- •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
Index
A
AAP. See American Academy of Pediatrics (AAP) Acetylcholine, 92
AF. See Auto-fluorescence (AF)
Age-Related Eye Disease Study (AREDS), 33 Age-related macular degeneration (AMD), 34, 158, 164 Airlie House classification, 33, 118
Allen Stereo technique, 32
Alzheimer’s disease (AD) detection. See Retinal screening, AD detection
AMD. See Age-related macular degeneration (AMD) American Academy of Pediatrics (AAP), 177 American Indian Diabetes Teleophthalmology Grant
Program, 27–28
American Telemedicine Association (ATA), 138, 139, 217
American University of Beirut Medical Center, 35 Anatomic structure segmentation
image query, 54
lesion population description, 54 lesion segmentation, 52–54 macula, 52
optic nerve detection, 51–52 Angle-closure glaucoma, 119 Antihypertensive therapy, 101, 103
AREDS. See Age-Related Eye Disease Study (AREDS)
ARIC study. See Atherosclerosis Risk in Communities (ARIC) study
Arterio-venous nicking (AVN), 79, 80 Arterio-venous ratio (AVR), 80, 81, 109, 111
ATA. See American Telemedicine Association (ATA) Atherosclerosis Risk in Communities (ARIC) study,
79, 80
Audio video interleave (AVI) format, 38 Auto-fluorescence (AF), 97
Automated computer-aided analysis, 65 Automated glaucoma detection, 73 Automated image analysis and diagnostic
algorithms
anatomic structure segmentation image query, 54
lesion population description, 54 lesion segmentation, 52–54 macula, 52
optic nerve detection, 51–52
design requirements architecture, 45–46 performance evaluation, 48
security, reliability, and integrity, 45 work flow, 46–48
overview
functional modules, 48–49 quality assessment module, 49–50 quality evaluation, 50–51 vascular tree segmentation, 50
retinal diseases analysis, 44 telehealth, 44–45
WHO, 43–44
AVI format. See Audio video interleave (AVI) format AVN. See Arterio-venous nicking (AVN)
AVR. See Arterio-venous ratio (AVR)
B
BDES. See Beaver Dam Eye Study (BDES) Beaver Dam Eye Study (BDES), 83 Beta-amyloid (Ab) plaques, 91, 92
Binocular indirect ophthalmoscopy (BIO), 170, 172–174 Blood-retinal barrier alteration, 64
Blue Mountains Eye Study (BMES), 81, 84, 85 Brachytherapy plaques, 184, 185
C
California HealthCare Foundation, 147
California’s Medicaid program (Medi-Cal), 151–152 California Telemedicine and eHealth Center (CTEC), 26 Canon DGi, 26
Capillary closure, 64
Cardiovascular disease (CVD) risk prediction. See Retinal vascular imaging
Cardio-Vascular-Prevention-Plan (CVPP), 105–108 Cathode ray tube (CRT) monitor, 33
CBIR technology. See Content-based image retrieval (CBIR) technology
Central retinal artery equivalent (CRAE), 80 Central retinal vein equivalent (CRVE), 80 Central Valley EyePACS Diabetic Retinopathy Screening Project, 28–29
Cerebrospinal fluid (CSF), 92
CHD. See Coronary heart disease (CHD)
K. Yogesan et al. (eds.), Digital Teleretinal Screening, |
225 |
DOI 10.1007/978-3-642-25810-7, © Springer-Verlag Berlin Heidelberg 2012 |
|
226 |
Index |
|
|
CINAHL, 4
Clarity Pathfinder, 24
CLBM. See Contact lens biomicroscopy (CLBM) ClearCanvas DICOM visualizer, 161–162
Clinically significant macular oedema (CSME), 33, 34, 62–63 Computer-aided detection, DR progression
automated monitoring and microaneurysm turnover counting of, 61–62
CSME and, 62–63 RetmarkerDR, 61
visual function loss and co-registration, 60 complications, 59
fundus digital photographs, 65 non-invasive procedures
blood-retinal barrier alteration, 64 capillary closure, 64 microaneurysms, 63–64
risk profiles developing, 64–65 OCT, 63, 64
stages and NPDR phenotypes, 60 Contact lens biomicroscopy (CLBM), 34
Content-based image retrieval (CBIR) technology, 45 Co-registration algorithm, 65
Coronary heart disease (CHD), 102 retinal microvascular signs, 82–83 retinal vessel biometry, 85
