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5 Automated Image Analysis and the Application of Diagnostic Algorithms in an Ocular Telehealth Network 55

5.5Summary

In this chapter, we have described our work using CBIR and retinal image databases in a regional ocular telehealth network. The network permits remote diagnosis of DR using high-throughput methods to meet the growing need for highthroughput disease assessment and management. The network infrastructure for automated diagnosis of DR provides a method for low-cost, realtime diagnosis and patient referral in the primary care environment. We also describe the design of the underlying network infrastructure, which emphasizes high-speed data transmission for real-time image analysis, secure data encryption, and cost-effective implementation and transmission of protected health information to meet Federal HIPAA compliance regulations.

Acknowledgments These studies were supported in part by grants from Oak Ridge National Laboratory, the National Eye Institute, (EY017065), and the Health Resources and Services Administration, by an unrestricted UTHSC departmental grant from Research to Prevent Blindness, New York, NY and by the Plough Foundation, Memphis, TN.

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Computer-Aided Detection

6

of Diabetic Retinopathy Progression

José Cunha-Vaz, Rui Bernardes, Torcato Santos,

Carlos Oliveira, Conceição Lobo, Isabel Pires,

and Luisa Ribeiro

6.1Introduction

Diabetic retinopathy (DR) is the leading cause of low vision and blindness in people of working age in Europe and United States and the more common microvascular complication of diabetes. It is also projected that during the next 20–30 years, the

J. Cunha-Vaz ( ) • R. Bernardes

AIBILI – Association for Innovation and Biomedical Research on Light and Image, Coimbra, Portugal

Faculty of Medicine, University of Coimbra, Centre of New Technologies for Medicine,

Coimbra, Portugal

e-mail: cunhavaz@aibili.pt

T. Santos • L. Ribeiro

AIBILI – Association for Innovation and Biomedical Research on Light and Image, Centre of New Technologies for Medicine, Coimbra, Portugal

C. Oliveira

Critical Health, Centre for Clinical Trails, Coimbra, Portugal

C. Lobo

AIBILI – Association for Innovation and Biomedical Research on Light and Image, Centre of New Technologies for Medicine, Coimbra, Portugal

Faculty of Medicine, University of Coimbra,

Coimbra, Portugal

Department of Ophthalmology, University Hospital

of Coimbra, Coimbra, Portugal

I. Pires

AIBILI – Association for Innovation and Biomedical Research on Light and Image Centre for Clinical Trails, Coimbra, Portugal

Department of Ophthalmology, University Hospital

of Coimbra, Coimbra, Portugal

number of persons affected with diabetes mellitus will increase by as much as 35% [1]. It is well recognized from clinical experience that the evolution and progression of DR varies between different individuals independently of the duration of the disease and the status of its metabolic control. Diabetic patients with similar levels of chronic hyperglycaemia do not develop necessarily the same DR complications, and not every patient develops macular oedema or proliferative retinopathy, the complications associated with vision loss.

There is now accumulated evidence indicating that only the non-proliferative stage of DR (NPDR) is directly due to the systemic disease and associated hyperglycaemia. Macular oedema and proliferative diabetic retinopathy are late complications of diabetic retinopathy. Macular oedema is a direct result of a widespread alteration of the blood-retinal barrier, and proliferative retinopathy occurs only after the development of large areas of capillary closure with the ensuring ischaemia. Neovascularization in DR is the direct result of the ischaemia and when established is not influenced by the diabetic metabolic control. Its course and management are not different from other situations in the retina where neovascularization develops such as retinal vein occlusion [2].

Diabetic retinal lesions are still reversible at the initial stages of mild NPDR, before the complications of DR, macular oedema and proliferative retinopathy occur. It is this stage of the disease that needs to be well characterized if we want to stop disease progression and improve management of DR.

