Literature DB >> 28346488

Comparison of chest CT findings in nontuberculous mycobacterial diseases vs. Mycobacterium tuberculosis lung disease in HIV-negative patients with cavities.

Cherry Kim1,2, So Hee Park3, Sang Young Oh1, Sung-Soo Kim4, Kyung-Wook Jo5, Tae Sun Shim5, Mi Young Kim1.   

Abstract

OBJECTIVES: This article focuses on the differences between CT findings of HIV-negative patients who have cavities with nontuberculous mycobacteria (NTM) disease and those with Mycobacterium tuberculosis infections (TB).
METHODS: We retrospectively reviewed 128 NTM disease patients (79 males and 49 females) with cavities in chest CT, matched for age and gender with 128 TB patients in the same period. Sputum cultures of all patients were positive for pathogens. Two independent chest radiologists evaluated the characteristics of the largest cavity and related factors.
RESULTS: Interobserver agreement was excellent (κ value, 0.853-0.938). Cavity walls in NTM disease were significantly thinner (6.9±4 mm vs 10.9±6 mm, P<0.001) and more even (the ratio of thickness, 2.6±1 vs 3.7±2, P<0.001) than those in TB. The thickening of adjacent pleura next to the cavity was also significantly thicker in NTM than TB (P<0.001). However, in the multivariate analysis, thickening of adjacent pleura was the only significant factor among the representative cavity findings (Odds ratio [OR], 6.49; P<0.001). In addition, ill-defined tree-in-bud nodules (OR, 8.82; P<0.001), number of non-cavitary nodules (≥10mm) (OR, 0.72; P = 0.003), and bronchiectasis in the RUL (OR, 5.3; P = 0.002) were significantly associated ancillary findings with NTM disease in the multivariate analysis.
CONCLUSIONS: The major cavities in NTM disease generally have thinner and more even walls than those in TB. When cavities are associated with adjacent pleural thickening, ill-defined satellite tree-in-bud nodules, or fewer non-cavitary nodules ≥10 mm, these CT findings are highly suggestive of NTM disease rather than TB.

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Mesh:

Year:  2017        PMID: 28346488      PMCID: PMC5367717          DOI: 10.1371/journal.pone.0174240

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Nontuberculous mycobacteria (NTM) are ubiquitous in the environment and are increasingly being recognized as significant in chronic pulmonary infections [1]. The most frequently encountered NTM lung disease worldwide is caused by Mycobacterium avium-intracellulare complex (MAC) [2-4]. Although the incidence and prevalence of NTM disease vary between populations, both have tended to increase over time [4-9]. In South Korea as well, the isolation of NTM on both solid and liquid media, and NTM disease, have been increasing in clinical practice [10,11]. South Korea has an intermediate tuberculosis burden, and therefore it is important to distinguish NTM disease from Mycobacterium tuberculosis disease (TB). The evaluation of mycobacterial infections by sputum study, culture, and TB-PCR usually takes a long time, and a quicker way of discriminating the two diseases is necessary for prompt treatment. There are some differences in the conventional radiographic features between pulmonary NTM disease and TB. NTM disease tends to cause thin-walled cavities with less surrounding parenchymal infiltrate, to have less bronchogenic but more contiguous spread of disease, and produce more marked involvement of the pleura over the involved areas of the lungs on chest radiographs [1,12]. Thin section chest CT has shown that up to 90% of MAC patients with non-cavitary disease in the mid and lower lung fields have associated multifocal bronchiectasis, with many patients having clusters of small (<5 mm) nodules in the associated areas of lung [13-15]. However, cavities are common in both NTM disease [16] and TB [17] and are a hallmark of the active infectious state in both diseases [17,18]. To our knowledge, there are no previous studies that aimed to discriminate between the two diseases on the basis of CT of their representative cavities and associated ancillary findings. The CT characteristics of the cavities and associated ancillary findings might help clinicians and radiologists discriminate between the two disease entities and give prompt treatment to some patients. Therefore, the primary purpose of this study was to describe the differences between the CT findings of HIV-negative patients who have cavities with nontuberculous mycobacteria (NTM) disease and those with Mycobacterium tuberculosis infections (TB).

Materials and methods

Study population

This study was approved by the Institutional Review Board of our hospital (Approval number: 2016–0056), and the requirement for the patient informed consent was waived due to its retrospective manner. The electronic database and the registry of mycobacterial infections (of T.S.S) of this academic tertiary referral institution were searched to identify NTM disease and TB patients proven by culture between November 2004 and December 2013. Finally, 177 NTM disease patients and 302 TB patients were identified. The former were diagnosed with NTM pulmonary infection and fulfilled the American Thoracic Society/Infectious Diseases Society of America criteria for the diagnosis of NTM disease [1]. The inclusion criteria for patients were as follows: a) at least one visible cavity lesion in CT (>10mm); b) TB or NTM proven by culture; c) CT images available before treatment; and d) >18-years-old. Subsequent exclusion criteria were as follows: a) poor image quality for evaluating lung lesions including cavities (n = 23); b) insufficient computerized medical records (n = 6); c) HIV-positive (n = 2); d) co-infection with other pathogens including invasive mold disease or pseudomonas (n = 16). As a result, 128 NTM disease patients (79 males and 49 females) were finally identified. They were matched for age and gender with 128 TB patients in the same period. Fig 1 summarizes the patient selection process.
Fig 1

Flow chart of the study population.

