Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Correlation of microbiological yield with radiographic activity on chest computed tomography in cases of suspected pulmonary tuberculosis

  • Yousang Ko ,

    Contributed equally to this work with: Yousang Ko, Ho Young Lee

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Resources, Writing – original draft, Writing – review & editing

    koyus@naver.com

    Affiliations Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea, Lung Research Institute of Hallym University College of Medicine, Chuncheon, Republic of Korea

  • Ho Young Lee ,

    Contributed equally to this work with: Yousang Ko, Ho Young Lee

    Roles Resources, Writing – original draft, Writing – review & editing

    Affiliation Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea

  • Yong Bum Park,

    Roles Data curation, Resources, Writing – review & editing

    Affiliations Division of Pulmonary, Allergy and Critical Care Medicine, Department of Internal Medicine, Kangdong Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Republic of Korea, Lung Research Institute of Hallym University College of Medicine, Chuncheon, Republic of Korea

  • Su Jin Hong,

    Roles Data curation, Resources, Writing – review & editing

    Affiliation Department of Radiology, Hanyang University Guri Hospital, Hanyang University College of Medicine, Guri, Republic of Korea

  • Jeong Hwan Shin,

    Roles Data curation, Methodology, Resources, Writing – review & editing

    Affiliation Department Laboratory Medicine, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea

  • Seok Jin Choi,

    Roles Conceptualization, Data curation, Methodology, Resources, Writing – review & editing

    Affiliation Department of Radiology, Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea

  • Changhwan Kim,

    Roles Conceptualization, Data curation, Methodology, Resources, Writing – review & editing

    Affiliation Department of Internal Medicine, Jeju National University Hospital, Jeju, Republic of Korea

  • So Young Park,

    Roles Conceptualization, Data curation, Methodology, Resources, Writing – review & editing

    Affiliation Department of Pulmonary and Critical Care Medicine, Chung Nam National University Medical Center, Daejeon, Republic of Korea

  • Jin Young Jeong

    Roles Data curation, Formal analysis, Methodology, Supervision, Writing – review & editing

    Affiliation Hallym Research Institute of Clinical Epidemiology, Chuncheon, Republic of Korea

Abstract

Background

Little is known about the correlation between microbiological yield and radiographic activity, on chest computed tomography (CT), in suspected pulmonary tuberculosis (PTB) cases, despite CT being widely used, clinically.

Methods

We used multicenter retrospective data, obtained from medical records, focusing on the diagnostic performance for definite PTB. We categorized patients into four groups, by radiographic activity: definitely active, probably active, indeterminate activity, and probably inactive.

Results

Of the 650 patients included, 316 had culture-confirmed PTB; 190 (29.2%), 323 (49.7%), 70 (10.8%), and 67 (10.3%) were classified into the definitely active, probably active, indeterminate activity, and probably inactive groups, respectively. The corresponding observed culture rates for CT radiographic activity were 61.6%, 60.7%, 4.3% and 0%, respectively. When not only culture rates but TB-PCR and histological results were taken into consideration as definite PTB, it showed 66.6%, 67.2%, 14.3%, and 0% of each CT radiographic activity, respectively. Regarding the diagnostic performance for definite PTB, radiographic activity displayed high sensitivity (97.1%, 95% confidence interval (CI), 94.6–98.5) and negative predictive values (92.7%, 95% CI, 86.6–96.2), considered definitely and probably active PTB. Apart from PTB, other etiologies, according to radiographic activity, were predominantly respiratory infections such as bacterial pneumonia and non-tuberculous mycobacterial infection.

Conclusions

Radiographic activity showed good diagnostic performance, and can be used easily in clinical practice. However, clinicians should consider other possibilities, because radiologic images do not confirm microbiological PTB.

