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Updated: Dec 28, 2025

Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
Published on: September 5, 2017
Quantitative 18F-FDG PET-CT scan characteristics correlate with tuberculosis treatment response
Stephanus T Malherbe1,2, Ray Y Chen3, Patrick Dupont4,5
1Department of Science and Technology/National Research Foundation, Centre of Excellence for Biomedical Tuberculosis Research and South African Medical Research Council Centre for Tuberculosis Research, Cape Town, South Africa. malherbe@sun.ac.za.
Quantitative F-18 FDG PET-CT scans effectively monitor tuberculosis (TB) treatment response. Specific metrics like cavity volume and glycolytic activity changes accurately predict treatment failure and recurrence.
Area of Science:
- Nuclear Medicine
- Radiomics
- Infectious Disease Imaging
Background:
- F-18 FDG PET-CT is increasingly used for monitoring tuberculosis (TB) treatment response.
- Assessing TB lung lesions is challenging due to complexity, diffuse nature, dynamic changes, and persistent metabolic activity.
- Quantifying scan-based markers of disease burden and activity is crucial but difficult.
Purpose of the Study:
- To analyze serial F-18 FDG PET-CT scans using semi-automated whole lung quantification.
- To identify scan characteristics that best correlate with clinical and microbiological TB treatment outcomes.
- To evaluate the utility of quantitative PET-CT metrics in assessing treatment response.
Main Methods:
- Semi-automated, whole lung quantification of lung lesions on serial F-18 FDG PET-CT scans.
- Analysis of data from the Catalysis TB Treatment Response Cohort.
- Correlation of quantified scan metrics with clinical and microbiological outcomes.
Main Results:
- Quantified scan metrics correlated with clinical outcomes at diagnosis and 1 month post-treatment.
- Improved accuracy in differentiating clinical outcomes was observed at 6 months.
- High cavity volume predicted treatment failure (AUC 0.81); suboptimal reduction in glycolytic activity predicted recurrence (AUC 0.8).
- Lesion burden reduced post-treatment, but dynamic changes persisted in individual lesions.
Conclusions:
- Quantitative F-18 FDG PET-CT imaging provides a robust measure of TB disease burden and better characterizes treatment outcomes than qualitative assessment.
- Validated quantitative metrics hold potential for patient stratification and evaluating TB treatment efficacy.
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