Evidence map›Paper›PMID 41272889›Full record

ArticleInternational journal of retina and vitreous2025

Does field of view matter? Assessing its impact on Plus disease diagnosis in retinopathy of prematurity.

Sayed Mehran Sharafi, Mobina Amanollahi, Nazanin Ebrahimiadib, Mohammad Hossein Nowroozzadeh, Marjan Imani Fooladi, Fatemeh Bazvand, Nader Mohammadi, Mohammad Bagher Rajabi, Hamid Riazi-Esfahani, Elias Khalili Pour

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Article in International journal of retina and vitreous, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Sayed Mehran SharafiTranslational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mobina AmanollahiTranslational Ophthalmology Research Center, Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Nazanin EbrahimiadibOphthalmology Department, College of Medicine, University of Florida, Gainesville, FL, USA.
Mohammad Hossein NowroozzadehPoostchi Ophthalmology Research Center, Department of Ophthalmology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Marjan Imani FooladiClinical Pediatric Ophthalmology Department, UPMC, Children's Hospital of Pittsburgh, Pittsburgh, USA.
Fatemeh BazvandRetinopathy of Prematurity Department, Farabi Eye Hospital, Tehran University of Medical Sciences, South Kargar Street, Qazvin Square, Qazvin Street, Tehran, Iran.
Nader MohammadiRetinopathy of Prematurity Department, Farabi Eye Hospital, Tehran University of Medical Sciences, South Kargar Street, Qazvin Square, Qazvin Street, Tehran, Iran.
Mohammad Bagher RajabiRetinopathy of Prematurity Department, Farabi Eye Hospital, Tehran University of Medical Sciences, South Kargar Street, Qazvin Square, Qazvin Street, Tehran, Iran.
Hamid Riazi-EsfahaniRetinopathy of Prematurity Department, Farabi Eye Hospital, Tehran University of Medical Sciences, South Kargar Street, Qazvin Square, Qazvin Street, Tehran, Iran.
Elias Khalili PourRetinopathy of Prematurity Department, Farabi Eye Hospital, Tehran University of Medical Sciences, South Kargar Street, Qazvin Square, Qazvin Street, Tehran, Iran. Ekhalilipour@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study investigates the impact of field of view (FOV) on the diagnosis of Plus disease in retinopathy of prematurity (ROP), focusing on how different FOVs influence expert assessments.

methodsFundus images from 91 ROP infants were captured using a RetCam, each including the optic disk (OD) and a ridge/demarcation line. Cropped versions with a radius of three disc diameters (3DD) centered on the OD were automatically extracted using a computer-based algorithm. Images were categorized into five (normal, pre-Plus, Plus1, Plus2, Plus3), three (non-Plus, pre-Plus, Plus), or two groups (non-Plus, Plus). Five experts graded both entire-view and 3DD images. Inter-expert reliability was assessed using Cronbach’s alpha.

resultsSeventy-four 3DD and 77 entire-view images were graded. Cronbach’s alpha values were 0.933 (entire-view) and 0.942 (3DD) in the 5-level grading system, indicating slightly higher consistency among experts for 3DD images. Notable diagnostic shifts were observed when comparing entire-view and 3DD images, with 25.0% of Plus1 diagnoses shifting to pre-Plus and 16.9% of pre-Plus diagnoses shifting to normal in the 5-level grading system. Two experts showed substantial changes in their grades, with one expert upscaling 33.7% and downscaling 16.9% of diagnoses, and the other upscaling 21.7% and downscaling 15.7% when assessing entire-view compared to 3DD images.

conclusionsFOV significantly affects the diagnosis of Plus disease, with peripheral retinal features influencing expert judgments. Restricting the FOV to a 3DD area improved inter-expert reliability but led to notable diagnostic shifts. These findings highlight the need for standardized imaging protocols and the potential role of AI in reducing diagnostic variability in ROP.

Indexed as

Computer-based image analysisDeep learningPlus diseaseRetinal imagingRetinopathy of prematurity

Identifiers

PMID41272889
PMCPMC12639888

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.