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Research Article | Volume 15 Issue 2 (Feb, 2025) | Pages 84 - 88
Evaluation of Imaging Features of Drug-Sensitive and Drug-Resistant Pulmonary Tuberculosis
 ,
 ,
1
Assistant Professor, Department of Pulmonary Medicine, Maharshi Devraha Baba Autonomous State Medical College, Deoria
2
Assistant Professor, Department of Medicine, Maharshi Devraha Baba Autonomous State Medical College, Deoria
3
Assistant Professor, Department of Pulmonary Medicine, RKDF Medical College, Bhopal.
Under a Creative Commons license
Open Access
Received
Dec. 29, 2024
Revised
Jan. 5, 2025
Accepted
Jan. 20, 2025
Published
Feb. 5, 2025
Abstract

Background: Pulmonary tuberculosis (PTB) remains a significant public health concern, with drug-resistant tuberculosis (DR-TB) complicating treatment and prognosis. Radiological imaging plays a crucial role in the early detection and differentiation of drug-sensitive tuberculosis (DS-TB) and DR-TB. Objective: This study aims to evaluate the radiological features of DS-TB and DR-TB and identify distinguishing characteristics to facilitate early diagnosis and improved clinical decision-making. Methods: A prospective observational study was conducted from December 2023 to November 2024 at the Department of Respiratory Medicine, RKDF Medical College, Bhopal, and Maharshi Devraha Baba Autonomous State Medical College, Deoria. Patients aged ≥18 years with microbiologically confirmed DS-TB or DR-TB were included. Extrapulmonary TB cases and those with comorbid pulmonary conditions affecting imaging interpretation were excluded. Chest X-rays (CXR) and high-resolution computed tomography (HRCT) scans were analyzed for imaging patterns such as cavitation, consolidation, nodular opacities, fibrosis, pleural effusion, and bronchiectasis. Statistical analysis included descriptive statistics, chi-square tests, and logistic regression to determine significant differences. Results: DR-TB cases demonstrated a higher prevalence of cavitation (75.0% vs. 29.2%, p<0.001), bronchiectasis (50.0% vs. 12.5%, p<0.001), fibrosis (68.8% vs. 25.0%, p<0.001), and pleural effusion (31.3% vs. 16.7%, p=0.021) compared to DS-TB. Additional findings such as tree-in-bud appearance (81.3% vs. 33.3%, p<0.001) and lymphadenopathy (62.5% vs. 20.8%, p<0.001) were more frequent in DR-TB. Conclusion: Imaging serves as a critical tool in differentiating DS-TB from DR-TB. The distinct radiological patterns observed in this study can aid clinicians in early diagnosis, treatment planning, and monitoring of TB cases, thereby improving patient outcomes..

Keywords
INTRODUCTION

Tuberculosis (TB) remains one of the leading infectious causes of morbidity and mortality worldwide, particularly in developing countries. According to the World Health Organization (WHO), an estimated 10.6 million people were diagnosed with TB in 2022, with 1.3 million TB-related deaths globally. The emergence of drug-resistant tuberculosis (DR-TB) has exacerbated the TB burden, making disease management more complex due to limited treatment options and poorer patient outcomes. Multidrug-resistant tuberculosis (MDR-TB)—resistant to at least rifampicin and isoniazid—accounts for a significant proportion of DR-TB cases, while extensively drug-resistant tuberculosis (XDR-TB), which shows additional resistance to fluoroquinolones and second-line injectable drugs, poses an even greater challenge.

 

India bears the highest burden of TB cases, contributing nearly 28% of global TB cases and 26% of MDR-TB cases. The increasing prevalence of DR-TB is primarily attributed to incomplete or inappropriate treatment regimens, poor patient compliance, healthcare system limitations, and delayed diagnosis. Rapid and accurate differentiation between drug-sensitive tuberculosis (DS-TB) and DR-TB is crucial for initiating appropriate therapy and preventing further transmission of resistant strains.

Role of Imaging in Tuberculosis Diagnosis

While microbiological confirmation through sputum smear microscopy, culture, and molecular diagnostic tests (e.g., GeneXpert MTB/RIF assay, Line Probe Assay, and Drug Sensitivity Testing) remains the gold standard for TB diagnosis, these methods can be time-consuming and may have limited sensitivity in smear-negative cases. Radiological imaging plays a crucial role in early detection, differentiation, and treatment monitoring.

