Nucleic Acid Amplification Testing and Sequencing Combined with Acid-Fast Staining in Needle Biopsy Lung Tissues for the Diagnosis of Smear-Negative Pulmonary Tuberculosis
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BACKGROUND: Smear-negative pulmonary tuberculosis (PTB) is common and difficult to diagnose. In this study, we investigated the diagnostic value of nucleic acid amplification testing and sequencing combined with acid-fast bacteria (AFB) staining of needle biopsy lung tissues for patients with suspected smear-negative PTB. METHODS: Patients with suspected smear-negative PTB who underwent percutaneous transthoracic needle biopsy between May 1, 2012, and June 30, 2015, were enrolled in this retrospective study. Patients with AFB in sputum smears were excluded. All lung biopsy specimens were fixed in formalin, embedded in paraffin, and subjected to acid-fast staining and tuberculous polymerase chain reaction (TB-PCR). For patients with positive AFB and negative TB-PCR results in lung tissues, probe assays and 16S rRNA sequencing were used for identification of nontuberculous mycobacteria (NTM). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy of PCR and AFB staining were calculated separately and in combination. RESULTS: Among the 220 eligible patients, 133 were diagnosed with TB (men/women: 76/57; age range: 17-80 years, confirmed TB: 9, probable TB: 124). Forty-eight patients who were diagnosed with other specific diseases were assigned as negative controls, and 39 patients with indeterminate final diagnosis were excluded from statistical analysis. The sensitivity, specificity, PPV, NPV, and accuracy of histological AFB (HAFB) for the diagnosis of smear-negative were 61.7% (82/133), 100% (48/48), 100% (82/82), 48.5% (48/181), and 71.8% (130/181), respectively. The sensitivity, specificity, PPV, and NPV of histological PCR were 89.5% (119/133), 95.8% (46/48), 98.3% (119/121), and 76.7% (46/60), respectively, demonstrating that histological PCR had significantly higher accuracy (91.2% [165/181]) than histological acid-fast staining (71.8% [130/181]), P < 0.001. Parallel testing of histological AFB staining and PCR showed the sensitivity, specificity, PPV, NPV, and accuracy to be 94.0% (125/133), 95.8% (46/48), 98.4% (125/127), 85.2% (46/54), and 94.5% (171/181), respectively. Among patients with positive AFB and negative PCR results in lung tissue specimens, two were diagnosed with NTM infections (Mycobacterium avium-intracellulare complex and Mycobacterium kansasii). CONCLUSION: Nucleic acid amplification testing combined with acid-fast staining in lung biopsy tissues can lead to early and accurate diagnosis in patients with smear-negative pulmonary tuberculosis. For patients with positive histological AFB and negative tuberculous PCR results in lung tissue, NTM infection should be suspected and could be identified by specific probe assays or 16S rRNA sequencing.
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Combination of data types, especially the sum of low diagnostics data, provides a multi-level overview, better understanding of complex multifactorial conditions, and leads to faster diagnostics [78,79].
“The combination of data types, especially the sum of low diagnostics data, provides a multi-level overview and better understanding of complex multifactorial conditions, and also leads to a faster diagnostics [78, 79].”
From Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare (2018) · cites this paper as [78]
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Cites
Use of uracil DNA glycosylase to control carry-over contamination in polymerase chain reactions
Longo, M. C., Berninger, M. S., & Hartley, J. L. (1990) · Gene · doi:10.1016/0378-1119(90)90145-h · Cited by 965 · see citing works
Prevalence of Nontuberculous Mycobacterial Lung Disease in U.S. Medicare Beneficiaries
Adjemian, J., Olivier, K. N., Seitz, A. E., Holland, S. M., & Prevots, D. R. (2012) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201111-2016oc · Cited by 691 · see citing works
RAPID DIAGNOSIS OF TUBERCULOSIS BY AMPLIFICATION OF MYCOBACTERIAL DNA IN CLINICAL SAMPLES
Brisson-Noël, A., Lecossier, D., Nassif, X., Gicquel, B., Lévy‐Frébault, V., & Hance, A. J. (1989) · The Lancet · doi:10.1016/s0140-6736(89)91082-9 · Cited by 391 · see citing works
Detection of Mycobacterium tuberculosis in Sputum Samples Using a Polymerase Chain Reaction
Eisenach, K. D., Sifford, M. D., Cave, M. D., Bates, J. H., & Crawford, J. T. (1991) · American Review of Respiratory Disease · doi:10.1164/ajrccm/144.5.1160 · Cited by 350 · see citing works
TRENDS IN INCIDENCE OF ACUTE LEUKÆMIA
Brandt, L. P. A., Nilsson, P. G., Mitelman, F., et al. (1979) · The Lancet · doi:10.1016/s0140-6736(79)92460-7 · Cited by 219 · see citing works
Pulmonary Nontuberculous Mycobacterial Disease, Ontario, Canada, 1998–2010
Marras, T. K., Mendelson, D., Marchand‐Austin, A., May, K., & Jamieson, F. (2013) · Emerging infectious diseases · doi:10.3201/eid1911.130737 · Cited by 210 · see citing works
Clinical evaluation of a Mycobacterium tuberculosis PCR assay
Beige, J., Lokies, J., Schaberg, T., et al. (1995) · Journal of Clinical Microbiology · doi:10.1128/jcm.33.1.90-95.1995 · Cited by 124 · see citing works
The fifth national tuberculosis epidemiological survey in 2010
Epi-demiological, T. (2012) · Cited by 120 · see citing works
Sensitivity of Acid-Fast Staining for Mycobacterium tuberculosis in Formalin-fixed Tissue
Fukunaga, H., Murakami, T., Gondo, T., Sugi, K., & Ishihara, T. (2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2111028 · Cited by 103 · see citing works
Wu, J., Zhang, Y., Li, J., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109736 · Cited by 97 · see citing works
Polymerase Chain Reaction to Detect Mycobacterium tuberculosis in Histologic Specimens
SALIAN, N. V., RISH, J. A., Eisenach, K. D., et al. (1998) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.158.4.9802034 · Cited by 94 · see citing works
Pulmonary Infection and Colonization with Nontuberculous Mycobacteria, Taiwan, 2000–2012
Chien, J., Lai, C., Sheng, W., et al. (2014) · Emerging infectious diseases · doi:10.3201/eid2008.131673 · Cited by 89 · see citing works
Li, J. Y. W., Lo, S. T. H., & Ng, C. S. (2000) · Diagnostic Molecular Pathology · doi:10.1097/00019606-200006000-00001 · Cited by 85 · see citing works
Moore, D. F., Guzman, J. A., & Mikhail, L. (2005) · Diagnostic Microbiology and Infectious Disease · doi:10.1016/j.diagmicrobio.2005.02.014 · Cited by 83 · see citing works
Maurya, A. K., Nag, V. L., Kant, S., et al. (2015) · BioMed Research International · doi:10.1155/2015/465403 · Cited by 72 · see citing works
Isolation Prevalence of Pulmonary Nontuberculous Mycobacteria in Ontario in 2007
Al‐Houqani, M., Jamieson, F., Chedore, P., et al. (2011) · Canadian Respiratory Journal · doi:10.1155/2011/865831 · Cited by 56 · see citing works
Shao, Y., Chen, C., Song, H., et al. (2015) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0003623 · Cited by 55 · see citing works
Wang, Y., Jiang, F., Tan, X., et al. (2016) · Medicine · doi:10.1097/md.0000000000004460 · Cited by 53 · see citing works
Self-citationShinnick, T. M., Iademarco, M. F., & Ridderhof, J. C. (2005) · PsycEXTRA Dataset · doi:10.1037/e548772006-001 · Cited by 51 · see citing works
