A CASE REPORT AND LITERATURE REVIEW: PRIMARY CARCINOMA OF LACRIMAL GLAND TREATED WITH ADJUVANT CHEMO- RADIATION.
Bibliographic record
Abstract
Primary Sebaceous Carcinoma of Lacrimal Gland, possibly arising from heterotopic sebaceous tissue, is extremely rare and must be differentiated from secondary invasion of the Orbit by a primary Eyelid tumor/metastatic spread from other areas of the body. It is known to be aggressive So, delay in diagnosis can increase the chance of local recurrence and metastasis. In this article we report a case of Primary Sebaceous Carcinoma of the lacrimal gland, who underwent surgery with positive margin received Adjuvant radiotherapy in our Institute. A 55-year-OldCASE REPORT: Lady presented with Left eyelid swelling. MRI ORBITS & PNS reveals malignant mass of approx. 4.3 X 3.8 cm size in superior & temporal aspect of the left Orbit arising from the left upper eyelid compressing left globe and inseparable from the left lacrimal gland with approx. 2.3X 1.5 cm sized enlarged left Pre- auricular Node. No optic nerve encasement, Orbital wall Destruction & Extension to adjacent paranasal sinuses is seen. CECT Thorax & Whole abdomen – Normal. FNAC from eyelid swelling & Pre- Auricular Node S/o Sebaceous Carcinoma with metastasis. Patient underwent left Orbital Exenteration + left supercial parotid split skin graft. HPE show the tumor mass of size 4.5 X 4X 3 cm, completely replacing tarsal plate of eyelid & tumor mass show a highly inltrative malignant tumor with morphology consistent with sebaceous carcinoma with positive margin and tissue from left parotid show inltration by the sebaceous carcinoma (Possibly metastasis to the Intra-parotid node with extra nodal extension). Patient received Adjuvant/post op Chemoradiation 60 Gy/30#/ 6weeks/Rapid Arc technique with weekly 6 cycles chemotherapy Inj. Cisplatin. Patient requires close monitoring for any sign of recurrence / Distant metastasis. A Rare case report of sebaceousCONCLUSION: carcinoma of the Lacrimal Gland which requires appropriate evaluation & management for better prognosis.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".