7 results match your criteria developed tr-rop

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Single-Examination Risk Prediction of Severe Retinopathy of Prematurity.

Pediatrics 2021 Dec;148(6)

Departments of Ophthalmology.

Background And Objectives: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness. Screening and treatment reduces this risk, but requires multiple examinations of infants, most of whom will not develop severe disease. Previous work has suggested that artificial intelligence may be able to detect incident severe disease (treatment-requiring retinopathy of prematurity [TR-ROP]) before clinical diagnosis. Read More

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December 2021

Optimization of retinopathy of prematurity screening in a tertiary neonatal unit in Northern Greece based on 16-year data.

J Perinatol 2021 Sep 1. Epub 2021 Sep 1.

2nd Department of Ophthalmology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, "Papageorgiou" General Hospital of Thessaloniki, Thessaloniki, Greece.

Objective: The optimal modification of retinopathy of prematurity (ROP) screening policy in our unit, by tightening the applicable screening criteria, without missing treatment-requiring ROP (TR-ROP).

Study Design: Retrospective analysis of screened infants with gestational age (GA) < 32 weeks and/or birth weight (BW) < 1501 g as well as cases beyond these thresholds but with comorbidities (April 2004 to April 2020).

Result: Of 1560 included infants, 18. Read More

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September 2021

Validation of the DIGIROP-birth model in a Chinese cohort.

BMC Ophthalmol 2021 May 27;21(1):236. Epub 2021 May 27.

Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, No.253 Gongyedadao Middle Road, Guangzhou, 510282, Guangdong, China.

Background: We aimed to validate the predictive performance of the DIGIROP-Birth model for identifying treatment-requiring retinopathy of prematurity (TR-ROP) in Chinese preterm infants to evaluate its generalizability across countries and races.

Methods: We retrospectively reviewed the medical records of preterm infants who were screened for retinopathy of prematurity (ROP) in a single Chinese hospital between June 2015 and August 2020. The predictive performance of the model for TR-ROP was assessed through the construction of a receiver-operating characteristic (ROC) curve and calculating the areas under the ROC curve (AUC), sensitivity, specificity, and positive and negative predictive values. Read More

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DIGIROP efficacy for detecting treatment-requiring retinopathy of prematurity in a Portuguese cohort.

Eye (Lond) 2021 Mar 12. Epub 2021 Mar 12.

LUZ Saúde, Hospital da Luz de Lisboa, Lisbon, Portugal.

Background/objectives: To determine the efficacy of the DIGIROP model in detecting treatment-requiring retinopathy of prematurity (TR-ROP) in a Portuguese cohort.

Subjects/methods: Multicentre, retrospective cohort study of all consecutive preterm infants who underwent ROP screening from April 2012 to May 2019 in two neonatal units. Gestational age (GA), birth weight (BW) and sex were inserted in the DIGIROP platform. Read More

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The validity of telemedicine-based screening for retinopathy of prematurity in the Premature Eye Rescue Program in Hungary.

J Telemed Telecare 2021 Jul 23;27(6):367-375. Epub 2019 Oct 23.

Neonatal Emergency and Transport Service of the Peter Cerny Foundation, Budapest, Hungary.

Purpose: To assess the validity of wide-field digital imaging (WFDI) and telemedicine-based screening compared with examination by binocular indirect ophthalmoscopy (BIO) and to present some of the results from the first five years of telemedicine-based screening in the Premature Eye Rescue Program in Hungary.

Methods: We performed a retrospective analysis in two periods that aimed to assess (a) the validity of retinal digital imaging and (b) routine bedside screening. The validity was assessed in two neonatal intensive care units (NICUs), one in the First Department of Paediatrics and the other in the Second Department of Obstetrics and Gynaecology, Semmelweis University. Read More

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A Quantitative Severity Scale for Retinopathy of Prematurity Using Deep Learning to Monitor Disease Regression After Treatment.

JAMA Ophthalmol 2019 Jul 3. Epub 2019 Jul 3.

Department of Ophthalmology, Casey Eye Institute, Oregon Health & Science University, Portland.

Importance: Retinopathy of prematurity (ROP) is a leading cause of childhood blindness worldwide, but treatment failure and disease recurrence are important causes of adverse outcomes in patients with treatment-requiring ROP (TR-ROP).

Objectives: To apply an automated ROP vascular severity score obtained using a deep learning algorithm and to assess its utility for objectively monitoring ROP regression after treatment.

Design, Setting, And Participants: This retrospective cohort study used data from the Imaging and Informatics in ROP consortium, which comprises 9 tertiary referral centers in North America that screen high volumes of at-risk infants for ROP. Read More

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Risk Score for Predicting Treatment-Requiring Retinopathy of Prematurity (ROP) in the Telemedicine Approaches to Evaluating Acute-Phase ROP Study.

Ophthalmology 2016 10 2;123(10):2176-82. Epub 2016 Aug 2.

Division of Pediatric Ophthalmology, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Purpose: To develop a risk score for predicting treatment-requiring retinopathy of prematurity (TR-ROP) in the Telemedicine Approaches to Evaluating Acute-Phase Retinopathy of Prematurity (e-ROP) study.

Design: Second analyses of an observational cohort study.

Participants: Infants with birth weight (BW) <1251 g who had ≥1 imaging session by 34 weeks of postmenstrual age (PMA) and ≥1 subsequent retinopathy of prematurity (ROP) examination for determining TR-ROP by study-certified ophthalmologists. Read More

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October 2016
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