Cataract Obscuring a Large Primary Choroidal Melanoma and Associated Exudative Retinal Detachment in the Left Eye: A Case Report
Bibliographic record
Abstract
Choroidal melanoma is the most common primary malignant intraocular tumor that rarely is left undiagnosed. We report a case of a lately detected choroidal melanoma associated with exudative retinal detachment and severe visual loss in the affected eye. The patient was referred to our clinic with visual acuity in the right eye 6/6 while in the left eye was limited to light perception. Ophthalmic examination showed a large pigmented choroidal tumoral mass occupying most of the vitreous cavity and associated exudative retinal detachment. Ultrasonography confirmed a dome-shaped tumor with internal homogeneity, while anterior choroid, ciliary body and angle were found with no invasion. The fellow eye was examined thoroughly and no lesions were detected. Further clinical investigation for metastasis was negative. Negligence of the symptoms, gradual evolution of the tumor and late referral resulted in irreversible loss of vision. The patient had no other systemic pathology and was advised for enucleation in the left eye and follow-up. Choroidal melanoma is a serious malignancy that could threaten the patient’s life and requires early detection and treatment. In large lesions enucleation is the treatment of choice. J Med Cases. 2015;6(1):10-13 doi: http://dx.doi.org/10.14740/jmc2004w
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".