Abstract:This study aimed to explore the morphological characteristics of Bruch's membrane opening distance (BMOD), border length (BL), border tissue angle (BTA), vertical tilt angle, and peripapillary atrophy (PPA), as well as their associations with choroidal thickness (ChT) in young healthy highly myopic eyes. METHODS. A total of 167 patients with high myopia and 172 individuals without high myopia were enrolled. All of the subjects were divided by axial length. The PPA area was measured on fundus photographs. BMOD,… Show more
“…In the correlation analyses, the results indicated that thinning of the mCHT was related to the PPA area and the degree of optic disc tilt, but not the OI. These results are consistent with the results of Chen 13 and Hu et al 29 Among people with HM, thinning of the mCHT may also be affected by changes in optic disc tilt and increased PPA area, aside from the effects of AL. We further found that decreasing macular CCVD and CCF area were related to increasing PPA area.…”
Background
This study aimed to examine changes to optic disc characteristics and macular choroidal microvasculature, and their relationships in young patients with high myopia (HM).
Methods
A total of 90 patients were enrolled in this cross‐sectional study. Based on their refractive power, the patients were divided into three groups: 27 in the control group, 34 in the HM group and 29 in the extremely high myopia group. Images of each patient's macula and optic disc were taken by ocular coherence tomography angiography. The macular choroidal and retinal thickness, capillary vessel density and capillary flow area were measured using Matlab software. Parapapillary atrophy (PPA) and the ovality index (OI) obtained from the scanning laser ophthalmoscopy images and the degree of optic disc tilt obtained from the optic nerve head ocular coherence tomography B‐scans were analysed by Image J and Matlab software.
Results
The PPA area, OI and degree of optic disc tilt were significantly different among the three groups (all p ≤ 0.001). The macular choroidal thickness and microvasculature were significantly different among the three groups (all p < 0.05). Macular choroidal thickness was significantly correlated with PPA area and the degree of optic disc tilt (r = −0.331, p = 0.003; r = −0.394, p = 0.001, respectively). Macular choroidal capillary vessel density and choriocapillaris flow area were associated with PPA area (r = −0.251, p = 0.047; r = −0.326, p = 0.009, respectively).
Conclusions
PPA area, OI and the degree of optic disc tilt were increased in patients with HM, and these changes were correlated with macular choroidal thickness and choroidal microvasculature.
“…In the correlation analyses, the results indicated that thinning of the mCHT was related to the PPA area and the degree of optic disc tilt, but not the OI. These results are consistent with the results of Chen 13 and Hu et al 29 Among people with HM, thinning of the mCHT may also be affected by changes in optic disc tilt and increased PPA area, aside from the effects of AL. We further found that decreasing macular CCVD and CCF area were related to increasing PPA area.…”
Background
This study aimed to examine changes to optic disc characteristics and macular choroidal microvasculature, and their relationships in young patients with high myopia (HM).
Methods
A total of 90 patients were enrolled in this cross‐sectional study. Based on their refractive power, the patients were divided into three groups: 27 in the control group, 34 in the HM group and 29 in the extremely high myopia group. Images of each patient's macula and optic disc were taken by ocular coherence tomography angiography. The macular choroidal and retinal thickness, capillary vessel density and capillary flow area were measured using Matlab software. Parapapillary atrophy (PPA) and the ovality index (OI) obtained from the scanning laser ophthalmoscopy images and the degree of optic disc tilt obtained from the optic nerve head ocular coherence tomography B‐scans were analysed by Image J and Matlab software.
Results
The PPA area, OI and degree of optic disc tilt were significantly different among the three groups (all p ≤ 0.001). The macular choroidal thickness and microvasculature were significantly different among the three groups (all p < 0.05). Macular choroidal thickness was significantly correlated with PPA area and the degree of optic disc tilt (r = −0.331, p = 0.003; r = −0.394, p = 0.001, respectively). Macular choroidal capillary vessel density and choriocapillaris flow area were associated with PPA area (r = −0.251, p = 0.047; r = −0.326, p = 0.009, respectively).
Conclusions
PPA area, OI and the degree of optic disc tilt were increased in patients with HM, and these changes were correlated with macular choroidal thickness and choroidal microvasculature.
