[Texture analysis of 3D models for the prediction of the grade of clear cell renal cell carcinoma of the kidney (pilot study)].

AIM: 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. The clinical characteristics were evaluated, including age, gender, tumor localization (side, surface and segments), absolute tumor volume, Charlson comorbidity index, body mass index, nephrometry scores (RENAL, PADOVA, C-index). Patients were divided into 2 groups. In group 1, there were 119 patients with the ccRCC of Grade 1 or 2, while group 2 consisted of 71 patients with ccRCC of Grade 3 and 4. All patients underwent 3D virtual planning of procedure using the 3D modeling program "Amira". At the first stage, two experienced radiologists performed manual segmentation of 3D models of kidney parenchyma tumors. At the second stage, the tumor shape was analyzed with a mathematical calculation of three indicators and more than 300 textural features of statistics of types 1-2 were extracted. Further, an intellectual analysis was carried out. For the evaluation of tumor grade according to Furman system, the classification problem was solved using the machine learning algorithm Stochastic Gradient Descent and cross-validation k=5. RESULTS: The accuracy of classification for the two groups of Grade 1 or 2 and Grade 3 or 4 on the F1 metric was 72.2. To build the model, the following parameters were selected: the absolute tumor volume, the Charlson comorbidity index, "Energy", the first quartile and the second decile of the pixel intensity distribution. CONCLUSION: The texture analysis of 3D models for the prediction of Fuhrman grade in ccRCC demonstrated satisfactory quality for two groups of Grade 1 or 2 and Grade 3 or 4 nuclear dysplasia.

[Bacteriophages in complex treatment of septic diseases of the hand]. / Ispol'zovanie lekarstvennykh preparatov bakteriofagov v kompleksnom lechenii gnoinykh zabolevanii kisti.

OBJECTIVE: To evaluate the effectiveness of bacteriophages in complex surgical treatment of septic diseases of the hand. MATERIAL AND METHODS: We analyzed treatment outcomes in 111 patients with septic diseases of the hand (septic arthritis, tendovaginitis, phlegmon). Surgical treatment was finished by primary sutures and drainage. They were divided into two groups. Bacteriophages were used in the main group. Other components of treatment were identical. «Pyobacteriophage complex¼ was injected into drainage tubes during dressings. Effectiveness of treatment was evaluated considering elimination of septic process, bacterial flora and healing of surgical wound. In addition, we performed in vitro testing of microorganisms for sensitivity to Pyobacteriophage. RESULTS: Staphylococcus and Streptococcus genus prevailed in hand infections. Pasteurella multocida has been isolated after pet bites. Growth of microflora in drainage tubes was observed in 16.7% and 21.1% of cases, respectively (p=0.02). Wound healing via primary intention was found in 83.6% and 71.4%, respectively (p=0.03). When testing in vitro, we observed lysis of cultures of Staphylococcus aureus in 83.6% of cases, Streptococcus pyogenes - in 33.3% of cases. CONCLUSION: «Pyobacteriophage complex¼ was effective for septic diseases of the hand. However, its partial lytic activity against the most common pathogens makes it advisable to combine phages and antibiotic therapy. Systematic renewal of phages is important due to widespread resistance of bacteria.