- •Preface to the Second Edition
- •Contents
- •List of Abbreviations
- •1: Epidemiology of AMD
- •Core Messages
- •1.1 Introduction
- •1.3 Frequency
- •1.3.1 Prevalence
- •1.3.2 Incidence
- •1.4 Natural Course
- •1.5 Genetic Factors
- •1.5.1 The Complement Pathway Genes
- •1.5.1.1 Complement Factor H (CFH)
- •1.5.1.3 Complement Component 3 (C3)
- •1.5.1.4 Complement Factor I (CFI)
- •1.5.2 The ARMS2 (10q26) Locus
- •1.5.3.1 Apolipoprotein E (APOE)
- •1.5.4 Candidate Gene Association Studies
- •1.6 Environmental Factors
- •1.6.1 Smoking
- •1.6.2 Antioxidants
- •1.6.3 Body Mass Index (BMI)
- •1.6.4 Hypertension
- •1.6.5 Cataract Surgery
- •1.7 Interaction Between Risk Determinants
- •1.7.1 Combined Effects of CFH Y402H and Other Genetic and/or Environmental Factors
- •1.7.2 Combined Effects of 10q26 SNPs and Other Genetic and/or Environmental Factors
- •1.7.4 Combined Effects of the APOE Gene and Other Genetic and/or Environmental Factors
- •References
- •2: Genetics
- •Core Messages
- •2.1 Introduction
- •2.2 Identifying Risk Factors of a Common Disease
- •2.3 Early Findings
- •2.4.1 Functional Implications
- •2.5.1 Functional Implications
- •2.7 Prospects of Genetics in AMD Therapy and Prevention
- •Summary for the Clinician
- •References
- •Core Messages
- •3.1 Introduction
- •3.2 Cause and Consequences of Ageing
- •3.3 Clinical Changes Associated with Retinal Ageing
- •3.4 Ageing of the Neural Retina
- •3.5 Ageing of the RPE
- •3.5.1 Changes in RPE Cell Density
- •3.5.2 Subcellular Changes in the RPE
- •3.5.3 Accumulation of Lipofuscin
- •3.5.4 Melanosomes and Pigment Complexes
- •3.5.7 Antioxidant Capacity of the RPE
- •3.6 Ageing of Bruch’s Membrane
- •3.7 The Association Between Ageing and AMD
- •Summary for the Clinician
- •References
- •Core Messages
- •4.1 Introduction
- •4.2 The Complement System
- •4.3 Evidence for Involvement of the Complement System in AMD Pathogenesis
- •4.4.2 Complement Gene Variants and AMD Subtypes
- •4.4.3 Complement Gene Variants and Progression of AMD
- •4.4.5 Variations of Complement Genes and Response to Treatment: Pharmacogenetics
- •4.5 Emerging Pharmacological Intervention Targeting Complement Dysregulation
- •Conclusions
- •Summary for the Clinician
- •References
- •5: Histopathology
- •Core Messages
- •5.1 Retinal Pigment Epithelium
- •5.1.1 Structure and Function of the Retinal Pigment Epithelium
- •5.1.3 Deposits in the RPE
- •5.2 Bruch’s Membrane
- •5.2.1 Structure of Bruch’s Membrane
- •5.2.3 Deposits in Bruch’s Membrane, Drusen
- •5.3 Choroidal Neovascularization
- •5.4 Detachment of the Retinal Pigment Epithelium
- •5.5 Geographic Atrophy of the RPE
- •Summary for the Clinician
- •References
- •6: Early AMD
- •Core Messages
- •6.1 Introduction
- •6.2 Drusen
- •6.2.3 Fluorescence Angiography and Optical Coherence Tomography
- •6.3 Focal Hypopigmentation and Hyperpigmentation of the Retinal Pigment Epithelium
- •6.4 Abnormal Choroidal Perfusion
- •Summary for the Clinician
- •References
- •Core Messages
- •7.1 Introduction
- •7.2.1 Decreased Visual Acuity
- •7.2.2 Visual Distortion
- •7.2.3 Visual Field Defects
- •7.2.4 Miscellaneous Symptoms
