Single-capture ultra-widefield guided swept-source optical coherence tomography in the management of rhegmatogenous retinal detachment and associated peripheral vitreoretinal pathology
Bibliographic record
Abstract
BACKGROUND/AIM: To assess the utility of single-capture ultra-widefield confocal scanning laser ophthalmoscope with integrated swept-source optical coherence tomography (UWF-SS-OCT) in the management of rhegmatogenous retinal detachment (RRD) and associated peripheral pathology. METHODS: 138 eyes of 101 consecutive patients with RRD and/or associated peripheral pathology at a vitreoretinal practice in Toronto, Canada between December 2020 and February 2021 that had UWF-SS-OCT with interpretable scans were included. A 200 degree fundus photograph was used to navigate a built-in 100 kHz UWF-SS-OCT to image pathology with a high-density 23 mm line scan and/or volume scan. Main outcomes were the microstructural details of the RRD and/or associated peripheral pathology and longitudinal assessment of response to laser retinopexy and cryopexy with UWF-SS-OCT. RESULTS: 56.5% (78/138) of eyes had prior or current RRD (6 eyes had combined retinoschisis detachment), 31.1% (43/138) had retinal tears/holes and 14.5% (20/138) had lattice degeneration. UWF-SS-OCT impacted management and was useful in determining the presence or absence of vitreoretinal traction with retinal holes or tears. It was also helpful in differentiating retinal detachment, schisis-detachment and retinoschisis in cases where it was not apparent clinically. There were also several novel findings such as vitreous adhesion at the posterior border of a retinal dialysis. UWF-SS-OCT was performed longitudinally before and immediately following laser retinopexy (n=22) and cryopexy (n=4). Microstructural changes were consistent with chorioretinal adhesion immediately following laser versus postprocedure day 6 following cryopexy. CONCLUSION: Single-capture UWF-SS-OCT enabled novel insights in RRD and associated peripheral vitreoretinal pathology.
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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 | 0.002 | 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 | 0.001 |
| 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".