Application of Self-Adaptive Medical Ultrasonic Imaging Algorithm-Based Obturator Nerve Block in Transurethral Resection of Bladder Tumor

Abstract

The application values of ultrasound-guided obturator nerve block (ONB) optimized by self-adaptive algorithm in transurethral resection of bladder tumor (TURBT) are investigated. For this purpose, total of 50 patients receiving TURBT areselected and randomly rolled into a control group (Ctrl group, ONB under traditional resectoscope) and an experimental group (Exp group, self-adaptive algorithm-based ultrasound-guided ONB (algorithm+ultrasound ONB)). Each group contains 25 cases. The results of the comprehensive assessment of each index showed that the self-adaptive algorithm enhanced the solution of ultrasonoscopy, which was morebeneficial for the intraoperative guidance on block. The success rate of the block in the Exp group reached 100%, higher than that in the Ctrl group (92%). The block time was 6.53±1.28 minutes, which was obviously shorter than that in the Ctrl group (10.34±1.76 minutes). The incidence of complications (IoC) (16%) was significantly lower than that in the Ctrl group (36%). Besides, postoperative visual analogue scale/score (VAS) (2.01±0.84 points) was remarkably lower based on the score in theCtrl group (4.73±1.15 points). The above differences all show statistical significance (P <0.05). To sum up, self-adaptive algorithm could enhance the quality of surgical ultrasound-guided ONB, which showed significant values in the prevention of obturator nerve reflex, postoperative analgesia for patients, and the recovery.