124: Assessing Predictors of Locoregional Failure Following Surgical Resection of Non-Metastatic Salivary Gland Carcinoma and The Role of Postoperative Radiotherapy
Bibliographic record
Abstract
Purpose: Pleomorphic adenomas have a propensity for local recurrence after surgical management.The role for adjuvant radiotherapy (RT) in the treatment of recurrent pleomorphic adenoma (RPA) remains controversial.The aim of this study is to evaluate the recurrence rates and complication rates in patients with RPA treated with surgery alone or surgery plus adjuvant RT. Materials and Methods:We conducted a retrospective analysis of 39 cases of RPA.For 22 cases treated with surgery alone and 17 cases treated with surgery plus adjuvant RT, we examined the clinical features, prevalence of surgical and RT complications as well as relapse rates.Results: RPA was a first recurrence for 27 cases, second for nine cases, third for two cases and fourth for one case.The location of RPA was at the parotid gland for 33 cases (85%) and at the submandibular gland for six cases (15%).The RPA was multinodular in 31 cases (79%).Median follow-up was 9.8 years, with a median follow-up of 13.3 years for the surgery only cases and six years for the surgery plus RT cases.There were 15 recurrences in the surgery alone group (68%) and one recurrence in the surgery plus RT group (6%).This post-RT recurrence is being managed by observation.Toxicity was limited to permanent paralysis of a marginal branch of nerve VII seen in two patients from the surgery group and one patient from the adjuvant RT group.No major toxicity of RT was observed. Conclusions:The high rate of surgical relapse could be related to the complexity of cases referred to a tertiary centre, with some of them having a second or third relapse before intervention.Nonetheless, an important decrease in RPA recurrence was observed in patients receiving adjuvant RT.Our study therefore suggests that adjuvant RT provides better local control in RPA without any significant increase in complication rates.Retrospective analysis of a larger multi-institutional cohort is underway to validate our conclusions.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".