CRAE. See Central retinal artery equivalent (CRAE) CRT monitor. See Cathode ray tube (CRT) monitor CRVE. See Central retinal vein equivalent (CRVE) CRYO-ROP. See Cryotherapy for ROP (CRYO-ROP) Cryotherapy for ROP (CRYO-ROP), 170
CSF. See Cerebrospinal fluid (CSF)
CSME. See Clinically significant macular oedema (CSME)
CTEC. See California Telemedicine and eHealth Center (CTEC)
Cure4Kids website, 186
CVPP. See Cardio-Vascular-Prevention-Plan (CVPP) Cycloplegia, 19
D
Data models images
ClearCanvas DICOM visualizer, 161–162 fundus camera VISUCAM Pro NM,
160–161 model, 160 PACS server, 161
patient-related information, 159 schemes, 159
Diabetes mellitus (DM), 37
Diabetic retinal screening dataset (DRSD), 134 Diabetic retinopathy (DR), 5–6
computer-aided detection (see Computer-aided detection, DR progression)cost-effectiveness,
148–150 EADRSI, 147–148
follow-up care access, 150 fundus camera, 118–119
GP2DRS, 134 grant funding, 147 imaging procedure
DigiScoper imaging, 119, 120 opthalmologist referral criteria, 121 reading center procedure, 120–121
implementation, 122–123
macular edema detection, 121–122 models, 13–14
model setting up
agreement evaluation, 158 implementation, 158–159 phases, 157
training, 157–158 need for, 11–12 NPDR, 12, 29
patient sensitivity, 154–155 PDR, 12, 29
policies and procedures DRS, 17–19
photography review, 20–21 pupil dilation, 19–20 recommendations, 17
prevalence, 164–165
program personnel and operations administrators, 16
CEOs, operations directors, and clinic managers, 17
clinical consultants, 16 organizational features, 14 photographers, 15–16 primary care providers, 14–15
providers, 153–154 quality evaluation, 165
referring patients guidelines, 12 results
agreement evaluation, 162–163 implementation, 163
SAF, 11
screening feedback, 12
screening model evaluation, 163–164 screening network, 152–153
State benefits, 150–151 State support, 151–152 system requirements, 117 technical requirements, 26
American Indian Diabetes Teleophthalmology Grant Program, 27–28
Central Valley EyePACS Diabetic Retinopathy Screening Project, 28–29
color, 24 compression, 25–26 enhancement, 26 format, 22
pupil dilation, 26 resolution, 23–24 stereopsis, 24–25 technologic requirements
data management, 159 data models (see Data models)
Index |
227 |
|
|
teleophthalmology terms
ADA guidelines terms, 29–30 diabetic retinopathy, 29 vitrectomy, 30
unreadable images challenges, 125
compliance with recommendations, 124–125 impact on, 123–124
reasons and incidence, 123 validation, 13
video imaging technology (see Video imaging technology, DR screening)workflow, 14
Diabetic retinopathy screening (DRS) services, 17–19 DICOM. See Digital imaging communication in
medicine (DICOM)
Digital imaging communication in medicine (DICOM), 46, 159, 162
Digital retinal photography, 15 DM. See Diabetes mellitus (DM) DR. See Diabetic retinopathy (DR)
DRSD. See Diabetic Retinal Screening Dataset (DRSD)
E
EADRSI. See Expanding Access to Diabetic Retinopathy Screening Initiative (EADRSI)
Early Treatment Diabetic Retinopathy Study (ETDRS), 30, 33, 38, 79, 118
Early Treatment for ROP (ETROP), 170
Economics, DR screening. See Diabetic retinopathy (DR) Electronic Annual Reporting System (EARS), 134 EMBASE, 4
European School of Oncology, 188
Expanding Access to Diabetic Retinopathy Screening Initiative (EADRSI), 147–148
External quality assurance (EQA), 133–134 EyePACS, 28
EyePACS screening network, 147, 152–153
F
FAN. See Focal arteriolar narrowing (FAN)
Federal Information Processing Standard (FIPS), 45, 46 Fluorescein angiography, 64
Focal arteriolar narrowing (FAN), 79, 80 Framingham risk score, 78
Fundus camera VISUCAM Pro NM, 160–161 Fundus digital photographs, 65
G
GA. See Gestational age (GA)
General Practice to Diabetic Retinopathy Screening (GP2DRS), 134
