Head and Neck Imaging
Identification and Diagnostic Value of Energy Spectrum CT for Benign and Malignant Pulmonary Lesions
Author:YAO Peng-peng, LI Run-tao
affiliation: Zhengzhou Central Hospital, Zhengzhou 450003, Henan Province, China
PDFAbstract
Objective To explore the identification and diagnostic value of energy spectrum CT for benign and malignant lung lesions. Methods A total of 57 patients with pulmonary lesion examined by X-ray and chest CT from March 2015 to October 2017 were selected for the study. According to the pathological examination results, the patients were divided into benign lesion group (n=21) and malignant lesion group (n=36). The two groups were given energy spectrum CT imaging technique, and the images were analyzed and processed. The single-energy CT values of 40-80 keV compartments in arterial and venous phases, and the energy spectrum slope of 40-70 keV compartments in arterial phase, iodine base value and water base value and difference in arterial and venous phases were compared between the two groups. Results The single-energy CT values of 40-80 keV compartments in arterial and venous phases were lower in benign lesion group than those in malignant lesion group (P<0.05). There was a statistically significant difference in the energy spectrum slope of 40-70 keV compartments in arterial phase (P<0.05). The iodine base value and difference in arterial and venous phases were lower in benign lesion group than those in malignant lesion group (P<0.05). The water base value and difference in arterial and venous phases were higher in benign lesion group than those in malignant lesion group (P<0.05). Conclusion There are some differences in the energy spectrum CT findings of benign and malignant lung lesions. CT diagnostic results have certain reference value for clinical diagnosis.
【Keyword】Energy Spectrum CT Imaging Technique; Benign and Malignant Lung Tumors; Diagnostic Value
【Chart number】R734.2
【Document Identification Number】A
【DOI】10.3969/j.issn.1672- 5131.2019.04.015
Chinese journal of CT and MRI
th17Volume, th 4 Issue
2019Year04Month
Related articles