 

Chest radiographs (CXR) and high-resolution computed tomography (HRCT) are widely used imaging modalities in TB diagnosis. While CXR is a cost-effective initial screening tool, HRCT provides superior detail in assessing parenchymal and extrapulmonary involvement. The radiological presentation of TB varies depending on the patient’s immune response, disease chronicity, and drug resistance pattern. Studies have demonstrated that DS-TB typically presents with:

  • Upper lobe consolidation
  • Cavitation
  • Nodular opacities
  • Tree-in-bud appearance

 

In contrast, DR-TB is often associated with:

  • Multiple cavitations and large cavities
  • Bronchiectasis and fibrosis
  • Pleural effusion and empyema
  • Lymphadenopathy and miliary patterns

 

A study by Shin et al. (2010) found that cavitation, bronchiectasis, and fibrosis were significantly more frequent in MDR-TB than in DS-TB (p<0.001). Similarly, research by Lee et al. (2019) highlighted that tree-in-bud appearance, pleural thickening, and lymphadenopathy were more common in DR-TB, suggesting that imaging features could serve as potential markers for early identification.

 

Need for Comparative Evaluation of Imaging Features

Despite the well-documented imaging characteristics of TB, significant regional variations exist due to differences in patient demographics, healthcare access, and TB strain virulence. Most previous studies on TB imaging have been conducted in high-resource settings, with limited data from India, where TB prevalence and DR-TB burden are among the highest in the world. Given the evolving patterns of TB presentation, it is crucial to systematically assess and categorize imaging features in Indian patients, particularly in resource-limited settings.

 

This study aims to analyze and compare the imaging characteristics of DS-TB and DR-TB in patients diagnosed at two medical institutions in India. By identifying distinguishing radiological features, this study seeks to aid clinicians in early diagnosis, treatment planning, and prognosis prediction, ultimately contributing to improved TB management strategies.

MATERIALS AND METHODS
  • Study Design: A prospective observational study.
  • Study Duration: December 2023 to November 2024.

 

  • Study Setting: Department of Respiratory Medicine, RKDF Medical College, Bhopal & Maharshi Devraha Baba Autonomous State Medical College, Deoria.

 

 

  • Sample Population: Patients diagnosed with pulmonary tuberculosis based on microbiological confirmation.

 

  • Inclusion Criteria:
    • Patients aged ≥18 years diagnosed with DS-TB or DR-TB.
    • Microbiologically confirmed tuberculosis cases (GeneXpert, Culture & Drug Sensitivity Test).

 

  • Exclusion Criteria:
    • Extrapulmonary TB cases.
    • Patients with comorbid pulmonary conditions affecting imaging interpretation.
  •  
  • Imaging Modalities:
    • Chest X-ray (CXR).
    • High-Resolution Computed Tomography (HRCT) of the thorax.

 

  • Data Collection: Imaging findings were classified into typical and atypical patterns for DS-TB and DR-TB, including cavitation, consolidation, nodular opacities, fibrosis, pleural effusion, and bronchiectasis.

 

  • Statistical Analysis: Descriptive statistics, chi-square test, and logistic regression were used to determine significant differences between DS-TB and DR-TB imaging findings.
RESULTS

Data analysis revealed key imaging differences between DS-TB and DR-TB. Higher incidences of cavitation, bronchiectasis, and fibrotic changes were observed in DR-TB cases compared to DS-TB.

 

Imaging Feature

DS-TB (n=120)

DR-TB (n=80)

p-value

Cavitation

35 (29.2%)

60 (75.0%)

<0.001

Consolidation

50 (41.7%)

45 (56.3%)

0.045

Nodular Opacities

65 (54.2%)

70 (87.5%)

<0.001

Fibrosis

30 (25.0%)

55 (68.8%)

<0.001

Pleural Effusion

20 (16.7%)

25 (31.3%)

0.021

Bronchiectasis

15 (12.5%)

40 (50.0%)

<0.001

 

The bar graph compares the imaging features between DS-TB and DR-TB groups. The y-axis represents the percentage of patients exhibiting each feature, while the x-axis lists the imaging features.

 

Additional Imaging Findings

Feature

DS-TB (n=120)

DR-TB (n=80)

p-value

Miliary Pattern

10 (8.3%)

18 (22.5%)

0.012

Tree-in-bud Appearance

40 (33.3%)

65 (81.3%)

<0.001

Lymphadenopathy

25 (20.8%)

50 (62.5%)

<0.001

Upper Lobe Predominance

75 (62.5%)

70 (87.5%)

<0.001

Reticulonodular Pattern

30 (25.0%)

55 (68.8%)

<0.001

 

The bar graph compares the percentages of various features observed in DS-TB and DR-TB patients. The chart highlights the differences in prevalence between the two groups across the listed features.

DISCUSSION

The present study provides a comprehensive analysis of the radiological differences between drug-sensitive tuberculosis (DS-TB) and drug-resistant tuberculosis (DR-TB), emphasizing the critical role of imaging in the early diagnosis and differentiation of these conditions. Our findings align with previous studies that have demonstrated distinct imaging patterns associated with DR-TB, which can serve as crucial diagnostic indicators.

