- •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
10 Screening the Retina for Heart Disease/Stroke (talkingeyes®) |
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microangiopathic abnormalities and the optic nerve [10, 11]. A total of 6.999 volunteers took part in the ongoing study from August 2007 until January 2010. This population consisted of 3,275 women and 3,717 men. The mean age of the population was 54.2 years with a standard deviation of 15.9 years. The participants were recruited from private medical institutions. There were no inclusion or exclusion criteria, and volunteers were examined on a first come first serve basis. The examinations took place in the private practice area of cooperating physicians with mobile digital fundus cameras.
The study was conducted in accordance with the Declaration of Helsinki on Biomedical Research Involving Human Subjects. The Clinical Investigation Ethics Committee of the University of Erlangen-Nürnberg approved the study protocol. Written informed consent was obtained from all participants.
10.5Results
10.5.1 Medical History
The average systolic/diastolic arterial blood pressure was reported with 132/82 mmHg in average; the mean body mass index was 27.5 ± 6.7 kg/cm2. 13.6% of the examined subjects were smokers. The prevalences of reported systemic diseases in percent of the whole group were arterial hypertension in 40%, angina pectoris in 8.2%, diabetes in 11.1%, stroke in 2.9%, and cardiac infarction in 3.0%. Table 10.1 gives the numbers separated for male and female subjects.
10.5.2Telemedical Evaluation of Retinal Vessels
10.5.2.1 Prevalence of Retinal Microangiopathy
We found focal narrowing in 28.1%, generalized narrowing in 26.6%, dilated veins in 19.0%, arteriovenous crossings in 9.0%, tortuositas vasorum in 8.2%, retinal bleedings in 0.9%, microaneurysm in 0.5%, and retinal microinfarcts in 0.4% of all evaluated patients. Most
10.1 Reported prevalence |
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Arterial |
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|
Heart |
|
hyperten- |
|
|
infarction |
Stroke |
sion |
Diabetes |
Male (%) |
4.6 |
3.2 |
41.6 |
13.1 |
Female (%) |
1.2 |
2.6 |
38.4 |
8.9 |
frequently, focal narrowing of the retinal arteries was observed. Very seldom retinal microinfarctions (0.4%) or microaneurysms (0.5%) were noticed.
10.5.2.2 Arteriovenous Ratio
Mean arteriovenous ratio indicating the diameter of retinal arterioles in relation to the diameter of retinal veins was 0.82 ± 0.09. The arteriovenous ratio decreased significantly with age and with degree of retinal microangiopathy. Figure 10.6 shows the percentiles of the mean AV ratio of OD and OS as a function of age. Figure 10.7 depicts the mean of AV ratio of OD and OS as a function of the degree of retinal microangiopathy.
10.5.2.3 PROCAM-Index
The mean PROCAM-index was 4.9 ± 9.9% in male subjects and 1.9 ± 6.9% in female subjects. In 2% of patients, we found PROCAM-values >5%, indicating a high risk for cardiovascular events within the next 10 years. With increasing microangiopathic alterations of retinal vessels, the percentage of subjects with a high vascular heart risk (PROCAM-index >5%) increased significantly. Figure 10.8 showed the prevalence of patients with a high PROCAM-index in relation to the degree of retinal microangiopathy.
In 55 out of 6,999 patients (0.8%), we found relevant retinal microangiopathic changes (e.g., retinal bleedings or microaneurysms or retinal infarcts) and simultaneously a PROCAM-index indicating no or a small vascular heart risk.
10.6Discussion and Perceptive
It is validated that the caliber of the retinal vessels is associated with stroke and cardiovascular events.
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G. Michelson and M. Laser |
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AV ratio in quintiles as a function of age
0.96
0.94
0.92
0.90
0.88
0.86
0.84
0.82
0.80
0.78
0.76
0.74
0.72
0.70
2 |
3 |
4 |
5 |
6 |
7 |
8 |
Age in decades
Mean
1.Quintile (20%)
2.Quintile (40%)
3.Quintile (60%)
4.Quintile (80%)
Fig. 10.6 Percentiles of the AV ratio as a function of age. With increasing age, the AV ratio decreases significantly
10.6.1Estimation of “Stroke Risk” Estimated by the Stage of Retinal Microangiopathy
According to ARIC studies [4], the incident stroke risk within 3 years is coupled with the degree of retinal microangiopathy. Thus, we calculated the 3-year stroke risk prevalence as a function of visible retinal microangiopathic changes. In our study, 97% of the examined subjects have a 3-year risk of “incident stroke” of lower than 2%, 0.8% of the examined subjects have a 3-year risk of “incident stroke” of between 2% and 5%, and 0.5% of the examined subjects have a 3-year risk of “incident stroke” of higher
than 2%. We found that in patients with AV crossing, retinal bleedings, microaneurysms, or microinfarcts, the prevalence of reported stroke or heart infarction was increased by a factor of 10, compared to patients with no relevant retinal signs.
Interdisciplinary prevention of vascular diseases might become very important to reduce the number of patients with manifest stroke or heart infarction. It was evidenced that one-third of chronic vascular diseases like diabetes, stroke, heart infarction, dementia, macular degeneration, and others are preventable by appropriate weight, no smoking, moderate alcohol consumption, sufficient exercise, and normal blood pressure and
10 Screening the Retina for Heart Disease/Stroke (talkingeyes®) |
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Arteriovenous ratio as a function of retinal findings
Anteriovenous ratio (mean OD & OS)
R2 Linear = 0.08
1.500
1.400
1.300
1.200
1.100
1.000
0.900
0.800
0.700
0.600
0.500
0.400
0.300
0.200
0.0 |
2.0 |
4.0 |
6.0 |
Stage of retinal microangiopathy
Fig. 10.7 Arteriovenous ratio decreases with increasing degree of retinal microangiopathy. Increasing retinal alteration was significantly coupled with decreasing arteriovenous ratio (R2 = 0.28, p < 0.001) (R2 = 0.25, p < 0.001)
blood sugar. For the prevention of vascular diseases, it is necessary to detect early signs to begin early treatment.
In our opinion, a successful vascular screening program should consist of measuring indicators like the condition of retinal microvessels, blood pressure, body mass index, smoking, alcohol consumption, and blood markers. These factors provide important information to predict vascular health. The observation of retinal microangiopathy in a patient should be regarded as a sign of an altered microcirculation in end organs. Thus, evaluation of the retinal vessels in patients visiting general practitioners by a tele- medicine-based, on-site screening system might be a very efficient tool to find cases with an increased vascular risk.
Our approach, named “talkingeyes®,” consists of (1) on-site photography of the retina by a nonmydriatic fundus camera, (2) a telemedicinebased evaluation of retinal vessels and optic nerve by eye doctors, (3) an automated generation of an individual medical report, and (4) a follow-up of high-risk patients.
We found that patients with retinal microangiopathy showed a higher prevalence of reported stroke and heart infarction.
In about 1% of the group, we detected patients with severe microangiopathy and no increased PROCAM-risk. These patients might need a more intensive internal therapy to reduce the stroke probability.
The web-based documentation system used in this program allowed a prospective, standardized
