超声生物显微镜眼前段参数测量的标准化与规范化OA

The ultrasound biomicroscope(UBM),leveraging the characteristics of high-frequency ultrasound(50-100 MHz),has overcome the limitations of optical examinations and emerged as a crucial tool for measuring and evaluating anterior segment structures.It is widely applied in various fields,including corneal diseases,glaucoma,cataracts,ocular trauma,and refractive surgery.However,several issues persist in current UBM parameter measurements:the lack of parameter standardization results in different names for the same parameter or inconsistent definitions for parameters with the same name;non-standardized measurement methods lead to poor comparability across different studies;and inadequate and non-detailed image quality standards affect measurement accuracy.These problems undermine the precision of measurements and constrain multi-center research and data interoperability.To address these challenges,this review systematically outlines standardized measurement methods for UBM parameters related to the cornea,anterior chamber,anterior chamber angle,iris,posterior chamber,lens and zonular fibers,and ciliary body.It also summarizes contradictions in parameter definitions across different studies.Furthermore,factors contributing to measurement errors are analyzed,including discrepancies between the assumed and actual sound velocities,interference from contact-based operation on the eyeball,variations in operator experience,and objective differences compared to measurements from other devices.Building on this analysis,we propose improvement strategies,such as establishing standardized examination protocols,clarifying parameter definitions and measurement methods,developing scenario-specific image quality standards,and implementing unified device calibration schemes.In the future,UBM parameter measurement is expected to achieve automated parameter measurement with the aid of artificial intelligence(AI).By integrating three-dimensional imaging technology and Doppler techniques,it will enhance the comprehensiveness of parameters and evolve toward intelligence and multi-dimensionality,providing more holistic support for precision ophthalmic diagnosis and treatment.