研究目的
To review the utility of optical coherence tomography (OCT) in evaluating patients with compressive optic neuropathies, focusing on its role in diagnosis, prognosis, and monitoring of visual outcomes.
研究成果
OCT is a valuable noninvasive tool for evaluating compressive optic neuropathies, providing quantitative measures of RNFL and GCC thickness that correlate with visual function and predict surgical outcomes. It enables earlier diagnosis in preperimetric cases and should be included in neuro-ophthalmic assessments. Future research should focus on the natural history of anatomical changes detected by OCT to guide treatment timing.
研究不足
The paper is a review and does not conduct original experiments; limitations include reliance on existing studies, potential variability in OCT devices and normative databases, and the need for correct patient data entry (e.g., date of birth) to avoid misinterpretation. Segmentation errors can occur due to media opacities or macular changes, and patients with significant refractive errors may not be well-represented in normative databases.
1：Experimental Design and Method Selection:
This is a review paper that synthesizes findings from multiple studies on the use of OCT in compressive optic neuropathies. It does not describe a specific experimental design but discusses methodologies from cited literature, including OCT imaging techniques and correlation with visual function tests.
2：Sample Selection and Data Sources:
The paper references various studies involving patients with compressive lesions such as pituitary adenomas, meningiomas, and other sellar masses. Sample sizes and selection criteria are derived from the cited literature.
3：List of Experimental Equipment and Materials:
OCT devices are mentioned, including specific models like Zeiss-Cirrus SD-OCT and RTVue iVue, but no detailed experimental setup is provided as it is a review.
4：Experimental Procedures and Operational Workflow:
General procedures involve OCT scanning of the retinal nerve fiber layer (RNFL) and macular ganglion cell complex (GCC), followed by comparison with normative databases and correlation with visual field tests.
5：Data Analysis Methods:
Analysis includes quantitative measurement of RNFL and GCC thickness, statistical correlation with visual outcomes, and use of manufacturer normative databases for comparison.
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