K. Yogesan et al. (eds.), Digital Teleretinal Screening,

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DOI 10.1007/978-3-642-25810-7_6, © Springer-Verlag Berlin Heidelberg 2012

 

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Four main alterations characterize the early stages of DR: microaneurysms/haemorrhages, alteration of the blood-retinal barrier, capillary closure and alterations of the neuronal and glial cells of the retina. These alterations may be monitored by microaneurysms counting methodologies and retinal thickness measurements. A combination of these methods using novel methods of multimodal imaging of the retina has contributed to the identification of three different phenotypes of NPDR, showing different patterns of disease progression: phenotype A, including eyes with little abnormal leakage, a slow rate of microaneurysm formation and no signs of capillary closure; phenotype B, including eyes characterized by persistently high leakage values and increased retinal thickness measurements, variable rates of microaneurysm formation and no signs of capillary closure (in this phenotype, the alteration of the blood-retinal barrier is the dominant feature); and phenotype C, including eyes with variable leakage and variable retinal thickness values, high rates of microaneurysm formation and disappearance and clear signs of capillary closure. This third phenotype shows a clear predominance of capillary closure and early development of retinal ischaemia. Long-term follow-up of these different groups of eyes/patients for a period of 7 years showed that only eyes/patients belonging to phenotypes B and C developed clinical significant macular oedema with clear indication for photocoagulation treatment according to ETDRS guidelines. None of the eyes identified initially as phenotype A developed after 7 years of follow-up severe macular oedema needing laser photocoagulation. In summary, the phenotype A is characterized by lack of progression, suggesting that this phenotype has a slow evolution without development of the characteristic complications of NPDR, macular oedema and proliferative retinopathy, at least during a period of 7 years.

On the other hand, the other DR phenotypes, the leaky type or phenotype B and the ischaemic type or phenotype C, lead much more frequently to the development of severe macular oedema with incidences at 7 years of 41% and 50%, respectively [3].

The characterization of these three different phenotypes of NPDR confirms the general clinical impression that the evolution and progression of DR varies between different individuals.

6.2Automated Monitoring

of Retinopathy Progression: Microaneurysm Turnover

It is, therefore, of fundamental importance to monitor the progression of the disease in a specific patient and identify if he is a ‘progressor’, i.e. a patient that shows signs of rapid progression and to which phenotype of progression he belongs. Some eyes/patients need special attention and timely intervention to avoid development of the DR complications, macular oedema or proliferative DR.

The major alterations that occur in NPDR and need to be monitored are microaneurysms dynamics, namely, their formation and disappearance, vascular leakage with subsequent oedema and hard exudates formation and capillary closure.

Visual function loss occurs characteristically late in DR because the eye has a large functional reserve of vision, and DR affects initially the inner layers of the retina away from the photoreceptors. Therefore, structural changes are detected in DR earlier than functional changes. We have, therefore, to focus on evidence of structural changes if we want to follow progression in the earliest stages of DR.

One of the best candidates for non-invasive imaging of the eye fundus is clearly fundus digital photography because retinal cameras are widely available, and the data obtained may be supported and enhanced by computer-assisted procedures.

To identify progression it is essential to collect sequential series of images, and these images must be compared. The need for co-registration of these sequences of images is, therefore, of great relevance. By applying novel co-registration procedures and automated comparative analysis software, it is now possible to perform reliable sequential comparisons of fundus digital photography images.

6 Computer-Aided Detection of Diabetic Retinopathy Progression

 

61

 

 

 

 

Original images (enhanced)

 

 

 

2008-Out-03

2009-Mar-14

2009-Set-28

2010-Mar-25

2010-Out-02

1008

1009

1010

 

1011

1012

An

Baseline s (col 6-month

previ

12-month

18-month

24-month

1 count

3 new 0 old 1 dis

3 new 2 old 2 dis

1 new 2 old 5 dis

3 new 1 old 6 dis

Fig. 6.1 This figure illustrates the automatic MA tracking over time, colour coding each detected MA as new, old or disappeared (based on proprietary co-registration algorithm)

Fig. 6.2 The Retmarker software automatically calculates MA formation and disappearance rates. The patient above had a MA formation rate of 5 MA/year over a 24-month follow-up

The RetmarkerDR is a software now available (Critical Health, Portugal) which is able to automatically detect changes occurring in eye fundus digital images, by comparing successive visits to the reference images, in each eye, based on co-registration and co-localization of the changes (Figs. 6.1 and 6.2).