NTM = Nontuberculous mycobacterial, TB = Mycobacterium tuberculosis infection, CT = computed tomography, HIV = human immunodeficiency virus.

Flow chart of the study population.

NTM = Nontuberculous mycobacterial, TB = Mycobacterium tuberculosis infection, CT = computed tomography, HIV = human immunodeficiency virus.

CT imaging protocol

Various CT units were used over the >10-year follow-up period: a Sensation 16, SOMATOM Definition, SOMATOM Definition flash, SOMATOM Definition AS+ scanner (all manufactured by Siemens Medical Systems, Erlangen, Germany), LightSpeed 16, LightSpeed Plus, or LightSpeed VCT scanner (manufactured by GE Healthcare, Milwaukee, WI). The scanning parameters were as follows: beam collimation, 16 x 0.75 mm, 32 x 0.6 mm, or 64 x 0.6 mm; beam pitch, 0.984:1; gantry rotation time, 0.5 seconds; field of view to fit; 120 kVp. An automated dose reduction system was used (CARE Dose 4D, Siemens Medical Solutions; Auto mA/ Smart mA, GE Healthcare) with the maximum allowable tube current set at 100–400 mAs. Three- or five-mm-thick images at 3-mm/5-mm intervals without gaps were reconstructed in the axial planes. Coronal reformations have been routinely performed at a slice thickness of 5 mm for all CT scans since 2008. For contrast enhancement, intravenous contrast medium (100 cc of 300 mgI/mL nonionic contrast) was administered at a rate of 2–3 mL/seconds using an automatic power injector.

CT interpretation

The CT scan nearest to the time of treatment, but before treatment, was selected for the radiologic review. The mean time between the first NTM and TB isolation and CT examination was 18.5±7.8 days (range, 0–34 days). These CT scans were retrospectively reviewed by 2 independent expert chest radiologists with 19 (M.Y.K) and 5 years (S.Y.O) of experience, respectively, blinded to the patient information, and patients were assigned in random order. We evaluated the largest cavity in any of the six lobes of the lung (right upper lobe [RUL], right middle lobe [RML], right lower lobe [RLL], left upper lobe [LUL], lingular division, and left lower lobe [LLL]) as the main target lesion. The size of the cavity, the thickness of the cavity wall including the thinnest and thickest portions, the ratio of the thickest portion to the thinnest portion, and the prevalence of focal thickening of the pleura adjacent to the target cavity were evaluated in the lung window setting. As ancillary findings we evaluated the size (mm, none, <3mm, 3-6mm, >6mm) and margins (ill-defined/well-defined) of the satellite branching centrilobular nodules (tree-in-bud pattern) surrounding the cavity, the presence of pleural effusion, number of non-cavitary nodules ≥10mm, the presence of bronchiectasis in any of the six lobes, and the presence of bronchiectasis involving more than 5 lobes.

Review of other clinical data

One of the authors (S.H.P with clinical experience of three years) reviewed the medical charts. Age, gender, body mass index (BMI), smoking history, previous TB history, underlying disease (DM, the status of diabetes control, malignancy, and chronic obstructive pulmonary disease [COPD]), initial symptoms (cough, sputum, hemoptysis, dyspnea, or fever), and laboratory findings (albumin, white blood cell [WBC], C-reactive protein [CRP]) of all the study patients were recorded. Uncontrolled DM was defined as glycated hemoglobin (HbA1C) level ≤ 7.0% [19]. NTM pathogens proven in culture were also recorded.

Statistical analysis

To compare clinical, demographic, and CT findings in the two study populations, Student’s t-test was used for continuous variables and the chi-square test for categorical variables. Variables were subjected to multivariate analysis by logistic regression and forward stepwise selection after univariate analysis. Interobserver variation was quantified by κ coefficients of agreement (κ values of 0.00–0.20, poor agreement; 0.21–0.40, fair agreement; 0.41–0.60, moderate agreement; 0.61–0.80, good agreement; and 0.81–1.00, excellent agreement). A P value < 0.05 was considered significant. All statistical analyses were performed with SPSS package, version 21.0 (SPSS, Chicago, Ill) by an expert statistician (S.S.K., 10 years’ experience).

