- •Ocular Blood Flow
- •Contents
- •1: Anatomy of the Ocular Vasculatures
- •Core Messages
- •1.1 Limbus and Conjunctiva
- •1.1.1 Cornea
- •1.1.2 Vasculature Distribution in the Anterior Segment
- •1.1.3 The Conjunctiva
- •1.1.3.1 The Conjunctival Arterial Supply
- •1.1.3.2 The Conjunctival Veins
- •1.2 Uveal Tract
- •1.2.1 The Iris
- •1.2.1.1 The Major Arterial Circle of the Iris
- •1.2.2 Ciliary Body and Processes
- •1.2.3 Choroid and Suprachoroid
- •1.2.3.1 Development of the Choroidal Vasculature
- •1.2.3.2 Arteries
- •1.2.3.3 Choroidal Veins (Vortex Veins)
- •1.2.3.4 Choriocapillaris
- •1.3 Optic Nerve Vasculature
- •1.4 Retina
- •1.4.1 Development of the Retinal Vasculature
- •1.4.2 Adult Retinal Vasculature
- •1.4.3 Nonprimate Adult Retinal Vasculatures
- •1.5 Conclusions
- •References
- •Core Messages
- •2.1 Introduction
- •2.3 Stochastic Error in the Entrapment of Microspheres
- •2.4 Methodological Errors and Practical Advice
- •2.4.1 Size of the Microspheres
- •2.4.2 Physical Characteristics of Microspheres
- •2.4.4 Dissection
- •2.4.5 Detection of RM and NAM
- •2.4.6 Detection of CM and FM
- •2.5 Biological Variation
- •2.5.1 Blood Pressure
- •2.5.3 Arterial Blood Gases
- •2.5.4 Other Possible Causes for Biological Variability
- •2.6 Summary for the Clinician
- •References
- •3: Laser Doppler Flowmetry in Animals
- •Core Messages
- •3.1 Introduction
- •3.2 History
- •3.3 Theory
- •3.4 Validation
- •3.5 Calibration
- •3.6 Zero Offset
- •3.7 Effects of Oxygen
- •3.9 Measurement Depth and Sampling Volume
- •3.10 Caveats
- •References
- •4: Oxygen Measurements in Animals
- •Core Messages
- •4.1 Introduction
- •4.2.1 Oxygen Electrodes
- •4.2.2 Hypoxyprobe
- •4.2.3 Magnetic Resonance Imaging
- •4.2.4 Phosphorescence Decay
- •4.2.5 Oximetry
- •4.3.1 Vitreal Oxygen
- •4.3.2 Intraretinal Oxygen
- •4.4 Oxygen in Avascular Retinas
- •4.5 Analysis of Retinal Oxygen Utilization
- •4.5.1 Fick Principle Analyses
- •4.5.4 Other Diffusion Models
- •4.6 Physiological Variations in Retinal Oxygen
- •4.6.1 Light
- •4.6.2 Hypoxia
- •4.6.3 Hyperoxia
- •4.6.4 Hypercapnia
- •4.7 Pathophysiology and Retinal Oxygen
- •4.7.1 Vascular Occlusion
- •4.7.2 Diabetes
- •4.7.3 Retinal Detachment
- •4.7.4 Retinal Degenerative Diseases
- •4.7.5 Retinopathy of Prematurity
- •4.8 Retinal Molecular Changes Related to Oxygen
- •4.9 Oxygen in the Optic Nerve Head
- •References
- •Core Messages
- •5.1 Measuring Technique
- •5.2 Normal Values
- •5.3 Retinal Pathologies
- •5.3.1 Diabetes Mellitus
- •5.3.2 Central Retinal Vein Occlusion
- •5.4 Summary
- •References
- •Core Messages
- •6.1 Introduction
- •6.1.1 Anatomy
- •6.3 Vessel Diameter Measurements Based on Photographic and Digitally Stored Images
- •6.3.1 Basics for Measurements on Stored Images
- •6.3.1.1 Measuring Principle
- •6.3.1.4 Problems and Measuring Errors
- •6.3.1.5 Physiological Variability of Vessel Diameter
- •6.3.2 Methods
- •6.3.2.2 Microdensitometry Based on Photographic Negatives
- •6.3.2.3 Measurements Based on Digital Images
- •6.4 Diameter Assessment for Blood Flow
- •6.4.1 Assessment of Flow by Use of Doppler Technique (CLBF)
- •6.5 Retinal Vessel Analysis