On fundus photography, microaneurysms and small haemorrhages are the initial changes detected in the diabetic retina. They may be

counted, and retinal microaneurysm counting has been suggested as an appropriate marker of retinopathy progression [4, 5].

Retinal microaneurysms are important lesions of diabetic retinopathy, and even one or two microaneurysms in an eye should not be regarded as unimportant [6]. When examining 1,809 patients in the UKPDS cohort that had either no retinopathy or microaneurysms only at entry, they showed that the number of microaneurysms

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had a high predictive value for worsening retinopathy at 3, 6, 9 and 12 years after entry into the study [6]. Similar findings had been presented by Klein et al. who looked at the relationship of retinal microaneurysms to the progression of diabetic retinopathy over a 4-year period [7]. In their study, the number of microaneurysms at the baseline examination was positively associated with significant progression of retinopathy.

More recently, Sjolie et al. showed that microaneurysms counts were predictive of an increased risk of retinopathy [8].

However, our research has shown that the total number of microaneurysms detected in colour fundus photographs offers lower sensitivity in detecting progression of the retinopathy when compared with the determination of microaneurysms turnover, taking into account the exact location of new microaneurysms in successive fundus photographs taken at 6-month or 1-year intervals, apparently because the regressed microaneurysms are constantly balanced by the new ones [9].

We found that differences between successive visits using microaneurysm counts are less reliable than microaneurysm formation rates, which take into account newly formed microaneurysms and give more accurate information on ‘activity of the retinopathy’. Furthermore, we have also found much better agreement between graders when determining microaneurysm turnover [10].

Recently, Sharp et al. [11] found that the microaneurysm turnover varied widely between eyes of the same retinopathy level. This is also consistent with our findings. Microaneurysm turnover has been shown in our studies to vary between eyes that were classified with the same retinopathy level. Particularly relevant and of major interest is the finding that the patients who have higher microaneurysm turnover values are the ones that go on to develop clinically significant macular oedema (CSME) and show a more rapid retinopathy progression, particularly in association with poor metabolic control demonstrated by higher HbA1c values. Microaneurysm turnover appears to be a distinctive characteristic that indicates activity of disease and rapid progression in eyes with apparently similar retinopathy level.

The observation that in the group with diabetes type 2, the level of metabolic control, given by HbA1c values, correlates with retinopathy progression confirms previous reports [12]. It is interesting that other systemic variables, such as blood pressure and blood-lipid levels, did not appear to be relevant in this relatively wellcontrolled group of patients.

Microaneurysms are the key lesion in the early stages of DR, and our work demonstrates consistency in the demonstration of microaneurysm turnover values [10]. Our studies demonstrate that it is not the absolute total number of microaneurysms at a certain point in time that may provide the best indication of retinopathy progression, but the rate of microaneurysm turnover in successive visits during a 1- or 2-year period.

We have shown that it is possible to use microaneurysm computed from non-invasive colour fundus photographs as a biomarker to identify eye/patients at risk of progression for CSME. A microaneurysm formation rate of at least two microaneurysms/eye in eyes with mild NPDR and diabetes type 2 appears to identify patients at risk for progression to CSME as well. In one recent and larger study, with a 10-year follow-up of 113 eyes/patients, the percentage of false negatives (eyes that developed CSME with a low microaneurysm formation rate) was 29.4% (5/17), and the percentage of false positives (eyes that did not develop CSME with a high microaneurysm formation rate) was 8.3% (8/96), resulting in a sensitivity in predicting CSME development of 70.6%. The high negative predictive value for CSME (94.6%, 88/93) indicates that a low microaneurysm turnover, i.e. less than two microaneurysms/ year, identifies particularly well the eyes/patients that are not expected to progress to CSME within a 10-year period.

In another study, a group of 290 eyes that were followed by fundus photography during a period of 5 years in the Caldiret study, coordinated by Munich University, it was possible to compare 49 eyes that did develop CSME over the period of the study with 241 eyes that did not develop CSME in the same 5-year period (Ulbig, M., et al., personal communication 2011).