山东大学学报 (医学版) ›› 2023, Vol. 61 ›› Issue (2): 88-94.doi: 10.6040/j.issn.1671-7554.0.2022.0528
杨咏青1,2,赵鹏2,汪玉1,马文静2,田迷迷1,程亚旎1,祖璐1,林祥涛1,2
YANG Yongqing1,2, ZHAO Peng2, WANG Yu1, MA Wenjing2, TIAN Mimi1, CHENG Yani1, ZU Lu1, LIN Xiangtao1,2
摘要: 目的 探讨细胞外容积分数(ECV)对不同病理类型肺癌的诊断价值。 方法 对62例肺癌患者进行纵向弛豫时间定量(T1 mapping)扫描,在增强前后的T1 mapping图像上勾画感兴趣区,测量病灶、主动脉血池强化前后的T1值,收集患者的红细胞压积,计算ECV;运用单因素方差分析检验不同病理类型肺癌ECV的差异,构建受试者工作特征曲线分析其诊断价值,并计算灵敏度、特异度及准确率。 结果 共纳入62例患者,其中小细胞肺癌13例,非小细胞肺癌49例(包括33例腺癌、16例鳞癌)。小细胞肺癌与非小细胞肺癌的ECV平均值分别为(13.79±5.93)%和(27.17±6.59)%,非小细胞肺癌高于小细胞肺癌,截断值为18.97%,敏感度、特异度及准确率分别为89.8%、92.3%、90.3%;腺癌及鳞癌的ECV平均值分别为(24.21±4.92)%、(33.28±5.32)%,差异有统计学意义(P<0.001);鳞癌ECV值高于腺癌,截断值为29.11%,敏感度、特异度及准确率分别为84.8%、81.2%、83.7%。 结论 ECV可以定量分析肺癌的组织特征,可以通过测量ECV鉴别肺癌的病理类型,具有较高的灵敏度、特异度及准确率。
中图分类号:
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