Results

Comparison of the clinical characteristics of the two study populations

Clinical findings for the two study population are summarized in Table 1. The BMI of the NTM disease patients was lower than that of the TB patients (P<0.001). There were no significant differences in age and gender. Never smokers and patients with previous histories of TB were more common in the NTM disease group (P<0.001). DM and COPD were more common in TB (P<0.001 and P = 0.045, respectively). Among DM patients, the status of diabetes control was not significantly different between NTM and TB patients. The significant factors in multivariate analysis were never smoker (OR [odds ratio], 6.52; CI [confidence interval], 1.88–22.6; P = 0.003), previous TB history (OR, 3.57; CI, 1.23–10.4; P = 0.02), and dyspnea (OR, 0.05; CI, 0.003–0.73; P = 0.03). M. intracellulare was the most common pathogen in the NTM disease group (48.4%), followed by M. avium (30%), M. abscessus (11.7%), M. kansasii (6.3%), and others (3.9%) including M. chimaera, M. szulgai, M. chelonae, and M. fortuitum. The proportion of patients with a positive sputum AFB smear was similar between NTM and TB group (49.2% [63/128] vs. 46.1% [59/128], P = 0.532).
Table 1

Clinical characteristics of 256 patients with nontuberculous mycobacterial infections and Mycobacterium tuberculosis infections.

Clinical findingaNTM (%) (n = 128)TB (%) (n = 128)P-value
Age (years, mean±SD)b60.8±13.160.2±10.40.666
Gender>0.999
Male79 (61.7)79 (61.7)
Female49 (38.3)49 (38.3)
BMIb20.3±3.022.1±2.9<0.001
Smoking<0.001
Current smoker14 (10.9)49 (38.3)
Ex-smoker44 (34.4)39 (30.5)
Never smoker70 (54.7)40 (31.3)
Previous PTB history62 (48.4)17 (13.3)<0.001
Underlying disease
DM14 (10.9)46 (35.9)<0.001
Status of diabetes control0.535*
• Well-controlled DM7 (50)63)
• Uncontrolled DM7 (50)17 (37)
Malignancy9 (7.0)17 (13.3)0.098
Chronic lung disease
COPD12 (9.4)23 (18)<0.045
ILD11 (8.6)5 (3.9)0.121
Symptom
Cough107 (83.6)82(64.1)<0.001
Sputum91 (71.1)69(53.9)0.005
Hemoptysis35 (27.3)16(12.5)0.003
Dyspnea1 (0.8)19(14.8)<0.001
Fever9 (7.0)5(3.9)0.272
Laboratory findingb
Albumin (g/dL, mean±SD)3.7±0.63.5±0.60.091
White blood cell (uL, mean±SD)6880±20687365±22090.074
C-reactive protein (mg/dL, mean±SD)1.6±2.02.4±3.30.051

NTM = Nontuberculous mycobacteria, TB = Mycobacterium tuberculosis infection, SD = standard deviation, BMI = body mass index, COPD = chronic obstructive pulmonary disease, ILD = interstitial lung disease.

*Significance within DM patients, not in the whole study population

a chi-square test

b Student’s t-test

NTM = Nontuberculous mycobacteria, TB = Mycobacterium tuberculosis infection, SD = standard deviation, BMI = body mass index, COPD = chronic obstructive pulmonary disease, ILD = interstitial lung disease. *Significance within DM patients, not in the whole study population a chi-square test b Student’s t-test

Comparison of the CT findings in the study populations

Interobserver agreement between the two readers was excellent (κ value, 0.853–0.938). The CT findings are presented in Table 2. In the analysis of the largest cavities, both the thickest and the thinnest cavity walls were thinner in NTM disease than in TB (6.9±3.7mm vs. 10.9±5.6mm, P<0.001; 2.8±1.2mm vs. 3.4±1.8mm, P = 0.003) (Figs 2 and 3). The ratio of the thickest to the thinnest portion, representing the irregularity of the cavity lesion, was lower in NTM disease than TB (2.6±1.4 vs. 3.7±2.1, P<0.001), and thickening of the pleura next to target cavity was more common in NTM disease (80/128 patients [62.5%] vs. 32/128 [25%], P<0.001) (Fig 4). In the sub-analysis of the cavity characteristics in which we excluded patients with uncontrolled DM, the results were the same as the results from the whole patient population (See S1 Table).
Table 2

CT findings of 256 patients with nontuberculous mycobacterial pulmonary infections and Mycobacterial tuberculosis infections.

