Clinical effect of trans-areolar resection and minimally invasive mammotome biopsy in the treatment of breast fibroadenoma and its impact on the quality of life of patients.
Bibliographic record
Abstract
OBJECTIVE: To explore the effects of trans-areolar resection and minimally invasive mammotome biopsy on therapeutic effect. METHODS: A total of 131 patients with breast fibroadenoma were selected as the research subjects. Among them, 58 patients were treated by trans-areolar resection and included in group A (GA), and 73 patients were treated by minimally invasive mammotome biopsy and included in group B (GB). The changes of blood pressure, intraoperative blood loss and incision length in patients were detected before anesthesia, during resection and after operation. The pain score and operation time of patients were analyzed. The incidence of postoperative complications and the therapeutic effect were compared in the two groups. The Vancouver Scar Scale (VSS) was used to assess scar condition of patients in the two groups, and the lower the score, the more normal the skin. After operation, the satisfaction with breast appearance was assessed, and the quality of life was compared between the two groups. RESULTS: During resection, DBP and SBP indexes of blood pressure in GA were lower than GB . The intraoperative blood loss in GA was greater than GB, and the incision length was also greater than GB. The VAS pain score in GA was higher than GB (P<0.05), and operation time was also longer than GB. The incidence of complications in GB was significantly lower than GA. The total effective rate in GB was significantly higher than GA. The scar score in GA was significantly higher than GB. The satisfaction in GB was significantly higher than GA, and the quality of life in GB was higher than GA. All P<0.05. CONCLUSION: Compared with trans-areolar resection, minimally invasive mammotome biopsy has a better therapeutic effect on patients with breast fibroadenoma, and it can improve their quality of life more significantly.
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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 | 0.001 |
| 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".