- •6.5.1 Basics of Retinal Vessel Analysis
- •6.5.2 Static Vessel Analysis
- •6.5.3 Results and Limits of Static Vessel Analysis
- •6.5.4 Results and Limits of Dynamic Vessel Analysis
- •6.5.4.1 Stimulation with Flicker Light
- •6.5.4.2 Other Provocation Tests
- •6.5.5 Systems Available for Dynamic Vessel Analysis
- •6.6 Further Perspectives
- •References
- •Core Messages
- •7.1 Introduction
- •7.2 Retinal Laser Doppler Velocimetry
- •7.2.1 The Doppler Effect
- •7.2.2 Electric Field Scattered by Singly Scattering Particles Moving in a Capillary Tube
- •7.2.5 Experimental Test of the Bidirectional LDV Technique
- •7.2.7 The DSPS for RBCs Moving in a Retinal Vessel
- •7.2.7.1 Multiple Scattering of Blood
- •7.2.7.2 DSPS from RBCs Flowing in a Glass Capillary Tube
- •7.2.7.3 DSPS from Human Retinal Vessels
- •7.2.7.4 Exploring the Scattering Process
- •7.2.9 Instrumentation
- •7.2.10 Blood Flow in Retinal Vessels
- •7.2.12 Limitations, Safety, and Future Directions of the LDV Technique
- •7.2.13 Physiologic and Clinical Applications (Brief Overview)
- •7.3.1 The DSPS for RBCs Moving in the Microvascular Bed of a Tissue
- •7.3.2 Hemodynamic Parameters Derived from the DSPS
- •7.3.3 Detection Scheme for Optic Nerve and Subfoveal Choroidal Blood Flow
- •7.3.4 Critical Questions Regarding the Application of LDF to Ocular Blood Flow
- •7.3.4.1 LDF Sample Volume
- •7.3.4.2 Linearity of LDF
- •7.3.4.3 Scattering Scheme
- •7.3.5 Reproducibility of LDF
- •7.3.6 Applications of LDF
- •7.4 Summary for the Clinician
- •References
- •8: Color Doppler Imaging
- •Core Messages
- •8.1 Principles
- •8.2 Instrumentation
- •8.3 Procedure
- •8.4 Outcome Variables
- •8.5 Reproducibility
- •8.6 Physiological and Pharmacological Stimuli
- •8.7 Results in Patients with Disease
- •8.8 Advantages and Limitations
- •References
- •9: Other Approaches
- •Core Messages
- •9.1 Blue Field Entoptic Technique
- •9.1.1 Laser Speckle Technique
- •9.1.2 Pulsatile Ocular Blood Flow
- •9.1.2.1 Laser Interferometry
- •References
- •10: Systemic Determinants
- •Core Messages
- •10.1 Introduction
- •10.1.1 Ocular and Systemic Blood Flow
- •10.2 Local Skin Cooling Effect
- •10.2.1 Choroidal Blood Flow
- •10.2.2 Retinal Blood Flow
- •10.3 Aerobic Exercise
- •10.3.1 Choroidal Blood Flow
- •10.3.2 Macular Blood Flow
- •10.3.3 Retinal Blood Flow
- •10.4 Neural Activation
- •10.4.1 Valsalva Maneuver
- •10.4.2 Nicotine
- •10.5 Blood Pressure Versus Ocular Perfusion Pressure
- •10.5.1 Increased Ocular Perfusion Pressure
- •10.5.1.1 Choroidal Blood Flow
- •10.5.2 Decreased Ocular Perfusion Pressure
- •10.5.2.1 Choroidal Blood Flow
- •10.5.2.2 Optic Nerve Head Blood Flow
- •10.5.3 Neural Retinal Function
- •10.6 Blood Gases
- •10.6.1 Hyperoxia and Blood Flow
- •10.6.3 Hypoxia and Pulsatile Choroidal Blood Flow
- •10.6.4 Hyperoxia, Hypercapnia, and Retinal Function
- •10.6.5 Hypoxia, Hyperoxia, and Retinal Function
- •10.7 Regional Choroidal Perfusion
- •10.7.1 Cones Versus Rods: Structure and Function
- •10.7.2 Choroidal Angioarchitecture
- •10.7.3 Dark Adaptation
- •10.7.4 Protracted Blue Flicker
- •10.8 Aging
- •10.8.1 Structure