General practitioners (GPs), nonmydriatic retinography. See Diabetic retinopathy (DR)
Gestational age (GA), 177 Glaucoma risk index (GRI), 73, 74
Glaucomatous optic nerve atrophy, 70–72
GP2DRS. See General Practice to Diabetic Retinopathy Screening (GP2DRS)
Grayscale sensors, 24
GRI. See Glaucoma risk index (GRI)
H
Hamilton Eye Institute, 182, 188–189 HDL. See High-density lipoprotein (HDL)
Health Insurance Portability and Accountability Act (HIPAA), 117
Heart disease. See Retina screening, heart disease/stroke High-density lipoprotein (HDL), 93
HIPAA. See Health Insurance Portability and Accountability Act (HIPAA)
HIS. See Hospital information system (HIS) Hold-one-out (HOO) procedure, 54 Hospital information system (HIS), 159 Hypertension, 83–84
I
IDF. See International Diabetes Federation (IDF) IHE. See Integrating the Healthcare Enterprise (IHE) Information Standards Board (ISB), 134
Inoveon diabetic retinopathy-3DT system, 34 Integrating the Healthcare Enterprise (IHE), 159 International Classification of Clinical Diabetic Retinopathy
and Macular Edema Severity Scale, 121 International Clinical Diabetic Retinopathy Severity
Scales, 38
International Diabetes Federation (IDF), 137 International outreach telemedicine services, 185, 187 Intraocular pressure (IOP), 68
Intraretinal microvascular abnormalities (IRMA), 30, 68
ISB. See Information Standards Board (ISB)
J
Joslin Vision Network (JVN), 33, 35
JPEG format, 25, 26
K
k-nearest neighbor (k-NN) method, 54
L
LCD. See Liquid crystal display (LCD) Lesion segmentation, 52–54
Linear discriminant analysis (LDA), 52, 54 Lipofuscin, 97
Liquid crystal display (LCD), 33 Logistic regression models, 69, 70
M
Macular edema, 29
Macular edema detection, 121–122
228 |
Index |
|
|
Macular oedema, 59
MCI. See Mild cognitive impairment (MCI) Medi-Cal. See California’s Medicaid program
(Medi-Cal) Medline database, 3 Microaneurysms, 53
Microaneurysm turnover. See Computer-aided detection, DR progression
Mild cognitive impairment (MCI), 91 Mydriatic imaging, 32–33
N
National Screening Committee, 128
Neonatal intensive care unit (NICU), 170, 174, 178 Neovascularization, 118
Nerve fiber layer (NFL), 54 Neurofibrillary tau tangles (NFT), 91 Newman’s Markov model, 150, 151
NICU. See Neonatal intensive care unit (NICU) Nidak-AFC 230r nonmydriatic fundus camera,
143–144 Nidek 3DX, 24 Nidek NM-200D, 180
Non-invasive procedures. See Computer-aided detection, DR progression
Nonlinear least-squares algorithm, 52 Non-mydriatic imaging, 32–33 Nonmydriatic retinography. See Diabetic
retinopathy (DR)
Non-proliferative diabetic retinopathy (NPDR), 12, 29, 59–60
Non-simultaneous photography. See Sequential photography
NPDR. See Non-proliferative diabetic retinopathy (NPDR)
O
OAG. See Openangle glaucoma (OAG)
OCT. See Optical coherence tomography (OCT) Ocular telehealth network. See Automated image
analysis and diagnostic algorithms Official Journal of the European Union (OJEU), 134 OIS EyeScan, 180
ONH. See Optic nerve head (ONH) Openangle glaucoma (OAG), 67, 72
Operational ROP telemedicine systems, 173–174 Ophthalmologist-led model, 138
Optical coherence tomography (OCT), 63, 95 Optic nerve (ON) centers, 51
Optic nerve detection, 51–52 Optic nerve head (ONH), 67 ORBISr International, 182
P
PACS. See Picture archiving and communication system (PACS)
PAD. See Peripheral artery disease (PAD)
Parr-Hubbard formulae, 80
PCA. See Principal component analysis (PCA) PCP. See Primary care physician (PCP)
PDF. See Probability density function (PDF) PDR. See Proliferative diabetic retinopathy (PDR) Peripheral artery disease (PAD), 85
Photophobia, 19
Picture archiving and communication system (PACS), 159–162
Polaroid retinal photography, 128 p53 pathway, 182
