能谱CT多参数成像对原发性肺癌病理类型的判断价值  被引量:1

Application of spectral CT multi-parameter in differentiating pathological types of lung cancer

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作  者:秦卫和[1] 刘亮[1] 文兵 陈学文[1] 郑景宜 沈丹 QIN Weihe;LIU Liang;WEN Bin;CHEN Xuewen;ZHENG Jingyi;SHEN Dan(Department of Radiology,Yiyang Central Hospital affiliated to Hunan University of Chinese Medicine,Yiyang,Hunan 413000,China)

机构地区:[1]益阳市中心医院放射科,湖南益阳413000

出  处:《影像研究与医学应用》2023年第3期35-37,共3页Journal of Imaging Research and Medical Applications

基  金:湖南省科技厅临床医疗技术创新引导项创目(2020SK52503)。

摘  要:目的:探讨能谱CT多参数成像在肺癌病理类型鉴别诊断中的价值。方法:选取2018年10月—2022年8月就诊于益阳市中心医院的99例肺癌患者,按病理类型分为肺鳞癌组(n=36)、肺腺癌组(n=41)及小细胞肺癌组(n=22),所有患者均行能谱CT平扫及增强扫描。结果:小细胞肺癌组、肺鳞癌组及肺腺癌组的能谱曲线斜率及碘含量之间差异有统计学意义(P<0.05);小细胞肺癌组、肺鳞癌组及肺腺癌组的标准化碘浓度在动脉期的差异无统计学意义(P>0.05),在静脉期差异有统计学意义,腺癌组大于鳞癌组,鳞癌组大于小细胞癌组(P<0.05)。小细胞肺癌组、鳞癌组及腺癌组的有效原子序数在平扫、动脉期及静脉期差异均无统计学意义(P>0.05)。结论:能谱CT多参数成像能够为肺癌病理类型的鉴别诊断提供帮助。Objective To explore the application of spectral CT multi-parameter in differentiating pathological types of lung cancer.Methods Select 99 lung cancer patients who visited Yiyang Central Hospital from October 2018 to August 2022,and divide them into lung squamous cell carcinoma group(n=36),lung adenocarcinoma group(n=41)and small cell lung cancer group(n=22)according to their pathological types,all patients underwent chest plain and enhanced CT scan with spectral CT.Results There were statistical differences present in the slopes of the energy profiles and the the iodine concentration(IC)in small cell lung cancer,lung squamous cell carcinoma and lung adenocarcinoma group(P<0.05);There was no statistical difference in normalized iodine concentration(NIC)in small cell lung cancer,lung squamous cell carcinoma and lung adenocarcinoma group in the arterial phase(P>0.05),statistical differences exist during the venous phase,adenocarcinoma was higher than squamous carcinoma and small cell carcinoma(P<0.05).There was no statistical difference in the effective-Z(Zeff)of small cell lung cancer,squamous cell carcinoma and adenocarcinoma in plain CT,arterial phase and venous phase(P>0.05).Conclusion Spectral CT multi-parameter can help the differential diagnosis of lung cancer.

关 键 词:肺肿瘤 体层摄影术 X线计算机 能谱CT 

分 类 号:R445.3[医药卫生—影像医学与核医学]

 

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