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

Patel, Monalisa; Mukherjee, Dibyendu; Farsiu, Sina; Muñoz, Breda; Blood, Arlin B.; Wilson, Christopher G.; Griffin, Jennifer B.

doi:10.3389/fped.2019.00043

Cited by 6 publications

(4 citation statements)

References 22 publications

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“…However, for SGA neonates, the correlation is weaker and the regression appears to continue up to 39-40 weeks, indicating that ALCV grading could under-estimate the gestation of SGA subjects by an average of 3 weeks compared to AGA neonates (Hittner et al 1981). Recently, Patel et al (2019) found that smartphone ophthalmoscopy and semiautomated image analysis can quantify ALCV features and estimate GA among preterm neonates with a high level of agreement with ultrasound estimated gestation age, providing a novel, rapid, accurate and noninvasive technology to objectively estimate postnatal GA in preterm neonates, especially in areas where GA might not be known at birth.…”

Section: Application Of Alc In Evaluating Gestationmentioning

confidence: 99%

Anterior lens capsule: biomechanical properties and biomedical engineering perspectives

Huang

Guo

et al. 2020

Acta Ophthalmologica

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Anterior lens capsule, as the thickest basement membrane in the body, has its unique physiology characteristics. In ophthalmology, many attempts have been made to culture different kinds of cells including iris pigment epithelial cells, retinal pigment epithelial cells, corneal epithelium and endothelium cells, trabecular meshwork cells etc and anterior lens capsule has been confirmed to be served as an excellent scaffold for the growth and expansion of different ocular cells. Furthermore, anterior lens capsule also has unique potential in gestation evaluation and the treatment of various ocular diseases, including corneal ulcer, glaucoma, age-related macular degeneration and macular hole, etc. Here, we provide an overview of the biomechanical properties and biomedical engineering perspectives of anterior lens capsule.

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Section: Application Of Alc In Evaluating Gestationmentioning

confidence: 99%

Anterior lens capsule: biomechanical properties and biomedical engineering perspectives

Huang

Guo

et al. 2020

Acta Ophthalmologica

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“…A recent systematic review of GA assessment methods indicated that the Dubowitz score dates 95% of pregnancies to within ±2.6 weeks of ultrasound-estimated GA, while the Ballard score dates pregnancies to within ±3.8 weeks of ultrasound-estimated GA [10]. Another approach to postnatal GA estimation is through the evaluation of the newborn's anterior lens capsule vascularity (ALCV); the disappearance of ALCV is a normal embryological process that occurs between 27-and 34-weeks' gestation [11]. ALCV can be evaluated within 48 h of birth and is a good indicator of preterm birth (correlation: −0.719 [12]), as the vessels are usually completely resorbed by 35 weeks' gestation [11].…”

Section: Introductionmentioning

confidence: 99%

“…Another approach to postnatal GA estimation is through the evaluation of the newborn's anterior lens capsule vascularity (ALCV); the disappearance of ALCV is a normal embryological process that occurs between 27-and 34-weeks' gestation [11]. ALCV can be evaluated within 48 h of birth and is a good indicator of preterm birth (correlation: −0.719 [12]), as the vessels are usually completely resorbed by 35 weeks' gestation [11]. This approach is highly dependent on environmental conditions, requires access to technology capable of producing highquality images, and is of limited utility in identifying late preterm infants with a gestational age above 35 weeks [12].…”

Section: Introductionmentioning

confidence: 99%

Postnatal gestational age estimation via newborn screening analysis: application and potential

Wilson

Murphy

Ducharme

et al. 2019

Expert Review of Proteomics

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Introduction: Preterm birth is a major global health concern, contributing to 35% of all neonatal deaths in 2016. Given the importance of accurately ascertaining estimates of preterm birth and in light of current limitations in postnatal gestational age (GA) estimation, novel methods of estimating GA postnatally in the absence of prenatal ultrasound are needed. Previous work has demonstrated the potential for metabolomics to estimate GA by analyzing data captured through routine newborn screening. Areas covered: Circulating analytes found in newborn blood samples vary by GA. Leveraging newborn screening and demographic data, our group developed an algorithm capable of estimating GA postnatally to within approximately 1 week of ultrasound-validated GA. Since then, we have built on the model by including additional analytes and validating the model's performance through internal and external validation studies, and through implementation of the model internationally. Expert opinion: Currently, using metabolomics to estimate GA postnatally holds considerable promise but is limited by issues of cost-effectiveness and resource access in low-income settings. Future work will focus on enhancing the precision of this approach while prioritizing point-of-care testing that is both accessible and acceptable to individuals in low-resource settings.

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“…The PanOptic ophthalmoscope was used qualitatively for patients’ fundus imaging in the emergency room [ 23 ] and optic disc assessment [ 24 ], for diabetic retinopathy screening [ 7 , 9 ] and medical students ophthalmoscopy skills assessment [ 8 ]. There are some studies using the PanOptic device, quantitatively analyzing the vessel diameter in the retina [ 20 ] and anterior lens capsule vascularity only [ 22 ]. In addition, vessel segmentation and analysis based on fundus photos taken with the PanOptic ophthalmoscope were also done in previous studies [ 20 , 21 ].…”

Section: Discussionmentioning

confidence: 99%

Characterization of the retinal vasculature in fundus photos using the PanOptic iExaminer system

Wei

Xiao

et al. 2020

Eye and Vis

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Background The goal was to characterize retinal vasculature by quantitative analysis of arteriole-to-venule (A/V) ratio and vessel density in fundus photos taken with the PanOptic iExaminer System. Methods The PanOptic ophthalmoscope equipped with a smartphone was used to acquire fundus photos centered on the optic nerve head. Two fundus photos of a total of 19 eyes from 10 subjects were imaged. Retinal vessels were analyzed to obtain the A/V ratio. In addition, the vessel tree was extracted using deep learning U-NET, and vessel density was processed by the percentage of pixels within vessels over the entire image. Results All images were successfully processed for the A/V ratio and vessel density. There was no significant difference of averaged A/V ratio between the first (0.77 ± 0.09) and second (0.77 ± 0.10) measurements (P = 0.53). There was no significant difference of averaged vessel density (%) between the first (6.11 ± 1.39) and second (6.12 ± 1.40) measurements (P = 0.85). Conclusions Quantitative analysis of the retinal vasculature was feasible in fundus photos taken using the PanOptic ophthalmoscope. The device appears to provide sufficient image quality for analyzing A/V ratio and vessel density with the benefit of portability, easy data transferring, and low cost of the device, which could be used for pre-clinical screening of systemic, cerebral and ocular diseases.

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

Abstract: 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.

Cited by 6 publications

References 22 publications

Anterior lens capsule: biomechanical properties and biomedical engineering perspectives

Anterior lens capsule: biomechanical properties and biomedical engineering perspectives

Postnatal gestational age estimation via newborn screening analysis: application and potential

Characterization of the retinal vasculature in fundus photos using the PanOptic iExaminer system

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