- •7.3 Signs of Choroidal Neovascularization
- •7.3.1 Hemorrhage
- •7.3.2 Macular Edema and Subretinal Fluid
- •7.3.3 Retinal Pigment Epithelial Detachment
- •7.3.4 Miscellaneous Signs
- •7.4 Common Testing Modalities to Diagnose Choroidal Neovascularization
- •7.4.1 Fluorescein Angiography
- •7.4.2 Indocyanine Green Angiography
- •7.4.4 Optical Coherence Tomography
- •Summary for the Clinician
- •References
- •8: Geographic Atrophy
- •Core Messages
- •8.1 Introduction
- •8.3 Histology and Pathogenesis of Geographic Atrophy
- •8.5 Spectral Domain Optical Coherence Tomography in Geographic Atrophy
- •8.7 Risk Factors
- •8.7.1 Genetic Factors
- •8.7.2 Systemic Risk Factors
- •8.7.3 Ocular Risk Factors
- •8.8 Development of CNV in Eyes with GA
- •8.9 Visual Function in GA Patients
- •8.9.1 Measurement of Visual Acuity
- •8.9.2 Contrast Sensitivity
- •8.9.3 Reading Speed
- •8.9.4 Fundus Perimetry
- •8.10 Perspectives for Therapeutic Interventions
- •8.10.2 Complement Inhibition
- •8.10.3 Neuroprotection
- •8.10.4 Alleviation of Oxidative Stress
- •8.10.5 Serotonin-1A-Agonist
- •8.10.6 Perspective
- •Summary for the Clinician
- •References
- •9: Fundus Imaging of AMD
- •Core Messages
- •9.1 Introduction
- •9.2 Color Photography
- •9.3 Monochromatic Photography
- •9.5 Optical Coherence Tomography
- •9.5.2 Coherence Length
- •9.5.3 Time Domain Optical Coherence Tomography
- •9.5.4 Frequency Domain Optical Coherence Tomography
- •9.5.5 Increasing Depth of Imaging
- •9.5.6 General Optical Coherence Tomographic Imaging Characteristics of the Macular Region
- •9.6 Fundus Angiography
- •9.6.1 Fluorescein Dye Characteristics
- •9.6.2 Indocyanine Green Dye Characteristics
- •9.6.3 Cameras Used in Fluorescence Angiography
- •9.6.4 Patient Consent and Instruction
- •9.6.5 Fluorescein Injection
- •9.6.6 Fluorescein Technique
- •9.6.7 Indocyanine Green Technique
- •9.7 Fluorescein Angiographic Interpretation
- •9.7.1 Filling Sequence
- •9.7.2 The Macula
- •9.8 Deviations from Normal Angiographic Appearance
- •9.10.1 Drusen
- •9.12 Neovascular AMD
- •9.13 Retinal Pigment Epithelial Detachments
- •9.14 Retinal Vascular Contribution to the Exudative Process
- •9.15 Follow-up
- •9.15.1 Thermal Laser
- •9.15.2 Photodynamic Therapy
- •9.15.3 Anti-VEGF Therapy
- •Summary for the Clinician
- •References
- •10: Optical Coherence Tomography
- •10.1 Introduction
- •Core Messages
- •10.4 OCT in Geographic Atrophy
- •10.5 OCT in Exudative AMD
- •Summary for Clinician
- •References
- •11: Microperimetry
- •Core Messages
- •11.1 Introduction
- •11.2.1 From Manual to Automatic Microperimetry
- •11.2.2 Automatic Microperimetry
- •11.2.3 Microperimetry: The Examination
- •11.2.4 Microperimetry: Test Evaluation
- •11.2.5 Other Microperimeter
- •11.3 Microperimetry in AMD
- •11.3.1 Early AMD
- •11.3.2 Geographic Atrophy
- •11.3.3 Neovascular AMD
- •11.3.4 Neovascular AMD: Treatment
- •Summary for the Clinician
- •References
- •Core Messages
- •12.1 Introduction
- •12.2 Antioxidants and Zinc
- •12.3 Beta-Carotene
- •12.4 Macular Xanthophylls
- •12.6 Vitamin E
- •12.7 Vitamin C
- •12.8 Zinc
- •12.10 AREDS2
- •Summary for the Clinician
- •References
- •Core Messages
