- •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
13 Telescreening for Diabetic Retinopathy in South India |
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This was the actual cost involved per case taking into account the capital investment and management costs. The gross cost was estimated to be $79.5 (Rs. 3,600) for the base hospital and $37.3 (Rs. 1,680) for telescreening [29]. In a real-life situation, in our experience, the cost for telescreening for DR in Karnataka was $3.78.
13.12.4Telescreening for Diabetic Retinopathy: Our Experience
Tamil Nadu: We compared the prevalence of diabetic retinopathy in the ophthalmologist-based vs ophthalmologist-led models on different samples of self-reported people with diabetes in rural South India. From 2004 to 2005 in rural South India, 3,522 diabetics underwent the ophthalmol- ogist-based diabetic retinopathy screening, and 4,456 diabetics underwent the ophthalmologistled (telescreening) diabetic retinopathy screening. 519 (14.7%) were diagnosed with diabetic retinopathy in the ophthalmologist-based model and 853 (19.1%) in the ophthalmologist-led model (p < 0.0001). Similarly, the ophthalmolo- gist-led model had more sight-threatening retinopathies than the ophthalmologist-based model (6.3% vs 5%).
The ophthalmologist-led model overestimates diabetic retinopathy. However, as it obviates the need for travel by ophthalmologist, it is a good method for diabetic retinopathy screening in India.
Karnataka: Till now, nearly 60,000 diabetics have been screened for retinopathy, and approximately 5,000 sight-threatening diseases have been identified and treated.
13.13Future of Diabetic Retinopathy Screening
The advancements expected in telescreening in the future include:
•Miniaturization of diagnostic equipments
•Automation of diabetic retinopathy diagnosis
•Better and faster telecommunication Telescreening is advantageous for diabetic
retinopathy screening among the rural population
who do not have access to specialized eye care. The telescreening model can be considered as an efficient screening model for diabetic retinopathy as it satisfies all the criteria required for a good screening program.
References
1. King H, Aubert RE, Herman WH (1998) Global burden of diabetes, 1995–2025: prevalence, numerical estimates, and projections. Diabetes Care 21:1414–1431
2. Wild S, Roglic G, Green A et al (2004) Global prevalence of diabetes: estimates for the year 2000 and projections for 2030. Diabetes Care 27(5):1047–1053
3.King H, Aubert RE, Herman WH (1998) Global burden of diabetes, 1995-2025: prevalence, numerical estimates, and projections. Diabetes Care 21(9):1414–1431
4.Raman R, Rani PK, Reddi Rachepalle S, Gnanamoorthy P, Uthra S, Kumaramanickavel G, Sharma T (2009) Prevalence of diabetic retinopathy in
India: Sankara Nethralaya Diabetic Retinopathy Epidemiology and Molecular Genetics Study report 2. Ophthalmology 116:311–318
5. Rani PK, Raman R, Chandrakantan A, Pal SS, Perumal GM, Sharma T (2009) Risk factors for diabetic retinopathy in self-reported rural population with diabetes. J Postgrad Med 55(2):92–96
6.Murdoch I (1999) Telemedicine. Br J Ophthalmol 83(11):1254–1256
7.Cavallerano J, Lawrence MG, Zimmer-Galler I, Bauman W, Bursell S, Gardner WK, et al. American Telemedicine Association, Ocular Telehealth Special Interest Group; National Institute of Standards and Technology Working Group (2004) Telehealth practice recommendations for diabetic retinopathy. Telemed J E Health 10(4):469–482. Review.
8.Lamminen H, Voipio V, Ruohonen K, Uusitalo H (2003) Telemedicine in ophthalmology. Acta Ophthalmol Scand 81(2):105–109
9. Fransen SR, Leonard-Martin TC, Feuer WJ et al (2002) Clinical evaluation of patients with diabetic retinopathy: accuracy of the Inoveon diabetic retinopathy 3-DT system. Ophthalmology 109:595–601
10.Bursell SE, Cavallerano JD, Cavallerano AA et al (2001) Stereo nonmydriatic digital-video color retinal imaging compared with Early Treatment Diabetic Retinopathy Study seven standard field 35-mm stereo color photos for determining level of diabetic retin-
opathy. Ophthalmology 108:572–585
11. Zeimer R, Zou S, Meeder T et al (2002) A fundus camera dedicated to the screening of diabetic retinopathy in the primary-care physician’s office. Invest Ophthalmol Vis Sci 43:1581–1587
12. Lin DY, Blumenkranz MS, Brothers RJ et al (2002) The sensitivity and specificity of single-field nonmydriatic monochromatic digital fundus photography with remote interpretation for diabetic retinopathy
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screening: a comparison with ophthalmoscopy and standardized mydriatic color photography. Am J Ophthalmol 134:204–213
13. Raman R, Rani PK, Mahajan S, Paul P, Gnanamoorthy P, Krishna MS, Sharma T (2007) The tele-screening model for diabetic retinopathy: evaluating the influence of mydriasis on the gradability of a single-field 45 degrees digital fundus image. Telemed J E Health 13(5):597–602
14. Kawasaki S, Ito S, Satoh S et al (2003) Use of telemedicine in periodic screening of diabetic retinopathy. Telemed J E Health 9(3):235–239
15. Tennant MT, Greve MD, Rudnisky CJ et al (2001) Identification of diabetic retinopathy by stereoscopic digital imaging via teleophthalmology: a comparison to slide film. Can J Ophthalmol 36(4):187–196
16. Liesenfeld B, Kohner E, Piehlmeier W et al (2000) A telemedical approach to the screening of diabetic retinopathy: digital fundus photography. Diabetes Care 23(3):345–348
