Abstract
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 (P < 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 (P < 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 (P < 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.
Highlights
Colon cancer is a kind of common malignant tumor occurring in colon parts of digestive tract, and it is the third commonest tumor among all gastrointestinal cancers [1, 2].e clinical manifestations of colon cancer vary from the size and position of its lesions to the pathological type [3–5]
A total of 100 patients who were diagnosed with colon cancer after enteroscopy and experienced laparoscopic radical surgery in hospital between December 2018 and March 2021 were chosen as the research objects. ese patients ranged from 25 to 65 years old. ey were divided into an observation group and a control group. is research had been approved by the ethics committee of the hospital, and patients as well as their family members were informed about the research
A total of 100 patients who were diagnosed with colon cancer after enteroscopy examination and received laparoscopic radical surgery were chosen as the research objects, and they were divided into an observation group and a control group
Summary
Colon cancer is a kind of common malignant tumor occurring in colon parts of digestive tract, and it is the third commonest tumor among all gastrointestinal cancers [1, 2].e clinical manifestations of colon cancer vary from the size and position of its lesions to the pathological type [3–5]. There is no clinical symptom among many patients with colon cancer at early stage, but a series of common symptoms related to colon cancer emerged as the disease. With the improvement of laparoscopic technology and the update of medical equipment, laparoscopy-guided radical surgery can be adopted in benign lesions of stomach and stomach cancer at early stage, and in the treatment of advanced gastric cancer gradually [9]. The diagnosis of colon cancer by CT imaging examination is valuable because it can detect small and hidden lesions in colon and rectum and evaluate the relationship between cancer and peripheral tissues. Artificial intelligence algorithm can address the problems in CT images, such as noise, and avoid image details being blocked by fine particles. E application of artificial intelligence algorithm in CT images can help diagnose diseases more accurately and avoid human errors [17]. As one of artificial intelligence algorithms, NLM algorithm is widely applied in CT image recognition
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