- •13.1 Introduction
- •13.2 Basic Principles
- •13.2.1 Clinical Background
- •13.2.2 Laser Photocoagulation
- •13.2.3 Photodynamic Therapy
- •13.3 Treatment Procedures
- •13.3.1 Laser Photocoagulation
- •13.3.2 Photodynamic Therapy
- •13.4 Study Results
- •13.4.1 Laser Photocoagulation
- •13.4.1.1 Extrafoveal CNV
- •13.4.1.2 Subfoveal CNV
- •13.4.1.3 Meta-analysis
- •13.4.2 Photodynamic Therapy
- •13.4.2.1 Predominantly Classic
- •13.4.2.2 Occult with No Classic Neovascularization
- •13.4.2.3 Minimally Classic
- •13.5 Safety and Adverse Events
- •13.5.1 Laser Photocoagulation
- •13.5.2 Photodynamic Therapy
- •13.6 Variations
- •13.6.1 Laser Photocoagulation: Different Wavelengths
- •13.6.2 Photodynamic Therapy
- •13.6.3 Combination Treatments
- •13.7 Present Guidelines
- •13.7.1 Laser Photocoagulation
- •13.7.2 Photodynamic Therapy
- •13.8 Perspectives
- •Summary for the Clinician
- •References
- •Core Messages
- •14.1 Introduction
- •14.2 Vascular Endothelial Growth Factor (VEGF)
- •14.3 Targets Within the VEGF Pathway
- •14.3.1 Sequestration of Released VEGF
- •14.3.2 Inhibition of VEGF and VEGF Receptor Synthesis by Small Interfering RNA (siRNA)
- •14.3.3 Inhibition of the Intracellular Signal Cascade
- •14.3.4 Natural VEGF Inhibitors
- •14.4 New Methods of Drug Delivery
- •14.5 Combined Strategies
- •Summary for the Clinician
- •References
- •Core Messages
- •15.1 Introduction
- •15.1.1 Anti-VEGF Therapies for NV-AMD
- •15.2.1 How Should Neovascular AMD be Diagnosed?
- •15.2.4.1 Results with Continuous Monthly Treatment
- •15.2.4.2 How Should Treatment be Started?
- •15.2.4.3 What Flexible Approaches Are Reported?
- •Fixed Quarterly Injection Studies
- •Flexible Dosing Regimens: Two Approaches
- •Flexible Dosing Regimens: ‘As Needed’ Approach
- •Flexible Dosing Regimens: ‘Treat-and-Extend’ Approach
- •Summary for the Clinician
- •References
- •Core Messages
- •16.1 Introduction
- •16.3 Current Limitation of Therapy in the Treatment of Exudative AMD
- •16.4 Rationale for Combination Therapy in the Treatment of Exudative AMD
- •16.5 Clinical Data Examining Combination Therapy for Exudative AMD
- •16.5.3 Triple Therapy for Exudative AMD
- •16.5.4 Combination Therapy with Radiation
- •Summary for the Clinician
- •References
- •Core Messages
- •17.1 Introduction
- •17.2 Current Treatment Options for Dry AMD
- •17.3 Targeting the Cause of AMD
- •17.4 Preclinical and Phase I Drugs in Development for Dry AMD
- •17.4.1 Clinical Trial Endpoints in Dry AMD
- •Trimetazidine
- •17.4.2.2 Neuroprotection
- •Ciliary Neurotrophic Factor (CNTF/NT-501)
- •AL-8309B (Tandospirone)
- •Brimonidine Tartrate Intravitreal Implant
- •17.4.2.3 Visual Cycle Modulators
- •Fenretinide
- •17.4.2.4 Other
- •17.4.3 Drugs to Prevent Injury from Oxidative Stress and Micronutrient Depletion
- •17.4.4.1 Complement Inhibition at C3
- •17.4.4.2 Complement Inhibition at C5
- •Eculizumab
- •17.4.4.3 Complement Inhibition of Factor D
- •FCFD4514S
- •Iluvien
- •Glatiramer Acetate (Copaxone)
- •17.5 Summary
- •Summary for the Clinician
- •References
- •18: Surgical Therapy
- •Core Messages
- •18.1 Maculoplasty
- •18.2 Macular Translocation
- •18.3 Single Cell Suspensions