- •10.8.2 Blood Flow
- •10.8.3 Retinal Function
- •References
- •11: Local Determinants
- •Core Messages
- •11.1 Introduction
- •11.2 Ocular Perfusion Pressure, IOP, and the Ocular Starling Resistor Effect
- •11.3 Types of Local Control
- •11.3.1 Myogenic Local Control
- •11.3.2 Metabolic Local Control
- •11.3.3 Flow-Mediated Vasodilation
- •11.3.4 Flow Control by Intercellular Conduction
- •11.4 Ocular Local Control
- •11.4.1 Optic Nerve Head (ONH)
- •11.4.2 Choroid
- •11.4.3 Retina
- •11.4.4 Ciliary Body
- •11.4.5 Iris
- •11.5 Caveats
- •11.6 Summary for the Clinician
- •References
- •12: Neural Control of Ocular Blood Flow
- •Core Messages
- •12.1 Overview of Ocular Blood Supplies and Their Neural Control
- •12.2 Neural Control of Optic Nerve and Retinal Blood Flow
- •12.3 Neural Control of Iridial and Ciliary Body Blood Flow
- •12.4 Neural Control of Blood Flow in Orbital Glands
- •12.5 Neural Control of Choroidal Blood Flow
- •12.5.1 Importance of the Choroid
- •12.5.2 Choroidal Innervation: Overview of Anatomy
- •12.5.3 Facial Nucleus Parasympathetic Input
- •12.5.3.4 Choroidal Autoregulation and the PPG Input to Choroid – Mammals
- •12.5.3.8 Choroidal Autoregulation and the PPG Input to Choroid – Birds
- •12.5.4 Oculomotor Nucleus Parasympathetic Input
- •12.5.4.1 Ciliary Ganglion Circuitry – Mammals
- •12.5.4.2 Function of the EW-Ciliary Ganglion Circuit – Mammals
- •12.5.4.3 Ciliary Ganglion Circuitry – Birds
- •12.5.4.4 Function of vSCN-EWM-Ciliary Ganglion Circuit – Birds
- •12.5.5 Sympathetic Superior Cervical Ganglion Input
- •12.5.6 Trigeminal Sensory Input
- •12.5.7 Intrinsic Choroidal Neurons
- •12.5.8 Disturbed Neural Control of Choroidal Blood Flow in Aging and Retinal Disease
- •12.5.8.1 Effect of Aging on Retina and Choroid
- •12.5.8.2 Effect of Disease on Retina and Choroid
- •References
- •13: Endothelial and Adrenergic Control
- •Core Messages
- •13.1 Nitric Oxide
- •13.2 Endothelins
- •13.3 Arachidonic Acid Metabolites
- •13.4 Adrenergic Control
- •13.5 Alpha Receptors
- •13.6 Topical Administration
- •13.6.1 Clonidine
- •13.6.2 Brimonidine
- •13.6.3 Beta Receptors
- •13.6.4 Timolol
- •13.6.5 Human Studies
- •13.6.6 Betaxolol
- •13.6.7 Human Studies
- •13.6.8 Levobunolol
- •13.6.9 Carteolol
- •13.6.10 Serotonin
- •13.7 Carbonic Anhydrase Inhibitors
- •13.8 Acetazolamide
- •13.9 Dorzolamide
- •13.10 Retrobulbar Blood Flow
- •13.11 Retinal Blood Flow
- •13.12 Choroidal and Optic Nerve Head Blood Flow
- •13.13 Brinzolamide
- •References
- •Core Messages
- •14.1 Introduction
- •14.2 Retinal Ischemia Basic Mechanisms
- •14.3 Oxidative Stress
- •14.6 Animal Studies Relating Ischemia, Glaucoma, and Neuroprotection
- •14.6.1 Retinal Ischemia
- •14.6.6 Role of Mitochondria (Fig. 14.6)
- •References
- •Core Messages
- •15.1 Introduction
- •15.2 Retinal Blood Flow in Diabetes
- •15.3 Retinal Hypoperfusion
- •15.3.1 Mechanisms of Hypoperfusion
- •15.3.1.1 Glycaemic Control
- •15.3.1.2 Protein Kinase C
- •15.3.1.3 Ion Channel Dysfunction
- •15.4 Retinal Hyperperfusion
- •15.4.1 Mechanisms of Hyperperfusion: A Link to Hypoperfusion, Tissue Hypoxia and Retinal Leukostasis?