CT findingaNTM (%) (n = 128)TB (%) (n = 128)P-value
Representative cavity
Size (mm)b33±1641±610.163
Location (%)0.178
RUL52 (41)52 (41)
RML6 (4.7)1 (0.8)
RLL27 (21)22 (17)
LUL28 (22)32 (25)
Lingular division4 (3)0 (0)
LLL11 (9)21 (16)
Both upper lobes80 (63)84 (66)0.602
Thickness of the thickest cavity wall (mm, mean±SD)b6.9±410.9±6<0.001
Thickness of the thinnest cavity wall (mm, mean±SD)b2.8±13.4±20.003
The ratio of thicknessb2.6±13.7±2<0.001
Thickening of adjacent pleura (%)80 (63)32 (25)<0.001
Ancillary finding
Satellite tree-in-bud pattern nodules, size (%)<0.001
None1 (0.8)5 (4)
<3 mm79 (62)15 (12)
3–6 mm31 (24)50 (39)
>6mm17 (13)58 (45)
Satellite tree-in-bud pattern nodules, margin (%)<0.001
Ill-defined92 (72)21 (17)
Well-defined36 (28)103 (83)
Pleural effusion (%)5 (4)4 (3)0.749
Number of non-cavitary nodules (≥10mm)b1.0±21.7±20.007
Bronchiectasis (%)
RUL65 (51)11 (9)<0.001
RML59 (46)10 (8)<0.001
RLL50 (39)10 (8)<0.001
LUL41 (32)10 (8)<0.001
Lingular division46 (36)9 (7)<0.001
LLL27 (21)10 (8)0.003
Bronchiectasis involving > 5 lobes (%)19 (15)1 (0.8)<0.001

NTM = Nontuberculous mycobacteria, TB = Mycobacterium tuberculosis infection, SD = standard deviation, RUL = right upper lobe, RML = right middle lobe, RLL = right lower lobe, LUL = left upper lobe, LLL = left lower lobe.

a chi-square test

b Student’s t-test

Fig 2

CT images of a Mycobacterium avium pulmonary infection in a 44-year-old man.

Axial CT images with lung and mediastinal window settings (2.5-mm slice) were obtained at the level of the segmental bronchi of the right lower lobe. The CT images show relatively thin and relatively even thickening of the cavity, and tiny ill-defined satellite nodules (<4 mm) with air trapping in the right lower lobe. Note pleural thickening next to the cavity (B) (arrowheads).

Fig 3

CT images of Mycobacterium tuberculosis infection in a 67-year-old man.

Chest CT axial images with a lung window settings (2.5-mm slice) were obtained at the levels of the superior vena cava and right middle lobar bronchus. The CT image show a cavity with a thick and irregular wall and multiple satellite tree-in-bud nodules in the right upper lobe (A). Note the multiple well-defined tree-in-bud nodules (>6 mm) in the right middle lobe (B).

Fig 4

CT images of a Mycobacterium intracellulare pulmonary infection in a 41-year-old woman.

Chest CT axial images with lung and mediastinal window settings (2.5-mm slice) show a thin-walled cavity (A) with adjacent pleural thickening (B) (arrowheads).

NTM = Nontuberculous mycobacteria, TB = Mycobacterium tuberculosis infection, SD = standard deviation, RUL = right upper lobe, RML = right middle lobe, RLL = right lower lobe, LUL = left upper lobe, LLL = left lower lobe. a chi-square test b Student’s t-test

CT images of a Mycobacterium avium pulmonary infection in a 44-year-old man.

Axial CT images with lung and mediastinal window settings (2.5-mm slice) were obtained at the level of the segmental bronchi of the right lower lobe. The CT images show relatively thin and relatively even thickening of the cavity, and tiny ill-defined satellite nodules (<4 mm) with air trapping in the right lower lobe. Note pleural thickening next to the cavity (B) (arrowheads).

CT images of Mycobacterium tuberculosis infection in a 67-year-old man.

Chest CT axial images with a lung window settings (2.5-mm slice) were obtained at the levels of the superior vena cava and right middle lobar bronchus. The CT image show a cavity with a thick and irregular wall and multiple satellite tree-in-bud nodules in the right upper lobe (A). Note the multiple well-defined tree-in-bud nodules (>6 mm) in the right middle lobe (B).

CT images of a Mycobacterium intracellulare pulmonary infection in a 41-year-old woman.

Chest CT axial images with lung and mediastinal window settings (2.5-mm slice) show a thin-walled cavity (A) with adjacent pleural thickening (B) (arrowheads). With respect to ancillary findings, satellite tree-in-bud pattern nodules surrounding cavities < 3 mm with ill-defined margins were more common in NTM disease than in TB (P<0.001) (Figs 5 and 6). At the same time there were fewer non-cavitary macro-nodules (≥10mm) in NTM disease than in TB (P = 0.007). Bronchiectasis in both lungs was more frequent in NTM disease than TB (all P<0.001 except for LLL [P = 0.003) as was bronchiectasis involvement of > 5 lobes (P<0.001).
Fig 5

CT images of a Mycobacterium intracellulare pulmonary infection in a 77-year-old man.

Chest CT axial images were obtained at the level of the right bracheocephalic vein (2.5- mm slice). The lung window setting shows the thin and even thickness of the cavity (arrowheads) in the right upper lobe (A). The mediastinal window setting shows thick pleural thickening with proliferation of extra-pleural fat next to the cavity in the right upper lobe (arrows) (B).

Fig 6

CT images of a Mycobacterium tuberculosis infection in a 73-year-old female.

