Abstract
Objectives: To evaluate the ocular surface, meibomian glands and corneal structural changes using in vivo confocal microscopy (IVCM) in patients receiving aromatase inhibitor (AI) therapy due to the breast cancer. Methods: This prospective observational study included 13 patients undergoing AI therapy. The patients were evaluated before the treatment, at 3- and 6-month timepoints of AI therapy. To examine the ocular surface and tear film, corneal sensitivity (CS) measurement with Cochet–Bonnet Aesthesiometer, tear film break-up time (TBUT), lissamine green (LG) staining, Schirmer I test with anaesthesia (ST) and the ocular-surface disease index (OSDI) questionnaire were performed consecutively. Corneal cell densities and sub-basal nerve plexus were evaluated with IVCM (ConfoScan 4, Nidek, Japan). Finally, quantitative MG drop-out assessment was made using infrared meibography. Shapiro Wilk, Friedman’s and Post-hoc Dunn tests were used for the statistical analysis. Results: TBUT, ST scores, basal epithelium, anterior and posterior keratocytes and endothelial cell densities, long and total sub-basal nerve densities were found to be decreased (p < 0.001, p = 0.023, p < 0.001, p = 0.01, p = 0.002, p = 0.004, p < 0.001, p < 0.001), and meiboscore, CS, OSDI scores and sub-basal nerve tortuosity values were increased (p < 0.001, p = 0.015, p = 0.001, p = 0.004) during the treatment. Endothelial pleomorphism rates were lower at the 3- and 6-month timepoints compared to before the treatment (p = 0.04). Conclusion: This study showed that aromatase inhibitor therapy causes deteriorations in many of the ocular-surface parameters and corneal structural changes in relation with the duration of treatment. These patients should be observed during the therapy in terms of the ocular-surface side effects.
| Original language | English |
|---|---|
| Pages (from-to) | 1185-1193 |
| Number of pages | 9 |
| Journal | Eye (Basingstoke) |
| Volume | 36 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Jun 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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