- •15.4.2 Retinal Autoregulation in Diabetes
- •15.5.1 Basement Membrane Thickening
- •15.5.3 Microaneurysms
- •15.5.4 Capillary Acellularity
- •15.6 Retinal Blood Flow and Vision Loss in Diabetic Retinopathy
- •15.6.1 Diabetic Macular Oedema
- •15.6.2 Proliferative Diabetic Retinopathy
- •15.7 Conclusions
- •15.8 Summary for the Clinician
- •References
- •Core Messages
- •16.1 Introduction
- •16.2 Choroidal Blood Flow
- •16.3 Systemic Vascular Factors and AMD
- •16.5 Choroidal Hemodynamic Changes in AMD
- •16.5.1 Choroidal Histopathological Vascular Changes in AMD
- •16.5.1.1 Choriocapillaris and Bruch’s Membrane in Aging and AMD
- •16.5.2 Choroidal Microcirculation in AMD
- •16.5.2.2 Choroidal Watershed Zones and Neovascularization
- •16.5.2.3 Laser Doppler Flowmetry Evaluation
- •References
- •Core Messages
- •17.1 Introduction
- •17.2 Potential Mechanisms of Ischaemic Damage in Glaucoma
- •17.2.2 Autoregulatory Disturbances
- •17.2.3 Mechanical Compression or Collapse of Vessels
- •17.2.4 Atherosclerosis
- •17.2.5 Vascular Endothelial Factors
- •17.2.6 Barriers to Nutrient Delivery
- •17.2.7 Circulating Vasoconstrictors
- •17.3 Evidence Base Supporting the Importance of Ischaemia in Glaucoma
- •17.3.1 Association and Causality
- •17.3.1.1 Reduction in Optic Nerve Head Blood Flow
- •17.3.1.2 Blood Pressure, Intraocular Pressure and Perfusion Pressure
- •17.3.1.3 Nocturnal Hypotension
- •17.3.1.4 Vasospasm
- •17.3.1.5 Endothelin and Other Circulating Peptides
- •17.3.2 Effects of Treatment
- •17.3.2.1 Calcium Channel Blockers
- •17.3.2.2 Topical Adrenergic Antagonists
- •17.3.2.4 Prostaglandin Analogues
- •17.4 Experimental Models of Ischaemia Relating to Glaucoma
- •17.4.1 Acute Ischaemia
- •17.4.2 Chronic Ischaemia
- •17.5 Summary
- •17.5.1 Diversity of Evidence
- •17.5.2 Evidence Base Compared to Intraocular Pressure
- •17.5.3 Requirements to Strengthen Evidence Base
- •References
- •Core Messages
- •18.1 Retinal Diseases
- •18.2 Uveitis
- •18.3 Optic Nerve Disorders
- •18.4 Systemic Diseases
- •References
- •Core Messages
- •19.1 Atherosclerosis
- •19.1.1 Pathogenesis of Atherosclerosis
- •19.1.2 Internal Carotid Artery Disease (ICA)
- •19.1.3 Effects on the Ocular Circulation
- •19.1.3.1 Retinal Artery Occlusion
- •Clinical Characteristics
- •Diagnosis
- •Mortality/Morbidity
- •19.1.3.2 Retinal Vein Occlusion (RVO)
- •Clinical Characteristics
- •Pathogenesis
- •Diagnosis
- •19.1.3.3 Ischemic Optic Neuropathy
- •Clinical Characteristics
- •Mortality/Morbidity
- •19.1.3.4 Asymptomatic Retinal Emboli
- •Background
- •Pathophysiology
- •19.2 Vasculitis
- •19.2.1 Takayasu’s Arteritis (Aortic Arch Syndrome)
- •19.2.1.1 Pathophysiology
- •19.2.1.2 Clinical Characteristics
- •19.2.1.3 Epidemiology
- •19.2.2 Behcet’s Disease
- •19.2.2.1 Clinical Characteristics
- •19.2.2.2 Pathogenesis
- •19.2.2.3 Diagnosis
- •19.2.2.4 Epidemiology
- •19.2.3 Thromboangiitis Obliterans
- •19.2.3.1 Diagnosis and Clinical Characteristics
- •19.2.3.2 Treatment