Chest CT axial images (2.5 mm collimation) were obtained of the bronchus intermedius (A, B) and superior segmental bronchi of both lower lobes (C). The lung and mediastinal window settings show a thick-walled cavity in the superior segment of the right lower lobe (A) without marked pleural thickening next to the cavity (B). (C) Note the multiple satellite tree-in-bud nodules in the superior segment of both lower lobes (> 6 mm) and the macronodules in the left lower lobe (≥10mm).

CT images of a Mycobacterium intracellulare pulmonary infection in a 77-year-old man.

Chest CT axial images were obtained at the level of the right bracheocephalic vein (2.5- mm slice). The lung window setting shows the thin and even thickness of the cavity (arrowheads) in the right upper lobe (A). The mediastinal window setting shows thick pleural thickening with proliferation of extra-pleural fat next to the cavity in the right upper lobe (arrows) (B).

CT images of a Mycobacterium tuberculosis infection in a 73-year-old female.

Chest CT axial images (2.5 mm collimation) were obtained of the bronchus intermedius (A, B) and superior segmental bronchi of both lower lobes (C). The lung and mediastinal window settings show a thick-walled cavity in the superior segment of the right lower lobe (A) without marked pleural thickening next to the cavity (B). (C) Note the multiple satellite tree-in-bud nodules in the superior segment of both lower lobes (> 6 mm) and the macronodules in the left lower lobe (≥10mm). In the univariate analysis, the thickness of the thickest cavity wall (OR, 0.96; CI, 0.94–0.99; P = 0.002), the ratio of thickness (OR, 0.92; CI, 0.86–0.99; P = 0.022), thickening of adjacent pleura (OR, 2.5; CI, 1.66–3.77; P<0.001), tree-in-bud pattern nodules <3 mm (OR, 4; CI, 2.45–6.53; P<0.001), ill-defined tree-in-bud nodules (OR, 4.38; CI, 2.73–7.04; P<0.001), number of non-cavitary nodules (≥10mm) (OR, 0.88; CI, 0.79–0.98; P = 0.025), bronchiectasis in all lobes (RUL: OR, 5.91; CI, 3.12–11.2; P<0.001, RML: OR, 5.9; CI, 3.02–11.5; P<0.001, RLL: OR, 5; CI, 2.54–9.86; P<0.001, LUL: OR, 4.1; CI, 2.05–8.19; P<0.001, lingular division: OR, 5.11; CI, 2.5–10.4; P<0.001, and LLL: OR, 2.7; CI, 1.31–5.58; P = 0.007), and the presence of bronchiectasis involving more than 5 lobes (OR, 19; CI, 2.54–141.9; P = 0.004) were associated with NTM disease. Multivariate analysis logistic regression was calculated for the variables which were significantly associated with NTM disease in the univariate analysis. The thickening of adjacent pleura (OR, 5.54; CI, 2.02–15.2; P = 0.001), ill-defined tree-in-bud nodules (OR, 8; CI, 2.1–30.4; P = 0.002), number of non-cavitary nodules (≥10mm) (OR, 0.72; CI, 0.56–0.9; P = 0.015), and bronchiectasis in RUL (OR, 4.7; CI, 1.3–16.4; P = 0.015) were significantly associated with NTM disease. The results of univariate and multivariate analysis to identify CT findings and also clinical findings in predicting NTM disease are shown in Table 3.
Table 3

Results of univariate and multivariate analysis.

Univariate analysisMultivariate analysis
VariableOR95% CIP valueOR95% CIP value
Representative cavity
Thickness of the thickest cavity wall (mm)0.960.94–0.990.002
Thickness of the thinnest cavity wall (mm)0.950.89–1.020.190
The ratio of thickness0.920.86–0.990.022
Thickening of adjacent pleura2.51.65–3.780.0015.542.02–15.20.001
Ancillary finding
Satellite tree-in-bud pattern nodules (referent to >6 mm)
<3 mm42.45–6.53<0.001
3–6 mm0.620.4–0.970.037
Margin of tree-in-bud pattern nodules (referent to well-defined)
Ill-defined4.382.73–7.04<0.00182.1–30.40.002
Number of non-cavitary nodules (≥10mm)0.880.79–0.980.0250.720.56–0.90.015
Bronchiectasis
RUL5.913.12–11.2<0.0014.71.3–16.40.015
RML5.93.02–11.5<0.001
RLL52.54–9.86<0.001
LUL4.12.05–8.19<0.001
Lingular division5.112.5–10.4<0.001
LLL2.71.31–5.580.007
Bronchiectasis involving > 5 lobes192.54–141.90.004
Clinical finding
BMI0.990.98–10.343
Smoking (reference to current smoker)
Ex-smoker1.130.73–1.740.583
Never smoker1.751.19–2.580.0056.521.88–22.60.003
Previous TB history3.652.13–6.24<0.0013.571.23–10.40.02
Underlying disease
DM0.30.17–0.55<0.001
Symptom
Cough1.30.98–1.740.07
Sputum1.320.96–1.80.083
Hemoptysis2.191.21–3.950.009
Dyspnea0.050.01–0.390.0040.050.003–0.740.03

OR = odds ratio, CI = confidence interval.