Premature babies, retinal examination. See Retinal examination, premature babies
Premature infant pain profile (PIPP), 177
Primary care environment, DR assessment. See Diabetic retinopathy (DR)
Primary care physician (PCP), 18
Principal component analysis (PCA), 52, 73 Probability density function (PDF), 51, 63, 64 PROCAM-index, 109, 112
Proliferative diabetic retinopathy (PDR), 12, 29 Pupil dilation, 19–20
Q
Quality assessment (QA) metric, 45
R
Radon Cliff operator, 53 Randomised controlled trial (RCT), 6 Reading center procedure, 120–121 Real-time imaging, 139
Receiver operating characteristic (ROC) curves, 74 Resolution, 23–24
RetCamr, 183, 184 Retinal biomarkers
Ab levels, 94–95 future studies, 97–98 optic disc cupping, 97 retinal changes, 93, 95 RNFL thickness, 95–96 vascular topography, 97 venular calibre, 93–94
Retinal examination, premature babies examination techniques stress effects, 179 future of, 180
neonatal stress and pain, 177
ROP screening technique, 178–179 Retinal ganglion cells (RGC), 96 Retinal microangiopathy, 109
Retinal microvascular signs CHD, 82–83
list of, 81, 83 pre-clinical CVD, 81 stroke, 81–82
Retinal nerve fibre layer (RNFL), 93, 95–96 Retinal pigment epithelial (RPE) cells, 97 Retinal screening, AD detection
diagnosis, 92
Index |
229 |
|
|
MCI and NFT, 91 retinal biomarkers
Ab levels, 94–95 future studies, 97–98 optic disc cupping, 97 retinal changes, 93, 95 RNFL thickness, 95–96 vascular topography, 97 venular calibre, 93–94
treatments, 91–92 visual deficits, 92–93
Retinal vascular imaging advancements, 86 advantages, 79
need for, 78
newer morphologic features, 85–86 retinal and systemic microvasculature
homology, 78
retinal microvascular signs CHD, 82–83
list of, 81, 83 pre-clinical CVD, 81 stroke, 81–82
retinal vascular signs microvascular signs, 79, 80 newer imaging, 81, 82
retinal vessel biometry, 79–81 retinal vessel biometry
associations, 83, 84 CHD and PAD, 85 hypertension, 83–84 stroke, 84–85
systemic diseases, 77–78
Retinal vessel biometry. See Retinal vascular imaging Retina screening, heart disease/stroke
arteriovenous ratio, 102–103 heart disease, 102
medical approach
automatically generated medical report, 105, 106 electronic form, 103, 105
medical steps, 103
non-mydriatic fundus camera, 103, 104 medical data output, 107–108
mortality rate and prevention, 101 patients, 108–109
retinal vessels telemedical evaluation, 109 risk factors, 101–102
stroke
hypertensive retinopathy and, 102 risk estimation, 110–112
technical approach, 105–106 Retinoblastoma
causes and treatment research, 182 centers of excellence, 182, 183 diagnosis, 181–182
history
brachytherapy plaques, 184, 185 international ophthalmology telehealth
symposium, 184, 186 Panama center, 183, 184
SJCRH, 182
UTHSC, 183 impact
additional accomplishments, 187–189 future goals, 188–189
survival rates, 186, 187 management and loss ot sight, 181 telehealth technologies, 185–187
Retinopathy of prematurity (ROP), 5–6, 178–179 classification, 169–170
definition, 169
examination and treatment, 170 future directions, 174 limitations, 170–171 telemedicine and
accuracy and reliability, 172–173 operational, 173–174
potential barriers, 174 potential benefits, 171–172
RetmarkerDR, 61
RGC. See Retinal ganglion cells (RGC) RNFL. See Retinal nerve fibre layer (RNFL)
ROC curves. See Receiver operating characteristic (ROC) curves
ROP. See Retinopathy of prematurity (ROP) Rotterdam scan study, 84, 85
S
Scanning laser ophthalmoscopy (SLO), 97 Scheie Eye Institute, 34
SCP. See Service class provider (SCP) SCU. See Service class user (SCU) Secure file transfer protocol (SFTP), 46 Secure socket layer (SSL) encryption, 22 Sequential photography, 32
Service class provider (SCP), 161 Service class user (SCU), 161 Severely sight impaired (SSI), 135
