To explore whether preoperative processing can promote the recovery of gastrointestinal function after laparoscopic cholecystectomy (LC) surgery, in the study, an artificial intelligence-based algorithm was used to segment the CT images to assist doctors in decision making. The patients were divided into observation group (balanced anesthesia) and control group (general anesthesia) with SPSS. The observation group received balanced anesthesia half a day before the operation. The method of balanced anesthesia was to induce 0.2 mg/kg midazolam, 3 mg/kg propofol, 2 μg/kg remifentanil, 0.2 mg/kg vecuronium, 4∼5 mg/(kg·h) propofol, and 9∼11 μg/(kg·h) remifentanil continuous intravenous infusion to maintain anesthesia, and it was stopped once the patient defecated; the control group had general anesthesia in the afternoon after the operation, and it was stopped once the patient defecated. The time before the first exhaust and defecation after the surgery as well as the recovery time of bowel sound was recorded, and the degree of abdominal pain, abdominal distension, and gastrointestinal adverse reactions was evaluated at 22 hours, 46 hours, and 70 hours after the surgery. It was found that the accuracy of the artificial intelligence-based segmentation algorithm was 81%. The reconstruction accuracy of multidimensional liver could be observed at any angle, and the reconstruction accuracy was not lower than the resolution of original input CT. The calculation error was less than 9%, and the volume of whole liver, liver segment, preresection liver, and residual liver was less than 9%. The simulation accuracy of virtual liver surgery was not lower than the resolution of original input CT. The time before the first exhaust and defecation was shorter in the observation group versus the control group ( < 0.05). The recovery time of bowel sound in the observation group was shorter than that in the control group ( < 0.05). There was a significant difference in the scores of abdominal distension between the two groups at 22 h and 46 h after surgery ( < 0.05). It suggested that both the observation group and the control group could improve the symptoms of gastrointestinal adverse reactions after surgery. Nevertheless, balanced anesthesia can shorten the time before the first exhaust and defecation after surgery and promote the recovery of postoperative bowel sound. Furthermore, balanced anesthesia can alleviate abdominal distension, abdominal pain, and gastrointestinal adverse reactions, which should be promoted in clinic.

中文翻译：

---

基于人工智能的CT图像分析平衡麻醉下腹腔镜胆囊切除术患者术后恢复情况

为探讨术前处理是否能促进腹腔镜胆囊切除术（LC）术后胃肠功能的恢复，本研究采用基于人工智能的算法对CT图像进行分割，辅助医生决策。采用SPSS软件将患者分为观察组（平衡麻醉）和对照组（全身麻醉）。观察组术前半天进行平衡麻醉。平衡麻醉的方法是诱导0.2毫克/千克咪达唑仑，3mg / kg的丙泊酚，2  μ克/千克瑞芬太尼，0.2毫克/千克维库溴铵，4〜5毫克/（千克·h）的丙泊酚，和9~11  μg/(kg·h)瑞芬太尼持续静脉滴注维持麻醉，排便即停；对照组术后下午进行全身麻醉，患者排便后即停止。记录术后首次排气排便时间及肠鸣音恢复时间，并于术后22小时、46小时、70小时评估腹痛程度、腹胀程度及胃肠道不良反应。手术。发现基于人工智能的分割算法的准确率为81%。多维肝脏重建精度可在任意角度观察，重建精度不低于原始输入CT的分辨率。计算误差小于9%，全肝、肝段、切除前肝、残肝体积小于9%。虚拟肝脏手术的模拟精度不低于原始输入CT的分辨率。与对照组相比，观察组首次排气和排便前的时间更短（ <  0.05)。观察组肠鸣音恢复时间短于对照组（ <  0.05）。两组患者术后 22 h 和 46 h 腹胀评分有显着差异（ <  0.05）。提示观察组和对照组均能改善术后胃肠道不良反应的症状。尽管如此，平衡麻醉可以缩短术后第一次排气和排便的时间，促进术后肠鸣音的恢复。此外，平衡麻醉可减轻腹胀、腹痛和胃肠道不良反应，值得临床推广。