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Challenges in the Diagnosis of Retinopathy of Prematurity—An Imaging and Instrumentation Perspective

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TLDR
The technological evolution of diagnosis of Retinopathy of Prematurity, interesting findings of cohort studies carried out across the globe and the areas where limelight has to be thrown for a commoner to understand the aspects of both medical and engineering domains and the corresponding studies going on behind the screen of biomedical engineering and instrumentation are reviewed.
Abstract
Among the prime causes of blindness, Retinopathy of Prematurity (ROP) tops the chart. Technical advancements in nurturing the neonates have been witnessing tremendous positivity in the diagnosis and treatment of neonates. Ophthalmologic diagnosis points to binocular indirect ophthalmoscope (BIO) since the beginning, but newbie technologies of wide-field digital imaging have been showing promising results to switch over from traditional diagnostic methods. In this paper, we review the technological evolution of diagnosis of Retinopathy of Prematurity, interesting findings of cohort studies carried out across the globe and the areas where limelight has to be thrown for a commoner to understand the aspects of both medical and engineering domains and the corresponding studies going on behind the screen of biomedical engineering and instrumentation.

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Citations
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Journal Article

Diagnostic discrepancies in retinopathy of prematurity classification

TL;DR: The most common discrepancy in ROP classification is stage, although inter-expert agreement for clinically significant disease, such as presence versus absence of type 1 and type 2 disease, is high as discussed by the authors.
Journal Article

Speed of Telemedicine versus Ophthalmoscopy for Retinopathy of Prematurity Diagnosis

TL;DR: In this paper, the authors compared the speed of retinopathy of prematurity (ROP) diagnosis using standard indirect ophthalmoscopy with that of tele-medicine.
Journal ArticleDOI

For Effective, Earlier and Simplified Diagnosis of Retinopathy of Prematurity (RoP), a Probe through Digital Image Processing Algorithm in B-Scan

TL;DR: A novel algorithm has been proposed to measure the percentage deviation of retinal health with respect to prior ultrasonic B scan image and classify the level or stage of RoP based on the location and severity noticed in the ultrasonic A scan images.
References
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Journal Article

The International Classification of Retinopathy of Prematurity Revisited : An International Committee for the Classification of Retinopathy of Prematurity

TL;DR: An international group of pediatric ophthalmologists and retinal specialists has developed a consensus document that revises some aspects of ICROP, including introduction of the concept of a more virulent form of retinopathy observed in the tiniest babies.
Journal ArticleDOI

The international classification of retinopathy of prematurity revisited

TL;DR: The International Classification of Retinopathy of Prematurity (ICROP) was published in 2 parts, the first in 1984 and later expanded in 1987 as discussed by the authors, which was a consensus statement of an international group of retinopathy experts.
Journal ArticleDOI

Segmentation of blood vessels from red-free and fluorescein retinal images

TL;DR: A new approach is proposed that uses measurements of vessel diameters and branching angles as a validation criterion to compare the authors' segmented images with those hand segmented from public databases, and demonstrated that borders found by the method are less biased and follow more consistently the border of the vessel and therefore they yield more confident geometric values.
Journal ArticleDOI

Characterization of changes in blood vessel width and tortuosity in retinopathy of prematurity using image analysis.

TL;DR: This paper presents a general technique for segmenting out vascular structures in retinal images, and characterising the segmented blood vessels, and applies a simple retrospective screening paradigm based solely on vessel width and tortuosity.
Journal ArticleDOI

A Novel Method for the Automatic Grading of Retinal Vessel Tortuosity

TL;DR: A new algorithm for the evaluation of tortuosity in vessels recognized in digital fundus images is proposed, based on partitioning each vessel in segments of constant-sign curvature and then combining together each evaluation of such segments and their number.
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