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The analysis of posterior segment findings in term and premature infants using RetCam images

Overview of attention for article published in International Ophthalmology, August 2017
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Title
The analysis of posterior segment findings in term and premature infants using RetCam images
Published in
International Ophthalmology, August 2017
DOI 10.1007/s10792-017-0670-8
Pubmed ID
Authors

Huseyin Gursoy, Mustafa Deger Bilgec, Nazmiye Erol, Hikmet Basmak, Ertugrul Colak

Abstract

To analyze posterior segment findings in term and premature infants using the RetCam image database. RetCam images taken of infants born between January 2012 and December 2015 were reviewed. Group 1 included infants with posterior segment findings other than retinopathy of prematurity (ROP). Group 2 included infants with mild-to-severe ROP. The baseline characteristics, anterior segment findings, and percentage of infants who received treatment were compared among the 2 groups. In total, 331 out of 3440 infants (9.6%) were included. The major diagnoses in group 1 (n = 75) were retinal hemorrhages in 26, optic nerve pathologies in 14, findings associated with a metabolic disease in 6, ocular tumors in 5, persistent hyperplastic primary vitreous in 4, and familial exudative vitreoretinopathy in 4 cases. The mean birth weight (g) (2481.9 ± 700.5 in group 1 vs 1090.5 ± 330.9 in group 2), gestational age (weeks) (35.9 ± 3.4 in group 1 vs 28.2 ± 2.4 in group 2), and postmenstrual age at initial examination (35.9 ± 3.4 in group 1 vs 28.2 ± 2.4 in group 2) were significantly different among the 2 groups (p < 0.001). Thirteen out of 75 cases in group 1 and 124 out of 256 ROP cases received therapy (p < 0.001). Anterior segment pathologies were found in 13.3% of group 1 versus 7.8% of group 2 infants (p = 0.216). A considerable number of infants suffered from posterior segment disorders other than ROP. The majority of these infants were term babies. Routine fundus screening may be recommended in all newborns to diagnose all posterior segment pathologies other than ROP.

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Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Other 5 26%
Professor > Associate Professor 3 16%
Student > Doctoral Student 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 3 16%
Unknown 5 26%
Readers by discipline Count As %
Medicine and Dentistry 9 47%
Nursing and Health Professions 3 16%
Computer Science 1 5%
Unknown 6 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 August 2017.
All research outputs
#20,442,790
of 22,997,544 outputs
Outputs from International Ophthalmology
#673
of 1,041 outputs
Outputs of similar age
#276,954
of 317,463 outputs
Outputs of similar age from International Ophthalmology
#16
of 25 outputs
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