- •Foreword
- •Preface
- •Contents
- •1.1 Introduction
- •1.2 Method
- •1.2.1 Databases
- •1.2.2 Dates
- •1.2.3 Keywords
- •1.2.4 Criteria for Inclusion
- •1.2.5 Criteria for Exclusion
- •1.2.6 Selection of Papers
- •1.3 Results
- •1.3.1 Subspecialty
- •1.3.2 Type of Telemedicine
- •1.3.3 Study Design
- •1.3.4 Final Conclusions of Papers
- •1.4 Discussion
- •References
- •2.1 Introduction
- •2.2 The Need for Diabetic Retinopathy Screening Programs
- •2.4 Guidelines for Referring Patients
- •2.7 Program Models for Diabetic Retinopathy Screening
- •2.9 Program Personnel and Operations
- •2.9.1 Primary Care Providers
- •2.9.2 Photographers
- •2.9.3 Clinical Consultants
- •2.9.4 Administrators
- •2.9.5 A Note to CEOs, Operations Directors, and Clinic Managers
- •2.10 Policies and Procedures
- •2.10.1 Sample Protocol 1
- •2.10.1.1 Diabetic Retinopathy Screening Services
- •Policy
- •Background
- •Procedure
- •2.10.2 Sample Protocol 2
- •2.10.2.1 Pupil Dilation Before Diabetic Retinopathy Photography
- •Policy
- •Background
- •Procedure
- •2.10.3 Sample Protocol 3
- •2.10.3.1 Diabetic Retinopathy Photography Review
- •Policy
- •Background
- •Procedure
- •2.11 Technical Requirements
- •2.11.1 Connectivity
- •2.11.2 Resolution
- •2.11.3 Color
- •2.11.4 Stereopsis
- •2.11.5 Compression
- •2.11.6 Enhancement
- •2.11.7 Pupil Dilation
- •2.11.8 Early California Telemedicine Initiatives Diabetic Retinopathy Screening
- •2.11.9 The American Indian Diabetes Teleophthalmology Grant Program
- •2.11.10 Central Valley EyePACS Diabetic Retinopathy Screening Project
- •2.12.1 Diabetic Retinopathy
- •2.12.1.1 ADA Guidelines Terms
- •2.12.1.2 Vitrectomy
- •References
- •3: Stereopsis and Teleophthalmology
- •3.1 Introduction
- •3.2 History of Stereopsis and Stereopsis in Ophthalmology
- •3.3 Technology and Photography
- •3.3.3 Imaging Fields
- •3.3.4 Image Viewing Techniques
- •3.3.5 Image Compression
- •3.4 Stereoscopic Teleophthalmology Systems
- •3.4.1 University of Alberta
- •3.4.4 Joslin Vision Network
- •3.5 Conclusion
- •References
- •4.1 Introduction
- •4.2 Methods
- •4.2.1 Main Outcome Measures
- •4.3 Results
- •4.3.1 Retinal Video Recording Versus Retinal Still Photography
- •4.3.2 Video Compression Analysis
- •4.4 Discussion
- •References
- •5.1 Introduction
- •5.1.1 Automated, Remote Image Analysis of Retinal Diseases
- •5.1.2 Telehealth
- •5.2 Design Requirements
- •5.2.1 Telehealth Network Architecture
- •5.2.2 Work Flow
- •5.2.3 Performance Evaluation of the Network
- •5.3 Automated Image Analysis Overview
- •5.3.1 Quality Assessment Module
- •5.3.2 Vascular Tree Segmentation
- •5.3.3 Quality Evaluation
- •5.4 Anatomic Structure Segmentation
- •5.4.1 Optic Nerve Detection
- •5.4.2 Macula
- •5.4.3 Lesion Segmentation
- •5.4.4 Lesion Population Description
- •5.4.5 Image Query
- •5.5 Summary
- •References
- •6.1 Introduction
- •6.3 Optical Coherence Tomography to Detect Leakage
- •References
- •7.1 Introduction
- •7.2 Patients and Methods
- •7.2.1 Participants
- •7.2.2 Methods
- •7.2.3 Statistics
- •7.3 Results
- •7.3.1 Reliability of Image Evaluation
