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Analysis of 18FDG PET/CT Imaging as a Tool for Studying Mycobacterium tuberculosis Infection and Treatment in Non-human Primates
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Quantitative analysis of pre- and post-treatment PET-CT scans using deformable image registration methods
Liza J Stapleford1, Jerome C Landry1, Eduard Schreibmann1
1Department of Radiation Oncology, Emory University School of Medicine and Winship Cancer Institute, Atlanta, GA, USA.
Journal of Radiosurgery and SBRT
|January 4, 2018
Summary
Quantitative PET analysis, specifically a reduction in maximum Standardized Uptake Value (SUV), can predict local control after stereotactic body radiation therapy (SBRT). This finding aids in assessing treatment effectiveness for various cancers.
Area of Science:
- Oncology
- Radiology
- Nuclear Medicine
Background:
- Stereotactic body radiation therapy (SBRT) is a key treatment for metastatic or recurrent cancers.
- Predicting local control after SBRT is crucial for patient outcomes.
- Quantitative PET analysis offers potential for early treatment response assessment.
Purpose of the Study:
- To evaluate the effectiveness of quantitative positron emission tomography (PET) analysis in predicting local control post-SBRT.
- To explore novel metabolic volume histogram (MVH) markers for response assessment.
Main Methods:
- Two cohorts (14 and 23 patients) with metastatic/recurrent cancer treated with SBRT were analyzed.
- PET-CT scans were performed before and after SBRT.
- Radiation dose was mapped to PET-CTs, and metabolic volume histograms (MVH) were generated using the prescription isodose as the volume of interest (VOI).
Main Results:
- A reduction in maximum SUV post-SBRT was significantly associated with local control in both test (p=0.01) and validation (p<0.05) cohorts.
- Increased max SUV post-SBRT correlated with local failure in the test cohort.
- Exploratory analyses of MVH-derived markers did not yield significant predictors of local control.
Conclusions:
- Reduction in maximum SUV after SBRT is a reliable indicator of local control.
- Quantitative PET metrics, particularly max SUV changes, can aid in early prediction of SBRT outcomes.
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