: Starinskiĭ
authors.forename: Z D
authors.initials: ZD
authors.lastname: Gladunova
authors.forename: N A
authors.initials: NA
authors.lastname: Sidorova
authors.forename: E A
authors.initials: EA
authors.lastname: Nevskaia
authors.forename: T A
authors.initials: TA
authors.lastname: Belous
authors.forename: N V
authors.initials: NV
authors.lastname: Sokolova
authors.forename: K E
authors.initials: KE
authors.lastname: Gorbenko
authors.forename: Iu G
authors.initials: IuG
authors.lastname: Puchkov
authors.forename: V I
authors.initials: VI
authors.lastname: Novik
mesh_terms: D000230:Adenocarcinoma / Q000175:diagnosis* / Q000453:epidemiology / Q000473:pathology; D000465:Algorithms; D003581:Cytodiagnosis; D003936:Diagnosis, Computer-Assisted; D003937:Diagnosis, Differential; D016002:Discriminant Analysis; D004714:Endometrial Hyperplasia / Q000175:diagnosis* / Q000453:epidemiology / Q000473:pathology; D005260:Female; D006801:Humans; D015999:Multivariate Analysis; D014594:Uterine Neoplasms / Q000175:diagnosis* / Q000453:epidemiology / Q000473:pathology