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Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study

Introduction: Anterior lens capsule vascularity (ALCV) is resorbed in the developing fetus from 27 to 35 weeks gestation. In this pilot study, we evaluated the feasibility and validity of combining smartphone ophthalmoscope videos of ALCV and image analysis for gestational age estimation. Methods: A...

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Autores principales: Patel, Monalisa, Mukherjee, Dibyendu, Farsiu, Sina, Munoz, Breda, Blood, Arlin B., Wilson, Christopher G., Griffin, Jennifer B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391335/
https://www.ncbi.nlm.nih.gov/pubmed/30842940
http://dx.doi.org/10.3389/fped.2019.00043
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author Patel, Monalisa
Mukherjee, Dibyendu
Farsiu, Sina
Munoz, Breda
Blood, Arlin B.
Wilson, Christopher G.
Griffin, Jennifer B.
author_facet Patel, Monalisa
Mukherjee, Dibyendu
Farsiu, Sina
Munoz, Breda
Blood, Arlin B.
Wilson, Christopher G.
Griffin, Jennifer B.
author_sort Patel, Monalisa
collection PubMed
description Introduction: Anterior lens capsule vascularity (ALCV) is resorbed in the developing fetus from 27 to 35 weeks gestation. In this pilot study, we evaluated the feasibility and validity of combining smartphone ophthalmoscope videos of ALCV and image analysis for gestational age estimation. Methods: ALCV videos were captured longitudinally in preterm neonates from delivery using a PanOptic® Ophthalmoscope with an iExaminer® adapter (Welch-Allyn). ALCV video frames were manually selected and quantified using semi-automatic image analysis. A predictive model based on ALCV features was compared to gold-standard ultrasound gestational age estimates. Results: A total of 64 image-capture sessions were carried out in 24 neonates. Ultrasound-estimated gestational age and ALCV-predicted gestational age estimates indicate that the two methods are similar (r = 0.78, p < 0.0001). ALCV estimates of gestational age were within 0.11 ± 1.3 weeks of ultrasound estimates. In the final model, gestational age was predicted within ± 1 week for 54% and within ± 2 weeks for 86% of the measures. Conclusions: This novel application of smartphone ophthalmoscopy and ALCV image analysis may provide a safe, accurate and non-invasive technology to estimate postnatal gestational age, especially in low income countries where gestational age may not be known at birth.
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spelling pubmed-63913352019-03-06 Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study Patel, Monalisa Mukherjee, Dibyendu Farsiu, Sina Munoz, Breda Blood, Arlin B. Wilson, Christopher G. Griffin, Jennifer B. Front Pediatr Pediatrics Introduction: Anterior lens capsule vascularity (ALCV) is resorbed in the developing fetus from 27 to 35 weeks gestation. In this pilot study, we evaluated the feasibility and validity of combining smartphone ophthalmoscope videos of ALCV and image analysis for gestational age estimation. Methods: ALCV videos were captured longitudinally in preterm neonates from delivery using a PanOptic® Ophthalmoscope with an iExaminer® adapter (Welch-Allyn). ALCV video frames were manually selected and quantified using semi-automatic image analysis. A predictive model based on ALCV features was compared to gold-standard ultrasound gestational age estimates. Results: A total of 64 image-capture sessions were carried out in 24 neonates. Ultrasound-estimated gestational age and ALCV-predicted gestational age estimates indicate that the two methods are similar (r = 0.78, p < 0.0001). ALCV estimates of gestational age were within 0.11 ± 1.3 weeks of ultrasound estimates. In the final model, gestational age was predicted within ± 1 week for 54% and within ± 2 weeks for 86% of the measures. Conclusions: This novel application of smartphone ophthalmoscopy and ALCV image analysis may provide a safe, accurate and non-invasive technology to estimate postnatal gestational age, especially in low income countries where gestational age may not be known at birth. Frontiers Media S.A. 2019-02-20 /pmc/articles/PMC6391335/ /pubmed/30842940 http://dx.doi.org/10.3389/fped.2019.00043 Text en Copyright © 2019 Patel, Mukherjee, Farsiu, Munoz, Blood, Wilson and Griffin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Pediatrics
Patel, Monalisa
Mukherjee, Dibyendu
Farsiu, Sina
Munoz, Breda
Blood, Arlin B.
Wilson, Christopher G.
Griffin, Jennifer B.
Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study
title Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study
title_full Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study
title_fullStr Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study
title_full_unstemmed Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study
title_short Estimation of Gestational Age via Image Analysis of Anterior Lens Capsule Vascularity in Preterm Infants: A Pilot Study
title_sort estimation of gestational age via image analysis of anterior lens capsule vascularity in preterm infants: a pilot study
topic Pediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391335/
https://www.ncbi.nlm.nih.gov/pubmed/30842940
http://dx.doi.org/10.3389/fped.2019.00043
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