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Related Concept Videos

Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

207
Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
207
Pulmonary Tuberculosis V01:28

Pulmonary Tuberculosis V

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Medical management of tuberculosis (TB) patients involves a comprehensive approach that includes diagnosis, treatment, and monitoring. The specific strategies can vary depending on the type of tuberculosis (latent or active), the patient's overall health status, and other considerations.
Latent tuberculosis infection occurs when TB bacteria are present in a person's body, but are not causing illness or symptoms. It is not contagious, and preventive treatment is crucial to avoid the...
243
Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

451
Tuberculosis (TB) is a contagious infection primarily affecting the lung parenchyma but which can also affect other body parts. TB can be classified based on disease development, presentation, and the affected anatomical site.
The first classification is based on the development of the disease, and it includes the following categories:
451
Pulmonary Tuberculosis I01:29

Pulmonary Tuberculosis I

331
Tuberculosis, often called TB, is a contagious illness primarily caused by Mycobacterium tuberculosis. It mainly affects the lung parenchyma but can also impact other body parts.
Causative Organism
The primary infectious agent causing tuberculosis is Mycobacterium tuberculosis, a slow-growing, acid-fast, aerobic rod that exhibits sensitivity to heat and ultraviolet light. Instances of Mycobacterium bovis and Mycobacterium avium contributing to the development of TB infection are rare.
Mode of...
331
Pulmonary Tuberculosis II01:28

Pulmonary Tuberculosis II

379
Tuberculosis, or TB, is a bacterial infectious disease caused by Mycobacterium tuberculosis. While its primary impact is on the lungs, leading to pulmonary tuberculosis, it can also affect various other organs, a condition referred to as extrapulmonary tuberculosis.
Here is a detailed explanation of its pathophysiology:
Transmission: The process begins when a person inhales droplet nuclei containing M. tuberculosis. These are typically released into the air when an individual with pulmonary or...
379

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The MODS method for diagnosis of tuberculosis and multidrug resistant tuberculosis
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Advancements in tuberculosis diagnostics: An update.

Mainak Ghosh1, Monali Lahiri1, Aman Dalal1

  • 1Department of Biological Sciences (Pharmacology and Toxicology), National Institute of Pharmaceutical Education and Research, Hyderabad, Telangana, 500037 India.

Microbial Pathogenesis
|July 6, 2025
PubMed
Summary
This summary is machine-generated.

Tuberculosis (TB) diagnosis faces challenges from drug-resistant Mycobacterium tuberculosis (Mtb). This review explores advanced diagnostic tools, including T-SPOT, AI, and CRISPR, to improve early detection and management of TB, especially in resource-limited settings.

Keywords:
Artificial intelligenceBiosensor-based detectionCRISPRDelayed diagnosisElectronic noseResistanceTB LAMTuberculosis

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Area of Science:

  • Infectious Diseases
  • Medical Diagnostics
  • Microbiology

Background:

  • Tuberculosis (TB) remains a significant global health threat, exacerbated by rising drug resistance and treatment failures.
  • Conventional TB diagnostic methods like microscopy and chest X-rays have limitations in sensitivity, accuracy, and speed.
  • The increasing incidence of TB, with 8.2 million new cases reported in 2023, necessitates improved diagnostic strategies.

Purpose of the Study:

  • To review and highlight modern diagnostic tools for tuberculosis (TB).
  • To assess the potential of novel techniques in characterizing Mycobacterium tuberculosis (Mtb) and detecting drug resistance.
  • To emphasize the importance of point-of-care (POC) diagnostics for effective TB management in resource-limited settings.

Main Methods:

  • Review of conventional diagnostic techniques for TB detection.
  • Exploration of advanced biochemical, molecular, and immunological diagnostic tools.
  • Focus on emerging technologies such as T-SPOT, artificial intelligence (AI), electronic nose, RT PCR, TB LAM, CRISPR, and biosensor-based detection.

Main Results:

  • Modern diagnostic tools offer enhanced sensitivity, specificity, and speed compared to conventional methods.
  • Novel techniques can identify Mtb strains and detect mutations associated with drug resistance.
  • Point-of-care (POC) diagnostics show promise for rapid TB diagnosis in diverse healthcare settings.

Conclusions:

  • Advanced diagnostic tools are crucial for overcoming limitations of traditional TB detection methods.
  • The integration of technologies like AI and CRISPR can significantly improve TB diagnosis and patient management.
  • Developing accessible and accurate POC diagnostic tools is essential for controlling the global TB epidemic.