- •7.3.2 Prevalence of Glaucomatous Optic Nerve Atrophy
- •7.4 Discussion
- •7.5 Perspectives
- •References
- •8.1 Introduction
- •8.1.2 Homology Between Retinal and Systemic Microvasculature
- •8.1.3 Need for More Precise CVD Risk Prediction
- •8.2.1 Retinal Microvascular Signs
- •8.2.2 Retinal Vessel Biometry
- •8.2.3 Newer Retinal Imaging for Morphologic Features of Retinal Vasculature
- •8.3 Associations of Retinal Imaging and CVD Risk
- •8.3.1.1 Risk of Pre-clinical CVD
- •8.3.1.2 Risk of Stroke
- •8.3.1.3 Risk of Coronary Heart Disease
- •8.3.2.1 Risk of Hypertension
- •8.3.2.2 Risk of Stroke
- •8.3.2.3 Risk of Coronary Heart Disease
- •8.3.2.4 Risk of Peripheral Artery Disease
- •8.3.3 Newer Morphologic Features of Retinal Vasculature
- •8.4 Retinal Imaging and Its Potential as a Tool for CVD Risk Prediction
- •References
- •9.1 Alzheimer’s Disease
- •9.2 Treatments
- •9.3 Diagnosis
- •9.6 Conclusions
- •References
- •10.1 Introduction
- •10.1.1 Stroke
- •10.1.2 Heart Disease
- •10.1.3 Arteriovenous Ratio
- •10.2 Purpose
- •10.3 Method
- •10.3.1 Medical Approach
- •10.3.2 Technical Approach
- •10.3.3 Output of Medical Data
- •10.4 Patients
- •10.5 Results
- •10.5.1 Medical History
- •10.5.2 Telemedical Evaluation of Retinal Vessels
- •10.5.2.1 Prevalence of Retinal Microangiopathy
- •10.5.2.2 Arteriovenous Ratio
- •10.5.2.3 PROCAM-Index
- •10.6 Discussion and Perceptive
- •10.6.1 Estimation of “Stroke Risk” Estimated by the Stage of Retinal Microangiopathy
- •References
- •11.1 Introduction
- •11.2 System Requirements
- •11.3 Fundus Camera
- •11.4 Imaging Procedure
- •11.4.1 Reading Center Procedure
- •11.5 Detection of Macular Edema
- •11.6 Implementation
- •11.7 Unreadable Images
- •11.7.1 Impact on Overall Diabetic Retinopathy Assessment Rates
- •11.7.2 Compliance with Recommendations
- •11.7.3 Challenges
- •11.7.4 Summary
- •References
- •12.1 Screening
- •12.2 Background
- •12.3 Historical Perspective in England
- •12.4 Methodology
- •12.4.1 The Aim of the Programme
- •12.5 Systematic DR Screening
- •12.6 Cameras for Use in the English Screening Programme
- •12.7 Software for Use in the English Screening Programme
- •12.9 Implementation in England
- •12.11 Quality Assurance
- •12.12 The Development of External Quality Assurance in the English Screening Programme
- •12.13 Information Technology (IT) Developments for the English Screening Programme
- •12.14 Dataset Development
- •12.15 The Development of External Quality Assurance Test Set for the English Screening Programme
- •12.16 Failsafe
- •12.17 The Epidemic of Diabetes
- •References
- •13.1 Introduction
- •13.2 Burden of Diabetes and Diabetic Retinopathy in India
- •13.3 Diabetic Retinopathy Screening Models
- •13.4 Need for Telescreening
- •13.5 Guidelines for Telescreening
- •13.6 ATA Categories of DR Telescreening Validation
- •13.7 Yield of Diabetic Retinopathy in a Telescreening Model
- •13.8 How Are Images Transferred
- •13.10 How Many Fields Are Enough for Diabetic Retinopathy Screening
- •13.11 Is Mydriasis Needed While Using Nonmydriatic Camera?
