A New Automated Ultrasound Quantification of Urethral Mobility for Stress Urinary Incontinence: A Feasibility Study

Abstract

Objectives: Stress urinary incontinence (SUI) is a prevalent condition that can significantly affect quality of life. Urethral mobility is an important factor in SUI and transperineal ultrasound (TPUS) imaging can provide clear visualization of this movement; however, its quantification has been limited. An automated system to track and quantify urethral movement could provide richer information and reduce inter-observer effects on measurements. Methods: As proof-of-concept for technique development, we used TPUS cine loops obtained on commercial scanners (GE Healthcare and Philips Healthcare) from consented research volunteers. We developed the tracking software based on fundamental concepts from computer vision, specifically corner detection and optical flow-based tracking algorithms. In doing so we account for inadvertent probe movements by using the symphysis pubis as a reference coordinate system. Results: The system successfully tracks the motion of the urethra during Valsalva maneuvers. It accurately captures and quantifies complex movements, including directional shifts, rotations, displacement vectors of different structures, and the trajectory of motion. These measurements are corrected for any probe movement. We demonstrated the system's efficiency and reliability in near real-time analysis across various ultrasound platforms and video formats. The intraclass correlation coefficients exceeded 0.89 and 0.5 for intra- and inter-rater reliability, respectively. Conclusions: By providing detailed, objective measurements of urogenital movement, this approach has potential to advance the understanding, diagnosis and treatment of SUI, which in turn, can help tailor more effective treatment strategies. This methodology paper confirms the feasibility of automated quantification of urethral mobility.