- •19.2.4 Temporal Arteritis
- •19.2.4.1 Epidemiology
- •19.2.4.2 Pathogenesis
- •19.2.4.3 Ocular Manifestations
- •19.2.5 Wegener’s Granulomatosis
- •19.2.5.1 Pathogenesis
- •19.2.5.2 Ocular Manifestation
- •19.2.5.3 Diagnosis
- •19.2.6 Kawasaki Disease
- •19.2.6.1 Clinical Characteristics
- •19.2.6.2 Diagnosis
- •19.3 Vascular Malformations
- •19.3.1.1 Diagnosis
- •19.3.1.2 Pathophysiology
- •19.4 Systemic Hypertension and Treatment
- •19.4.1 Etiology
- •19.4.1.1 Primary Hypertension
- •19.4.1.2 Secondary Hypertension
- •19.4.2 Pathophysiology
- •19.4.3 Pathology and Complications
- •19.4.4 Symptoms and Signs
- •19.4.5 Diagnosis of Hypertension
- •19.4.5.1 History
- •19.4.5.2 Physical Examination
- •19.4.5.3 Testing
- •19.4.6 Prognosis
- •19.4.7 General Treatment
- •19.4.7.2 Drugs
- •19.5 Hypertensive Retinopathy
- •19.5.2 Pathophysiology
- •19.5.3 Blood Pressure
- •19.5.3.1 The Risk of Stroke
- •19.5.3.2 The Risk of Coronary Heart Disease
- •19.5.4 Treatment
- •19.5.4.1 ACE Inhibitors and the Eye
- •References
- •Index
Other Approaches |
9 |
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Gerhard Garhöfer and Leopold Schmetterer |
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Core Messages
¥Beside the classical techniques to assess ocular blood ßow, several methods exists which aim to measure speciÞc components of ocular blood ßow. In this chapter, the blue Þeld entoptic technique, the laser specle technique and methods that assess the pulsatile ocular blood ßow will be covered.
9.1Blue Field Entoptic Technique
The blue Þeld entoptic technique is a semiquantitative, subjective method that uses the optical blue Þeld entoptic phenomenon to estimate retinal capillary blood ßow in retinal perifoveal vessels [27]. Basically, entoptic phenomena are deÞned as visual effects, observed under certain illumination conditions, whose source lies within the eye itself. The blue Þeld effect is the most well known among these entoptic phenomena.
G. Garhšfer, M.D. (*)
Department of Clinical Pharmacology,
Medical University of Vienna, Waehringer Guertel 18-20, Vienna A-1090, Austria
e-mail: gerhard.garhoefer@meduniwien.ac.at
L. Schmetterer, Ph.D.
Department of Clinical Pharmacology, Center of Medical Physics and Biomedical Engineering, Medical University of Vienna,
Waehringer Guertel 18-20, Vienna A-1090, Austria e-mail: leopold.schmetterer@meduniwien.ac.at
The blue Þeld entoptic phenomenon can easily be seen when looking into a blue light with a narrow optical spectrum at a wavelength of approximately 430 nm. In daily life, the blue Þeld effect can be produced when looking into the blue sky on a bright, sunny day. Under these illumination conditions, many tiny corpuscles that move in a ßowing manner with synchronous acceleration corresponding to the cardiac rhythm can be observed around an area of the center of the fovea. The particles often show a tiny dark tail, seem to appear suddenly, and follow Þxed, often curving paths before disappearing.
