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[Original research] [Oncology]
Magomed Abduragimovich Gusniev; Valentina Viktorovna Pechnikova; Yuryevich Gushchin Mikhail; Sadyk Abduragimovich Gusniev; Zarina Vladislavovna Gioeva; Akhmedkhan Mukhamedovich Pshikhachev ,; Lyudmila Mikhailovna Mikhaleva;
An accurate prediction of bladder cancers outcomes with the assessment of recurrence and progression risks is critical for the choice of treatment. The current prediction models are not perfect. In our retrospective study, which included 100 patients after transurethral resection and chemotherapy for non-muscle invasive urothelial carcinoma, we performed a comparative statistical analysis in groups to study the effect of tumor parameters on the risk of disease recurrence, with the construction of models that assess the prognostic ability of the studied factors. We identified the risk factors, including the tumor size and tumors location, the multifocality and histological type of the tumor (influence of the patient’s age and gender was excluded). Predictive models have shown their high efficiency by ROC curve analysis. The data obtained in the study can serve as a basis for creating new prognostic models and improving the risk assessment system for selecting the optimal management scheme for patients with bladder cancer.
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Keywords: non-muscle invasive bladder cancer, bladder cancer, oncology, pathology, recurrence of bladder cancer, progression of the disease