Literature DB >> 33049383

Application of Computed Tomography Imaging in Diagnosis of Endocrine Nerve of Gastric Cancer and Nursing Intervention Effect.

Zhifen Qian1, Jing Wang2.   

Abstract

In this article, some parameters and characteristics of computed tomography (CT) images in patients with gastric cancer are analyzed and the application of CT images in the diagnosis of gastric cancer endocrine nerves and the impact of nursing intervention on the quality and mental state of CT images of patients with gastric cancer are discussed. First, all patients were scanned with CT, and the CT values of the normal stomach wall and all lesions at different single-energy levels were recorded separately. Second, the improved back propagation network model was applied to realize the diagnosis of gastric cancer through the analysis of various features of CT images. The effect of nursing intervention on the image quality and mental state of CT imaging of patients with gastric cancer was studied. The results show that the energy spectrum curve of CT images and the improved back propagation network model are helpful for the initial diagnosis and identification of gastric cancer. Nursing intervention has a good influence on the clinical examination, image diagnosis, and psychological state of patients with gastric cancer, and it is easy for patients to undergo image diagnosis and examination according to correct operating procedures.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Application; CT image; Gastric cancer; Nursing intervention

Year:  2020        PMID: 33049383     DOI: 10.1016/j.wneu.2020.10.005

Source DB:  PubMed          Journal:  World Neurosurg        ISSN: 1878-8750            Impact factor:   2.104


  1 in total

1.  Application of nursing intervention based on the IKAP model in self-management of patients with gastric cancer.

Authors:  Ling Yin; Wenhong Zhang; Lianhua Liu; Lihua Guo; Meihua Guo; Xiao He; Lixia Zhu
Journal:  Am J Transl Res       Date:  2022-09-15       Impact factor: 3.940

  1 in total

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