Improvement in clinical outcome and infection control using molecular diagnostic techniques for early detection of MDR tuberculous spondylitis: a multicenter retrospective study-Reference-Cited by-同舟云学术

Improvement in clinical outcome and infection control using molecular diagnostic techniques for early detection of MDR tuberculous spondylitis: a multicenter retrospective study

Published:2017-01-01 Issue:1 Volume:6 Page:1-6
ISSN:2222-1751
Container-title:Emerging Microbes & Infections
language:en
Short-container-title:Emerging Microbes & Infections

Author:

Wu Wenjie¹,Lyu Jingtong¹,Cheng Peng¹,Cheng Yuan²,Zhang Zehua¹,Li Litao³,Zheng Yonghong⁴,Xu Jianzhong¹

Affiliation:

1. Department of Orthopaedics, Southwest HospitalThird Military Medical University, Chongqing, China

2. Department of Orthopaedics, Yulin People’s Hospital, Yu Lin, China

3. Department of Orthopaedics, The People’s Liberation Army No. 309 Hospital, Beijing, China

4. Department of OrthopaedicsXi’an Jiaotong University Affiliated Honghui Hospital, Xi’an, China

Publisher

Informa UK Limited

Subject

Virology,Infectious Diseases,Drug Discovery,General Medicine,Immunology,Microbiology,Parasitology,Epidemiology

Link

https://www.tandfonline.com/doi/pdf/10.1038/emi.2017.83

Reference20 articles.

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2. Significant Clinical Impact of a Rapid Molecular Diagnostic Test (Genotype MTBDRplus Assay) to Detect Multidrug-Resistant Tuberculosis

3. Multicenter Laboratory Validation of the BACTEC MGIT 960 Technique for Testing Susceptibilities of Mycobacterium tuberculosis to Classical Second-Line Drugs and Newer Antimicrobials

4. Xpert MTB/RIF and GenoType MTBDRplus assays for the rapid diagnosis of bone and joint tuberculosis

5. Effect of a comprehensive programme to provide universal access to care for sputum-smear-positive multidrug-resistant tuberculosis in China: a before-and-after study

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4. Performance of the deep convolutional neural network based magnetic resonance image scoring algorithm for differentiating between tuberculous and pyogenic spondylitis;Scientific Reports;2018-09-03

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