Given that entoptic images are generated within the observerÕs own eye, it has been hypothesized that the observed effects may carry information about the anatomical and physiological properties of the observerÕs eye. In particular, it was suggested that the speed and the density of the moving particles observed could reßect quantitative information about blood ßow in the retina. However, given that entoptic phenomena are produced within the subjectÕs eye, the subject cannot share the speciÞc view of the phenomenon with others. Thus, the quantiÞcation of the blue Þeld effect remained impossible for a long time. Furthermore, the cellular origin of the entoptically produced bright particles remained a matter of controversy for a long time. Although it has been hypothesized since the early interpretations of the blue Þeld effect by Helmholtz and others that the blue Þeld effect is caused by circulating leukocytes, the assumptions concerning the source of the entoptic phenomenon were mainly
L. Schmetterer, J.W. Kiel (eds.), Ocular Blood Flow, |
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DOI 10.1007/978-3-540-69469-4_9, © Springer-Verlag Berlin Heidelberg 2012 |
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Leukocyte count (x109/l)
WBCD (a.u.)
Diameter (µm)
25
20
15
10
5
0
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200
100
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180
170
160
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140
130
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1,8 |
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1,6 |
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1,4 |
(a.u.) |
1,2 |
WBCV |
1,0 |
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0,8 |
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0,6 |
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2,0 |
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1,8 |
(a.u.) |
1,6 |
WBCD |
1,4 |
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1,2 |
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20 |
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18 |
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(µl/min) |
16 |
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14 |
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RBF |
12 |
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10 |
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8 |
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6 |
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BL |
12min |
480 min |
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BL |
12 min |
480 min |
Fig. 9.1 Effects of granulocyte colony stimulating factor (G-CSF) or placebo on retinal hemodnymic parameters in healthy subjects. The time course of leukocyte counts, white blood cell velocity (WBCV), white blood cell density (WBCD), mean retinal red blood cell velocity (Vel), retinal
venous diameter (Diameter) and retinal blood ßow through a major retinal vein (Flow) after administration of G-CSF (solid up triangles) or placebo (open down triangles) is shown. Data are presented as means ± SD (n=15 per group). Asterisks indicate signiÞcant effects of G-CSF versus placebo
9 Other Approaches |
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based on physiological and optical considerations without experimental evidence.
In particular, the movement patterns of the observed particles share similarities to histologically identiÞable capillary loops. Furthermore, the observation that the corpuscles are not visible in the innermost of the fovea, which may represent the foveal avascular zone, strengthens the hypothesis that moving particles in the blood stream cause the entopic effect. Evidence that leukocytes cause the blue Þeld effect is even nowadays mainly derived from indirect evidence. Bauermann observed that in patients with leukemia, the number of particles observed under blue Þeld conditions is paralleled by the leukocyte count in the peripheral blood [2]. Furthermore, it has been shown in animal experiments that the blue Þeld entoptic phenomenon can be reproduced in microvascular preparations [35]. More precisely, the authors used a video microscopic setup with lighting conditions similar to those under which the entopic phenomenon is visualized within the human eye. Under these conditions, the cellular ßow within small blood vessels in a wing of a hibernating bat and a rat cremaster muscle was studied. In both preparations, effects of bright moving particles, which could microscopically be identiÞed as leukocytes, were observed [35].
Evidence from an interventional study in healthy humans conÞrmed these results. In this experiment, granulocyte colony-stimulating factor was infused intravenously in a randomized, placebo-controlled double-masked study in healthy young volunteers in order to increase the leukocyte count in the peripheral blood [9]. Leukocyte movement was then assessed by the blue Þeld technique. The authors of the study found a strong correlation between granulocyte colony-stimulating factor-induced changes in leukocyte count in the peripheral blood and leukocyte density as assessed with the blue Þeld entoptic technique (Fig. 9.1). This was observed in the absence of effects on retinal vessel diameters or red blood cell velocities as assessed with bidirectional laser Doppler velocimetry. This is a clear indication that the blue Þled phenomenon reßects leukocyte movement in the perifoveal retinal vasculature [9].
