Contributors |
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v | |
Preface |
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xiii | |
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Chapter 1 Glaucoma neurodegeneration and myopia |
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1 | (18) |
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2 | (1) |
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2 | (2) |
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4 | (1) |
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4 Peripapillary scleral flange |
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5 | (1) |
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5 Peripapillary border tissues |
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5 | (1) |
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6 Peripapillary arterial circle of Zinn-Haller |
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6 | (1) |
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7 Parapapillary alpha, beta, gamma and delta zones |
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7 | (1) |
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8 Clinical diagnosis of glaucoma in high myopia |
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8 | (1) |
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9 Differential diagnosis of optic nerve damage in high myopia |
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9 | (1) |
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10 Myopic macular changes with respect to glaucoma |
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9 | (1) |
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11 Mechanisms potentially involved in the process of axial elongation leading to the myopic changes in the optic nerve head |
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10 | (3) |
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13 | (1) |
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13 | (1) |
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13 | (1) |
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13 | (6) |
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Chapter 2 Links between obstructive sleep apnea and glaucoma neurodegeneration |
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19 | (18) |
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20 | (1) |
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20 | (1) |
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20 | (1) |
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4 Risk factors, clinical presentation and therapeutic options |
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21 | (1) |
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5 Association between obstructive sleep apnea syndrome and glaucoma in adults |
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22 | (1) |
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6 Prevalence of glaucoma in patients with OS AS |
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22 | (1) |
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23 | (4) |
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7.1 Hypoxia and hypercapnia |
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24 | (1) |
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24 | (1) |
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25 | (2) |
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8 Anatomical and functional findings |
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27 | (3) |
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30 | (1) |
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31 | (6) |
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Chapter 3 Artificial intelligence and deep learning in glaucoma: Current state and future prospects |
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37 | (28) |
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38 | (1) |
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2 AI to better assess optic nerve head structure |
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39 | (4) |
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3 AI for glaucoma diagnosis |
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43 | (3) |
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4 AI for glaucoma prognosis |
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46 | (1) |
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5 AI for cost-effective screening |
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47 | (3) |
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6 AI and genetics in glaucoma |
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50 | (1) |
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50 | (3) |
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53 | (1) |
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53 | (1) |
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53 | (12) |
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Chapter 4 Brain networks reorganization and functional disability in glaucoma |
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65 | (12) |
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66 | (1) |
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2 Brain involvement in glaucoma: Histological and neuroimaging evidence |
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67 | (1) |
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3 Cerebral neurofunctional alterations and disabilities in glaucoma |
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68 | (4) |
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72 | (1) |
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72 | (1) |
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72 | (5) |
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Chapter 5 Advanced vascular examinations of the retina and optic nerve head in glaucoma |
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77 | (8) |
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81 | (4) |
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Chapter 6 Evaluation of putative differences in vessel density and flow area in normal tension and high-pressure glaucoma using OCT-angiography |
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85 | (14) |
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86 | (1) |
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87 | (1) |
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88 | (3) |
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91 | (2) |
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93 | (2) |
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95 | (1) |
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96 | (1) |
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96 | (1) |
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96 | (3) |
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Chapter 7 Towards stem cell-based neuronal regeneration for glaucoma |
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99 | (20) |
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99 | (1) |
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2 RGC degeneration in glaucoma |
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100 | (1) |
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100 | (8) |
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101 | (1) |
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102 | (5) |
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3.3 Muller glia in RGC regeneration |
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107 | (1) |
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3.4 MSCs in RGC regeneration |
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107 | (1) |
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4 Purification and transplantation of stem cell-derived RGCs |
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108 | (1) |
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109 | (1) |
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110 | (1) |
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111 | (8) |
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Chapter 8 Naturally occurring neuroprotectants in glaucoma |
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119 | (22) |
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119 | (3) |
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122 | (4) |
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2.1 Role in neuroprotection |
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122 | (2) |
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124 | (1) |
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2.3 Drug delivery systems for resveratrol |
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125 | (1) |
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126 | (3) |
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3.1 Role in neuroprotection |
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127 | (1) |
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3.2 Drug delivery systems for curcumin |
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128 | (1) |
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129 | (1) |
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129 | (3) |
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4.1 Role in neuroprotection |
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130 | (2) |
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5 Early diagnostic tools in glaucoma |
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132 | (1) |
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133 | (1) |
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134 | (7) |
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Chapter 9 Impact of nutraceuticals on glaucoma: A systematic review |
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141 | (14) |
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142 | (1) |
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143 | (2) |
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143 | (1) |
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143 | (2) |
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145 | (2) |
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147 | (5) |
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152 | (1) |
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152 | (1) |
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152 | (1) |
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152 | (3) |
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Chapter 10 Evidence on the neuroprotective properties of brimonidine in glaucoma |
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155 | |
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156 | (1) |
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157 | (1) |
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157 | (1) |
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157 | (1) |
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158 | (5) |
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3.1 Results of the search and included studies |
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158 | (2) |
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3.2 Risk of bias assessment and meta-analysis |
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160 | (3) |
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163 | (1) |
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164 | (1) |
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164 | (1) |
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164 | (1) |
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164 | |