Research progress on fundus examination methods and fundus image characteristics of retinopathy of prematurity / 国际眼科杂志(Guoji Yanke Zazhi)

Retinopathy of prematurity(ROP)is the primary cause of preventable childhood blindness. It is hard to screen, diagnose and objectively evaluate. There are various modalities for ROP screening, including various contact or non-contact imaging devices, smart phone-based fundus photography, and artificial intelligence-based fundus image analysis. The diagnosis of ROP is based on visualization and recording of the entire retinal fundus of ROP, which is also the basis for subsequent screening, treatment assessment. Fundus screening is critical for early recognition and facilitates early detection and prompt referral. Potential features may be found by analyzing and summarizing the characteristics of ROP fundus images. Subsequently, timely and targeted ROP prevention and treatment could be performed. Artificial intelligence promotes automatic, quantifiable and objective diagnosis of ROP. This article reviews commonly used clinical fundus examination methods and fundus image characteristics of ROP and summarizes the latest research progress on the application of artificial intelligence in the automatic diagnosis of ROP.

Comparison of wide-angle digital retinal imaging system and binocular indirect ophthalmoscope in retinopathy of prematurity screening / 国际眼科杂志(Guoji Yanke Zazhi)

·AIM:To compare the application effect on patients with retinopathy of prematurity (ROP) screened by wide-angle digital retinal imaging system (RetCam) and binocular indirect ophthalmoscope (BIO). ·METHODS:Totally 1624 cases(3248 eyes) of premature infants were detected by RetCam and BIO in our hospital from May 2014 to May 2017. The screening results of ROP and occurrence of adverse events were compared between two checking methods. ·RESULTS: In the 1 624 cases (3248 eyes) of premature infants,196 cases (392 eyes) of premature infants were detected by RetCam and 189 cases (378 eyes) of premature infants were detected by BIO, there was no statistical significance on staging results and partition pathological results between RetCam and BIO (P>0.05). Taking inspection result of BIO as standard, the sensibility, specificity, false positive rate and positive predictive value was 100. 00%, 99. 51%, 3. 57% and 96.43%, respectively. The adverse event rate of RetCam and BIO was 0.18% and 0.22%, respectively, there was no statistical significance (P>0.05). ·CONCLUSION:RetCam and BIO have similar application efficacy for screening ROP, and RetCam could take the place of BIO as the screening method of ROP.