Introduction

Chest computed tomography (CT) plays a significant role in the diagnosis of pulmonary tuberculosis (PTB) [1]. Although chest radiography is used as the first diagnostic method, owing to its rapidity [2], it is limited by poor specificity and reader inconsistency [35]. It is important to overcome this disadvantage, therefore. Chest CT can detect early lesions of PTB and distinguish them from other etiologies [1, 6, 7]. Moreover, it can also provide additional information on the mycobacterial activity of TB lesions [8].

Early studies evaluated the pathologic and radiologic correlation using chest CT, and presented the radiological characteristics of PTB, as ‘cavitation’, ‘tree-in-bud’ and ‘consolidation’ [9, 10]. Later, several studies attempted to ascertain the association between each radiographic feature and the smear grade of the sputum or culture yield of Mycobacterium tuberculosis (MTB) [1113]. It is important for clinicians in charge of PTB treatment to anticipate the culture yield of MTB based on CT, to guide proper management. Unfortunately, the results of previously conducted studies, according to each radiographic manifestation, are too complex for diagnostic use in clinical practice, for PTB. Moreover, the culture yield might be underestimated based on the methods used, such as sputum vs. bronchoscopic specimen or culture media. No study so far has addressed these limitations.

Therefore, we evaluated the correlation between the microbiologic yield of MTB and the categorized radiographic grade, on chest CT, via bronchoscopy, in presumptive PTB patients. The categorized grade can be used easily in clinical practice. Bronchoscopy is the most useful and powerful tool for the diagnosis of PTB, and it has discriminative ability [14, 15]. The aim of this study was to (1) determine the relative frequencies of MTB-positive cultures, according to radiographic grades, based on chest CT, in presumptive PTB patients, (2) evaluate the correlation between radiographic activity and PTB (3) identify the other etiology according to radiographic grades.

Methods

Study population and design

This retrospective review included patients older than 18 years of age, with suspected PTB, between January 2012 and February 2015. It was performed at the Hallym University Kangdong Sacred Heart Hospital and Inje University Busan Paik Hospital, in the Republic of Korea, a country with an intermediate TB burden and an annual incidence of 86/100,000 persons, in 2014 [16].

As per the enrollment criteria, patients who underwent both chest CT and bronchoscopy for the diagnosis of PTB were included. The exclusion criteria were: 1) patients who had received any anti-TB treatment before bronchoscopy (as it could have affected the mycobacterial culture); 2) patients who were previously treated for PTB, 3) patients with only endobronchial TB, without parenchymal lesions; 4) patients with known diseases associated with parenchymal disease, confused with PTB, such as interstitial lung disease, bronchiectasis and malignancy involving the lung. If the second and fourth criteria were not adhered to, the interpretation of radiographic activity could have been affected.

The study protocol was approved by the institutional review board of each hospital (Kangdong Sacred Heart Hospital and Busan Paik Hospital), and permission was obtained to publish information from patients’ records. The need for informed consent was waived due to the retrospective nature of the study.

Classification of the radiologic activity of PTB based on chest CT

Chest CT was reviewed by one radiologist from each institution, and they were all blinded to the microbiological results. Patients with presumptive PTB were categorized into four groups, by radiographic activity, from the highest to lowest grade, based on previously published criteria: definitely active, with lesions including a cavity; probably active, showing a “tree-in-bud” appearance or multiple non-calcified poorly circumscribed nodules without a cavity; indeterminate activity, with lesions appearing mainly as non-calcified well-circumscribed nodules; and probably inactive, with lesions appearing mainly as calcified nodules or fibrotic bands [10, 1719]. If the lesion of the suggested PTB was in two or more of the above categories, the radiographic activities were determined as being of a higher grade of those. The classification of the radiographic activities is shown in Fig 1.

thumbnail
Fig 1. The representative cases according to chest CT classification.

