Publications by authors named "P V Glybochko"
Aim: To evaluate the automated medical decision support system "Sechenov.AI_nephro" in the treatment of patients with renal parenchymal tumors.
Materials And Methods: The beta version of the web-platform "Sechenov.
Introduction: Today it is urgent to introduce into clinical practice more advanced methods of kidney stone treatment with high indicators of their effectiveness and safety while minimizing the risk of repeated interventions. The goal of effective treatment of kidney stones is to completely rid the patient of stones and complaints, to eliminate organ dysfunction, using minimally invasive treatment methods that reduce the patients hospital stay and the risk of complications. However, there are only few studies comparing the clinical efficacy and safety of modern methods of surgical treatment of kidney stones 2 to 3 cm in size.
View Article and Find Full Text PDFArticle Synopsis
- The study aims to evaluate if machine learning can effectively predict early outcomes of laparoscopic nephron-sparing surgery (NSS) for kidney tumors, taking the surgeons' experience into account.
- Analyzing data from 320 surgery cases by four surgeons, the research utilizes eXtreme Gradient Boosting and the SHAP method to identify key factors influencing surgical success, including patient demographics, tumor characteristics, and the surgical learning curve.
- Results show that the SHAP method offers valuable insights from the machine learning model, highlighting the importance of certain new features in predicting surgical outcomes such as procedure duration and postoperative kidney function.
Tissue engineering has emerged as a promising avenue for reconstructive urology, though only a limited number of tissue-engineered urethral constructs have advanced to clinical testing. Presently, there exists a dearth of agreement regarding the most promising constructs deserving of implementation in clinical practice. The objective of this review was to provide a comprehensive analysis of preclinical trials findings of a tissue-engineered urethra and to identify the most promising constructs for future translation into clinical practice.
View Article and Find Full Text PDFAim: To evaluate the possibilities of textural analysis of 3D models in differentiating the degree of nuclear dysplasia of the clear cell renal cell carcinoma (ccRCC).
Materials And Methods: The specimens after surgical treatment of 190 patients with ccRCC were analyzed. In all cases, nephron-sparing surgery (NSS) was performed through laparoscopic access.