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CT对耐多药肺结核患者治疗结果预测价值研究
引用本文:宋其生,郭晓红,张莉翎,李一鸣,路希维. CT对耐多药肺结核患者治疗结果预测价值研究[J]. 大连医科大学学报, 2021, 43(5): 404-408
作者姓名:宋其生  郭晓红  张莉翎  李一鸣  路希维
作者单位:大连市公共卫生临床中心结核科,辽宁大连116033;六盘水市第三人民医院结核科,贵州六盘水553541
基金项目:贵州省科技计划项目([2020]4Y151)
摘    要:目的 通过影像学六分区评分方法研究CT对于耐多药肺结核(MDR-TB)患者治疗结果的预测价值.方法 搜集2018年1月至2020年12月期间六盘水市第三人民医院经痰结核菌培养证实并完成疗程的55例治愈和53例治疗失败的MDR-TB患者临床资料及肺CT影像学资料,比较这些患者之间临床特点及影像学差异性.应用受试者工作特征...

关 键 词:CT  MDR-TB  ROC曲线分析  预测值
收稿时间:2021-01-04
修稿时间:2021-09-23

Predictive value of CT in the treatment of MDR-TB patients
SONG Qisheng,GUO Xiaohong,ZHANG Liling,LI Yiming,LU Xiwei. Predictive value of CT in the treatment of MDR-TB patients[J]. Journal of Dalian Medical University, 2021, 43(5): 404-408
Authors:SONG Qisheng  GUO Xiaohong  ZHANG Liling  LI Yiming  LU Xiwei
Affiliation:Department of Tuberculosis, Dalian Public Health Clinical Center, Dalian 116033, China;Department of Tuberculosis, Liupanshui Third Hospital, Liupanshui 553541, China
Abstract:Objective To study the predictive value of CT in the treatment of multidrug-resistant pulmonary tuberculosis (MDR-TB) by imaging score in six areas of lung. Methods The clinical data and pulmonary CT findings of 55 cured MDR-TB cases and 53 MDR-TB cases with treatment failure confirmed by sputum culture, who completed the course of treatment from January 2018 to December 2020 in Liupanshui Thrid Hospital, were collected. The clinical features and imaging differences between the two groups were compared. Receiver operating characteristic (ROC) analysis was used to analyze the positive predictive value of treatment outcome in MDR-TB patients. Results At 12th month, the sensitivity and specificity of treatment outcome were 76.36% and 77.36% respectively, the positive predictive value and negative predictive value of treatment outcome were 77.8%(95%CI:64.4%-88.0%)and 75.9%(95%CI:62.4%-86.5%)respectively, and the area under ROC (AUC) was 0.835(95%CI:0.751-0.899)(P<0.05). Conclusion CT images are of great value in predicting the treatment outcome in MDR-TB patients.
Keywords:CT  MDR-TB  ROC analysis  predictive value
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