SFTP. See Secure file transfer protocol (SFTP) Simultaneous photography, 32
SLO. See Scanning laser ophthalmoscopy (SLO) Sonic foundry mediasite system, 188
SPSS software, 69
SSD. See Sum of squared differences (SSD) SSI. See Severely sight impaired (SSI)
SSL encryption. See Secure socket layer (SSL) encryption
Stereo base, 32 Stereopsis, 24–25
history, 31–32
stereoscopic teleophthalmology systems American University of Beirut Medical
Center, 35
Inoveon diabetic retinopathy-3DT system, 34 JVN, 35
University of Alberta, 34 technology and photography
image compression, 33–34
imaging fields and image viewing techniques, 33
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mydriatic vs. non-mydriatic imaging, 32–33 non-simultaneous vs. simultaneous, 32
uses, 31
St. Jude Children’s Research Hospital (SJCRH), 182 Store-and-forward (SAF), 11, 22, 139
Stroke. See also Retina screening, heart disease/ strokeretinal microvascular signs, 81–82
retinal vessel biometry, 84–85 Sum of squared differences (SSD), 63 Support vector machines (SVM), 73 Systematic DR screening, England
background, 127
cameras and software for use, 129 core ingredients, 129
database development, 134 diabetes epidemics, 135 EQA development, 133–134
expected blindness reduction, 135 failsafe, 134–135
grading form, 129–130 historical perspective, 128 implementation, 130–131 IT developments, 134 programme aim, 128–129 quality assurance
criteria, 132–133
20 QA standards, 131–132 staff accreditation, 131
WHO principles, 127
T
Tagged image file format (TIFF), 40
Talkingeyes®. See Retina screening, heart disease/stroke Tele-glaucoma, experiences and perspectives
automated glaucoma detection, 73 glaucomatous optic nerve atrophy
prevalence, 70–72
image evaluation reliability, 69–70 methods, 68–69
OAG, 67 participants, 68 ROC curves, 74 stastistics, 69 women and, 72
Telehealth, 44–45. See also Automated image analysis and diagnostic algorithms
Teleophthalmology
aims and objectives, 3–4 discussion, 6
future prospects, 146 method
classification questionnaire, 5 databases and keywords, 4 definition, 3
inclusion and exclusion criteria, 4 paper selection process, 4–5
methods
Nidak-AFC 230r nonmydriatic fundus camera, 143–144
sample fundus photo, 144–145 obstacles encountered, 146 results
subspecialty, 5–6
telemedicine type and study design, 6 stereopsis (see Stereopsis)
Telescreening, DR ATA categories, 139 burden of, 137–138 DM prevalence, 137 fields, 139–140 future of, 141 guidelines, 138–139 need for, 138
screening models, 138 validation studies
accuracy and patient satisfaction, 140 cost effectivity, 140–141
yield and checklist, 139
TIFF. See Tagged image file format (TIFF) Tilganga Eye Center, 143, 145
Topcon NW-200, 26 Trachoma, 6 Tropicamide, 26
U
University of Alberta, 34
University of Tennessee Health Science Center
(UTHSC), 182
University of Wisconsin Fundus Photograph Reading
Center, 16
V
VA loss. See Visual acuity (VA) loss Vascular event-risk index, 104 Vascular topography, 97
Vascular tree segmentation, 50 Video compression analysis, 39–40
Video imaging technology, DR screening advantages, 40–41
DM and routine screening methods, 37 methods
grading system, 38
main outcome measures, 39
retinal video recording vs. retinal still photography, 39 severity levels, 39
video compression analysis, 39–40 View-Master disc, 33
Visual acuity (VA) loss, 158 Visual Pathways ARIS, 24 VisuCam Pro NM camera, 47 Vitrectomy, 30
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W
White matter lesions (WMLs), 78
WHO. See World Health Organization (WHO) Wide-angle contact camera, 178–19 Wilmer-EyeTel Reading Center, 120
Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR), 85
WMLs. See White matter lesions (WMLs)
World Health Organization (WHO), 43, 127, 135, 137
X
Xilisoft Video Converter Ultimate 6.0, 39
