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 |
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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 |
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