(A) definitely-active, with lesions including a cavity (B) probably-active, showing a “tree-in-bud” appearance or multiple non-calcified poorly circumscribed nodules without a cavity (C) indeterminate-activity, with lesions appearing mainly as non-calcified well-circumscribed nodules (D) probably-inactive, with lesions appearing mainly as calcified nodules or fibrotic bands.

https://doi.org/10.1371/journal.pone.0201748.g001

Bronchoscopy procedure and microbiological examination

Bronchoscopy was conducted by the faculty staff of the pulmonology division in each hospital. The choice between bronchial washing (BW) and bronchoalveolar lavage (BAL) via bronchoscopy was based on the judgment of individual bronchoscopists. When the multiple lesions of suggested PTB were observed on CT, BW or BAL was conducted on the most severe lesion.

All the bronchoscopic specimens for the Acid-Fast Bacilli (AFB) smears and cultures were processed and pretreated as recommended [20]. The AFB smears were examined after auramine–rhodamine fluorescent staining, and graded on a scale from 0 to 4+.[21] All the specimens were simultaneously cultured on both solid and liquid media using 3% Ogawa medium (Eiken Chemical, Tokyo, Japan) and the mycobacterial growth indicator tube 960 system (Becton Dickinson, Mountain view, CA, USA). TB-PCR was conducted using either the Xpert MTB/RIF assay (Cepheid Inc., Sunnyvale, CA) or AdvanSure TB/NTM RT-PCR kit (LG Life Sciences, Seoul, Korea) [22, 23].

Definition of PTB and other etiologies

Microbiologically confirmed PTB was defined as the growth of MTB in the culture. Histologically confirmed PTB was defined as the presence of caseating or necrotizing granulomatous inflammation in a tissue sample, with a positive TB-PCR result in that tissue. Genetically confirmed PTB was defined as the detection of positive TB-PCR in the respiratory specimen. Clinically diagnosed PTB was defined as cases in which patients were considered to have PTB, based on symptoms and radiographic findings compatible with PTB, and whose symptoms and radiographic findings improved after anti-TB treatment, even with a negative MTB culture. Of the aforementioned definitions, microbiologically, histologically and genetically confirmed PTB were classified as definite PTB. Cases of clinically diagnosed PTB were classified as probable PTB [24].

Other etiologies were identified as follows. Pulmonary non-tuberculous mycobacterial (PNTM) infection was identified according to the isolation of NTM species and the American Thoracic Society criteria [25]. Pulmonary bacterial infection was identified according to the isolation of compatible pathogenic bacteria in the bronchoscopic specimen and/or a positive urinary antigen test for Streptococcus pneumoniae and Legionella pneumophila and/or positive PCR for bacterial pathogens such as Streptococcus pneumoniae, Legionella pneumophila, Mycoplasma pneumoniae and Chlamydia pneumoniae of the bronchoscopic specimens. Pulmonary viral infection was identified based on the result of a multiplex reverse-transcription PCR assay using a bronchoscopic specimen. Pulmonary fungal infection was identified by the guidelines for each organism [26].

Statistical analysis

The data are presented as median and IQR (interquartile range) for continuous variables, and as number (percentage) for categorical variables. Data were compared using the Mann–Whitney U test for continuous variables and Pearson’s chi-square test or Fisher’s exact test for categorical variables. To determine the accuracy of each radiographic activity to predict PTB, we estimated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), positive likelihood ratio (LR+) and negative likelihood ratio (LR-) for each kind of radiographic activity. The Youden index, defined as (sensitivity + specificity) − 1, was calculated for every type of radiographic activity. The cutoff radiographic activity at which the Youden index was the highest was considered the optimal cut-off. All tests were two-sided, and a P-value <0.05 was considered significant. Data were analyzed using IBM SPSS Statistics version 24 (IBM Corp., Armonk, NY).

