- •Foreword
- •Preface
- •Contents
- •Contributors
- •Chapter 1
- •1.1 Introduction
- •1.2 Limitations of Time-Domain OCT
- •1.4 Conclusion
- •References
- •Chapter 2
- •2.1 Background
- •2.3 Clinical Application
- •2.4 Conclusions
- •References
- •Chapter 3
- •Fluorescein Angiography
- •3.1 Principles of Fluorescein Angiography
- •3.2 Procedures for Fluorescein Angiography
- •3.4 Time Course of Fluorescein Angiography
- •3.5 Interpretation of Fluorescein Angiography
- •3.5.1 Hypofluorescent Lesions
- •3.5.2 Hyperfluorescent Lesions
- •3.6 Fluorescein Angiography Today
- •References
- •Chapter 4
- •Wide-Field Imaging and Angiography
- •4.1 Introduction
- •4.2 History of Fundus Imaging
- •4.3.1 Fluorescein Angiography with a Scanning Laser Ophthalmoscope
- •4.3.2 Advantages of Imaging with a Scanning Laser Ophthalmoscope
- •4.4 Clinical Use of Wide-Field Imaging
- •4.4.1 Wide-Field Imaging in Uveitis
- •4.4.4 Wide-Field Imaging of Choroidal Tumors
- •4.5 Future Directions for Fundus Imaging
- •4.6 Conclusion
- •References
- •Chapter 5
- •Autofluorescence Imaging
- •5.1 Introduction
- •5.2 What is Fundus Autofluorescence?
- •5.3 Identification of Early Disease Stages
- •5.4 Phenotyping
- •5.5 Disease Markers
- •5.6 Monitoring of Disease Progression
- •5.7 Disease Mapping
- •5.8 Functional Correlation
- •References
- •Chapter 6
- •Imaging the Macular Pigment
- •6.1 Macular Pigment
- •6.1.1 Characteristics and Potential Functions
- •6.1.3 Spatial Distribution
- •6.1.4 Modifying the Macular Pigment
- •6.1.5 MPOD and Age
- •6.2 Measurement Techniques
- •6.2.1 Heterochromatic Flickerphotometry
- •6.2.2 Fundus reflectance
- •6.2.3 Autofluorescence
- •6.2.4 Raman spectroscopy
- •6.2.5 How do different techniques compare
- •6.3 Imaging
- •6.3.1 Heterochromatic Flickerphotometry
- •6.3.2 Fundus Reflectance
- •6.3.3 Autofluorescence
- •6.3.4 Raman spectroscopy
- •References
- •Chapter 7
- •7.1 Introduction
- •7.2 Origin of Near-Infrared Autofluorescence
- •7.3 RPE Melanin: Role and Aging
- •7.4 Clinical Cases
- •7.4.1 Age-Related Macular Degeneration
- •7.4.2 Retinal Dystrophies
- •7.4.2.1 Stargardt’s Disease
- •7.4.2.2 Best’s Disease
- •7.4.2.3 Retinitis Pigmentosa
- •7.5 Conclusion
- •References
- •Chapter 8
- •8.1 Introduction
- •8.3.1.1 Classic Choroidal Neovascularization
- •8.3.1.2 Occult Choroidal Neovascularization
- •8.3.1.4 Mixed-Type Choroidal Neovascularization
- •8.3.1.5 Retinal Angiomatous Proliferation
- •8.3.3 Fibrovascular Scar
- •8.5 Conclusions
- •References
- •Chapter 9
- •9.1 Fundus Cameras
- •9.1.1 Standard Images
- •9.1.2 Wide-Angle Images
- •9.1.2.1 Pomerantzeff Equator Plus
- •9.1.2.2 RetCam™
- •RetCam™ Camera Description
- •RetCam™ Technique of Image Capture
- •RetCam™ Problems
- •9.1.2.3 Panoret™
- •9.1.2.4 Optos™
- •9.2.1 Retinal Tumors
- •9.2.1.1 Retinoblastoma
- •9.2.1.2 Astrocytic Hamartoma
- •9.2.1.4 Retinal Cavernous Hemangioma
- •9.2.1.5 Retinal Racemose Hemangioma
- •9.2.1.6 Vasoproliferative Tumor
- •9.2.2 Retinal Pigment Epithelium Tumors
- •9.2.3 Choroidal Tumors
- •9.2.3.1 Choroidal Nevus
- •9.2.3.2 Choroidal Melanoma
- •9.2.4 Anterior Segment Lesions
- •9.2.4.1 Iris Lesions
- •References
- •Chapter 10
- •Metabolic Mapping
- •10.1 Aspects of Metabolism
- •10.4.1 Technical Solution
- •10.5 Clinical Results
- •10.5.1 Age-Related Macular Degeneration
- •10.5.1.1 Detection of Alterations in Early AMD
- •10.5.1.2 Lifetime Images in Late AMD
