[Evaluation of the possibility of diagnosing purulent-septic rhinogenic complications of the orbit and eyelids in children based on the analysis of clinical and laboratory data]. / Otsenka vozmozhnosti diagnostiki gnoino-septicheskikh rinogennykh oslozhnenii orbity i vek u detei na osnove analiza kliniko-laboratornykh dannykh.

OBJECTIVE: To study the features of clinical and laboratory parameters of rhinogenic complications of the orbit (RCO) and eyelids depending on the blood leukocyte shift index (LSI) to create a predictive model in pediatric patients. MATERIAL AND METHODS: The study included 50 patients who were treated at the Regional Clinical Hospital No. 2 of Tyumen with inflammatory pathology of the paranasal sinuses. Group I with RCO - reactive edema of the eyelids and orbital tissue included 29 (58.0%) patients (of which 16 (32.0%) were boys, 13 (26.0%) were girls). In group 2 with ROC, purulent-septic complications of the eyelids and orbit included 21 (42.0%) patients (of which 10 (20.0%) were boys, 11 (22.0%) were girls). RESULTS: LSI values in the general age group (n=50) from 1 to 17 years old were: 1.61 [1.40; 1.82] in patients of group 1; 3.45 [2.96; 3.94] in patients of group 2 (p≤0.05). With an index of LSI from 1.36 to 1.96, the development of reactive edema of the eyelids and orbital tissue is predicted, from 3.14 to 4.72 - the development of purulent-septic complications of the eyelids and orbit in patients of preschool and primary school age. CONCLUSION: The marker of clinical and laboratory parameters of the severity of the disease is the LSI indicator, taking into account the age of the child, which can be used in the early diagnosis of purulent-septic rhinogenic complications of the orbit and eyelids in children.

[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.