Perosio, P. M., & Frank, T. S. (1993) · American Journal of Clinical Pathology · doi:10.1093/ajcp/100.6.643 · Cited by 48 · see citing works
Azov, A. G., Koch, J., & Hamilton-Dutoit, S. J. (2005) · Apmis · doi:10.1111/j.1600-0463.2005.apm_234.x · Cited by 40 · see citing works
Vago, L., Barberis, M. C. P., Gori, A., et al. (1998) · American Journal of Clinical Pathology · doi:10.1093/ajcp/109.4.411 · Cited by 37 · see citing works
Morcillo, N. (2008) · Infection and Drug Resistance · doi:10.2147/idr.s3838 · Cited by 36 · see citing works
Shingadia, D. V. (2012) · The Pediatric Infectious Disease Journal · doi:10.1097/inf.0b013e318249f26d · Cited by 36 · see citing works
Taegtmeyer, M., Beeching, N. J., Scott, J., et al. (2007) · Thorax · doi:10.1136/thx.2007.083816 · Cited by 30 · see citing works
Hofman, V., Selva, É., Landraud, L., Sicard, D., Vénissac, N., Castillo, L., Kermarec, A., Mouroux, J., Dellamonica, P., & Hofman, V. (2003) · PubMed · Cited by 29 · see citing works
Nested PCR in lung tissue for diagnosis of pulmonary tuberculosis
Park, J. S., Kang, Y. A., Kwon, S., et al. (2009) · European Respiratory Journal · doi:10.1183/09031936.00067209 · Cited by 26 · see citing works
Identification and Distribution of Nontuberculous Mycobacteria from 2005 to 2011 in Cheonan, Korea
Kim, J. K., & Rheem, I. S. (2013) · Tuberculosis & respiratory diseases · doi:10.4046/trd.2013.74.5.215 · Cited by 24 · see citing works
Detection of mycobacteria using the polymerase chain reaction
Peneau, A., Moinard, D., Berard, I., et al. (1992) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/bf02098099 · Cited by 17 · see citing works
Montenegro, S., Delgado, C., Pineda, S. I., Reyes, C., de la Barra, T., Cabezas, C., Spencer, L., & Mucientes, F. (2014) · Revista chilena de infectología · doi:10.4067/s0716-10182014000600006 · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [21]World Health Organization. Treatment of tuberculosis guidelines—fourth edition. http://appswhoint/iris/bitstream/10665/44165/1/9789241547833_engpdf?ua=1. 23741786
- [34]Shinnick TM, Iademarco MF, Ridderhof JC. National plan for reliable tuberculosis laboratory services using a systems approach. Recommendations from CDC and the Association of Public Health Laboratories Task Force on Tuberculosis Laboratory Services. MMWR Recommendations and reports: Morbidity and mortality weekly report Recommendations and reports / Centers for Disease Control. 2005; 54(RR-6): 1– 12. 15829862
Cited by
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Mamoshina, P., Ojomoko, L., Yanovich, Y., Ostrovski, A., Botezatu, A., Prikhodko, P., Izumchenko, E., Aliper, A., Romantsov, K., Zhebrak, A., et al. (2018) · Oncotarget · doi:10.18632/oncotarget.22345 · Cited by 471 · see citing works
- Authors
- Jiang, F., Huang, W., Wang, Y., Tian, P., Chen, X., & Liang, Z.
- Affiliations
- Sichuan University (CN)
- Corresponding author
- Liang, Zongan
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-12-02
- Volume
- 11
- Issue
- 12
- Pages
- e0167342
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC5135092
- OpenAlex
- W2557757021
- Cited by
- 14
- References
- 31
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 4 · 2017: 1
- FWCI
- 2.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Health Sciences › Medicine › Epidemiology › Mycobacterium research and diagnosis
- Health Sciences › Medicine › Surgery › Infectious Diseases and Tuberculosis
- Keywords
- smear-negative tuberculosis, acid-fast staining, nontuberculous mycobacteria, 16S rRNA gene sequencing, transthoracic needle biopsy, diagnostic accuracy, nontuberculous mycobacterial infection, Mycobacterium avium complex, Mycobacterium kansasii
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Lung, Male, Middle Aged, Mycobacterium tuberculosis, RNA, Bacterial, RNA, Ribosomal, 16S, Staining and Labeling, Tuberculosis, Pulmonary, Polymerase Chain Reaction, Mycobacterium kansasii, Biopsy, Fine-Needle
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