Department of Gastroenterology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan 030013, Shanxi, China.
Clinical Laboratory, Shanxi Children's Hospital, Taiyuan 030013, Shanxi, China.
Contrast Media Mol Imaging. 2022 May 19;2022:1613632. doi: 10.1155/2022/1613632. eCollection 2022.
Based on magnetic resonance imaging (MRI) technology under artificial intelligence algorithm, the postoperative nursing effects of pelvic floor muscle rehabilitation exercise on gastrointestinal tract rectal cancer (RC) patients were investigated. A total of 88 patients receiving RC anus-preserving surgery in hospital were selected. The included patients were divided randomly into the experimental group (44 cases) and the control group (44 cases). Patients in the control group engaged in Kegel motion, while patients in the experimental group underwent self-designed comprehensive pelvic floor training. Anorectum function rating scale and quality of life questionnaire for colorectal cancer (EORTC QLQ-CR29) were utilized to compare and analyze anus functions and living quality of patients in the two groups. Besides, all patients in two groups received MRI examinations, and images were processed by a convolutional neural network (CNN) algorithm. The results showed that in MRI images, there were significant signal differences between lesion tissues and normal tissues. After being processed by an artificial intelligence algorithm, the definition of MRI images was remarkably enhanced with clearer lesion edges. The quality of images was also significantly improved. Besides, the comparison of anus functions of patients in two groups showed that the differences demonstrated statistical meaning after the intervention ( < 0.05). In conclusion, artificial intelligence algorithm-based MRI and comprehensive pelvic floor muscle exercise showed significant application prospects and values in the recovery of patients' intestinal functions after RC anus-preserving surgery.
基于磁共振成像（MRI）技术和人工智能算法，研究了盆底肌康复锻炼对直肠癌（RC）患者术后护理效果。选择了 88 例在医院接受 RC 保肛手术的患者。将纳入的患者随机分为实验组（44 例）和对照组（44 例）。对照组患者进行凯格尔运动，而实验组患者则进行自我设计的综合盆底训练。采用肛门直肠功能评价量表和结直肠癌生活质量问卷（EORTC QLQ-CR29）对两组患者的肛门功能和生活质量进行比较分析。此外，两组患者均接受 MRI 检查，并通过卷积神经网络（CNN）算法对图像进行处理。结果表明，在 MRI 图像中，病变组织与正常组织之间存在明显的信号差异。经过人工智能算法处理后，MRI 图像的清晰度明显增强，病变边缘更加清晰。图像质量也得到了显著改善。此外，两组患者肛门功能的比较显示，干预后差异具有统计学意义（<0.05）。综上所述，基于人工智能算法的 MRI 和综合盆底肌锻炼在 RC 保肛手术后患者肠道功能恢复方面具有显著的应用前景和价值。
