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To explore an optimized scan technique for the detection of lid margin vasculature
To investigate whether the SS-OCTA tool has the potential to characterize the lid margin vascularity in MGD patients. The repeatability and validity of OCTA in assessing eyelid margin blood flow density was evaluated。
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 1 | Mild group, the scores of both clinicians were ≤ grade 1 | ||
| 2 | Moderate group, one doctor scored grade 2, and the other doctor scored 1~2; | ||
| 3 | Moderate group, one doctor scored grade 2, and the other doctor scored 1~2; |
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| Measure | Description | Time Frame |
|---|---|---|
| LMBFD | Lid margin blood flow density | Immediately after ssocta |
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Inclusion Criteria:
The MGD patients were aged >_20 years and were diagnosed according to Chinese MGD diagnostic criteria,11 including dry eye symptoms, and at least one of the following signs: (1) poor meibum expressibility or quality; (2) at least one of eyelid margin abnormalities (lid margin irregularity, plugging of the gland orifice, vascular engorgement/telangiectasia, and anterior replacement of the mucocutaneous junction. Normal subjects were defined as adults without any dry eye symptoms and lid margin abnormality.
Exclusion Criteria:
(1) subjects with ocular diseases or conditions known to affect the anatomy of the anterior segment, such as acute ocular inflammation, a history of eyelid surgery, contact lens wear within two weeks, and/or eyelid trauma; (2) subjects with of history of systemic or topical medications that might cause ocular congestion; (3) subjects with severe systemic illness or pregnancy; and (4) subjects who were difficult to cooperate with examination, resulting the obtained images were not sufficiently clear for automatic analysis.
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MGD or normal patients who could cooperate with dry eye evaluation and SSOCTA examination in the dry eye Clinic of the Eye Hospital of Wenzhou Medical University were enrolled.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Man HU | Contact | 13738069080 | 64344308@qq.com |
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