This work aimed to study the adoption of obturator nerve block (ONB) based on adaptive medical ultrasound imaging under C-means algorithm in transurethral resection of bladder tumor (TURBT). 120 patients with bladder tumors were diagnosed by C-means algorithm-based ultrasound imaging and were enrolled into group A (epidural anesthesia + resection), group B (general anesthesia), and group C (epidural anesthesia + ONB), each with 40 cases. The accuracy of the detection method, noise level, and complications before and after the operation were compared. All patients received TURBT for treatment. There was no significant difference in the general information of patients in each group (). As a result, the correct segmentation rate of the tumor region segmented by ultrasound imaging by C-means algorithm reached 95.6%. The incidence of obturator nerve reflex (ONR) in group A (7.5%) was greatly inferior to groups B and C (). The length of hospital stay in group A was (4.01 ± 1.43) days, which was notably different from groups B and C, with considerable difference among the three (). In short, the adaptive medical ultrasound imaging under C-means algorithm was more accurate in the diagnosis of bladder tumors. Moreover, ONB can effectively reduce the ONR and the incidence of complications in patients.

中文翻译：

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基于模糊 C 均值算法的闭孔神经阻滞在自适应超声成像下应用于膀胱肿瘤

本工作旨在研究基于C-means算法下的自适应医学超声成像的闭孔神经阻滞（ONB）在经尿道膀胱肿瘤切除术（TURBT）中的应用。120例膀胱肿瘤患者经C-means算法超声影像诊断，分为A组（硬膜外麻醉+切除）、B组（全身麻醉）、C组（硬膜外麻醉+ONB），每组40例. 比较手术前后检测方法的准确性、噪声水平和并发症。所有患者均接受 TURBT 治疗。各组患者一般资料无显着差异（）。结果，通过C-means算法超声成像分割的肿瘤区域的正确分割率达到了95.6%。A组闭孔神经反射（ONR）发生率（7.5%）明显低于B组和C组（）。A组住院天数为（4.01±1.43）天，与B组和C组有显着差异，三者间差异显着（）。总之，C-means算法下的自适应医学超声成像对膀胱肿瘤的诊断更加准确。而且，ONB可以有效降低患者ONR和并发症的发生率。