Anterior Segment Imaging: Optical Coherence Tomography Versus Ultrasound Biomicroscopy
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: To determine the clinical indications of anterior segment optical coherence tomography (AS-OCT) and ultrasound biomicroscopy in anterior segment imaging. PATIENTS AND METHODS: Eighty patients were evaluated using AS-OCT and ultrasound biomicroscopy. RESULTS: AS-OCT was ideal for detailed imaging of structures from the surface of the eye to the iris plane. Ultrasound biomicroscopy was ideal for imaging structures from the surface of the eye to the anterior vitreous. CONCLUSION: AS-OCT is indicated for imaging the conjunctiva, sclera, cornea, and iris, screening the angle, and visualizing subconjunctival, corneal, and anterior chamber implants. Coronal imaging, unique to AC Cornea OCT (Ophthalmic Technologies Inc., Toronto, Ontario, Canada), graphically defines structures viewed on cross-sectional OCT. Ultrasound biomicroscopy is indicated for imaging the conjunctiva, sclera, iris, lens, and ciliary body, for tumor measurements, for light-and-dark tests in glaucoma, and for viewing subconjunctival, anterior chamber, posterior chamber, and pars plana implants.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".