Detection of Potentially Severe Retinopathy of Prematurity by Remote Image Grading

Identification of treatment-warranted retinopathy of prematurity by neonatal nurse specialist

OBJECTIVE

To determine the accuracy in the identification of infants with treatment-warranted retinopathy of prematurity (ROP) by a trained and experienced ROP neonatal nurse specialist compared with skilled ophthalmologists.

METHODS

A single-centre, prospective, blinded, agreement study was performed on a cohort of infants undergoing ROP screening. An experienced ROP neonatal nurse specialist obtained retinal images using a wide field digital retinal imaging system (WFDRI) on 127 infants and identified those with treatment-warranted ROP. This interpretation was compared with the interpretation of the same images by skilled ophthalmologists. The accuracy of the ROP nurse specialist's interpretation was assessed for sensitivity and specificity compared with the gold standard interpretation by the ophthalmologists.

RESULTS

The ROP nurse specialist performed 345 ROP screens on both eyes of 127 infants. The mean (SD) gestation age (weeks) and birth weight (g) of the infants screened was 26.8 (2.8) and 929 (327), respectively. The nurse specialist correctly identified all 8 infants with treatment-warranted ROP and 118/119 infants without. The sensitivity and specificity (95% CI) of ROP screening episodes were 100% (63% to 100%) and 99.7% (98.4% to 100.0%), respectively.

CONCLUSION

A trained and experienced ROP neonatal nurse specialist can correctly identify infants with treatment-warranted ROP using WFDRI. Further work is required to examine the generalisability of this finding and its impact on ROP screening services.

Progression from preplus to plus disease in the Telemedicine Approaches to Evaluating Acute-Phase Retinopathy of Prematurity (e-ROP) Study: incidence, timing, and predictors

PURPOSE

To determine the incidence of and timing and predictors for progression from pre-plus to plus disease, based on evaluation of images.

METHODS

Two trained readers independently evaluated posterior pole images of infants from 13 North American centers for pre-plus/plus disease, stage, and zone of retinopathy of prematurity (ROP). Discrepancies between readers were adjudicated. To be eligible for analysis, eyes had to have at least two imaging sessions, the earlier one with pre-plus disease.

RESULTS

Of 681 eyes of 444 infants with pre-plus first detected at mean postmenstrual age (PMA) of 35.5 ± 2.1 weeks, 54 (7.9%) progressed to plus disease at a mean PMA of 37.6 ± 2.4 weeks with the mean interval for progression of 2.7 weeks (range, 0.4-8.9 weeks). Progression rate was higher for eyes with larger number of quadrants of pre-plus (44% for eyes with four quadrants vs 4% with one quadrant [P < 0.0001]), earlier PMA with pre-plus (18% for 32 weeks' PMA vs 3% for PMA of >37 weeks [P = 0.02]), higher ROP stage (12% for stage 3, 2.5% for no ROP [P < 0.0001]), lower ROP zone (24% for zone I, 6% for zone II or no ROP [P < 0.0001]) at the time of first pre-plus detection.

CONCLUSIONS

Based on image evaluation, 8% of eyes progressed from pre-plus to plus disease at a mean interval of 3 weeks. Pre-plus in multiple quadrants, higher stages of ROP, and lower zones of ROP were associated with higher risk of progression. Image evaluation for pre-plus may help in the identification of high-risk eyes for developing plus disease.

Scope of telemedicine in neonatology

There is a widespread shortage of physicians worldwide, especially in rural areas. This shortage is more prevalent when it comes to subspecialty care, even in developed countries. One way to provide access to specialty care is using technology via telemedicine. Telemedicine has evolved over the last two decades, and its use is becoming widespread in developed countries. However, its use in the neonatal population is still limited and practiced only in some centers. It is now apparent that telemedicine can be successfully used in the neonatal population for screening premature infants for retinopathy of prematurity, congenital heart disease, bedside clinical rounds, neonatal resuscitation with the support of a tertiary care hospital, and family support. This avoids unnecessary transfer and appears to provide the same quality of care that the baby would have received at the tertiary care facility. This approach also improves family satisfaction, as the baby and the mother are kept together, and reduces the cost of care. This review focuses on the use of telemedicine in neonatal care, concentrating on the main areas where telemedicine has been shown to be successful and effective, including the status of telemedicine in China.

Diagnostic accuracy of a digital fundus photographic system for detection of retinopathy of prematurity requiring treatment (ROP-RT)

Objectives

To evaluate the diagnostic accuracy of a digital fundus photographic system that consists of taking fundus photographs by a trained technician using a RetCam^® shuttle and interpreting fundus images by an expert to detect Retinotapthy of Prematurity requiring treatment (ROP-RT) which defined as type I ROP according to the Early Treatment for ROP study (ETROP).

Materials and methods

One hundred infants were examined by (1) an expert ophthalmologist experienced in ROP care using indirect ophthalmoscopy; (2) digital wide-field imaging by a trained technician using a RetCam^® shuttle and images were sent remotely for interpretation by two ophthalmologists experienced in ROP care (Reader A, and Reader B); and (3) local ophthalmologists using indirect ophthalmoscopy. The diagnostic acurracy consisting of sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+), and negative likelihood ratio (LR-) were calculated. Agreement between all examiners and readers were evaluated.

Results

A total of 100 infants (mean gestational age 31.1 weeks, mean birth weight 1,511.1 grams) participated in the study. Nine infants were classified as ROP-RT. Reader A and B had very good agreement in detection of ROP- RT (Kappa 1.00, 95% CI 1.00, 1.00). For reader A, diagnostic performance parameters (95% confidence intervals) for detecting ROP-RT were; sensitivity 100.0% (66.4, 100.0), specificity 97.8% (92.1, 99.7), PPV 81.8% (48.2, 97.7), NPV 100.0% (95.8, 100.0), LR+ 44.5 (11.3, 175.2), and LR- 0.1 (0.0, 0.8). For reader B these were; sensitivity 100.0% (66.4, 100.0), specificity 95.6% (89.0, 98.8), PPV 69.2% (38.6, 90.9), NPV 100.0% (95.8, 100.0), LR+ 22.5 (8.6, 58.6), LR- 0.1 (0.0, 0.8). No adverse events were reported.

Conclusions

Diagnosis of ROP-RT from RetCam^® images taken by trained technicians and evaluated remotely by an expert ophthalmologist had good diagnostic accuracy for screening purposes.