OR = odds ratio, CI = confidence interval.

Discussion

We have reported CT findings in NTM disease and compared them with those in TB, focusing on the largest and most representative cavities and associated ancillary findings. Our results revealed the characteristics of the cavities in NTM disease, showing that they were thinner and more even walled than those seen in TB. However, in multivariate analysis, thickening of the pleura adjacent to cavities was the only significant factor of the representative cavity findings in the multivariate analysis. There have been reports of some differences between TB and NTM in the course of cavity formation, which could explain the different characteristics of the cavities in NTM disease and TB in our study: The cavity in TB is known to be formed by the coalescence of several tiny centrilobular cavities as the disease progresses [20,21], and in the stage of active caseous air-space consolidation, the cavity wall is usually thick and has an indistinct outer margin [17]. And these reports support our study results of relatively thicker and irregular walls of TB. For NTM disease, the previous study suggested that NTM disease begins with bronchial wall thickening, followed by peribronchial thickening or nodules, and develops into inflamed cystic bronchiectasis that manifests as cavities [22]. Therefore, we believe this study’s results also support the results of our study, in which we observed thinner and more even cavity walls in NTM. It is possible that the thickness and sharpness of the cavity walls are dependent on the stage of the disease; however, the proportion of patients with a positive sputum AFB smear was similar between NTM and TB in our study, which could be used as a marker of disease activity. Additionally, WBC counts and CRP level, which were used as inflammatory biomarkers for disease activity in TB or NTM in previous studies [23,24], were not significantly different between TB and NTM disease. Pleural thickening adjacent to the cavity was the most significant predictor for NTM disease in our study, but only few previous studies had been reported this finding [12]. Christensen et al. reported that thickening of the pleura immediately adjacent to cavities occurred in both NTM and TB, but it was more common with NTM disease than TB (56% of M. intracellularis, 37% of M. kansasii, and 24% of TB) [12,25]. In addition, extensive pleural thickening > 2 cm was more commonly observed in NTM disease than TB (16% of M. intracellularis, 3% of M. kansasii, and none of TB). This finding was thought to be due to a more indolent and chronic course of NTM disease. However, because these studies were performed using only chest radiographs, it was not possible to discern how much of pleural thickening was truly pleural and represented parenchymal disease in the wall of adjacent cavity. Previously, although there have been several studies describing the characteristics of the cavities in NTM disease using radiographs or CT, there were no clear-cut differentiating features. Some studies reported that NTM disease tended to cause smaller and thinner-walled cavities than TB [12,16,25,26], but at least one found no difference in cavity wall thickness [27]. Furthermore, Moore et al. reported the presence of relatively thick-walled cavities in CT images of NTM disease [14]. However, we believe these previous studies have significant limitations: because they were performed in the 1980’-1990’s some used only chest radiographs, and the quality of the radiographs and CT images in these early studies must have been poorer than ours. Our analysis of the ancillary findings revealed that smaller satellite tree-in-bud pattern nodules (< 3 mm), satellite nodules with ill-defined margin, fewer non-cavitary nodules of ≥10 mm, bronchiectasis in all lobes, and the presence of bronchiectasis involving > 5 lobes were more frequent in NTM disease than TB. Also, ill-defined nodule margins and rare non-cavitary macronodules (≥ 10 mm) were significant factors predicting NTM disease. In TB, bronchogenic dissemination is the most common route of spreading [21,28], and manifests as multiple, 5- to 10-mm nodules with segmental or lobar distributions [28]. NTM disease and TB are similar in terms of bronchogenic spreading, but the former has a more chronic, indolent course than TB. Microscopically there was also sloughing of the epithelial lining and circumferential replacement of the bronchial wall architecture by granulomatous inflammation [29]. Such differences in the patterns of progression of the two types of infection might be responsible for the differences in CT findings. Radiologists as well as pulmonologists are generally unable to distinguish between NTM disease and TB, particularly in patients with dominant cavities, because of the considerable overlap in the clinical features of the two diseases [30]. In our study, symptoms such as cough, sputum, and hemoptysis were significantly more frequent in NTM disease and dyspnea was significantly more frequent in TB. However, we believe that these symptoms would not help clinicians distinguish between NTM disease and TB, because they are quite nonspecific. In our study, there were 60 patients with DM, and they were significantly more numerous among the TB patients than among those with NTM disease. In previous reports, the presence of cavities was associated with HbA1C level, and cavity formation was significantly more common in uncontrolled DM patients than in non-DM patients [19,31]. Also, whereas a previous study showed no significant difference in the formation of cavities between non-DM and well-controlled DM in TB patients [19], there has yet to be any corresponding reports on NTM. In our study, there was no significant difference in the status of diabetes control among DM patients in NTM and TB patients. Considering the unknown effects of DM on cavity characteristics, we excluded patients with uncontrolled DM in the sub-analysis, which yielded no differences in comparison to the results of the whole study population. Therefore, uncontrolled DM may affect cavity formation in TB or NTM disease, but it may not affect the characteristics of the cavities. We believe further study is needed on this subject in order to clearly define the relationship between DM and cavities. Because we matched age and gender in the patient selection process, there were no significant difference in age and gender between the patients with NTM disease and TB in our study. However, in previous studies, NTM disease was more frequent in older patients and postmenopausal women than TB [32-36]. This study had some limitations. First, it was a retrospective study in a single center in a country with semi-endemic TB. Therefore, some clinical characteristics may have been under- or over-estimated. Second, it included different species of NTM, which might have influenced the characteristics of the lesions, e.g. it has been reported that 84% of infective foci of M. kansasii had cavities [12,25]. In our study, only 6.3% of patients who had M. kansasii, and the most common pathogen was M. intracellulare. Therefore, further studies are necessary to compare the imaging characteristics of TB and M. kansasii in a larger population. Third, there were several confounding factors in patient selection such as history of TB, COPD, and DM which could not be completely excluded all. In conclusion, the major cavities in NTM disease generally have thinner and more even walls than those in TB. When cavities are associated with adjacent pleural thickening, ill-defined satellite tree-in-bud nodules, or fewer non-cavitary nodules ≥10 mm, these CT findings are highly suggestive of NTM disease rather than TB.