Fig. 9.2 Origin of the blue Þeld entoptic phenomenon (for details see text, courtesy of Martial Geiser)
Today, there is general agreement that the blue Þeld entoptic phenomenon is produced by the different absorption properties of red and white blood cells when the retina is illuminated with blue light. Passing white blood cells do not absorb the short wavelength light, whereas the red blood cells do. Accordingly, white blood cells transversing retinal capillaries that are in front of the photoreceptors are perceived as a ßying corpuscle (Fig. 9.2). Hence, the technique is capable of gaining insight into white blood cell movement in retinal perifoveal capillaries. Whether this is proportional to retinal red blood cell movement or retinal blood ßow under all clinical conditions remains, however, doubtful.
Several methodological approaches have been proposed to quantify leukocyte movement based on the blue Þeld entoptic effect. Given that the blue Þeld phenomenon is produced by the leukocytes moving in the vessel of the observer, it cannot be made visible by others. Thus, all approaches that have been introduced for the quantiÞcation of the blue Þeld phenomenon are strictly subjective in their nature. In an early approach, Riva and Loebl used the blue Þeld phenomenon to investigate autoregulation of the retinal circulation.
For this purpose, subjects were asked to compare the white blood cell velocity observed in one eye with that seen in the other eye. Then the subjects were asked to raise their intraocular pressure (IOP) by pressing a tonometer probe against
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Fig. 9.3 Photograph of the blue Þeld entoptic system
the sclera until a reduction in speed of the moving particles was observed [26]. The IOP at which the white blood cell speed started to decrease was deÞned by the authors as the point where the autoregulation of retinal blood ßow was not sufÞcient any more to maintain normal blood ßow.
Later, Riva and Petrig developed a more reÞned technique that has been made commercially available (Blue Field Simulator, Oculix Sarl, Arbaz, Switzerland, Fig. 9.3). This approach uses a computer system to simulate a Þeld with corpuscles, similar to the Þeld that is observed by the subjects under blue Þeld conditions to extract quantitative data. For this purpose, the eye is illuminated with light of a center wavelength of 430 nm. By the means of a connected computer system and a video monitor, a simulated particle Þeld is shown to the subject under study. Then, either the simulated Þeld by the computer system or the subjectsÕ own perception of the blue Þeld phenomenon is alternately shown. The subject is asked to adapt the computer image by adjusting speed and number of the moving particles till the computer image reßects his own perception. By comparing and adjusting the white blood cell (WBC) density and the WBC velocity of the particles in the observed simulated particle Þeld with their own perception, an estimate of perimacular WBC ßux can be obtained. WBC ßux is calculated as
WBC flux = WBC density ´ WBC velocity
These outcome parameters characterize WBC dynamics in perimacular retinal capillaries in arbitrary units.
One of the most important advantages of the blue Þeld technique is that, in contrast to other techniques available, the blue Þeld technique is largely independent from opaque media. Thus, it has been hypothesized that the blue Þeld technique may be used to predict postoperative macular function in patients undergoing future cataract operation [36]. Several experiments indicate that when the blue Þeld phenomenon is observed by patients, retinal function is intact to a large degree [1, 36]. Thus, the blue Þeld technique was proposed to be applicable for the decision whether surgical intervention may be successful for the patients in terms of the postoperative visual outcome, even if opaque ocular media do not allow funduscopy. It has, however, also been reported that the blue Þeld often fails to detect vision loss caused by macular holes and moderate macular dysfunction [21]. Because of these limitations, the blue Þeld entoptic technique has not become generally accepted as a clinical routine test, although it might provide useful information about retinal function in some patient subgroups.
The blue Þeld entoptic system was one of the Þrst methods that allowed for semiquantitative, noninvasive estimation of retinal blood ßow blood ßow in humans. Thus, the system has been widely used for the investigation of retinal blood
