Bruch's membrane opening(BMO)is the true anatomical border of the optic nerve head and provides higher anatomical accuracy, structural stability and measurement repeatability than traditional assessments based on the clinically visible optic disc margin. Optical coherence tomography(OCT)serves as a key technical tool for quantitative assessment of BMO-associated structural parameters. With the development of spectral-domain OCT(SD-OCT)and swept-source OCT(SS-OCT), parameters such as BMO-minimum rim width(BMO-MRW), BMO-minimum rim area(BMO-MRA), BMO area, offset, tilt, and torsion have emerged as important imaging biomarkers for evaluating optic nerve head morphology and for assisting in the diagnosis, staging, and longitudinal monitoring of glaucoma, myopia, and pathological myopia. Traditionally, the acquisition of these parameters has relied heavily on manual segmentation, which is limited by low efficiency, strong subjectivity, and considerable inter-observer variability. In recent years, artificial intelligence has been increasingly applied to OCT image segmentation, quality control, cross-device calibration, and automated quantitative analysis, thereby improving efficiency, objectivity, and reproducibility, particularly in eyes with complex optic disc morphology. This review summarizes recent advances in the BMO-related terminology standardization, imaging and quantitative methodologies, quality control,artificial intelligence-assisted analysis, as well as clinical evidence of its application in glaucoma, myopia and pathological myopia. Particular emphasis is placed on their potential value in the differential diagnosis and follow-up evaluation of highly myopic eyes with glaucoma, aiming to provide a reference for the standardized clinical application and future translational use of BMO-related parameters.

Objective:To explore the relationship between dietary quality and the risk of diabetes and prediabetes among urban women based on alternative healthy eating index-2010（AHEI-2010).Methods:From March to July 2016, a total of 1 061 female residents from 8 cities, Beijing, Guangzhou, Chengdu, Lanzhou, Xuchang, Jilin, Wuhu and Chenzhou in China, were selected by using the multi-stage sampling method. The basic characteristics of all participants were collected by using self-made questionnaire, and the dietary status of the subjects was collected by using 24-hour dietary recall method. AHEI-2010 scores were calculated and the diet was divided into low, medium and high dietary quality group according to the third quartile. All participants received physical examination, systolic blood pressure test, fasting blood glucose test and glycosylated hemoglobin test. Unconditional logistic regression model was used to analyze the relationship between dietary quality and the risk of diabetes and prediabetes.Results:The age of all participants was（48.0±17.5) years old. The median（ P25, P75) of AHEI-2010 score was 46.52（40.04, 54.88). The prevalence of diabetes and prediabetes were 13.3%（141 cases) and 50.0%（530 cases), respectively. Unconditional logistic regression analysis showed that after adjusting for age, city, education, diet control, physical activity, energy intake and waist circumference, compared with the low diet quality group, the OR（95% CI) values of medium, high dietary quality group and diabetes risk were 0.96（0.57-1.62) and 0.63（0.36-1.09), respectively; the OR（95% CI) values of medium, high dietary quality group and prediabetes risk were 0.93（0.64-1.35) and 1.28（0.87-1.88), respectively. Conclusion:The dietary quality of urban women based on AHEI-2010 evaluation is not related to the risk of diabetes and prediabetes.

Objective:To explore the relationship between dietary quality and the risk of diabetes and prediabetes among urban women based on alternative healthy eating index-2010（AHEI-2010).Methods:From March to July 2016, a total of 1 061 female residents from 8 cities, Beijing, Guangzhou, Chengdu, Lanzhou, Xuchang, Jilin, Wuhu and Chenzhou in China, were selected by using the multi-stage sampling method. The basic characteristics of all participants were collected by using self-made questionnaire, and the dietary status of the subjects was collected by using 24-hour dietary recall method. AHEI-2010 scores were calculated and the diet was divided into low, medium and high dietary quality group according to the third quartile. All participants received physical examination, systolic blood pressure test, fasting blood glucose test and glycosylated hemoglobin test. Unconditional logistic regression model was used to analyze the relationship between dietary quality and the risk of diabetes and prediabetes.Results:The age of all participants was（48.0±17.5) years old. The median（ P25, P75) of AHEI-2010 score was 46.52（40.04, 54.88). The prevalence of diabetes and prediabetes were 13.3%（141 cases) and 50.0%（530 cases), respectively. Unconditional logistic regression analysis showed that after adjusting for age, city, education, diet control, physical activity, energy intake and waist circumference, compared with the low diet quality group, the OR（95% CI) values of medium, high dietary quality group and diabetes risk were 0.96（0.57-1.62) and 0.63（0.36-1.09), respectively; the OR（95% CI) values of medium, high dietary quality group and prediabetes risk were 0.93（0.64-1.35) and 1.28（0.87-1.88), respectively. Conclusion:The dietary quality of urban women based on AHEI-2010 evaluation is not related to the risk of diabetes and prediabetes.