High-Resolution Computed Tomography (HRCT) has emerged as an invaluable tool for diagnosing and assessing pulmonary tuberculosis (TB) in patients. This research paper provides a comprehensive review of the role of HRCT in the evaluation of lung manifestations in tuberculosis patients. The paper discusses the advantages of HRCT over conventional imaging techniques, the various radiological features of pulmonary TB, and its significance in disease staging, treatment monitoring, and follow-up. The review also highlights the challenges and limitations associated with HRCT interpretation in TB cases and explores potential future directions for enhancing its utility in clinical practice.

• Tuberculosis
• High-resolution Computed Tomography
• Pulmonary imaging
• Disease staging
• Treatment monitoring

Singh K (2024) The Role of High-Resolution Computed Tomography (HRCT) in Assessing Pulmonary Tuberculosis: A Comprehensive Review. J Radiol Radiat Ther 12(1): 1105.

Pulmonary tuberculosis remains a global health concern, necessitating accurate and timely diagnostic tools for effective management. HRCT, with its ability to provide detailed crosssectional images of lung tissue, has gained prominence as an important imaging modality for diagnosing and monitoring pulmonary tuberculosis.

Advantages of HRCT in Pulmonary Tuberculosis

HRCT offers several advantages over conventional radiography, including superior spatial resolution, multiplanar imaging capabilities, and the ability to visualize subtle parenchymal changes. This aids in the identification of early tuberculosis lesions and the differentiation of active disease from sequelae [1].

Radiological Features in Pulmonary Tuberculosis

HRCT images in tuberculosis patients often exhibit characteristic patterns, including centrilobular nodules, treein-bud opacities, consolidation, cavitation, and bronchial wall thickening. These features can be correlated with the underlying pathological changes in the lungs, aiding in accurate diagnosis [2].

Role in Disease Staging and Treatment Monitoring

HRCT enables accurate staging of pulmonary tuberculosis by assessing the extent and severity of lung involvement. It helps in identifying active disease, necrotic areas, and fibrotic changes. Moreover, HRCT is valuable in assessing treatment response, tracking disease regression, and detecting potential complications.

While HRCT is a powerful tool, challenges exist in its interpretation, especially in regions with high rates of nontuberculous mycobacterial infections and co-infections. Additionally, cost, accessibility, and radiation exposure are factors that warrant consideration.

Advancements in image analysis techniques, including artificial intelligence and machine learning, hold promise in enhancing the accuracy of HRCT interpretation in tuberculosis cases. Moreover, research focusing on establishing standardized protocols and guidelines for HRCT interpretation in tuberculosis can further improve its clinical utility.

High-Resolution Computed Tomography (HRCT) has revolutionized the way pulmonary tuberculosis is diagnosed, staged, and monitored. Its ability to provide detailed anatomical insights, coupled with its non-invasive nature, makes it an indispensable tool in clinical practice. By continually addressing challenges and embracing technological advancements, HRCT’s role in tuberculosis management is poised to grow further.

This research paper serves as a comprehensive overview of the pivotal role that HRCT plays in assessing lung manifestations in tuberculosis patients. It underscores the significance of accurate imaging in early diagnosis, effective treatment, and improved patient outcomes. As tuberculosis continues to pose a global health challenge, the continued integration of HRCT into clinical practice holds promise for enhancing tuberculosis management strategies [3].

1. Orenstein EW. “The role of computed tomography in pulmonary tuberculosis.” Clinical Radiology. 2005.
2. Sethi SK, Singh R. “High-resolution computed tomography in pulmonary tuberculosis.” The Indian Journal of Radiology & Imaging. 2012.
3. World Health Organization. “Global Tuberculosis Report.” 2023.