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作 者:刘儒鹏[1] 陈美玲[1] 岳军艳[1] 窦文广[1] 胡莹[1] 陈杰[1] 陈阳阳[1] 付义彬 LIU Rupeng;CHEN Meiling;YUE Junyan(The First Affiliated Hospital of Xinxiang Medical University,Xinxiang,453100)
出 处:《实用癌症杂志》2022年第3期440-442,447,共4页The Practical Journal of Cancer
基 金:河南省医学科技攻关计划联合共建项目(编号:LHGJ20200487)。
摘 要:目的探讨能谱CT定量参数与非小细胞肺癌(NSCLC)肺段切除术患者预后的相关性。方法采取前瞻性研究,选择行肺段切除术的130例NSCLC患者作为研究对象。所有患者术前均接受能谱CT检查,统计能谱CT定量参数,分析能谱CT定量参数与非小细胞肺癌肺段切除术患者预后的相关性。结果随访1年后,NSCLC患者预后不良38例(29.23%),预后良好92例(70.77%)。预后良好组中心区域及周围区域CT值、NIC、λ高于预后不良组,差异有统计学意义(P<0.05);绘制ROC曲线结果显示,中心区域及周围区域CT值、NIC、λ、Eff-Z及联合检查,AUC均>0.7,其中联合检查诊断价值最高。结论能谱CT定量参数与非小细胞肺癌肺段切除术患者预后的关系密切,临床可在术前采取能谱CT检查评估患者预后不良风险,并进行针对性干预,改善患者预后。Objective To investigate the correlation between quantitative parameters of energy spectrum CT and prognosis of pulmonary segmentectomy in patients with non-small cell lung cancer(NSCLC).Methods A prospective study was conducted to select 130 NSCLC patients who underwent pulmonary segmentectomy.All patients were examined by energy spectrum CT before operation,the quantitative parameters of energy spectrum CT were counted,the correlation between quantitative parameters of CT and prognosis of pulmonary segmentectomy in patients with NSCLC was analyzed.Results After 1 year follow-up,38 patients(29.23%)had poor prognosis and 92(70.77%)had good prognosis in patients with NSCLC;after examination,CT values,NIC and theλof the central and surrounding areas of the good prognosis group were higher than the poor prognosis group,the difference was statistically significant(P<0.05);the ROC curve was drawn,and the result showed that the AUC of CT values,NIC,andλof the central and surrounding areas and the combined examination were>0.7,of which the diagnostic value of combined examination was the highest.Conclusion The quantitative parameters of energy spectrum CT are closely related to the prognosis of pulmonary segmentectomy in patients with NSCLC,the clinical can take energy spectrum CT examination to evaluate the risk of poor prognosis of patients and take targeted intervention to improve the prognosis of patients.
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