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Updated: Jan 24, 2026
![Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging](/_next/image?url=https%3A%2F%2Fcloudfront.jove.com%2FCDNSource%2Fteasers%2F62460.jpg&w=3840&q=50)
Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging
Published on: July 1, 2021
Added value of quantitative [18F]FDG-PET analysis in MRI-negative epilepsy: A simulation-based study using realistic
Andrés Perissinotti1, Arnau Farré-Melero2, Francisco J López-González3
1Nuclear Medicine Department, Hospital Clínic Barcelona - IDIBAPS, Spain; Biomedical Research Networking Center of Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), ISCIII, Barcelona, Spain.
Quantitative analysis of [18F]FDG-PET scans significantly improves the detection of hypometabolic foci in epilepsy. This method enhances diagnostic accuracy and physician confidence, particularly in complex cases, offering a valuable tool for non-lesional epilepsy research.
Area of Science:
- Neuroimaging
- Epilepsy Research
- Medical Imaging Analysis
Background:
- Accurate localization of epileptic foci is crucial for non-lesional epilepsy management.
- Quantitative analysis of [18F]FDG-PET images holds promise for improving focus localization.
- Lack of gold standards has hindered comprehensive evaluation of quantitative [18F]FDG-PET approaches.
Purpose of the Study:
- To evaluate the diagnostic improvements offered by quantitative analysis of [18F]FDG-PET images.
- To assess the impact of quantitative results on physicians' diagnostic confidence and accuracy.
- To introduce a novel dataset of realistic simulated MRI-negative epilepsy [18F]FDG-PET studies.
Main Methods:
- Generation of 125 realistic simulated [18F]FDG-PET studies (100 with synthetic hypometabolic foci, 25 controls).
- Visual rating (VR) and quantitative results (QR) assessment by eight nuclear physicians.
- Analysis of changes in interpretation, success rate (SR), diagnostic confidence (DC), and inter-rater agreement before and after QR.
Main Results:
- Physicians modified interpretations in 31.3% of cases after QR, increasing SR from 16.3% to 61.0%.
- Overall SR improved from 49.5% (VR) to 63.5% (QR), with significant gains in challenging cases (+71.8%).
- Inter-rater agreement improved (0.273 to 0.475, p<0.001) and diagnostic confidence significantly increased (8.1% to 38.5% 'High', p<0.001).
Conclusions:
- Quantitative analysis of [18F]FDG-PET images significantly enhances diagnostic accuracy, confidence, and inter-rater agreement in epilepsy.
- Improvements are particularly notable in challenging cases, aiding the localization of hypometabolic foci.
- The study presents a valuable methodological approach using simulated PET images for quantification research in epilepsy.
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