The aqueous humour dynamics in primary angle closure disease: a computational study
Bibliographic record
Abstract
PURPOSE: To create a computational fluid dynamics (CFD) model of ocular anterior segment for primary angle closure diseases (PACD) and assess the aqueous humour (AH) dynamics in different angle closure ranges (ACRs). METHODS: The ocular anterior segment geometry was obtained from an optical coherence tomography image by SOLIDWORKS. Three different angle opening distance at 750 µm from the scleral spur (AOD750) values were established to mimic three widths of anterior chamber angle. The AH dynamics were modelled using the Navier-Stokes equation. The 3D CFD model of the ocular anterior segment was created in COMSOL Multiphysics. The major outcome was the maximum flow velocity (MFV) and pressure in the ocular anterior segment. An in vitro simulation model was used to validate the computational results of the pressure and ACRs. RESULTS: The MFV and pressure both showed a non-linear association with ACR in the CFD models of PACD. The MFV and pressure started to elevate when ACR was larger than 180°, and increased dramatically when the ACR was larger than 270°. The in vitro experiment of the pressure changes was consistent with the CFD model. No significant differences of the MFV and pressure among the three AOD750 models. CONCLUSIONS: The association among the ACR, MFV and pressure is an ascending curve in PACD, and ACR of 180° and 270° are two critical turning points. Our results are consistent with clinical phenomenon and may be used to provide better guidances for the clinical management of PACD in different stages.
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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 | 0.000 |
| 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".