- •18.5 Indications for Surgery
- •18.5.1 Non-responder
- •18.5.2 Pigment Epithelium Rupture
- •18.5.3 Massive Submacular Bleeding
- •18.5.5 Macula Dystrophies
- •Summary for the Clinician
- •References
- •19: Reading with AMD
- •Core Messages
- •19.1 Introduction
- •19.2 Physiological Principles
- •19.3 Reading with a Central Scotoma
- •19.3.1.2 The Reading Visual Field Related to the Fundus (Fig. 19.4b)
- •19.3.1.3 The Reading Visual Field Related to the Text (Fig. 19.4c)
- •19.3.1.4 Eccentric Fixation Related to the Globe (Fig. 19.5)
- •19.3.3 Examination of Fixation Behaviour
- •19.3.4 Motor Aspects
- •19.4 Methods to Examine Reading Ability
- •19.5 Rehabilitation Approaches to Improve Reading Ability
- •Summary for the Clinician
- •References
- •20: Low Vision Aids in AMD
- •Core Messages
- •20.2 Effects of Visual Impairment in AMD
- •20.5 Optical Magnifying Visual Aids for Distance
- •20.5.1 Aids for Watching Television
- •20.8 Electronic Reading Instruments
- •20.9 Additional Aids
- •20.10 Noteworthy Details for the Provision of Low Vision Aids
- •20.11 Basic Information on Prescription
- •Summary for the Clinician
- •References
- •Index
8 Geographic Atrophy |
125 |
|
|
NONE |
FOCAL |
DIFFUSE |
BANDED |
PATCHY |
‘recticular’ |
‘branching’ |
‘fine granular’ |
‘trickling’ |
‘GPS’ |
Fig. 8.4 Classification of abnormal fundus autofluorescence (FAF) in the perilesional zone of geographic atrophy due to agerelated macular degeneration
8.5Spectral Domain Optical Coherence Tomography in Geographic Atrophy
Spectral-domain optical coherence tomography (SD-OCT) has provided additional insights into the microstructural alterations associated with GA [37– 44]. SD-OCT imaging revealed a wide spectrum of morphological abnormalities, both in the surrounding retinal tissue and in the atrophic area. These alterations may reflect different disease stages or, alternatively, heterogeneity on a cellular and molecular level. Additionally, simultaneous recording of cSLO and SD-OCT images in one instrument with an exact topographic overlay during image acquisition allows for accurate orientation of cross sectional SD-OCT-scans at anatomic sites of interest, and, furthermore, serial examinations at the same location over time [38, 41]. Using this technology, the dynamic nature of development and progression of atrophy can be longitudinally analyzed in the same eye on a three-dimensional level. Microstructural changes such as the advancing loss of the RPE and photoreceptor bands at the GA border or the subsequent apposition of the outer plexiform layer
with Bruch’s membrane within the atrophic lesion have been recently described (Fig. 8.5). Of note, these observations can be made within a relatively short period of time [30]. This approach may be helpful both for monitoring the natural course of the disease and to elucidate pathogenetic mechanisms. In particular, the identification of structural risk factors reflecting disease activity and future GA progression may be important for prognosis and visual function. Furthermore, effects of pharmacological interventions on the border zone may be evaluated in the future.
