- •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
120 10 Metabolic Mapping
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10.5.3 Metabolic Alteration in Diabetes Mellitus |
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10.5.3.1 Detection of Fields of Reduced Metabolism |
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Pathological alterations of the cellular metabolism are |
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lead to comparable lifetimes, as demonstrated in arterial |
branch occlusion. Thus, early detection of such changes should be possible by fluorescence lifetime measurements. It is conceivable to be able to detect such unsupplied fields. In individually adapted therapy, these fields might be coagulated first.
To find such alterations, time-resolved fluorescence measurements were performed on a 77-year-old male diabetic type II patient. There were few signs of early non-exudative diabetic retinopathy in the eye with crystalline lens. Fluorescence lifetime measurements were considered for
comparison of an 82-year-old healthy subject. As in arterial branch occlusion, a definite difference was detectable in lifetime t2 in the short-wavelength channel. Figure 10.11 shows the histograms of t2 in K1 of both subjects.
The distribution of the lifetime t2 in K1 of the older healthy subject exhibits a single maximum at 497 ps. In diabetic patients, the maximum of t2 in K1 is shifted to 662 ps and an additional shoulder appears around 1,200 ps. This lifetime range around 1,200 ps was expected as a sign of reduced oxidative metabolism. It corresponds to the lifetime t2 in K1, which was detected in the non-supplied area in the arterial branch occlusion. This prolonged lifetime t2 is the result of an increasing contribution of protein-bound NADH, produced as an augmented effect of glycolysis.
The fields of reduced metabolic activity can be selected at the fundus. Figure 10.12 shows an image of lifetime t2 in K1. In this image, regions with lifetimes shorter than
Frequency
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Lifetime T2 in ps
Fig. 10.11 Histogram of lifetime t2 in K1 (490–560 nm). Healthy subject maximum of t2 at 497 ps, diabetic maximum at 662 ps with shoulder at1,200 ps
Fig. 10.12 Detection of ranges with reduced metabolism. a Fluorescence intensity in K1 (490–560 nm), b fluorescence lifetime t2 in K1, c fluorescence intensity in K2 (560–700 nm)
1,000 ps are red and fields of reduced metabolism with lifetimes longer than 1,000 ps are marked in green. For better orientation, the images of fluorescence intensity are also given. The contrast is weak in the image of fluorescence intensity in K1 (490–560 nm) because of the fluorescence of the lens. The contrast is much better in the long-wavelength channel, where no fluorescence of the crystalline lens is detectable. The coagulations of the fields of reduced metabolism might be a subject of further research into individually adapted therapy.
The histograms of lifetime t2 in K2 are identical to maxima at 467 ps. Further typical changes in lifetime in diabetic and healthy subjects were detected for t1 also. In channel 1 (490–560 nm), the frequency of t1 was maximal at 92 ps in the healthy subjects. For the diabetic subjects, this histogram was double humped at 97 and 132 ps. In K2 (560– 700 nm), the most frequent lifetime t1 = 92 ps in diabetics was shorter than t1 = 102 ps in the healthy subject.
Large differences between the diabetic and healthy subjects were detectable for lifetime t3 in K1. The most frequent lifetime t3 = 5,530 ps in diabetic subjects was
a
c
10.5 Clinical Results |
121 |
considerably longer than t3 = 4,000 ps in the healthy subjects. In K2 (560–700 nm), the difference was much smaller in the diabetic subjects (t3 = 2,980 ps) than in healthy subject (t3 = 2,590 ps). As the lifetime t3 in eyes with crystalline lens is predominantly determined by the fluorescence lifetime of the lens, the prolonged lifetime in diabetic subjects is caused by metabolic changes in the lens. The main reason is the forming of glycolysed proteins (AGE), exhibiting long lifetime. An early sign of diabetic metabolic alteration is observable in the lens. Owing to excitation by blue light at 448 nm, diabetic lenses emit a strong green fluorescence.
10.5.3.2 Lifetime Images in Diabetes After Laser
Coagulation
Laser coagulation is the most frequent therapy in severe diabetic retinopathy. Changes in time-resolved autofluorescence after laser coagulation have been demonstrated in a 77-year-old diabetic patient in Fig. 10.13. An intra-
b
d
Fig. 10.13 Time-resolved autofluorescence in diabetic retinopathy. a Amplitude a1, b lifetime t3 and c fluorescence intensity in K1 (490–560 nm)