Results

Patients’ characteristics

During the study period, 731 patients underwent chest CT and bronchoscopy because of presumed PTB. Of these patients, 81 met the exclusion criteria. Thus, 650 patients were eligible to participate, and they comprised 190 patients (29.2%) classified as the definitely active group, 323 patients (49.7%) as the probably active group, 70 (10.8%) as the indeterminate activity group, and 67 (10.3%) as the probably inactive group. The demographic and descriptive data of the enrolled cases are summarized in Table 1. There were 370 (56.9%) males with a median age of 57.0 (41.0–71.0) years. The enrolled patients had predominantly localized PTB, involving one lobe of the lung parenchyma.

thumbnail
Table 1. Demographic and clinical characteristics of 650 patients with presumed PTB.

https://doi.org/10.1371/journal.pone.0201748.t001

Culture yield of MTB according to the radiographic activity on chest CT

The culture yields, according to the radiographic activities, were 61.6%, 60.7%, 4.3% and 0%, respectively (Table 2 and Fig 2). Considering the microbiologically, histologically and genetically confirmed cases, the diagnosis rates of definite PTB according to the radiographic activities were 66.8%, 67.2%, 14.3% and 0%, respectively. When probable PTB was included, the overall rates of PTB diagnosed, according to the radiographic activities, were 71.6%, 75.2%, 22.9% and 9.9%, respectively. In the prediction of PTB, based on the radiographic activities on chest CT, good results were observed for definite or overall PTB. The culture yield of MTB was better in the definitely active group than the probably active group. But, in the prediction of definite and overall PTB, the probably active group had conversely slightly better results than the definitely active group. However, statistical significance was not noted in both.

thumbnail
Fig 2. MTB culture yield according to radiographic activities of chest CT (A) and final diagnosis as definite or probable PTB by each radiographic grades (B).

MTB = Mycobacterium tuberculosis Definite TB, defined as microbiologically, histologically or genotypically confirmed cases Probable TB, defined as clinically diagnosed case.

https://doi.org/10.1371/journal.pone.0201748.g002

thumbnail
Table 2. Characteristics of study participants according to the radiographic activities on chest CT.

https://doi.org/10.1371/journal.pone.0201748.t002

Diagnostic performance of the radiographic classification for PTB

The sensitivity, specificity, PPV, and NPV for definite and overall PTB, according to the radiographic activities on CT, are presented in Table 3. In the definitely active and probably active groups, low sensitivity but modest specificity in predicting definite and overall PTB, respectively, were noted. However, when combined, the definitely and probably active groups were considered to suggest active PTB, with high sensitivity and NPV, but low specificity and modest PPV. The optimal cut-off radiographic activities for the prediction of definite and overall PTB, assessed by the Youden index, were over the probably active grade in both.

thumbnail
Table 3. Diagnostic performance of the radiographic activities on chest CT in predicting definite and overall PTB in patients with presumed PTB.

https://doi.org/10.1371/journal.pone.0201748.t003

Other etiologies according to the radiographic activities on chest CT

Table 4 shows the isolated or detected microorganisms, other than MTB. When organisms other were classified according to the radiographic activities, no remarkable differences were observed. Table 5 shows the final diagnosis of the enrolled cases, according to the radiographic activities. In almost all the cases except PTB, bacterial pneumonia as the cause of parenchymal lung lesion was the most prevalent, followed by PNTM. We further analyzed the distribution of the microbial etiologies in the cases finally diagnosed as bacterial pneumonia (Table 6), but no statistical differences was not noted.

thumbnail
Table 4. Microbiological etiology other than PTB according to the radiographic activities on chest CT.

https://doi.org/10.1371/journal.pone.0201748.t004

thumbnail
Table 5. Final diagnosis of 650 patients with presumed PTB.

https://doi.org/10.1371/journal.pone.0201748.t005

thumbnail
Table 6. Microbial etiology of finally diagnosed bacterial pneumonia according to radiographic activity.

https://doi.org/10.1371/journal.pone.0201748.t006

Discussion

The study evaluated the correlation between microbiological yield and radiographic activity on chest CT, in suspected PTB patients. In this real-world study, the culture rates of each radiographic activity were 61.6%, 60.7%, 4.3% and 0%, respectively. However, with regards to the diagnostic performance of definite and overall PTB, the radiographic activities showed high sensitivity and NPV when the definitely and probably active grades were considered as active PTB. These findings suggest that radiographic activity can be used for the diagnosis of PTB, and in the initial guidance of anti-TB therapy, for presumptive PTB, in clinical practice. This is the first study to evaluate the correlation of microbiologic yield with radiographic activities on chest CT, in suspected PTB cases, in real-world settings.

