title: [Multifactor analysis of nodular goiter by the method of artificial neural network].
abstract: Study of 297 patients with preparative methods of nontoxic nodular goiter and cytological diagnose "adenomatosis" with the use of artificial neural network (ANN) were analyzed. Malignant pathology could be supposed with 95.5% accuracy when we applied experience of trained ANN. Clinical, instrumental and cytologic criteria, which make possible to prognosticate degree of malignant process in thyroid gland parenchyma, were determined. Painless elastic nodules with sonographically iso- o hyperechogenic structure, with clear outline and cytologically determined adenomatosis in combination with colloid can be interpreted as benign lesion of thyroid gland.
authors.forename: S V
authors.initials: SV
authors.lastname: Ivanov
authors.forename: S N
authors.initials: SN
authors.lastname: Zhabin
authors.forename: O S
authors.initials: OS
authors.lastname: Gorbacheva
authors.forename: V S
authors.initials: VS
authors.lastname: Barsukov
authors.forename: E Iu
authors.initials: EIu
authors.lastname: Denisova
mesh_terms: D001707:Biopsy, Needle; D003937:Diagnosis, Differential; D005500:Follow-Up Studies; D006044:Goiter, Nodular / Q000175:diagnosis* / Q000601:surgery; D006801:Humans; D016571:Neural Networks, Computer; D011237:Predictive Value of Tests; D011379:Prognosis; D015203:Reproducibility of Results; D012189:Retrospective Studies