Head and Neck Imaging

The Accuracy of Low-dose and Lowrate Multi-slice CT Perfusion Imaging in Differentiating Benign and Malignant Breast Cancer

Author:SHEN Wei-zhong

affiliation:Department of Radiology, Shengze Hospital of Wujiang, Suzhou 215228, Jiangsu Province, China

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Abstract

Objective To analyze the application value of low-dose and low-rate multislice CT perfusion imaging in differentiating benign and malignant breast masses. Methods 68 patients with suspected breast lesions treated in our hospital from July 2012to April 2015 were taken as the research objects. All of them received low-dose and low-rate multi-slice CT perfusion scan. The accuracy of multi-slice CT perfusion imaging in differentiating benign and malignant breast masses was analyzed. The CT imaging features were summarized. Results In the 68 cases of patients with breast lesions, 31 benign cases were confirmed by pathology and 10 cases detected by CT plain scan. The detection rate was 32.26%. 37 cases of breast cancer were confirmed by pathology and 14 cases were detected by CT scan, accounting for 37.84%. The differences in the proportions of CT scan in the detection of benign and malignant breast lesions were not statistically significant (P>0.05). Most of the benign breast lesions in patients were non-mass, with clear edge and without lobulation. Most enhancement was homogeneous; The common signs of patients with breast cancer were unclear edge, visible burr, lobulation and most enhancement was inhomogeneous. CT perfusion parameters such as BF, BV and PS values of patients with breast cancer were higher than those of patients with benign breast lesions (P<0.05). Conclusion Low-dose CT perfusion imaging can clearly show the morphology and blood flow characteristics of benign and malignant breast masses. The objectivity is good, repeatability is high and the value of the differential diagnosis is high.

【Keyword】Lung Neoplasms; Multi-slice CT Perfusion; Differentiation; Diagnosis

【Chart number】R734.2

【Document Identification Number】A

【DOI】 10.3969/j.issn.1672- 5131.2017.05.023