PTB has a long history of challenging physicians more than any other infectious lung disease, due to the great morbidity and mortality associated with it. Moreover, in addition to the outcome, the diagnosis of PTB is also challenging because, although microbial identification of MTB is the gold standard in the diagnosis of PTB, it is frequently not properly performed and is relatively time-consuming, despite recent advances in the culture methods [27]. So, chest radiography or CT plays a critical role in the diagnosis of PTB and initial guidance of anti-TB therapy for presumptive PTB patients [3, 12]. CT is more advantageous than radiography in several aspects and is widely used even now [19, 2830]. However, little has been reported on the correlation of microbiological yield with radiographic activities on CT, in suspected PTB cases. Moreover, the shadow of the lung lesion in CT does not confirm microbiological PTB [3034].

Researchers have, in the past, tried to define the radiographic characteristics and activities of PTB for its early detection and to prevent its transmission, as it has threatening outcomes. In many previously conducted studies, several radiologic features, such as cavity, centrilobular nodules, tree-in-bud, air-space consolidation, etc., and locations such as the upper lobe or superior segment of the lower lobes, were suggestive of active PTB [8, 10, 12, 17, 18, 2933, 35]. Moreover, some research studies classified and provided the radiographic criteria for PTB activity based on chest CT [10, 14, 17, 18].

However, radiographic findings alone, despite CT scans proving valuable in clinical practice, cannot provide a definitive diagnosis of PTB, because radiologic similarity has been observed in other disease entities too [3034]. Therefore, the microbiological confirmation of PTB should be done carefully. Recently, liquid culture systems have been developed and are widely used to hasten and augment the yield of the MTB culture; the World Health Organization also recommends the widespread adoption of liquid culture [35]. However, many previously conducted studies focused on the identification of the radiologic characteristics and activities based on histological correlation, or the microbiological confirmation mostly through sputum [9, 10, 17, 18, 30, 33, 35]. Several studies have focused on each radiologic pattern, such as tree-in-bud or cavity, and its cause [32, 34, 36, 37], but there are no data with regards to the overall causes of presumptive PTB, based on chest CT, according to the grade of the radiographic activities. Although it is important to identify the radiologic characteristics of definite PTB, it is conversely, in clinical practice, more important and useful to identify the relative frequency of definite PTB in presumptive PTB patients, based on a chest CT scan.

For these reasons, we conducted this study using a concept borrowed from the radiographic criteria for PTB activities based on chest CT [10, 14, 17, 18]. We aimed to estimate the relative incidence of microbiologically confirmed PTB, by bronchoscopy, which is regarded as the most powerful diagnostic method for PTB, according to previously published criteria of radiographic activity based on a chest CT scan. In this study, we identified a significant correlation between radiographic activity, according to the morphological characteristics of chest CT, and the microbiological confirmation of PTB. This information will prove useful to clinicians for the diagnosis of PTB and in the initial guidance of anti-TB therapy for presumptive PTB patients.

There are several potential limitations to our study that should be acknowledged. First, given its retrospective nature, selection bias may have influenced our findings. In this study, we only enrolled patients who underwent bronchoscopy because, through it, other etiologies can be differentiated from PTB. Moreover, the proportion of definite PTB cases corresponding to each radiographic activity could have been underestimated because the enrolled patients predominantly had localized disease (57.9%), and were determined as requiring bronchoscopy for diagnosis. However, this inclusion could have decreased the proportion of undiagnosed cases, unlike previous other studies [34, 37]. Second, the CT image protocol was not the same in all the enrolled patients. This may have affected the morphological characteristics required for some subtle findings. Third, we conducted this study in South Korea, an intermediate TB burden county, so this result should be interpreted with infectious etiology of each lesion. For example, the most prevalent cause of tree-in-bud appearance on chest CT is PNTM infection in US study, while PTB and pneumonia due to Streptococcus pneumonia and Haemophilus species in Israel study [34, 37]. Moreover, cavitary lesion of lung is also diagnosed other than PTB [32, 36]. Thus, this result of study should be applied in other clinical setting with caution.