- •13.12 Validation Studies on Telescreening
- •13.12.1 Accuracy of Telescreening
- •13.12.2 Patient Satisfaction in Telescreening
- •13.12.3 Cost Effectivity
- •13.12.4 Telescreening for Diabetic Retinopathy: Our Experience
- •13.13 Future of Diabetic Retinopathy Screening
- •References
- •14.1 Introduction
- •14.2 Methods
- •14.3 Discussion
- •14.4 Conclusion
- •References
- •15.1 Introduction
- •15.1.1 Description of the EADRSI
- •15.5 State Support of Screening in the Safety Net
- •15.7 Screening Economics for Providers
- •15.8 Patient Sensitivity to Fees
- •15.9 Conclusion
- •References
- •16.1 Introduction
- •16.2 Setting Up the New Screening Model
- •16.2.1 Phase 1: Training
- •16.2.2 Phase 2: Evaluation of Agreement
- •16.2.3 Phase 3: Implementation of the Screening Model
- •16.3 Technologic Requirements
- •16.3.1 Data Management
- •16.3.2 Data Models
- •16.3.2.1 Data Scheme for Patient-Related Information
- •16.3.2.2 Data Scheme for Images
- •Fundus Camera VISUCAM Pro NM
- •PACS Server
- •ClearCanvas DICOM Visualizer
- •16.4 Results
- •16.4.1 Phase 2: Agreement Evaluation
- •16.4.2 Phase 3: Implementation of the Screening Model
- •16.5 Discussion
- •16.5.1 Evaluation of the Screening Model
- •16.5.2 Prevalence of DR
- •16.5.3 Quality Evaluation
- •16.6 Conclusion
- •References
- •17.1.3 Examination and Treatment
- •17.1.4 Limitations of Current Care
- •17.2 Telemedicine and ROP
- •17.2.2 Accuracy and Reliability of Telemedicine for ROP Diagnosis
- •17.2.3 Operational ROP Telemedicine Systems
- •17.2.4 Potential Barriers
- •17.3 Closing Remarks
- •17.3.1 Future Directions
- •References
- •18.1 Introduction
- •18.2 Neonatal Stress and Pain
- •18.3 ROP Screening Technique
- •18.4 Effect of Different Examination Techniques on Stress
- •18.5 Future of Retinal Imaging in Babies
- •References
- •19.1 Introduction
- •19.2 History of the Program
- •19.3 Telehealth Technologies
- •19.4 Impact of the Program
- •Selected References
- •Preamble
- •Introduction
- •Background
- •The Diabetic Retinopathy Study (DRS)
- •Mission
- •Vision
- •Goals
- •Guiding Principles
- •Ethics
- •Clinical Validation
- •Category 1
- •Category 2
- •Category 3
- •Category 4
- •Communication
- •Medical Care Supervision
- •Patient Care Coordinator
- •Image Acquisition
- •Image Review and Evaluation
- •Information Systems
- •Interoperability
- •Image Acquisition
- •Compression
- •Data Communication and Transmission
- •Computer Display
- •Archiving and Retrieval
- •Security
- •Reliability and Redundancy
- •Documentation
- •Image Analysis
- •Legal Requirements
- •Facility Accreditation
- •Privileging and Credentialing
- •Stark Act and Self-referrals
- •State Medical Practice Acts/Licensure
- •Tort Liability
- •Duty
- •Standards of Care
- •Consent
- •Quality Control
- •Operations
- •Customer Support
- •Originating Site
- •Transmission
- •Distant Site
- •Financial Factors
- •Reimbursement
- •Grants
- •Federal Programs
- •Other Financial Factors
- •Equipment Cost
- •Summary
- •Abbreviations
- •Appendices
- •Appendix A: Interoperability
- •Appendix B: DICOM Metadata
- •Appendix C: Computer-Aided Detection
- •Appendix D: Health Insurance Portability and Accountability Act (HIPAA)
- •Appendix F: Quality Control
- •Appendix H: Customer Support
- •Level 1
- •Level 2
- •Level 3
- •Appendix I: Reimbursement
- •Medicare
- •Medicaid
- •Commercial Insurance Carrier Reimbursement
- •Other Financial Factors
- •Disease Prevention
- •Resource Utilization
- •American Telemedicine Association’s Telehealth Practice Recommendations for Diabetic Retinopathy
- •Conclusion
- •References
- •Contributors
- •Second Edition
- •First Edition
- •Index
8 Retinal Vascular Imaging for Cardiovascular Risk Prediction |
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patients. Whilst there are methods to adjust for difference in measurement using ocular biometric data (e.g. refractive power and axial length) [55], most were designed for telecentric cameras. For non-telecentric cameras, Rudnicka and colleagues [56] have described a method to adjust for magnification using film-based photographs, but it is not well investigated for digital fundus images. Further studies defining normal range are crucial for a clinical risk prediction model.
