ANALYSIS OF THE INTRAOPERATIVE ULTRASOUND RESULTS IN THE SURGICAL TREATMENT OF RENAL TUMORS
Bibliographic record
Abstract
Purpose . To evaluate the effectiveness of intraoperative ultrasonography (IOUS) in the surgical treatment of kidney tumors. Patients and methods . Possibilities of IOUS application in the surgical treatment of kidney tumor according to the results of examination and surgical treatment of 145 patients (95 men and 50 women) diagnosed with kidney cancer were evaluated. The patients were divided into 2 groups: group 1 (comparisons) — 76 patients; during the examination and treatment, the IOUS method was not used, group 2 (basic) — 69 patients, who during the surgical treatment used the IOUS method to further clarify the localization, the size and boundaries of the tumor formation. Results . The use of IOUS helped to reduce the frequency of nephrectomy (11.9% in the comparison group and 8.7% in the main group), and reduce the frequency of intraoperative complications, which amounted to (8.7% against 13.2%). The frequency of damage to the spleen and the transition to open surgery did not differ. The use of IOUS allowed to characterize in detail the anatomical features of the tumor, its vascularization and to implement the RENAL prognosis: favorable — in 50.7% of patients, unfavorable — in 15.9%. Conclusion .When performing kidney tumor surgery, it is recommended to perform IOUS of the affected kidney in order to further clarify the boundaries of the tumor lesion to improve the effectiveness of the operation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".