CT findings of 256 original patients and 232 patients excluding uncontrolled DM with nontuberculous mycobacterial pulmonary infections and Mycobacterial tuberculosis infections.

(DOCX) Click here for additional data file.

Minimized dataset of the study.

(XLSX) Click here for additional data file.
  36 in total

1.  Recovery rate of NTM from AFB smear-positive sputum specimens at a medical centre in South Korea.

Authors:  K Jeon; W J Koh; O J Kwon; G Y Suh; M P Chung; H Kim; N Y Lee; Y K Park; G H Bai
Journal:  Int J Tuberc Lung Dis       Date:  2005-09       Impact factor: 2.373

2.  Rapid increase of non-tuberculous mycobacterial lung diseases at a tertiary referral hospital in South Korea.

Authors:  Y S Park; C-H Lee; S-M Lee; S-C Yang; C-G Yoo; Y W Kim; S K Han; Y-S Shim; J-J Yim
Journal:  Int J Tuberc Lung Dis       Date:  2010-08       Impact factor: 2.373

3.  Pulmonary TB and NTM lung disease: comparison of characteristics in patients with AFB smear-positive sputum.

Authors:  W J Koh; C M Yu; G Y Suh; M P Chung; H Kim; O J Kwon; N Y Lee; M J Chung; K S Lee
Journal:  Int J Tuberc Lung Dis       Date:  2006-09       Impact factor: 2.373

4.  Hypothesis on the evolution of cavitary lesions in nontuberculous mycobacterial pulmonary infection: thin-section CT and histopathologic correlation.

Authors:  Tae Sung Kim; Won-Jung Koh; Joungho Han; Myung Jin Chung; Ju Hyun Lee; Kyung Soo Lee; O Jung Kwon
Journal:  AJR Am J Roentgenol       Date:  2005-04       Impact factor: 3.959

5.  CT of tuberculosis and nontuberculous mycobacterial infections.

Authors:  Jin Mo Goo; Jung-Gi Im
Journal:  Radiol Clin North Am       Date:  2002-01       Impact factor: 2.303

6.  The effect of diabetes control status on treatment response in pulmonary tuberculosis: a prospective study.

Authors:  Young Soon Yoon; Jae-Woo Jung; Eun Ju Jeon; Haesook Seo; Yon Ju Ryu; Jae-Joon Yim; Yee Hyung Kim; Byoung-Hoon Lee; Yong Bum Park; Byoung Jun Lee; Hyun Kang; Jae Chol Choi
Journal:  Thorax       Date:  2016-08-23       Impact factor: 9.139

7.  Chest computed tomography predicts microbiological burden and symptoms in pulmonary Mycobacterium xenopi.

Authors:  Theodore K Marras; Ute Wagnetz; Frances B Jamieson; Demetris A Patsios
Journal:  Respirology       Date:  2013-01       Impact factor: 6.424

8.  Clinical relevance of non-tuberculous mycobacteria isolated in the Nijmegen-Arnhem region, The Netherlands.

Authors:  J van Ingen; S A Bendien; W C M de Lange; W Hoefsloot; P N R Dekhuijzen; M J Boeree; D van Soolingen
Journal:  Thorax       Date:  2009-02-12       Impact factor: 9.139

9.  High-resolution computed tomography and health-related quality of life in Mycobacterium avium complex disease.

Authors:  K Maekawa; Y Ito; T Oga; T Hirai; T Kubo; K Fujita; S Imai; A Niimi; K Chin; S Ichiyama; K Togashi; M Mishima
Journal:  Int J Tuberc Lung Dis       Date:  2013-06       Impact factor: 2.373

10.  Glycemic control and radiographic manifestations of tuberculosis in diabetic patients.

Authors:  Chen-Yuan Chiang; Jen-Jyh Lee; Shun-Tien Chien; Donald A Enarson; You-Cheng Chang; Yi-Ting Chen; Ting-Yu Hu; Chih-Bin Lin; Chi-Won Suk; Jui-Ming Tao; Kuan-Jen Bai
Journal:  PLoS One       Date:  2014-04-03       Impact factor: 3.240

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  12 in total

1.  Can physics principles help explain why non-tuberculous mycobacterial lung disease is more severe in the right middle lobe and lingula?