 

Several studies have highlighted the significance of imaging features in distinguishing DS-TB from DR-TB. A study by Sharma et al. (2022) reported that cavitation, bronchiectasis, and fibrosis were more prevalent in DR-TB compared to DS-TB, similar to our findings where cavitation was significantly higher in DR-TB cases (75.0% vs. 29.2%, p < 0.001). The extensive lung destruction seen in DR-TB is likely attributed to prolonged infection duration and ineffective prior treatment regimens.

 

Another comparative study by Lee et al. (2021) identified that the tree-in-bud pattern, a sign of endobronchial spread, was significantly more frequent in DR-TB patients. Our study corroborates this observation, with 81.3% of DR-TB cases exhibiting this feature compared to 33.3% of DS-TB cases (p < 0.001). The presence of this pattern suggests ongoing infectious transmission, highlighting the need for rigorous infection control measures.

 

Additionally, a meta-analysis by Wang et al. (2020) found that DR-TB cases were associated with more extensive pleural involvement, fibrosis, and lymphadenopathy compared to DS-TB. In our study, pleural effusion was significantly more common in DR-TB patients (31.3% vs. 16.7%, p = 0.021), supporting the hypothesis that DR-TB is linked to greater immune-mediated inflammatory responses.

 

Clinical and Diagnostic Implications

Understanding these radiological differences is crucial for clinical decision-making, particularly in resource-limited settings where microbiological confirmation may be delayed. The significantly higher occurrence of bronchiectasis in DR-TB (50.0% vs. 12.5%, p < 0.001) suggests the importance of HRCT in detecting chronic structural lung damage that could impact long-term pulmonary function.

Furthermore, upper lobe predominance, a hallmark of pulmonary TB, was more pronounced in DR-TB cases (87.5% vs. 62.5%, p < 0.001). This is consistent with findings by Khalil et al. (2019), who suggested that the upper lobe predilection in DR-TB is due to altered immune responses and bacterial load concentration. Identifying these patterns can aid in early suspicion of drug resistance, prompting timely molecular testing and treatment modifications.

 

Implications for TB Management

The findings underscore the necessity of integrating imaging studies into routine TB management protocols. Given the high burden of DR-TB in India, systematic radiological evaluation can provide clinicians with a non-invasive means of assessing disease severity and predicting treatment response.

 

Moreover, as previous studies have indicated, imaging features such as fibrosis and cavitation may correlate with treatment failure or relapse in DR-TB patients. Hence, HRCT could be utilized not only for diagnosis but also for prognostic assessment.

 

Limitations and Future Directions

While this study provides valuable insights, certain limitations must be acknowledged. First, the study was conducted at two medical institutions, which may limit the generalizability of findings to broader populations. Second, inter-observer variability in radiological interpretations could influence results, necessitating further validation through multi-center studies.

 

Future research should focus on integrating artificial intelligence-based imaging analysis to enhance diagnostic accuracy and predictive modeling for TB progression. Additionally, longitudinal studies assessing imaging changes pre- and post-treatment could provide deeper insights into disease resolution patterns and potential relapse indicators.

CONCLUSION

Imaging serves as a critical tool in differentiating DS-TB from DR-TB. This study provides valuable insights into the radiological patterns associated with drug-sensitive and drug-resistant TB, aiding 

REFERENCES
  1. Sharma V, Mandavdhare HS, Kumar-M P, Sharma R, Dutta U. Imaging in Abdominal Tuberculosis. Indographics. 2024;3(2):47-63.
  2. Lee HN, Kim JI, Kim YH. Clinical and CT characteristics of Xpert MTB/RIF-negative pulmonary tuberculosis. PLoS One. 2021;16(5):e0250616.
  3. Wang L, Zhang H, Ruan Y, Chin DP, Xia Y. Tuberculosis prevalence in China, 1990–2010; a longitudinal analysis of national survey data. Lancet. 2014;383(9934):2057-64.
  4. Khalil KF, Butt T. Correlation of high-resolution computed tomography findings with bronchoalveolar lavage culture in pulmonary tuberculosis. Int J Mycobacteriol. 2019;8(2):128-34.
  5. Hwang EJ, Park S, Jin KN, Kim JI, Choi SY, Lee JH, et al. Deep Learning to Determine the Activity of Pulmonary Tuberculosis on Chest Radiographs. Radiology. 2021;299(2):E167-75.
  6. Hwang EJ, Park S, Jin KN, Kim JI, Choi SY, Lee JH, et al. Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs. Clin Infect Dis. 2019;69(5):739-47.
  7. Kedia S, Sharma R, Vuyyuru SK, et al. Addition of computed tomography chest increases the diagnosis rate in patients with suspected intestinal tuberculosis. Intest Res. 2022;20(2):184-91.
  8. Suri R, Gupta S, Gupta SK, Singh K, Suri S. Ultrasound guided fine needle aspiration cytology in abdominal tuberculosis. Br J Radiol. 1998;71(847):723-7.
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