Gene Expression Profiling as an Adjunctive Measure to Guide the Management of Indeterminate, High-Risk Choroidal Melanocytic Lesions: A Pilot Study
Bibliographic record
Abstract
<b><i>Purpose:</i></b> To describe our early experience with gene expression profiling (GEP) assessment for juxtafoveal, subfoveal, and peripapillary indeterminate high-risk melanocytic lesions to assist in making early treatment decisions in patients who did not feel comfortable with either close observation or definitive treatment. <b><i>Methods:</i></b> A prospective cohort of patients with indeterminate lesions who underwent GEP were enrolled. Nonparametric statistical analysis was utilized given the small sample size. <b><i>Results:</i></b> Fifteen patients were included in this series. Six (40%) were class 1A and 9 (60%) class 1B. Class 1A and 1B lesions had a median of three and four clinical risk factors, respectively (<i>p</i> = 0.27). There was no statistically significant difference for the largest basal diameter between the classes (<i>p</i> = 0.31); however, class 1B lesions were thicker than class 1A lesions (<i>p</i> = 0.03). None of the class 1A lesions showed definite growth or metastasis over a mean follow-up period of 17.1 ± 1.8 months from fine needle aspiration biopsy. All class 1B patients opted for plaque brachytherapy, and to date none of these patients have developed metastasis, with a mean follow-up of 18.7 ± 8.4 months. <b><i>Conclusion:</i></b> There may be a role for GEP assessment in high-risk, indeterminate, posteriorly located choroidal lesions to assist in treatment planning.
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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".