To account for magnification effects and allow for comparison of measurements of retinal vessel calibre changes between individuals and between studies, AVR has been mainly used in earlier studies [50, 53]. However, AVR has a significant limitation that it cannot distinguish whether it represents ‘arteriolar narrowing’ or ‘venular dilation’. There have been accumulated observations that different systemic diseases or conditions appear to be associated with specific calibre changes in arterioles and venules respectively. Whilst smaller retinal arteriolar calibre is associated with hypertension and may even precede clinical hypertension development, larger retinal venular calibre has been associated with inflammation, smoking, hyperglycaemia, obesity and dyslipidemia. These observations suggest that changes in retinal arteriolar and venular calibre may reflect different aspect of pathophysiological processes underlying the associated systemic diseases. Therefore, combining these two components into one estimate of the AVR without consideration of separate arteriolar or venular calibre measurements would therefore lose this important information.
8.2.3Newer Retinal Imaging for Morphologic Features of Retinal Vasculature
There are newer imaging for morphological or geometrical retinal vascular features [55], including parameters to quantify retinal vascular fractal dimension (Fig. 8.2) [57, 58], retinal vascular tortuosity and branching angles and patterns [59], promising to predict CVD risk. These parameters have a potential to represent abnormal haemodynamic state of microvasculature because our vascular system is under constant remodelling
adopting for changing environment (e.g. change in blood pressure, velocity, viscosity). This adaptation process might result in change in vessel morphology such as calibre, tortuosity and branching patterns, which are thought to be secondary to provide information on subtle but global changes in vascular physiology or vascular health in whole body [60]. These vascular parameters may be a sensitive marker for the early prediction of CVD [61].
8.3Associations of Retinal Imaging and CVD Risk
8.3.1Retinal Microvascular Signs
(Table 8.1)
8.3.1.1 Risk of Pre-clinical CVD
Studies suggest that retinal vascular signs are associated with presence of subclinical or pre-clinical CVD. For example, in the ARIC study, increased carotid artery intima-media wall thickness was positively associated with severity of retinopathy (10% more likely to have more severe retinopathy per 0.1-mm thickness) independent of diabetes duration, glucose and blood pressure [62].
8.3.1.2 Risk of Stroke
There is substantial evidenced that retinal microvascular signs are associated with presence and risk of clinical stroke. In the ARIC study [63], persons with retinopathy signs at baseline were two to three times more likely to have incident stroke over 3.5 years. Presence of arterio-venous nicking was also associated with 60% higher risk of stroke independent of conventional stroke risk factors. In the same study, persons with both retinopathy and white matter lesions (WML) in the brain (an ischaemic complications of cerebral microvascular disease) had 18 times higher risk of incident stroke than those without either retinopathy or WMLs [36]. In persons with diabetes, diabetic retinopathy was associated with twofold increased risk of ischaemic stroke over 8 years independent of conventional stroke risk factors [16]. In the Blue Mountains Eye Study (BMES) [64], stroke events were more frequently found in persons with retinopathy (5.7%), with
82 R. Kawasaki and T.Y. Wong
a b
c |
d |
Fig. 8.2 Fractal dimensions of the retinal vascular patterns in the area surrounding the optic disc. (a) Original retinal image of image B. (b) Vessel identified from image
A (fractal dimensions = 1.50). (c) Original retinal image of image D. (d) Vessel identified from image C (fractal dimensions = 1.46)
moderate/severe arterio-venous nicking (4.2%), or with focal arteriolar narrowing (7.2%), compared with those without retinopathy (1.9%) over 7 years follow-up. After adjusting for stroke risk factors, presence of retinopathy was significantly associated with 1.7-fold increased risk of stroke in non-diabetic population. Interestingly, this association was stronger in those without severe hypertension (relative risk of 2.7) or in persons with multiple retinal microvascular signs (relative risk of 2.7). Focal arteriolar narrowing or
arterio-venous nicking was not independently associated with combined stroke events after adjustment for stroke risks.