- •Non-Exudative AMD and Geographic Atrophy
- •Exudative AMD
- •10.5.2.1 Arterial Branch Occlusion
- •10.5.3 Metabolic Alteration in Diabetes Mellitus
- •10.5.3.1 Detection of Fields of Reduced Metabolism
- •References
- •Chapter 11
- •11.1 Diabetic Macular Edema
- •11.2 Examinations in Diabetic Macular Edema
- •11.3 Treatment of Diabetic Macular Edema
- •References
- •Chapter 12
- •12.1.1 Incidence and Natural History
- •12.2 Investigation of Diagnostic Accuracy of OCT for Detection of DME
- •12.2.2 Diagnostic Accuracy of OCT for Detection of DME: Are Photography or Biomicroscopy a Valid Gold Standard?
- •12.2.3 Diagnostic Accuracy of OCT to Detect CSME Using Time-Domain OCTs: How to Use OCT Retinal Thickness Cut-Offs?
- •12.3 Use of OCT When Compared with Photography: Beyond Diagnostic Accuracy
- •12.4 Appendix: Reproducibility of OCT Retinal-Thickness Measurement in Patients with DME
- •12.4.1 How Reproducibility is Reported
- •12.4.3 Spectral-Domain OCTs Reproducibility
- •References
- •Chapter 13
- •13.2 Clinical Features
- •13.3 Examination
- •13.4 Natural History
- •13.5 Ultra-High Resolution OCT and Spectral OCT Findings in Macular Holes
- •13.6 Macular Hole Formation
- •13.7 Postoperative Appearance
- •13.8 Theory of Macular Hole Closure After Vitrectomy
- •13.9 Surgical Considerations
- •13.11 Clinical Features
- •13.12 Treatment
- •References
- •Chapter 14
- •14.1 Introduction
- •14.2 Vitreous Biochemistry
- •14.3 Vitreo-Retinal Interface Anatomy
- •14.4 Anomalous Posterior Vitreous Detachment (PVD)
- •14.5 Spectral-Domain OCT (SD-OCT)
- •14.6 Vitreo-Maculopathies
- •14.6.1 Macular Pucker (MP)
- •14.6.2 Macular Hole (MH)
- •14.6.2.1 Lamellar Hole (LH)
- •14.6.3 Age-Related Macular Degeneration (AMD)
- •14.6.4 Vitreo-Macular Traction Syndrome (VMTS)
- •14.7 Conclusion
- •References
- •Chapter 15
- •15.3 Imaging the Choroid
- •15.4 Age-Related Choroidal Atrophy
- •15.5 Choroid in High Myopia
- •15.8 Volume Rendering
- •15.9 Summary
- •References
- •Chapter 16
- •16.1 Introduction
- •16.2 Optical Coherence Tomography
- •16.3 Role of Optical Coherence Tomography
- •References
- •Chapter 17
- •17.1 Background and Motivation
- •17.2 Three-Dimensional Imaging of the Choroid
- •17.3 In Vivo Cellular Resolution Retinal Imaging
- •17.4 Polarization Sensitive Retinal OCT
- •17.5 Doppler (Blood Flow) Retinal OCT
- •References
- •Chapter 18
- •Toward Molecular Imaging
- •Summaries for the Clinician
- •References
- •Index
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2 Simultaneous SD-OCT and Confocal SLO-Imaging |
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Fig. 2.6 Simultaneous fluorescein angiography and OCT examination in a patient with a pigment epithelial detachment due to AMD. Note the discrepancy between the apparent sparing of the foveal center on angiography (a) and the true expansion of the lesion involving the foveal center on OCT imaging (b)
characteristic late-phase leakage on fluorescein angiography within the parafoveolar area (B). The hyporeflective retinal spaces show no pooling on fluorescein angiography which is in contrast with other cystoid spaces as in exudative macular edema. These spaces have also been shown to exhibit an internal reflectivity different from exudative cystoid spaces [14]. It was concluded that hyporeflective spaces in MacTel type 2 are rather due to atrophic neurosensory alterations than having an exudative origin.