17.Raman R, Mahajan S, Padmaja RK, Agarwal S, Gnanamoorthy P, Paul PG et al (2005) Tele-health program for diabetic retinopathy in rural South India: a pilot study. E-Health Int J 2:13–18
18.Padmaja RK, Raman R, Manikandan M, Mahajan S, Paul GP, Sharma T (2006) Patient satisfaction with tele-ophthalmology versus ophthalmologist-based screening in diabetic retinopathy. J Telemed Telecare 12:159–160
19. Paul PG, Raman R, Rani PK, Deshmukh H, Sharma T (2006) Patient satisfaction levels during teleophthalmology consultation in rural South India. Telemed J E Health 12(5):571–578
20. Lairson DR, Pugh JA, Kapadia AS et al (1992) Costeffectiveness of alternative methods for diabetic retinopathy screening. Diabetes Care 15(10):1369–1377
21.Maberley D, Walker H, Koushik A, Cruess A (2003) Screening for diabetic retinopathy in James Bay, Ontario: a cost-effectiveness analysis. CMAJ 168(2):160–164
22.Ackerman SJ (1992) Benefits of preventive programs in eye care are visible on the bottom line. A new nationwide effort to improve eye care for people with diabetes gets backing from a study on the cost-effec- tiveness of screening for retinopathy. Diabetes Care 15(4):580–581
23.Javitt JC, Aiello LP (1996) Cost-effectiveness of detecting and treating diabetic retinopathy. Ann Intern Med 124(1 Pt 2):164–169
24.Javitt JC, Canner JK, Sommer A (1989) Cost effectiveness of current approaches to the control of retinopathy in type I diabetics. Ophthalmology 96(2):255–264
25. Javitt JC, Canner JK, Frank RG et al (1990) Detecting and treating retinopathy in patients with type I diabetes mellitus. A health policy model. Ophthalmology 97(4):483–494; discussion 94–95
26. Javitt JC, Aiello LP, Bassi LJ et al (1991) Detecting and treating retinopathy in patients with type I diabetes mellitus. Savings associated with improved implementation of current guidelines. American Academy of Ophthalmology. Ophthalmology 98(10):1565– 1573; discussion 74
27. Javitt JC, Aiello LP, Chiang Y et al (1994) Preventive eye care in people with diabetes is cost-saving to the federal government. Implications for health-care reform. Diabetes Care 17(8):909–917
28.Javitt JC (1995) Cost savings associated with detection and treatment of diabetic eye disease. Pharmacoeconomics 8(Suppl 1):33–39
29. Sudhir RR, Frick Kevin D, Raman R, Padmaja RK, Murali V, Sharma T (2005) Mobile teleophthalmology: a cost effective screening tool for diabetic retinopathy in rural South India. E-Health Int J 1:2–8
First Experience with |
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Teleophthalmology in Rural Nepal |
J. Niklas Ulrich
14.1Introduction
Nepal is among the poorest countries in the world. It is situated along the Himalayan mountain range, wedged in between India and China with a population of about 30 million. Given the ruggedness of the terrain and the lack of infrastructure, traveling across the country is extremely cumbersome.
There are approximately 90 ophthalmologists in Nepal, most of which are located in Kathmandu, the capital. There are several teaching hospitals with residency programs in Kathmandu, and all subspecialty services and modern technology are readily available.
In contrast, patients in rural Nepal are dependent on primary eye care centers which are usually staffed by general ophthalmologists who provide comprehensive medical care and in some cases cataract and oculoplastic surgery. However, access to subspecialists, especially vitreoretinal surgeons, is very limited and usually requires substantial traveling to Kathmandu.
The use of telemedicine with transmission of fundus images from rural clinics to a subspecialist in Kathmandu or internationally could substantially improve patient care and limit unnecessary and time-consuming referrals to the capital.
J.N. Ulrich, M.D.
Department of Ophthalmology,
University of North Carolina at Chapel Hill, 5151 Bioinformatics Building, CB7040, Chapel Hill, NC 27599, USA
e-mail: jnulrich@med.unc.edu
There are a few reports on the use of telemedicine in ophthalmology from India [1] and China [2], but to our knowledge, telemedicine in ophthalmology has never been utilized in Nepal.
This chapter describes our experiences with testing the feasibility of telemedicine in rural Nepal and the encountered difficulties.
14.2Methods
In March of 2008, two eye-screening camps were held in rural Nepal. This was organized by Tilganga Eye Center, one of the leading academic eye hospitals in Kathmandu. The team consisted of several Nepali and Thai ophthalmologists, multiple Nepali ophthalmic technicians, as well as an American retina specialists, ophthalmology resident, and ophthalmic photographer. Subjects from Hetauda, a town in the southern flatlands, and Phaplu, a remote village in the mountainous north, had been informed about the free eye exams through radio and posters.
In Hetauda and Phaplu, 259 and 195 subjects, respectively, were examined. All subjects underwent comprehensive ophthalmic exams including dilated fundus exams by a retina specialist. The results in regard to prevalence of diabetic retinopathy and age-related macular degeneration have been published previously [3].
Fundus photos of all patients with significant retinal pathology were taken using a Nidak-AFC 230® nonmydriatic fundus camera (Fig. 14.1) – a
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Fig. 14.1 Nidak-AFC 230® nonmydriatic fundus camera
Fig. 14.2 Sample fundus photo from Hetauda – drusen |
Fig. 14.3 Sample fundus photo from Hetauda – exudative |
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macular degeneration |