8.6Quantification
of Atrophy Progression
Initial quantitative data on spread of atrophy were published by Schatz and McDonald in 1989 [45]. They showed in fundus photographs of 50 eyes an average growth rate of 139 mm/year in the horizontal direction.
To date, there are data from five large natural history studies exploring the progression of GA: the Geographic Atrophy Study (GAS) conducted by Janet Sunness and co-workers, the FAM-Study, the Beaver
126 |
M. Fleckenstein et al. |
|
|
OPL
ONL
ELM(1)
IPRL(2)
RPE/BM(4)
Baseline
OPL
ONL
ELM(1)
IPRL(2)
RPE/BM(4)
10 months
OPL
ONL
ELM(1)
IPRL(2)
RPE/BM(4)
14 months
Fig. 8.5 Progression of preexisting geographic atrophy (GA) visualized by serial spectral-domain OCT imaging (14 months follow-up). There is marked enlargement of the atrophic area over time with progressive loss of the RPE layer (inner part of band 4), IPRL (band 2,) and ELM (band 1), respectively, and thinning of ONL at the border of atrophy. Within the atrophic lesion, the remaining part of band 4 becomes more homogenous and the ONL progressively thins; subsequently, the OPL approaches the remaining part of band 4 (assumed Bruch’s membrane). OPL outer plexiform layer, ONL outer nuclear layer, ELM external limiting membrane (band 1), IPRL interface of the inner and outer segments of the photoreceptor layer (band 2), RPE/BM retinal pigment epithelium/Bruch’s membrane complex (band 4) (Copyright ARVO.org. Fleckenstein et al. [38])
Dam Eye Study, the ARED-Study, and the Natural History of Geographic Atrophy Progression (GAP) Study (Table 8.1).
Sunness et al. in 1999 [6] and 2007 [46, 47] reported GA progression rates based on serially acquired fundus photographs. The mean GA enlargement rate was 2.6 mm2/year (median 2.2 mm2/year) in 212 eyes (131 patients) over a median follow-up time of 4.3 years. There was a great difference and range in atrophy enlargement within the cohort, ranging from 0 to 13.8 mm2/year. Eyes were classified into five different groups according to the total size of atrophy at baseline and the enlargement rate of the atrophy increased with increasing baseline atrophy for up to 5 disc areas (DA) of baseline atrophy, leveled off for the 5–10 DA group and slightly decreased for the >10 DA group. They reported that the strongest predictor of subsequent growth of GA, however, is growth in the previous 2 years and that there is high correlation between the enlargement rates in the two eyes of patients with bilateral GA.
The FAM-Study reported a slower mean progression rate of 1.74 mm2/year (median 1.52 mm2/year) in 195 eyes (129 patients) over a median follow-up time of 1.8 years [33, 34]; these measurements were based on serial FAF images. It could be confirmed that the slowest atrophy progression was found to be in the eyes with a total baseline atrophy of <1 DA, but no statistical significant difference in atrophy enlargement was shown for the other DA groups. Hence, the great difference and range in atrophy enlargement that was also seen within their cohort could not be explained by baseline atrophy size alone. Interestingly, variable rates of GA progression were associated with specific phenotype of abnormal FAF pattern at baseline (see 8.4 [48]).
The Beaver Dam Eye Study in 2008 showed in fundus photographs of 53 eyes (32 patients) a mean progression rate of 1.3 mm2/year over a median fol- low-up time of 5 years [49], and in 2009, the AREDStudy reported, also based on fundus photographs, a median progression rate of 1.71 mm2/year over a median follow-up of 6 years [50].
The ARED-Study also found that baseline GA size is an important predictor of subsequent GA growth. Furthermore, it was shown that a linear model of GA growth is superior to a quadratic model. These results are in accordance to that reported by the FAM-Study [34, 51]: The linear model provides a better prediction of growth than nonlinear models, but the nonlinear model provides better agreement with assumptions.