In conclusion, the radiographic activities, based on chest CT, showed a modest correlation with the microbiological yield of MTB, and in combination with definitely and probably active lesions showed a good performance for the diagnosis of PTB. The results of this study suggest that the radiographic activity, based on chest CT can be used easily in clinical practice. However, clinicians should consider possibilities other than PTB, because radiologic images do not confirm microbiological PTB.

Acknowledgments

The authors thank Ms. Youn Jung Lee, Ms IL Han and Ms. Young-ok Kim for their help in the data collection.

References

  1. 1. Ryu YJ. Diagnosis of pulmonary tuberculosis: recent advances and diagnostic algorithms. Tuberculosis and respiratory diseases. 2015;78(2):64–71. Epub 2015/04/11. pmid:25861338.
  2. 2. Lerner BH. The perils of "X-ray vision": How radiographic images have historically influenced perception. Perspectives in biology and medicine. 1992;35(3):382–97. Epub 1992/01/01. pmid:1502001.
  3. 3. Koppaka R B N. How reliable is chest radiography? In: Frieden T, ed. Toman’s Tuberculosis: Case Detection, Treatment, and Monitoring—Questions and Answers. 2nd Edn. Geneva, World Health Organization, 2004;pp 51–60.
  4. 4. Pinto LM, Dheda K, Theron G, Allwood B, Calligaro G, van Zyl-Smit R, et al. Development of a simple reliable radiographic scoring system to aid the diagnosis of pulmonary tuberculosis. PloS one. 2013;8(1):e54235. Epub 2013/01/26. pmid:23349835 mc3548832.
  5. 5. Pinto LM, Pai M, Dheda K, Schwartzman K, Menzies D, Steingart KR. Scoring systems using chest radiographic features for the diagnosis of pulmonary tuberculosis in adults: a systematic review. The European respiratory journal. 2013;42(2):480–94. Epub 2012/12/12. pmid:23222871.
  6. 6. Skoura E, Zumla A, Bomanji J. Imaging in tuberculosis. International journal of infectious diseases: IJID: official publication of the International Society for Infectious Diseases. 2015;32:87–93. Epub 2015/03/27. pmid:25809762.
  7. 7. Lee KS, Im JG. CT in adults with tuberculosis of the chest: characteristic findings and role in management. AJR American journal of roentgenology. 1995;164(6):1361–7. Epub 1995/06/01. pmid:7754873.
  8. 8. Jeong YJ, Lee KS. Pulmonary tuberculosis: up-to-date imaging and management. AJR American journal of roentgenology. 2008;191(3):834–44. Epub 2008/08/22. pmid:18716117.
  9. 9. Rebora F. [Pathologic correlation with CT chest in pulmonary tuberculosis]. Gaceta medica de Mexico. 1955;85(4–5):521–8. Epub 1955/07/01. pmid:13344770.
  10. 10. Im JG, Itoh H, Lee KS, Han MC. CT-pathology correlation of pulmonary tuberculosis. Critical reviews in diagnostic imaging. 1995;36(3):227–85. Epub 1995/01/01. pmid:7546270.
  11. 11. Desai SR, Edey AJ, Hansell DM, Shah A, Land D, Arnott S, et al. Morphologic predictors of a microbiological yield in patients with a tree-in-bud pattern on computed tomography. Journal of thoracic imaging. 2014;29(4):240–5. Epub 2014/03/01. pmid:24576835.
  12. 12. Ors F, Deniz O, Bozlar U, Gumus S, Tasar M, Tozkoparan E, et al. High-resolution CT findings in patients with pulmonary tuberculosis: correlation with the degree of smear positivity. Journal of thoracic imaging. 2007;22(2):154–9. Epub 2007/05/29. pmid:17527119.
