ELECTROCHEMOTHERAPY IN THE TREATMENT OF HEMANGIOSARCOMA IN DOGS (CLINICAL CASE)
Bibliographic record
Abstract
The article describes a clinical case of hemangiosarcoma treatment in a 7-year-old Labrador dog, local tumor control using intrave-nous bleomycin and subsequent tumor removal, as well as combined administration of calcium gluconate directly into the area of the tumor node. Hemangiosarcoma is a malignant tumor that is quite common in dogs in middle and older age. Labradors, German Shepherds, and Retrievers are the most susceptible to this disease. The causes of the identified cancer are not yet known, but it is safe to say that the main organs that are affected more often in an animal are the spleen, right atrium, skin and subcutaneous tis-sue, omentum, mesentery, liver. In 25% of dogs with a spleen tumor, the heart is affected. Tumors affecting only the epithelium of the skin are conditionally malignant. Less often – lungs, kidneys, mouth, muscles, bones, bladder, left ventricle, adrenal glands, brain, diaphragm, peritoneum, lymph nodes, tongue and fingers. Hemangiosarcoma is a highly aggressive tumor that metastasizes hematogenously or implantationally. Dogs without treatment live up to 3 months, with treatment – up to 6 months, 10% of patients survive a year. Along with the treatment of hemangiosarcoma, the diagnostic process is described, since the main problem is to differentiate hematoma - hemangioma – hemangiosarcoma. The difficulty lies in the fact that cytological examination is uninforma-tive due to dilution of the sample with blood, and fine needle aspiration biopsy often gives false negative results, since there are extensive areas of hematomas and normal blood vessels inside the tumor. As a result of the research, the authors reduced the vol-ume of tumor masses by 70% due to the use of electrochemotherapy procedure "Bleomecin" and eletroporation with calcium glu-canate.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".