Figure 2.8 presents findings in two patients with isolated foveal hypoplasia [15]. Patient 1 was 54-year-old and presented with a visual acuity of 20/32. Patient 2 was a 9-year-old boy with bilateral unexplained low visual acuity. Visual acuity was 20/63 in the right eye and 20/50 in the left eye and a slow rotating nystagmus was present. In both patients, there was no foveolar and macular reflex. Patient 1 showed an overall light pigmentation of the peripheral fundus and a conspicuous course of the retinal vessels at the posterior pole. FAF imaging revealed a lack of macular pigment and three-dimensional OCT volume scans could not detect a foveal pit. All neurosensory retinal layers were continuous throughout the foveal center.
2.4 Conclusions
Recent improvement in OCT imaging, including increased resolution and image-contrast, a noninvasive visualization of the microstructural retinal morphology
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Fig. 2.7 Simultaneous confocal blue reflectance imaging (a) or late phase fluorescein angiography (b) with SD-OCT (c) in a patient with macular telangiectasia type 2. The small dark foveal area in (a) appears as a lamellar macular hole on ophthalmoscopy. The correlates on the SD-OCT scan are characteristic hyporeflective spaces within the neurosensory retina. There is no pooling of fluorescein in those cystoid spaces
in vivo. The combination of these new OCT technologies and topographic cSLO imaging within one instrument as described here allows studying the cross-sectional structure of regions of interest on fluorescein and ICG angiography, blue or infrared reflectance, and FAF imaging. This possibility will further improve our understanding of the pathogenesis of macular pathologies and may prove to be useful for diagnosis and patient management.
There is a broad range of potential research and clinical applications for this new instrument. For example, monitoring the natural history or treatment effects in patients with AMD will be facilitated. When the patient returns for follow-up examination, it is now possible to evaluate changes on OCT imaging at precisely the same retinal location as in the previous examination due to the
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Conclusions |
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Fig. 2.8 (From Ref. [15] with permission): Left eye of a normal subject (for comparison) and two patients with foveal hypoplasia. Both patients show reduced (Patient 1) or almost absent (Patient 2) macular pigment on FAF imaging (first row). The color-coded retinal thickness maps reveal absence of the foveal pit in both patients. The infrared confocal reflectance image (third row) shows the location of the OCT-scan below (green line). In the patients, all retinal layers continue through the presumed foveal area on OCT scans and no foveal contour is present. Copyright © (2008) American Medical Association. All rights reserved
automated re-alignment of the OCT scans. This allows for more reliability to judge on whether or not retinal fluid accumulation has stayed the same, increased, or decreased, even if changes are only small. This information may be crucial regarding advice for re-treatment. Moreover, the combined assessment is less time-consum- ing and therefore more cost-effective than performing the two imaging modalities sequentially.
Besides these advantages for follow-up examinations, the automated eye-tracker allows for the averaging of multiple OCT scans at exactly the same location, resulting in a superior signal-to-noise ratio (i.e., improved image contrast) compared with nonaveraged images. It
furthermore ensures that subsequent OCT scans during the acquisition of volume scans are placed at the foreseen location, independent of eye movements.
FAF imaging combined with spatially correlated OCT offers new research applications. The FAF signal mainly derives from lipofuscin granules in the RPE [16]. Excessive lipofuscin accumulation is a common pathogenetic pathway in various retinal diseases including monogenic disorders such as Stargardt’s or Best’s disease and complex diseases such as AMD [2, 17 ]. Recently, FAF imaging has been shown to be a valuable tool to analyze disease progression and it may be beneficial to monitor therapeutic interventions [18]. Correlating findings on SD-OCT with