  13. 13. Lee KS, Hwang JW, Chung MP, Kim H, Kwon OJ. Utility of CT in the evaluation of pulmonary tuberculosis in patients without AIDS. Chest. 1996;110(4):977–84. Epub 1996/10/01. pmid:8874255.
  14. 14. Willcox PA, Benatar SR, Potgieter PD. Use of the flexible fibreoptic bronchoscope in diagnosis of sputum-negative pulmonary tuberculosis. Thorax. 1982;37(8):598–601. Epub 1982/08/01. pmid:6817441.
  15. 15. World Health O, International Union Against T, Lung D, Royal Netherlands Tuberculosis A. Revised international definitions in tuberculosis control. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2001;5(3):213–5. Epub 2001/05/01.
  16. 16. World Health Organization. Global Tuberculosis Report 2015. 20th ed. Geneva, 173 Switzerland: World Health Organization; 2015.
  17. 17. Im JG, Webb WR, Han MC, Park JH. Apical opacity associated with pulmonary tuberculosis: high-resolution CT findings. Radiology. 1991;178(3):727–31. Epub 1991/03/01. pmid:1994409.
  18. 18. Im JG, Itoh H, Shim YS, Lee JH, Ahn J, Han MC, et al. Pulmonary tuberculosis: CT findings—early active disease and sequential change with antituberculous therapy. Radiology. 1993;186(3):653–60. Epub 1993/03/01. pmid:8430169.
  19. 19. Kim HJ, Lee HJ, Kwon SY, Yoon HI, Chung HS, Lee CT, et al. The prevalence of pulmonary parenchymal tuberculosis in patients with tuberculous pleuritis. Chest. 2006;129(5):1253–8. Epub 2006/05/11. pmid:16685016.
  20. 20. Bae E, Im JH, Kim SW, Yoon NS, Sung H, Kim MN, et al. [Evaluation of combination of BACTEC mycobacteria growth indicator tube 960 system and Ogawa media for mycobacterial culture]. The Korean journal of laboratory medicine. 2008;28(4):299–306. Epub 2008/08/30. pmid:18728380.
  21. 21. Diagnostic Standards and Classification of Tuberculosis in Adults and Children. This official statement of the American Thoracic Society and the Centers for Disease Control and Prevention was adopted by the ATS Board of Directors, July 1999. This statement was endorsed by the Council of the Infectious Disease Society of America, September 1999. American journal of respiratory and critical care medicine. 2000;161(4 Pt 1):1376–95. Epub 2000/04/14. pmid:10764337.
  22. 22. Cho SY, Kim MJ, Suh JT, Lee HJ. Comparison of diagnostic performance of three real-time PCR kits for detecting Mycobacterium species. Yonsei medical journal. 2011;52(2):301–6. Epub 2011/02/15. pmid:21319350 mc3051208.
  23. 23. Boehme CC, Nabeta P, Hillemann D, Nicol MP, Shenai S, Krapp F, et al. Rapid molecular detection of tuberculosis and rifampin resistance. The New England journal of medicine. 2010;363(11):1005–15. Epub 2010/09/10. pmid:20825313 mc2947799.
  24. 24. Ko Y, Lee HK, Lee YS, Kim MY, Shin JH, Shim EJ, et al. Accuracy of Xpert((R)) MTB/RIF assay compared with AdvanSure TB/NTM real-time PCR using bronchoscopy specimens. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2016;20(1):115–20. Epub 2015/12/22. pmid:26688537.
  25. 25. Griffith DE, Aksamit T, Brown-Elliott BA, Catanzaro A, Daley C, Gordin F, et al. An official ATS/IDSA statement: diagnosis, treatment, and prevention of nontuberculous mycobacterial diseases. American journal of respiratory and critical care medicine. 2007;175(4):367–416. Epub 2007/02/06. pmid:17277290.
