Image analysis of posterior pole vessels identifies type 1 retinopathy of prematurity

Shah, Deepika N.; Karp, Karen A.; Ying, Gui‐Shuang; Mills, Monte D.; Quinn, Graham E.

doi:10.1016/j.jaapos.2009.07.004

Cited by 12 publications

(8 citation statements)

References 8 publications

(11 reference statements)

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“…The findings validate previous studies that measurement of posterior pole morphology can be useful to characterise vessel changes in eyes at risk for ROP 12 13. A high sensitivity for plus diagnosis and a high specificity for no pre-plus/plus disease for three of the four graders and CAIAR was demonstrated when comparing analysis of posterior pole images to clinical examination by indirect ophthalmoscopy.…”

Section: Discussionsupporting

confidence: 87%

Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity

Shah

Wilson²,

Ying

et al. 2011

British Journal of Ophthalmology

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Section: Discussionsupporting

confidence: 87%

Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity

Shah

Wilson²,

Ying

et al. 2011

British Journal of Ophthalmology

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“…30,32-42 The NM-200D (NIDEK Inc, Fremont, CA) is a narrow-angle non-contact 30 degree digital camera. 43 It has been studied for ROP screening and for image analysis in plus disease. 39-41,44,45 Finally, the Kowa handheld fundus camera (Kowa Optimed Inc, Torrance, CA) has also been used to study image analysis in plus disease.…”

Section: Quantitative Image Analysis For Plus Diseasementioning

confidence: 99%

“…42 The NM200D camera provides narrow field images so that only 30 degrees, typically centered on the optic nerve, are analyzed. 39,43,45 Information provided to experts during image review. In some studies, experts have been asked to identify presence of plus disease by comparing retinal images side-by-side to an image of the standard published photograph.…”

Section: Challenge #1: Definition Of a Reference Standardmentioning

confidence: 99%

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Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity

Wittenberg

Jonsson

Chan

et al. 2012

J Pediatr Ophthalmol Strabismus

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Presence of plus disease in retinopathy of prematurity (ROP) is an important criterion for identifying treatment-requiring ROP. Plus disease is defined by a standard published photograph selected over 20 years ago by expert consensus. However, diagnosis of plus disease has been shown to be subjective and qualitative. Computer-based image analysis, using quantitative methods, has potential to improve the objectivity of plus disease diagnosis. The objective was to review the published literature involving computer-based image analysis for ROP diagnosis. The PubMed and Cochrane library databases were searched for the keywords “retinopathy of prematurity” AND “image analysis” AND/OR “plus disease.” Reference lists of retrieved articles were searched to identify additional relevant studies. All relevant English-language studies were reviewed. There are four main computer-based systems, ROPtool (AU ROC curve, plus tortuosity 0.95, plus dilation 0.87), RISA (AU ROC curve, arteriolar TI 0.71, venular diameter 0.82), Vessel Map (AU ROC curve, arteriolar dilation 0.75, venular dilation 0.96), and CAIAR (AU ROC curve, arteriole tortuosity 0.92, venular dilation 0.91), attempting to objectively analyze vessel tortuosity and dilation in plus disease in ROP. Some of them show promise for identification of plus disease using quantitative methods. This has potential to improve the diagnosis of plus disease, and may contribute to the management of ROP using both traditional binocular indirect ophthalmoscopy and image-based telemedicine approaches.

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“…In 2010, Salcone and colleagues reviewed the current evidence on the use of retinal digital imaging for ROP screening 18 . The authors identified six prospective studies that evaluated the sensitivity and specificity of digital images in the use of ROP screening 29–33 . From these studies, the sensitivities of detecting ROP were found to range from 0.46 to 0.97 and the specificity for detecting ROP was uniformly high, ranging from 0.89 to 1.00.…”

Section: Digital Retinal Imagingmentioning

confidence: 99%

Use of digital retinal imaging in screening for retinopathy of prematurity

Kandasamy

Smith

Wright

et al. 2012

J Paediatrics Child Health

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The frequency of premature births is increasing world-wide. This factor, combined with improved survival and revised screening criteria, is resulting in an increased workload in screening for retinopathy of prematurity. Digital retinal imaging is emerging as an important alternative tool for diagnosing retinopathy of prematurity, and its use has even been extended to developing countries. Neonatal nurses and technicians can be trained to use digital imaging devices effectively. This is important in areas that do not have ready access to paediatric ophthalmologists. The ability to transfer images electronically makes it a valuable tool in telemedicine, while the ability to store and retrieve images is also advantageous from a medico-legal perspective. Image analysis software can further improve the accuracy of diagnosis. The main limitation of this technology is its high capital cost.

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Image analysis of posterior pole vessels identifies type 1 retinopathy of prematurity

Cited by 12 publications

References 8 publications

Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity

Comparison of expert graders to computer-assisted image analysis of the retina in retinopathy of prematurity

Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity

Use of digital retinal imaging in screening for retinopathy of prematurity

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