- •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
Diabetic Retinopathy Screening |
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Practice Guide |
Jorge Cuadros and Christine Martin
2.1Introduction
The materials in this chapter are derived from the California Telehealth and eHealth Center’s Diabetic Retinopathy Screening Practice Guide [2] and the EyePACS Handbook [3]. By far, the most common use of telemedicine in eye care is detection of diabetic retinopathy using asynchronous or store-and-forward (SAF) telemedicine. This has proven to be a viable and less expensive alternative to real-time telemedicine in ophthalmology and has been increasingly used for diabetic retinopathy screening for nearly two decades. Thousands of sites across the United States are now performing diabetic retinopathy screening remotely via several varieties of SAF.
J. Cuadros, O.D., Ph.D. ( ) Department of Informatics Research,
Clinical Research Center, Berkeley Optometry, University of California,
Berkeley, CA, USA
e-mail: jcuadros@berkeley.edu
C. Martin, M.T., M.B.A., PMP
California Telemedicine & eHealth Center,
Sacramento, CA, USA
2.2The Need for Diabetic Retinopathy Screening Programs
Diabetic retinopathy (DR) is a microvascular complication of diabetes where leakage and blockage of small vessels in the retina cause swelling of retinal tissue, abnormal blood vessel growth, cell death, and retinal detachments. DR is the leading cause of blindness among working age adults in the United States. Vision loss can be prevented in most cases by performing retinal laser photocoagulation in a timely manner [4]. Although early detection and treatment of sightthreatening DR can prevent blinding complications, less than half of all diabetics receive recommended yearly eye examinations [5].
Primary health-care providers have traditionally referred their patients to eye care providers for the annual diabetic retinal exam. Patients often fail to visit referred eye care providers for timely eye exams because of geographic, social, economic, and other barriers. Failed visits lead to preventable complications, including blindness from diabetes, glaucoma, and other diseases. DRS via telemedicine can effectively detect sight-threatening DR in the primary care setting and can often detect other previously undetected diseases, but it does not yet take the place of a comprehensive eye examination. Problems such as cataracts and refractive errors have not been proven to be adequately assessed via DRS; therefore, all patients are encouraged to continue with their routine eye care. Future advancements and experience with remote monitoring and
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DOI 10.1007/978-3-642-25810-7_2, © Springer-Verlag Berlin Heidelberg 2012 |
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diagnostic technology will facilitate the development of comprehensive blindness prevention programs in primary care through telemedicine.
2.3Screening Feedback [4]
Patricia Andrade, age 32, diabetic patient: I didn’t know I could go blind from diabetes until I visited my [primary care] doctor…I had never had an eye exam before, and her assistant took pictures of my eyes with a special camera, and I learned how my eyes could end up and how they were already bleeding inside.
Lyn Berry, M.D., director of the Diabetes Clinic of Alameda County Medical Center: We found that our compliance rate with diabetic retinal exams went from around 25% up to the high 1990s. We feel that we’ve actually been able to prevent advanced eye disease and blindness, and it’s really been an enormous quality tool for our clinic.
David Martins, M.D., medical director, T.H.E. Clinic: My patient recently went blind waiting for a routine eye exam. I could not take that any more, so I instituted diabetic retinopathy screening in my clinic to identify our patients who are at risk, and prevent diabetic blindness.
2.4Guidelines for Referring Patients
The following guideline summary is presented for better understanding of the screening process. Diabetic retinopathy screening does not take the place of a comprehensive eye examination by an optometrist or ophthalmologist. The guidelines are derived from the position statement of the American Diabetes Association in cooperation with the American Optometric Association (Michael Duneas, OD) and the American Academy of Ophthalmology (Donald S. Fong, M.D., MPH) [4]. Readers are advised to view the complete position statement:
1.Patients with type 1 diabetes should have a retinal examination 3–5 years after the onset of diabetes. In general, evaluation for diabetic eye disease is not necessary before 10 years of age. However, some evidence suggests that
the prepubertal duration of diabetes may be important in the development of microvascular complications; therefore, clinical judgment should be used when applying these recommendations to individual patients.
2.Patients with type 2 diabetes should have a retinal examination shortly after diabetes diagnosis because the onset of the disease may occur several years before the diagnosis. Subsequent examinations for both type 1 and type 2 diabetic patients should be repeated annually. Examinations will be required more frequently if retinopathy is progressing.
