Retinopathy of prematurity: risk factors for its development in two neonatal intensive care units in Paraná-Brazil

Mayer, Sylvia M. F.; Mazarollo, Larissa K. G.; Okamoto, Cristina Terumy; Moreira, Luciane Silva; Höpker, Luisa Moreira

doi:10.5935/0004-2749.20220049

Cited by 1 publication

(1 citation statement)

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“…The vaso-obliterative phase occurs first at approximately 22–32 weeks postmenstrual age (PMA) because of systemic hyperoxia leading to decreased vascular endothelial growth factor (VEGF) and subsequently decreased angiogenesis. This leads to phase two, the vaso-proliferative phase, caused by retinal hypoxia at approximately 33 weeks PMA secondary to the lack of adequate retinal vascular development increasing VEGF and triggering excessive and rapid onset abnormal vessel growth [16]. Certain factors as identified in prospective and retrospective studies have been associated with an increased likelihood of the development and severity of ROP in preterm infants [17, 18, 19, 20, 21, 22].…”

Section: Pathogenesis and Risk Factors Of Ropmentioning

confidence: 99%

Application of Artificial Intelligence in the Early Detection of Retinopathy of Prematurity: Review of the Literature

Shah,

Slaney,

VerHage

et al. 2023

Neonatology

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Retinopathy of prematurity (ROP) is a potentially blinding disease in premature neonates that requires a skilled workforce for diagnosis, monitoring, and treatment. Artificial intelligence is a valuable tool that clinicians employ to reduce the screening burden on ophthalmologists and neonatologists and improve the detection of treatment-requiring ROP. Neural networks such as convolutional neural networks and deep learning (DL) systems are used to calculate a vascular severity score (VSS), an important component of various risk models. These DL systems have been validated in various studies, which are reviewed here. Most importantly, we discuss a promising study that validated a DL system that could predict the development of ROP despite a lack of clinical evidence of disease on the first retinal examination. Additionally, there is promise in utilizing these systems through telemedicine in more rural and resource-limited areas. This review highlights the value of these DL systems in early ROP diagnosis.

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