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In the first part, we validated the SAT-TB on the bronchial or EBUS-TBNA biopsy specimens from sputum smear-positive pulmonary tuberculosis. In the second part, all EBUS-TBNA specimens for sputum smear-negative intrathoracic tuberculous lymphadenopathies or sarcoidosis were tested with the SAT-TB, acid-fast bacilli smear, and culture. In the 16 sputum-positive tuberculosis cases, 5 showed negative SAT (2 nontuberculous mycobacteria and 3 had anti-tuberculosis therapies previously); the remaining 11 were positive. Of the 41 sputum-negative tuberculosis cases in the second part, five other diseases were negative. In the remaining 36 cases, 27 sarcoidosis cases were negative; 7 in 9 with sputum-negative tuberculosis were positive (77.78%). In these 36 patients, the sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy of the SAT method were 77.78, 100, 100, 93.10, and 94.44%, respectively. The SAT distinguished sputum-negative tuberculosis from sarcoidosis significantly ( P &lt; 0.0001) and identified cases with active M. tuberculosis as accurately as the conventional methods (\u03ba\u2009=\u20090.912, P &lt; 0.0001). We conclude that the SAT-TB may be an effective method for using biopsy specimens to differentiate sputum-negative tuberculosis from sarcoidosis.<\/jats:p>","DOI":"10.1152\/ajplung.00172.2018","type":"journal-article","created":{"date-parts":[[2019,1,17]],"date-time":"2019-01-17T13:24:24Z","timestamp":1547731464000},"page":"L519-L524","source":"Crossref","is-referenced-by-count":13,"title":["Simultaneous amplification and testing method for<i>Mycobacterium tuberculosis<\/i>rRNA to differentiate sputum-negative tuberculosis from sarcoidosis"],"prefix":"10.1152","volume":"316","author":[{"given":"Qiu-Hong","family":"Li","sequence":"first","affiliation":[{"name":"Department of Respiratory Medicine, Shanghai Pulmonary Hospital, Tongji University, School of Medicine, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Respiratory Medicine, Shanghai Pulmonary Hospital, Tongji 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