Neoadjuvant Chemotherapy in Non-Metastatic Eyelid Sebaceous Gland Carcinoma: A Report in 10 Cases
Bibliographic record
Abstract
Introduction: Eyelid sebaceous gland carcinoma (SGC) is an aggressive malignancy. Surgical excision is the standard treatment for non-metastatic eyelid SGC. This study aimed to evaluate treatment outcomes with use of neoadjuvant chemotherapy (NACT) and any change in ease/difficulty of surgical treatment in such cases. Methods: This was a prospective interventional study conducted over 24-month period. Histopathologically, confirmed cases without any systemic metastasis were included. Clinico-demographic details were collected for 30 patients. 10 patients received NACT using cisplatin and 5-FU. Tumour response was evaluated using RECIST criteria. An ease of surgery questionnaire was used to assess difficulty of surgical treatment before and after NACT. Results: Of the 30 patients evaluated for recruitment, 37% had recurrent SGC and 72% had advanced tumour stage. Ten patients were recruited for NACT. There was partial response in 80% and complete response in 10% cases. Tumour T category downstaging was seen in 50% of cases. While tumour dimensions/volume reduced substantially, surgical ease improved in only 40% cases. Conclusion: A significant proportion of SGC patients evaluated in our study presented with recurrent and/or advanced disease. NACT caused tumour regression in 90% of cases. However, surgical ease improvement was limited, pointing to a need for surgical modification in such cases. Corneal ulceration was noted in 2 cases with large tumours causing a complete mechanical ptosis. Overall, the study introduced an ease of surgery questionnaire and provided insights into benefits and challenges of using NACT for eyelid SGC management.
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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) | 0.001 | 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".