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多层螺旋CT对脏层胸膜浸润的诊断价值 被引量:5

MSCT determination in the diagnosis of the visceral pleura invasion
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摘要 目的探讨多层螺旋CT(MSCT)对脏层胸膜浸润的判定及对早期非小细胞肺癌(NSCLC)患者预后的影响。方法选取87例NSCLC患者,其中有脏层胸膜侵犯(VPI)患者22例(VPI组),无VPI患者65例(非VPI组),比较患者影像表现及临床特征、无疾病生存期(DFS)和总生存率(OS)差异。结果 VPI组肿物紧贴胸壁的比例为72. 73%,明显高于非VPI组(P <0. 05); VPI组和非VPI组胸膜凹陷征、毛刺征和表面皱缩纹比例比较,差异无统计学意义(P> 0. 05); MSCT诊断VPI的灵敏度、特异度、阳性预测值和阴性预测值为77. 17%、76. 67%、54. 84%和90. 20%。结论 MCST对发现脏层胸膜侵犯可提供较好证据,临床治疗时应给予重视。 Objective To investigate the effect of MSCT on the determination of the visceral pleura infiltration and the prognosis of early non-small cell lung cancer (NSCLC) patients. Methods 87 cases of NSCLC treated in our hospital were selected,including 22 cases of visceral pleural invasion (VPI group) and 65 cases without VPI (non-VPI group) ,and the clinical features,the disease free survival (DFS) and the overall survival rate (OS) of the patients were compared. Results The proportion of the mass closing to the chest wall in VPI group was 72.73% ,which was signifi- cantly higher than that in the non-VPI group ( P 〈 0.05 ). There was no significant difference in the proportion of pleural indentation, spicule sign and surface wrinkles in group VPI and non VPI group ( P 〉 0.05 ). The sensitivity-, specificity-, positive predictive value and negative predictive value of MSCT for the diagnosis of VPI were 77. 17%, 76.67%, 54.84% and 90.20% respectively. The median DFSs of the VPI group and the non-VPI group were 27 months and 29 months respectively, and the difference was not statistically significant( P 〉 0.05 ). Conclusion MCST can provide good evidence for the discovery- of the invasion of the pleura, which should be paid attention to clinical treatment.
作者 管庶春 何江波 唐会峰 顾勤 曹丹 俞文俊 Guang Shuchun;He Jiangbo;Tang Huijbng;Gu Qin;Cao Dan;Yu Wenjun(Department of Radiology,the Seventh People' s Hospital of Changzhou City,Changzhou 213011,China)
出处 《中国临床保健杂志》 CAS 2018年第5期672-674,共3页 Chinese Journal of Clinical Healthcare
关键词 非小细胞肺 脏层胸膜浸润 体层摄影术 螺旋计算机 预后 Carcinoma non-small-cell lung Visceral pleura invasion Tomography spiral computed Prognosis
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