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Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
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Selected PET radiomic features remain the same.
Tetsuya Tsujikawa1, Hideaki Tsuyoshi2, Masafumi Kanno3
1Biomedical Imaging Research Center, University of Fukui, Fukui, Japan.
Oncotarget
|May 15, 2018
Summary
18F-FDG PET radiomic features showed strong correlations between PET/CT and PET/MR scans. Textural features were less affected by scanner differences than conventional and histogram features, indicating their robustness in radiomic analysis.
Area of Science:
- Nuclear Medicine
- Radiology
- Medical Imaging
Background:
- 18F-FDG PET/CT and PET/MR imaging are crucial for cancer diagnosis and management.
- Radiomic features extracted from PET scans can provide quantitative biomarkers for treatment response and prognosis.
- Understanding the impact of scanner and protocol variations on radiomic features is essential for multi-center studies and clinical implementation.
Purpose of the Study:
- To investigate the influence of scanner type (PET/CT vs. PET/MR) and acquisition protocols on 18F-FDG PET radiomic features.
- To compare the robustness of conventional, histogram, and textural radiomic features under varying imaging conditions.
Main Methods:
- Eight patients with gynecological cancer and seven with oral cavity/oropharyngeal cancer underwent both 18F-FDG PET/CT and PET/MR scans.
- PET/MR scans were acquired in list mode for 10 minutes, with images reconstructed for 0-2 min and 0-10 min time intervals.
- Standardized uptake value (SUV), tumor-to-muscle SUV ratio (TMR), and various histogram and textural features (skewness, kurtosis, entropy, homogeneity, SRE, LRE) were extracted and compared.
Main Results:
- Strong correlations were observed for SUV, TMR, skewness, kurtosis, entropy, and homogeneity between PET/CT and PET/MR images.
- SUVs were significantly higher on PET/MR (0-2 min and 0-10 min) than PET/CT in gynecological cancer, but not in oral cavity/oropharyngeal cancer.
- Textural features (entropy, homogeneity, SRE, LRE) showed no significant differences between PET/CT and PET/MR images, unlike conventional and histogram features.
Conclusions:
- 18F-FDG PET radiomic features demonstrate strong inter-modality correlation between PET/CT and PET/MR.
- Dixon-based attenuation correction in PET/MR may underestimate tumor uptake, particularly in oral cavity/oropharyngeal cancers.
- 18F-FDG PET textural features exhibit greater stability across different scanners and protocols compared to conventional and histogram features.
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