Diagnostic Effect and Imaging Characteristics of Low-dose CT in Patients with Colorectal Cancer

  • Aihua Xiang
Keywords: Low-dose CT; Patients with colorectal cancer; Diagnostic effect; Imaging characteristics; Clinical study

Abstract

This paper explores the diagnostic effect and imaging characteristics of low-dose CT in patients with colorectal cancer, and combine with soft tissue and bone algorithm for MPR, VR and other reconstruction methods to assist diagnosis. From November 2018 to June 2019, 146 patients with colorectal cancer were selected as the study subjects. According to different scanning modes, the results were divided into experimental group and conventional group. The experimental group was scanned with low dose CT, while the conventional group was scanned with Toshiba 64-slice spiral CT. The image quality, radiation dose and judgment results of the two groups were observed and compared. The qualified rate of image in the experimental group was significantly higher than that in the conventional group, and the difference of image quality data between the two groups was significant (P < 0.05). The scanning range of the two groups was the same. The average CTDLvol, DLP and effective radiation dose (ED) of the experimental group were significantly better than those of the conventional group, and the difference of radiation dose and average data between the two groups was significant (P < 0.05). The diagnostic coincidence rate of the experimental group was significantly higher than that of the conventional group, and the staging data were significantly different, and the results of the comparison between the groups were significant (P < 0.05). Under the low-dose CT diagnosis, 40 patients with colorectal cancer had the highest proportion of rectum and ileocecal lesions. Compared with other types, the data were significantly different and the results were significant (P < 0.05). The diagnostic effect of low-dose CT in patients with colorectal cancer is outstanding, and its imaging characteristics are obvious. It can improve the coincidence rate of clinical diagnosis and is worth popularizing.

Published
2019-09-01