Research advances in contact lens associated bacterial keratitis / 国际眼科杂志(Guoji Yanke Zazhi)

Contact lens(CL)is currently one of the most common methods of vision correction, with more than 140 million users worldwide and the demand is rising yearly as constantly development of materials and features. Wearing CL can lead to a variety of complications such as dry eye, corneal abrasions, giant papillary conjunctivitis, and infectious keratitis is one of the most severe complications. According to research, bacteria account for 80%～95% of the pathogens that cause CL-associated infective keratitis, it may have been related to the bacterial composition, virulence mechanism, biofilm formation and the combined effect of the lens itself and the process of use, which is prone to introducing pathogens, reducing antimicrobial capacity of the cornea and tears and causing ocular surface hypoxia and ocular surface inflammation. Overnight and prolonged lens wear, irregular lens purchase, use and care procedures can also be risk factors for bacterial infections. This article reviews the studies on the pathogenesis, risk factors, diagnosis, treatment and prevention of CL-related bacterial keratitis.

Automatic evaluation system for ultrasound biomicroscopy images of anterior chamber angle based on deep learning algorithm / 国际眼科杂志(Guoji Yanke Zazhi)

AIM: To explore the clinical application value of analysis system for ultrasound biomicroscopy(UBM)images of anterior chamber angle(ACA)based on deep learning algorithm.METHODS: A total of 4 196 UBM images were obtained from 675 patients(1 130 eyes)at the Eye Center of Renmin Hospital of Wuhan University from January 2021 to June 2022 were collected to build an image dataset. Using Unet++network to automatically segment ACA tissue, a support vector machine(SVM)algorithm was developed to automatically classify opening and closing of chamber angle, and an algorithm to automatically locate the sclera spur and measure ACA parameters was developed. Furthermore, a total of 631 UBM images of 127 subjects(221 eyes)at Huangshi Aier Eye Hospital and 594 UBM images of 188 subjects(257 eyes)at Zhongnan Hospital of Wuhan University were selected to evaluate the performance of the system under different environments.RESULTS: The accuracy of the analysis system constructed in this study for chamber angle opening and closing was 95.71%. The intra-class correlation coefficient(ICC)values of all ACA angle parameters were greater than 0.960. ICC values of all ACA thickness parameters were greater than 0.884. The accurate measurement of ACA parameters depended in part on the accurate location of the scleral spur.CONCLUSION: The intelligent analysis system constructed in this study can accurately and effectively evaluate ACA images automatically and is a potential screening tool for the rapid identification of ACA structures.