[1] |
李玉静, 孙志平, 张彦坤 , 等. γ-干扰素释放试验(T-SPOT.TB)及结核蛋白芯片检测对结核病诊断价值的对比分析. 医学动物防制, 2016,32(10):1063-1066.
|
[2] |
Helb D, Jones M, Story E , et al. Rapid detection of Mycobacterium tuberculosis and rifampin resistance by use of on-demand, near-patient technology. J Clin Microbiol, 2010,48(1):29-37.
|
[3] |
中华人民共和国国家卫生和计划生育委员会. WS 288—2017肺结核诊断. 2017- 11- 09.
|
[4] |
中华医学会结核病学分会. , 结核病病理学诊断专家共识编写组. 中国结核病病理学诊断专家共识. 中华结核和呼吸杂志, 2017,40(6):419-425.
|
[5] |
中国防痨协会基础专业委员会. 结核病诊断实验室检验规程. 北京: 中国教育文化出版社, 2006.
|
[6] |
何权瀛 . 临床医师应当充分认识现代肺结核病的特点. 临床误诊误治, 2015,28(10):1-6.
|
[7] |
穆晶, 赵丹, 董宇杰 , 等. 结核病病理学诊断的研究进展与临床应用. 结核病与肺部健康杂志, 2017,6(4):386-390.
|
[8] |
Ohshimo S, Guzman J, Costabel U , et al. Differential diagnosis of granulomatous lung disease: clues and pitfalls. Eur Respir Rev, 2017,26(145):170012.
|
[9] |
World Health Organization. Roadmap for rolling out Xpert MTB/RIF for rapid diagnosis of TB and MDR-TB. Geneva: World Health Organization, 2010.
|
[10] |
Kaur R, Kachroo K, Sharma JK , et al. Diagnostic accuracy of Xpert test in tuberculosis detection: a systematic review and meta-analysis. J Glob Infect Dis, 2016,8(1):32-40.
|
[11] |
Li S, Liu B, Peng M , et al. Diagnostic accuracy of Xpert MTB/RIF for tuberculosis detection in different regions with different endemic burden: A systematic review and meta-analysis. PLoS One, 2017,12(7):e0180725.
|
[12] |
Rindi L, Alì G, Fabiani B , et al. Detection of Mycobacterium tuberculosis from paraffin-embedded tissues by GeneXpert MTB/RIF. Tuberculosis (Edinb), 2017,106:53-55.
|
[13] |
Durovni B, Saraceni V, Cordeiro-Santos M , et al. Operational lessons drawn from pilot implementation of Xpert MTB/RIF in Brazil. Bull World Health Organ, 2014,92(8):613-617.
|
[14] |
Lavu EK, Johnson K, Banamu J , et al. Drug-resistant tuberculosis diagnosis since Xpert ® MTB/RIF introduction in Papua New Guinea, 2012—2017. Public Health Action, 2019, 9Suppl 1: S12-18.
|