摘要
目的探讨能谱CT在乳腺结节良恶性鉴别中的诊断价值。方法选取2018年7月-2020年4月云浮市人民医院收治的乳腺结节患者60例,将患者分为良性组和恶性组,每组30例,均接受宝石能谱CT平扫及动静脉期增强扫描,获得动脉期、静脉期的70keV单能量图像,通过单能量图像能谱分析的功能,观察乳腺良恶性结节动脉期、静脉期的碘基值,以及不同keV下的CT值及能谱曲线。结果乳腺良性结节的动脉期与静脉期碘基值均低于恶性结节(P<0.05);动脉期与静脉期乳腺良性结节病变在不同keV下的CT值均低于恶性结节(P<0.05);恶性结节CT值在40-65keV呈快速下降型,良性结节CT值在40~65 keV呈弓背向上型,两者在此区间的能谱曲线走行趋势有明显差异。结论能谱CT扫描技术在乳腺良恶性结节的鉴别诊断中具有较高的临床应用价值,值得推广。
Objective To evaluate the value of Energy Spectrum CT in the diagnosis of benign and malignant breast nodules.Methods From July 2018 to April 2020,60 patients with breast nodules in our hospital were selected and divided into benign group and maligna nt group,with 30 patients in each group.All the above patients received gemstone Energy Spectrum CT plain scan and arteriovenous phase enhanced scan to obtain 70 keV single energy images of arterial and venous phases.Through the function of energy spectrum analysis of single energy images,iodine group values of benign and malignant breast nodules in arterial and venous phases,as well as CT values and energy spectrum curves under different keV were observed.Results The iodine-group values of the benign breast nodules were lower than those of the malignant ones(P<0.05).The CT values of benign breast nodules in the arterial and venous stages were all lower than those of malignant nodules under different keV(P<0.05).The CT value of malignant nodules was rapidly decreasing at 40-65kev,while the CT value of benign nodules was arched upward at 40-65kev.There was a significant difference in the trend of energy spectrum curves between the two.Conclusion The CT scanning technique of energy spectrum has high clinical value in the differential diagnosis of benign and malignant breast nodules.
作者
廖玉平
庄伟雄
冯渭昌
唐庆健
Liao Yuping;Zhuang Weixiong;Feng Weichang(The People's Hospital of Yunfu City,Yunfit Yunfu,Guangdong 527300)
出处
《基层医学论坛》
2021年第1期89-91,共3页
The Medical Forum
基金
广东省云浮市卫生局课题立项(2018B19)。
关键词
乳腺良恶性结节
鉴别诊断
能谱CT
单能量成像
Benign and malignant nodules of the breast
Differential diagnosis
Energy spectrum CT
Single energy imaging