Macular thickness and vascular density assessment using optical coherence tomography and optical coherence tomography angiography imaging in iron ore mine personnel
Bibliographic record
Abstract
BACKGROUND: To assess macular anatomical and vascular parameters in individuals working in iron ore mines using Optical Coherence Tomography (OCT) and Optical Coherence Tomography Angiography (OCTA) imaging to explore potential correlations between this occupational exposure and retinal changes. METHODS: Individuals from the Sangan iron ore mine in Iran were included in a comparative cross-sectional observational study. An age-matched normal control group was selected from healthy participants employed at Mashhad University of Medical Sciences. Following thorough medical evaluations, participants underwent OCT and OCTA imaging. The macular thickness profile, vessel density (VD) of the superficial (SCP) and deep retinal capillary plexus (DCP), and the area of the foveal avascular zone (FAZ) were measured in our cases and compared with age-matched normal controls. RESULTS: One hundred and one individuals, with an average age of 38.3 ± 5.59 years in the case group and 38.5 ± 5.59 years in the control group, were enrolled in the study. The difference in mean foveal thickness between cases (50.75 ± 9.13) and normal controls (50.38 ± 8.29) was not statistically significant (p = 0.758). Similarly, the mean VD in SCP and DCP for the case group (49.08 ± 2.20 and 49.32 ± 2.42, respectively) and the control group (49.45 ± 3.54 and 49.36 ± 3.97) did not show significant differences. Additionally, there were no significant changes (p-value > 0.05) in macular thickness and VD in other retinal regions when comparing the case and control groups. CONCLUSION: The research did not establish a significant association between occupational exposure in an iron ore mine and retinal structural changes or alterations in macular VD.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".