8.3.1.3 Risk of Coronary Heart Disease
There is less consistent data regarding a strong relationship between retinal microvascular signs and risk of coronary heart disease (CHD). In the LipidResearchClinic’sCoronaryPrimaryPrevention Trial [65], a cohort study of middle-aged men
8 Retinal Vascular Imaging for Cardiovascular Risk Prediction |
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Table 8.1 Retinopathy/retinal microvascular signs and cardiovascular diseases |
|
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Study |
Sample characteristics |
CVD outcomes |
Associationsa |
Retinopathy |
|
|
|
ARIC |
General population |
Stroke |
+++ |
|
With cerebral white matter lesions |
Stroke |
++++ |
|
General population |
CHF |
++ |
|
Hypertensive, diabetic, CHD |
CHF |
+++ |
BMES |
General population |
Stroke/TIA |
+++ |
|
Non-diabetic population |
Stroke/TIA |
+ |
|
Non-diabetic, non-hypertensive |
Stroke/TIA |
++++ |
CPPT |
Hypertensive, hyperlipidemic |
CHD |
+++ |
BDES |
Non-diabetic population |
All cause and CHD mortality |
++ |
Diabetic retinopathy |
|
|
|
ARIC |
Diabetic population |
Sub-clinical CVD |
+ |
|
|
Stroke |
++ |
|
|
CHD |
+++ |
Arterio-venous nicking |
|
|
|
ARIC |
General population |
Stroke |
++ |
Focal arteriolar narrowing |
|
|
|
BMES |
General population |
Stroke/TIA |
+++ |
|
Non-diabetic population |
Stroke/TIA |
+ |
|
Non-diabetic, non-hypertensive |
Stroke/TIA |
++++ |
CPPT |
Hypertensive, hyperlipidemic |
CHD |
+++ |
WESDR |
Diabetic population |
Lower extremity amputations |
+++ |
aStrength of association: <1.5 (+), 1.5–2.0 (++), 2.0–5.0 (+++), 5> (++++)
ARIC Atherosclerosis Risk in Communities study, BMES Blue Mountains Eye Study, CPPT The Lipid Research Clinic’s Coronary Primary Prevention Trial, BDES Beaver Dam Eye Study, WESDR Wisconsin Epidemiologic Study of Diabetic Retinopathy, TIA transient ischaemic attack, CVD cardiovascular disease, CHF congestive heart failure, CHD coronary heart disease, NS not significant
with hypertension and hyperlipidemia, the presence of retinopathy was associated with twofold risk of CHD, and presence of either generalized or focal arteriolar narrowing was associated with threefold increased risk of CHD. In the Beaver Dam Eye Study (BDES) [66], non-diabetic adults with retinal haemorrhages had 2.4 times higher risk of ischaemic heart disease mortality in 5 years; presence of moderate retinopathy was associated with threefold higher risk of mortality from ischaemic heart disease in 14 years of fol- low-up. In the ARIC study [67], persons with retinopathy had a twofold higher risk of incidence of chronic heart failure compared with those without retinopathy, independent of conventional cardiovascular risk factors. In persons with type 2 diabetes in the ARIC study [68], presence of diabetic retinopathy was associated with twofold increased risk of incident CHD over 8 years and threefold increased risk of
mortality from CHD independent of other cardiovascular risk factors.
