Melanin migration in retinitis pigmentosa evaluated by ultra-wide-field polarization diversity optical coherence tomography
Bibliographic record
Abstract
Our research investigates retinal pigmentary abnormalities in Retinitis Pigmentosa (RP) patients using ultra-wide-field high-speed Polarization Diversity Optical Coherence Tomography (PD-OCT) in a clinical setting. To account for the retinal curvature in the wide field of view, adaptive kernel-based spatial averaging is employed for Degree-of-Polarization-Uniformity (DOPU) contrast formation with two complex OCT signals from two orthogonal polarization channels. 20 patients diagnosed with RP were recruited for this study and imaged with PD-OCT. Then, the melanin distribution images from PD-OCT were compared to standard multimodal imaging techniques, including intensity-based OCT, fundus photography, and short-wavelength fundus autofluorescence images. Wide-field PD-OCT imaging technique presented in this study was capable of precisely assessing melanin-related changes in RP over a large field of view and monitoring the disease progression. As a next step, we are investigating the correlation of specific genetic mutations in RP patients with specific clinical presentations and disease progression rates as assessed by the quantitative measurements in PD-OCT. The clinical findings will be presented during the conference.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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".