Supplementary Material for: Primary Vitreoretinal Lymphomas: A Diagnostic Challenge. Report of two recent cases with retinal biopsies and molecular investigations in Halifax, Nova Scotia.
Bibliographic record
Abstract
Introduction Primary vitreoretinal lymphomas (PVRL) are a type of central nervous system lymphoma that arise in the retina, vitreous, or optic nerve without initial brain involvement. The clinical diagnosis can be a challenge since the disease mimics uveoretinitis in its presentation and initial treatment response to steroids. Diagnostic confirmation with vitreous cytology has been the gold standard for diagnosis. However, there are limitations of vitreous cytology such as low volume of sample, low number of lymphoma cells within the sample, and poor preservation of cells due to shearing forces of vitrectomy. There has been a long-standing need for alternative options to improve the diagnostic yield of PVRLs. Recently, MYD88 gene mutations (myeloid differentiation response gene 88) have been found in 69-82.4% of PVRLs. Case Presentations Case 1: 89-year-old male with a retinal detachment post cataract surgery. He had subsequent surgical repair but continued to have poor and worsening vision and developed constitutional symptoms including weight loss and decreased appetite. A vitreous sample submitted for molecular studies, demonstrated MYD88 L265P mutation and a retinal biopsy showed large B lymphocytes infiltrating the retina. Case 2: 62-year-old female referred to the Uveitis Clinic for assessment of chronic right eye panuveitis and left eye anterior uveitis. The patient developed symptoms (blurry vision and photophobia) 9 months prior to the referral. A vitreous biopsy was conducted and was negative for MYD88 mutations and large B cells were not seen on vitreous cytology. The fundus view post-vitrectomy revealed an area of necrotizing retinitis. The patient was started on empiric treatment for herpetic and parasitic etiologies and on high dose oral prednisone shortly after. She had a further decline in her right eye vision with significant extension of the necrotizing retinitis into the macula and optic disc. A retinal biopsy then revealed atypical large B-cells infiltrating the retina. Conclusion PVRLs are rare and establishing the diagnosis is difficult. The traditional use of vitreous cytology has its limitations. Recent molecular advances, in particular the detection of MYD88 mutation is extremely helpful to confirm the diagnosis, but in certain cases retinal biopsies may still be required.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.197 | 0.020 |
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".