Operating Room, Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang 157011, Heilongjiang, China.
Department of Obstetrics, Affiliated Hongqi Hospital of Mudanjiang Medical University, Mudanjiang 157011, Heilongjiang, China.
Comput Intell Neurosci. 2022 Mar 8;2022:2180788. doi: 10.1155/2022/2180788. eCollection 2022.
This research aimed to discuss the application of traditional nonlocal mean (NLM) algorithm-based computerized tomography (CT) images in intervention evaluation of the nursing for patients performing laparoscopy-guided radical surgery of colon cancer. A total of 100 patients who were diagnosed with colon cancer after enteroscopy and performed laparoscopic radical surgery were chosen as the research objects. They were divided into an observation group (comprehensive nursing in operation room) and a control group (routine nursing), each of which included 50 cases. All cases received CT examination. Meanwhile, the improved traditional NLM (INLM) algorithm was proposed, and the effects of image reconstruction were analyzed to improve the quality of CT images. The result showed that structural similarity index measure (SSIM) and figure of merit (FOM) of INLM were obviously higher than those of filtered back projection (FBP) algorithm and NLM algorithm, and the average running time was significantly less than that of FBP algorithm and NLM algorithm ( < 0.05). The operation time and the amount of intraoperative blood loss of patients in the observation group were both less than those of patients in the control group, and differences had statistical significance ( < 0.05). Besides, the time of getting out of bed, ventilation recovery time, postoperative meal time, stomach tube encumbrance time, and catheter encumbrance time of patients in the observation group were all less than those of patients in the control group, and the differences had statistical significance ( < 0.05). In the observation group, there were 3 cases with postoperative complications, and 2 out of them got incision infection while 1 suffered from constipation. In contrast, there were 9 cases with postoperative complications in the control group, 3 of which were patients with incision infection, and 2 suffered from urinary retention while the other 4 suffered from constipation. According to the above results, the INLM algorithm proposed in this research could improve the image reconstruction accuracy of traditional algorithm, shorten the running time, and enhance the overall diagnostic efficiency. The comprehensive nursing in operation room with laparoscopic radical surgery of colon cancer could improve the cure rate and prognosis of patients, so it was worthy of clinical promotion and application.
本研究旨在探讨传统非局部均值（NLM）算法的计算机断层扫描（CT）图像在结肠癌腹腔镜根治术护理干预评估中的应用。选择经内镜检查诊断为结肠癌并行腹腔镜根治术的 100 例患者为研究对象，将其分为观察组（手术室综合护理）和对照组（常规护理），每组 50 例。所有患者均接受 CT 检查。同时，提出了改进的传统 NLM（INLM）算法，分析图像重建效果，提高 CT 图像质量。结果显示，INLM 的结构相似性指数度量（SSIM）和优值（FOM）明显高于滤波反投影（FBP）算法和 NLM 算法，平均运行时间明显小于 FBP 算法和 NLM 算法（ < 0.05）。观察组患者的手术时间和术中出血量均少于对照组，差异有统计学意义（ < 0.05）。此外，观察组患者的下床时间、通气恢复时间、术后进食时间、胃管留置时间和导尿管留置时间均短于对照组，差异有统计学意义（ < 0.05）。观察组术后并发症 3 例，其中切口感染 2 例，便秘 1 例；对照组术后并发症 9 例，其中切口感染 3 例，尿潴留 2 例，便秘 4 例。综上所述，本研究提出的 INLM 算法可以提高传统算法的图像重建精度，缩短运行时间，提高整体诊断效率。结肠癌腹腔镜根治术手术室综合护理可以提高患者的治愈率和预后，值得临床推广应用。