  26. 26. Patterson TF, Thompson GR 3rd, Denning DW, Fishman JA, Hadley S, Herbrecht R, et al. Practice Guidelines for the Diagnosis and Management of Aspergillosis: 2016 Update by the Infectious Diseases Society of America. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2016;63(4):e1–e60. Epub 2016/07/02. pmid:27365388.
  27. 27. Koh WJ, Ko Y, Kim CK, Park KS, Lee NY. Rapid diagnosis of tuberculosis and multidrug resistance using a MGIT 960 system. Annals of laboratory medicine. 2012;32(4):264–9. Epub 2012/07/11. pmid:22779067.
  28. 28. Wang YH, Lin AS, Lai YF, Chao TY, Liu JW, Ko SF. The high value of high-resolution computed tomography in predicting the activity of pulmonary tuberculosis. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2003;7(6):563–8. Epub 2003/06/12. pmid:12797699.
  29. 29. Curvo-Semedo L, Teixeira L, Caseiro-Alves F. Tuberculosis of the chest. European journal of radiology. 2005;55(2):158–72. Epub 2005/05/21. pmid:15905057.
  30. 30. Tateishi U, Kusumoto M, Akiyama Y, Kishi F, Nishimura M, Moriyama N. Role of contrast-enhanced dynamic CT in the diagnosis of active tuberculoma. Chest. 2002;122(4):1280–4. Epub 2002/10/16. pmid:12377853.
  31. 31. Yeh JJ, Chen SC, Chen CR, Yeh TC, Lin HK, Hong JB, et al. A high-resolution computed tomography-based scoring system to differentiate the most infectious active pulmonary tuberculosis from community-acquired pneumonia in elderly and non-elderly patients. European radiology. 2014;24(10):2372–84. Epub 2014/06/29. pmid:24972956.
  32. 32. Li BG, Ma DQ, Xian ZY, Guan J, Luo KJ, Fan QW, et al. The value of multislice spiral CT features of cavitary walls in differentiating between peripheral lung cancer cavities and single pulmonary tuberculous thick-walled cavities. The British journal of radiology. 2012;85(1010):147–52. Epub 2012/02/07. pmid:22308219.
  33. 33. Tozkoparan E, Deniz O, Ciftci F, Bozkanat E, Bicak M, Mutlu H, et al. The roles of HRCT and clinical parameters in assessing activity of suspected smear negative pulmonary tuberculosis. Archives of medical research. 2005;36(2):166–70. Epub 2005/04/26. pmid:15847951.
  34. 34. Miller WT Jr., Panosian JS. Causes and imaging patterns of tree-in-bud opacities. Chest. 2013;144(6):1883–92. Epub 2013/08/21. pmid:23948769.
  35. 35. Poey C, Verhaegen F, Giron J, Lavayssiere J, Fajadet P, Duparc B. High resolution chest CT in tuberculosis: evolutive patterns and signs of activity. Journal of computer assisted tomography. 1997;21(4):601–7. Epub 1997/07/01. pmid:9216766.
  36. 36. Kim YK, Hahn S, Uh Y, Im DJ, Lim YL, Choi HK, et al. Comparable characteristics of tuberculous and non-tuberculous mycobacterial cavitary lung diseases. The international journal of tuberculosis and lung disease: the official journal of the International Union against Tuberculosis and Lung Disease. 2014;18(6):725–9. Epub 2014/06/07. pmid:24903945.
  37. 37. Shimon G, Yonit WW, Gabriel I, Naama BR, Nissim A. The "Tree-in-Bud" Pattern on Chest CT: Radiologic and Microbiologic Correlation. Lung. 2015;193(5):823–9. Epub 2015/07/15. pmid:26156310.