Department of Anesthesia Surgery, Changsha Fourth Hospital, Changsha, 410006 Hunan, China.
Comput Math Methods Med. 2022 May 21;2022:4243244. doi: 10.1155/2022/4243244. eCollection 2022.
To analyze the investigation of the application effects of different doses of dexmedetomidine (Dex) with combined spinal and epidural anesthesia nursing on analgesia after transurethral resection of prostate (TURP) by intelligent algorithm-based magnetic resonance imaging (MRI), MRI imaging segmentation model of mask regions with convolutional neural network (Mask R-CNN) features was proposed in the research. Besides, the segmentation effects of Mask R-CNN, U-net, and V-net algorithms were compared and analyzed. Meanwhile, a total of 184 patients receiving TURP were selected as the research objects, and they were divided into A, B, C, and D groups based on random number table method, each group including 46 cases. Patients in each group were offered different doses of Dex, and visual analogue scale (VAS) and Ramsay scores of different follow-up visit time, use of other analgesics, the incidence of postoperative cystospasm, and nursing satisfaction of patients in four groups were compared. The results demonstrated that Dice similarity coefficient (DSC) value, specificity, and positive predictive value of Mask R-CNN algorithm were 0.623 ± 0.084, 98.61%, and 69.57%, respectively, all of which were higher than those of U-net and V-net algorithms. Pain VAS scores and the incidence of cystospasm at different time periods of groups B and C were both significantly lower than those of group D ( < 0.05). Ramsay scores of groups B and C at 8 hours, 12 hours, 24 hours, and 48 hours after the operation were all remarkably higher than those in group D ( < 0.05). Besides, nursing satisfaction of groups B and C was obviously superior to that in group D, and the difference demonstrated statistical meaning ( < 0.05). The differences revealed that Dex showed excellent analgesic and sedative effects and could effectively reduce the incidence of complications after TURP, including cystospasm and nausea. In addition, it helped improve nursing satisfaction and patient prognosis.
为了通过基于智能算法的磁共振成像（MRI）分析不同剂量右美托咪定（Dex）联合脊髓-硬膜外麻醉护理对经尿道前列腺切除术（TURP）后镇痛的应用效果，本研究提出了一种基于卷积神经网络（Mask R-CNN）特征的掩模区域 MRI 成像分割模型。此外，还比较和分析了 Mask R-CNN、U-net 和 V-net 算法的分割效果。同时，选择 184 例接受 TURP 的患者作为研究对象，采用随机数字表法将其分为 A、B、C、D 四组，每组 46 例。四组患者均采用不同剂量的 Dex，比较四组患者不同随访时间的视觉模拟评分（VAS）和 Ramsay 评分、其他镇痛药使用情况、术后膀胱痉挛发生率和患者护理满意度。结果表明，Mask R-CNN 算法的 Dice 相似系数（DSC）值、特异度和阳性预测值分别为 0.623 ± 0.084、98.61%和 69.57%，均高于 U-net 和 V-net 算法。B 组和 C 组各时间段的疼痛 VAS 评分和膀胱痉挛发生率均明显低于 D 组（ < 0.05）。B 组和 C 组术后 8 小时、12 小时、24 小时和 48 小时的 Ramsay 评分均明显高于 D 组（ < 0.05）。此外，B 组和 C 组的护理满意度明显优于 D 组，差异具有统计学意义（ < 0.05）。差异表明，Dex 具有良好的镇痛和镇静作用，可有效降低 TURP 后并发症（包括膀胱痉挛和恶心）的发生率。此外，还能提高护理满意度和患者预后。