Authors:  Sangbong Choi; John C Richards; Edward D Chan
Journal:  J Thorac Dis       Date:  2019-11       Impact factor: 2.895

2.  A Rabbit Model to Study Antibiotic Penetration at the Site of Infection for Nontuberculous Mycobacterial Lung Disease: Macrolide Case Study.

Authors:  Firat Kaya; Jacqueline P Ernest; Katherine LoMauro; Martin Gengenbacher; Abdeldjalil Madani; Wassihun Wedajo Aragaw; Matthew D Zimmerman; Jansy P Sarathy; Nadine Alvarez; Isaac Daudelin; Han Wang; Faye Lanni; Danielle M Weiner; Laura E Via; Clifton E Barry; Kenneth N Olivier; Thomas Dick; Brendan K Podell; Radojka M Savic; Véronique Dartois
Journal:  Antimicrob Agents Chemother       Date:  2022-01-31       Impact factor: 5.938

3.  Diagnosis of non-tuberculous mycobacterial pulmonary disease (NTM-PD): modern challenges.

Authors:  Besma Musaddaq; Joanne R Cleverley
Journal:  Br J Radiol       Date:  2019-12-11       Impact factor: 3.039

4.  Comparison of chest X-ray lesion characteristics of multidrug-resistant tuberculosis and non-tuberculous mycobacterial infection.

Authors:  Ana Majdawati; Aziza Ghanie Icksan; Dina Lolong
Journal:  Pol J Radiol       Date:  2019-03-23

Review 5.  Spectrum of imaging findings in pulmonary infections. Part 2: Fungal, mycobacterial, and parasitic.

Authors:  Mandeep Garg; Nidhi Prabhakar; Ajay Gulati; Ritesh Agarwal; Sahajal Dhooria
Journal:  Pol J Radiol       Date:  2019-04-22

6.  Pulmonary Densitovolumetry Using Computed Tomography in Patients with Nontuberculous Mycobacteria: Correlation with Pulmonary Function Tests.

Authors:  Patricia Gomes Cytrangulo De Marca; Telma Goldenberg; Fernanda Carvalho Queiroz Mello; Alysson Roncally Silva Carvalho; Alan Ranieri Medeiros Guimarães; Roberto Mogami; Agnaldo José Lopes
Journal:  Pulm Med       Date:  2019-02-03

7.  Machine Learning-Based Differentiation of Nontuberculous Mycobacteria Lung Disease and Pulmonary Tuberculosis Using CT Images.

Authors:  Zhiheng Xing; Wenlong Ding; Shuo Zhang; Lingshan Zhong; Li Wang; Jigang Wang; Kai Wang; Yi Xie; Xinqian Zhao; Nan Li; Zhaoxiang Ye
Journal:  Biomed Res Int       Date:  2020-09-29       Impact factor: 3.411

8.  Clinical Implications of Size of Cavities in Patients With Nontuberculous Mycobacterial Pulmonary Disease: A Single-Center Cohort Study.

Authors:  Hye-Rin Kang; Eui Jin Hwang; Sung A Kim; Sun Mi Choi; Jinwoo Lee; Chang-Hoon Lee; Jae-Joon Yim; Nakwon Kwak
Journal:  Open Forum Infect Dis       Date:  2021-02-24       Impact factor: 3.835

9.  Differentiating nontuberculous mycobacterium pulmonary disease from pulmonary tuberculosis through the analysis of the cavity features in CT images using radiomics.

Authors:  Qinghu Yan; Wuzhang Wang; Wenlong Zhao; Liping Zuo; Dongdong Wang; Xiangfei Chai; Jia Cui
Journal:  BMC Pulm Med       Date:  2022-01-07       Impact factor: 3.317

10.  Drug susceptibility profiles and factors associated with non-tuberculous mycobacteria species circulating among patients diagnosed with pulmonary tuberculosis in Tanzania.

Authors:  Togolani Godfrey Maya; Erick Vitus Komba; Gloria Ivy Mensah; Peter Masunga Mbelele; Stella George Mpagama; Sayoki Godfrey Mfinanga; Kennedy Kwasi Addo; Rudovick Reuben Kazwala
Journal:  PLoS One       Date:  2022-03-24       Impact factor: 3.240

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