“…All subjects have understood the study protocol and signed informed consent forms. The protocol was consistent with those of previous studies ( 20 , 21 ).…”
Section: Methodssupporting
confidence: 71%
“…The average thickness of all nine sectors was calculated in the macular region. While in the peripapillary area, only four regions of the outer ring were applied because no choroidal tissue was found in the central sector and the inner ring, and the topographic maps were not reliable in these regions ( 20 , 21 ).…”
Purpose: To construct quantifiable models of imaging features by machine learning describing early changes of optic disc and peripapillary region, and to explore their performance as early indicators for choroidal thickness (ChT) in young myopic patients.Methods: Eight hundred and ninety six subjects were enrolled. Imaging features were extracted from fundus photographs. Macular ChT (mChT) and peripapillary ChT (pChT) were measured on swept-source optical coherence tomography scans. All participants were divided randomly into training (70%) and test (30%) sets. Imaging features correlated with ChT were selected by LASSO regression and combined into new indicators of optic disc (IODs) for mChT (IOD_mChT) and for pChT (IOD_pChT) by multivariate regression models in the training set. The performance of IODs was evaluated in the test set.Results: A significant correlation between IOD_mChT and mChT (r = 0.650, R2 = 0.423, P < 0.001) was found in the test set. IOD_mChT was negatively associated with axial length (AL) (r = −0.562, P < 0.001) and peripapillary atrophy (PPA) area (r = −0.738, P < 0.001) and positively associated with ovality index (r = 0.503, P < 0.001) and torsion angle (r = 0.242, P < 0.001) in the test set. Every 1 × 10 μm decrease in IOD_mChT was associated with an 8.87 μm decrease in mChT. A significant correlation between IOD_pChT and pChT (r = 0.576, R2 = 0.331, P < 0.001) was found in the test set. IOD_pChT was negatively associated with AL (r = −0.478, P < 0.001) and PPA area (r = −0.651, P < 0.001) and positively associated with ovality index (r = 0.285, P < 0.001) and torsion angle (r = 0.180, P < 0.001) in the test set. Every 1 × 10 μm decrease in IOD_pChT was associated with a 9.64 μm decrease in pChT.Conclusions: The study introduced a machine learning approach to acquire imaging information of early changes of optic disc and peripapillary region and constructed quantitative models significantly correlated with choroidal thickness. The objective models from fundus photographs represented a new approach that offset limitations of human annotation and could be applied in other areas of fundus diseases.
“…Moreover, owing to the consistency in the measurement method used, the difference between the two groups should be reliable. Planimetric fundus photography was widely used in the measurement and analysis of PPA, ODO and ODA (Xu et al 2009;Kim et al 2019;Hu et al 2020); however, planimetric fundus photography analysis cannot reflect the spatial morphology; therefore, we hope that three-dimensional imaging technology will become available in the future to analyse the early changes in ODM and PPS around the disc affected by hyperglycaemia.…”
Section: Discussionmentioning
confidence: 99%
“… 2019 ; Hu et al. 2020 ); however, planimetric fundus photography analysis cannot reflect the spatial morphology; therefore, we hope that three‐dimensional imaging technology will become available in the future to analyse the early changes in ODM and PPS around the disc affected by hyperglycaemia.…”
Purpose: To investigate the changes in optic disc morphology and peripapillary atrophy (PPA) in diabetic children and adults without diabetic retinopathy (DR) or visual impairment (VI). Methods: This cross-sectional study included two groups of subjects. One group included 91 children with type 1 diabetes mellitus (T1DM) and 86 healthy children, and the other group included 444 adults with T2DM and 442 healthy controls. The optic disc parameters including major and minor axis lengths, optic disc ovality (ODO), optic disc tilt, optic disc area and b-PPA area were analysed in all subjects. Optic disc rotation and the Bergmeister papilla were analysed only in children. Patients with diabetes and healthy controls were compared in each group of the study population. Results: In both groups, patients with diabetes and healthy controls were matched for age, sex and axial length (AL). Among the children, b-PPA area was significantly smaller in those with diabetes (0.29 AE 0.43 mm 2 ) than in the healthy controls (0.46 AE 0.58 mm 2 , p < 0.05). Multiple linear regression analysis showed that diagnosis of DM was negatively associated with b-PPA area. Longer AL and higher body mass index (BMI) were positively associated with b-PPA area. Among adults, ODO was significantly larger in those with diabetes (1.14 AE 0.09) than in healthy controls (1.12 AE 0.06, p < 0.05). Multiple linear regression analysis showed that the BMI and DM were potential risk factors affecting ODO. Conclusion: Hyperglycaemia had different effects on the optic disc in children and adults. Unlike in healthy controls, hyperglycaemia had an impact on the peripapillary tissue in children and on optic disc shape in adults before DR and VI development.
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