Peritumoral Lymphangiogenesis in Breast Carcinoma
Bibliographic record
Abstract
Objective: to assess the correlation between microscopically discernible peritumoral lymphangiogenesis and breast carcinoma survival rates; to reveal the regularities of macroscopic changes in the structure of axillary lymphatic system in breast cancer. Materials and Methods: We carried out morphometric examination of axillary tissue complexes that had been taken from 100 women during surgery for breast carcinoma, stage T1-3N1-2M0 and had been treated with sonolipodistruction. The density of realized lymphatic vessels was determined by counting the number of lymphangiogenesis "points". An anastomosis between individual lymphatic vessels was taken as a "point". Correlation of macroscopically distinguishable peritumoral lymphangiogenesis expression and survival rate was determined using Pearson's parametric analysis. Results: The analysis of lymphatic maps allowed us to reveal some patterns of axillary lymphatic collector reorganization in breast carcinoma and to distinguish the following types: "Sequential", "Magistral", "Uniform", "Radial" and "Reticulate". Based on the results of prospective observation, 16 patients from the observation group died within the period of 5 years. According to the Pearson correlation analysis, the correlation coefficient was 0,87, the determination coefficient was 0,7488, the value of p = 0,000015, which indicates that in the breast carcinoma, stage T1-3 N1-2 M0 there is a statistically significant direct correlation between the number of "points" of macroscopically distinguishable peritumoral lymphangiogenesis and lifespan after a radical surgical treatment. Lymphatic vessels in the process of peritumoral lymphangiogenesis are the indicator of compensatory-protective resources condition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".