8.3.2Retinal Vessel Biometry
(Table 8.2)
8.3.2.1 Risk of Hypertension
The BDES has reported that persons with hypertension have more retinal arteriolar abnormalities [69] and more likely to develop over 5 years [70] compared to those without hypertension. Retinal arteriolar narrowing has long been regarded as an early sign of hypertension secondary to chronic exposure to increased blood pressure [71–73] and is inversely related to higher blood pressure levels [74]. This finding subsequently confirmed in multiple population-based studies [75–78]. In addition, recent epidemiologic studies have demonstrated that retinal artery narrowing is not
84 |
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R. Kawasaki and T.Y. Wong |
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Table 8.2 Associations of retinal vessel calibres and cardiovascular diseases |
|
||
Study |
Sample characteristics |
CVD outcomes |
Associationsa |
Generalized arteriolar narrowing |
|
|
|
ARIC |
General population |
Stroke |
+ |
|
Hypertensive with diabetes |
Stroke |
+ |
|
Hypertensive without diabetes |
Stroke |
+ |
CHS |
General population |
CHD |
++ |
BMES |
General population £75 years |
CHD mortality |
+ |
ARIC |
General population, women |
CHD |
+ |
|
|
Acute myocardial infarction |
++ |
BMES + BDES |
General population |
CHD mortality |
+ |
|
General population, <70 years |
CHD mortality |
++ |
WESDR |
Diabetic population |
All cause mortality |
+ |
|
|
Stroke mortality |
+ |
|
|
Lower extremity amputations |
++ |
Venular widening |
|
|
|
CHS |
General population |
Stroke |
+++ |
CHS |
General population |
CHD |
+++ |
BMES |
General population £75 years |
CHD mortality |
++ |
BMES + BDES |
General population |
CHD mortality |
+ |
|
General population, <70 years |
CHD mortality |
++ |
RSS |
General population |
Peri-ventricular white matter lesion |
++ |
|
|
Sub-cortical white matter lesion |
++ |
RS |
General population |
Stroke |
+ |
|
|
Cerebral infarction |
+ |
WESDR |
Diabetic population |
Stroke mortality |
++ |
aStrength of association: <1.5 (+), 1.5–2.0 (++), 2.0–5.0 (+++)
ARIC Atherosclerosis Risk in Communities study, BMES Blue Mountains Eye Study, CHS Cardiovascular Health Study, BDES Beaver Dam Eye Study, WESDR Wisconsin Epidemiologic Study of Diabetic Retinopathy, RS Rotterdam study, RSS Rotterdam scan study, TIA transient ischaemic attack, CVD cardiovascular disease, CHD coronary heart disease, NS not significant
only reflecting a chronic exposure to hypertension as a result, but is antecedent of developing hypertension. Hypothesis underneath is that primary feature of essential hypertension is increased peripheral vascular resistance in small vessels elsewhere in the body, and this might be observed in retinal microvasculature as well. In longitudinal epidemiologic studies, it has been shown that change in retinal vessel calibre provided the first prospective clinical evidence showing that narrower arteriolar calibre preceded the development of clinical hypertension and was not purely a secondary response to established hypertension [79]. Subsequent studies such as the BMES have since demonstrated that retinal arteriolar narrowing precedes by years the development of hypertension in initially persons with normal blood pressure level [80, 81].
8.3.2.2 Risk of Stroke
There is now good evidence that narrower retinal arteriolar calibre as well as wider retinal venular calibre is associated with stroke and other cerebrovascular diseases. In the ARIC study, smaller retinal AVR was reported to be associated with increased risk of stroke [63]. This association was confirmed in the CHS [82], but persons with larger retinal venular calibre were also more likely to have a higher incidence of stroke compared to persons with smaller retinal venular calibre. The association of stroke with wider retinal venular calibre further confirmed in the Rotterdam study [83] where larger venular diameters were also associated with 12% higher risk of stroke and 15% higher risk of cerebral infarction, whilst retinal arteriolar narrowing was neither related to the risk of stroke nor to the risk of cerebral