3.When planning pregnancy, women with preexisting diabetes should have a retinal examination and should be counseled on the risk of development and/or progression of diabetic retinopathy. Women with diabetes who become pregnant should have a retinal examination in the first trimester and close followup throughout pregnancy. This guideline does not apply to women who develop gestational diabetes because such individuals are not at increased risk for diabetic retinopathy.
4.Patients who experience vision loss from diabetes should be encouraged to pursue visual rehabilitation with an ophthalmologist or optometrist who is trained or experienced in low-vision care.
2.5Referring Patients with SightThreatening Diabetic Retinopathy
Patients with any level of macular edema, severe nonproliferative diabetic retinopathy (NPDR), or any proliferative diabetic retinopathy (PDR) require prompt care of an ophthalmologist who is knowledgeable and experienced in the management and treatment of diabetic retinopathy. Referral to an ophthalmologist should not be delayed until PDR has developed in patients who are known to have severe nonproliferative or more advanced retinopathy. Early referral to an ophthalmologist is particularly important for patients with type 2 diabetes and severe NPDR since laser treatment at this stage is associated with a 50% reduction in the risk of severe visual loss and vitrectomy.
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2.6Program Validation: Defining Program Goals and Performance
The Ocular Telehealth section of the American Telemedicine Association defined four categories of performance of DRS programs using the ETDRS film-based retinopathy diagnosis system as the gold standard [1]:
(a)Category 1 validation indicates a system can separate patients into two categories: those who have no or very mild nonproliferative DR and those with more severe levels of DR. This level generally identifies patients who may potentially require the care of an ophthalmologist within a year.
(b)Category 2 validation indicates a system can accurately determine sight-threatening DR as evidenced by any level of macular edema or severe diabetic retinal changes. This category of validation allows identification of patients who do not have sight-threatening DR and those who have potentially sight-threatening DR. These patients with sight-threatening DR generally require prompt referral for possible laser surgery.
(c)Category 3 validation indicates a system can identify ETDRS defined levels of nonproliferative DR (mild, moderate, or severe), proliferative DR (early, high risk), and macular edema with accuracy sufficient to determine appropriate follow-up and treatment strategies. Category 3 validation allows patient management to match clinical recommendations based on clinical retinal examination through dilated pupils.
(d)Category 4 validation indicates a system that matches or exceeds the ability of ETDRS photos to identify lesions of DR to determine levels of DR and DME. Functionally, Category 4 validation indicates a program can replace ETDRS photos in any clinical or research program.
DRS program administrators must determine the appropriate program goals and performance and select a service that matches these expectations. The cost and complexity of performing DRS generally increases with higher category of validation.
2.7Program Models for Diabetic Retinopathy Screening
Organizations must consider how to adapt tele- medicine-based diabetic retinopathy screening to their clinicians’ workflow without disrupting their work while ensuring that all patients who require screening are attended. Three predominant strategies have emerged to manage screening:
1.Appointments for retinopathy screening: The most obvious and intuitive option is to set up appointments for diabetic patients to return for retinal imaging. An appointment schedule is set up where screening personnel process patients to be screened. Unfortunately, many patients fail to return for the retinal imaging, just as they often fail to attend an eye exam.
2.Integrating screenings into clinic workflow: The success of any clinical program depends on how well it is integrated into the workflow of the care process. One straightforward way to ensure that this happens is to create a simple set of clinical scenarios and then map out suggestions for a modified workflow, including alerts and reminders for all the people involved with the patient. For diabetic retinopathy screening, there are a few basic scenarios:
(a)Clinical scenarios
(i)Current diabetic patient visiting the clinic for a regular exam or unrelated issue. The key is for physicians and case managers to have retinopathy screening at the front of their minds. They should be making referrals for retinopathy screening to all diabetic or borderline diabetic patients.
(ii)Current diabetic patient who is not scheduled for a clinic visit. Many diabetics have never had a retinopathy screening and do not know that it is necessary. Others may have received a retinopathy screening more than a year ago and are due for another screening. Patient outreach – mailings and phone calls – can educate these patients and motivate them to schedule a visit. Electronic registry systems can help simplify identi-
