Diagnosis of Invasive Vesical Cancer by Laboratory Data Using Statistical Decision Rules

Autor: L. A. Derzhavets, V. I. Prokhorova, A. A. Mashevsky, O. G. Sukonko, T. P. Tsyrus, S. V. Lappo, S. V. Frantova
Jazyk: ruština
Rok vydání: 2020
Předmět:
Zdroj: Onkourologiâ, Vol 2, Iss 1, Pp 26-29 (2020)
ISSN: 1996-1812
1726-9776
Popis: Based on studies of a wide spectrum of physicochemical parameters of the blood in 160 patients with vesical cancer, the authors created complexes of informative tests and formulated the decision rules fit for evaluating the degree of tumor invasion before therapy. The diagnostic efficiency of this approach amounts to 87.5—89%.
Databáze: OpenAIRE