Purpose: Dose calculation for MR-guided radiotherapy (MRgRT) at the 0.35 T MR-Linac is currently based on deformation of planning CTs (defCT) acquired for each patient. We present a simple and robust bulk density overwrite synthetic CT (sCT) method for abdominal treatments in order to streamline clinical workflows.
Method: Fifty-six abdominal patient treatment plans were retrospectively evaluated. All patients had been treated at the MR-Linac using MR datasets for treatment planning and plan adaption and defCT for dose calculation. Bulk density CTs (4M-sCT) were generated from MR images with four material compartments (bone, lung, air, soft tissue). The relative electron densities (RED) for bone and lung were extracted from contoured CT structure average REDs. For soft tissue, a correlation between BMI and RED was evaluated. Dose was recalculated on 4M-sCT and compared to dose distributions on defCTs assessing dose differences in the PTV and organs at risk (OAR).
Results: Mean RED of bone was 1.17 ± 0.02, mean RED of lung 0.17 ± 0.05. The correlation between BMI and RED for soft tissue was statistically significant (p < 0.01). PTV dose differences between 4M-sCT and defCT were D: -0.4 ± 1.0%, D: -0.3 ± 1.1% and D: -0.5 ± 1.0%. OARs showed D: -0.3 ± 1.9% and D: -0.1 ± 1.4% differences. Local 3D gamma index pass rates (2%/2mm) between dose calculated using 4M-sCT and defCT were 96.8 ± 2.6% (range 89.9-99.6%).
Conclusion: The presented method for sCT generation enables precise dose calculation for MR-only abdominal MRgRT.
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http://dx.doi.org/10.1016/j.zemedi.2022.12.001 | DOI Listing |
Biomed Phys Eng Express
January 2025
Institute for Integrated Radiation and Nuclear Science, Kyoto University, 2-1010 Asashiro-nishi, Kumatori-cho, Sennan-gun, Osaka, 590-0494, JAPAN.
Clinical research in boron neutron capture therapy (BNCT) has been conducted worldwide. Currently, the Monte Carlo (MC) method is the only dose calculation algorithm implemented in the treatment planning system for the clinical treatment of BNCT. We previously developed the MC-RD calculation method, which combines the MC method and the removal-diffusion (RD) equation, for fast dose calculation in BNCT.
View Article and Find Full Text PDFJ Craniofac Surg
October 2024
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University.
Lipomas are benign soft tissue tumors composed of mature adipocytes, commonly found in subcutaneous tissues. Despite their prevalence in various body regions, they are relatively rare in the oral and maxillofacial regions. This study retrospectively analyzed the clinical and imaging characteristics, as well as the treatment outcomes of 57 patients diagnosed with lipoma.
View Article and Find Full Text PDFJ Craniofac Surg
October 2024
Division of Oral, Facial y Maxillofacial Surgery, Faculty of Dentistry, Universidad de La Frontera.
Background: Artificial intelligence (AI) has been a contribution in recent years to the development of new tools for dental, surgical, and esthetic treatment. In the case of image diagnosis, AI allows automated analysis of some facial parameters. The aim of this study was to evaluate the precision and reproducibility of these IA analyses compared with a human operator.
View Article and Find Full Text PDFClin Nucl Med
December 2024
From the Department of Nuclear Medicine, Weifang Traditional Chinese Medicine Hospital, Shandong Second Medical University. Weifang City.
A 66-year-old woman presented with 9 days of left clavicle pain, with no history of recent trauma. CT images showed a left clavicle fracture with a surrounding soft tissue mass. An 18F-FDG PET/CT scan revealed increased FDG uptake in the tonsils, multiple lymph nodes, and the pathologically fractured clavicle, initially suggesting malignancy.
View Article and Find Full Text PDFClin Nucl Med
December 2024
From the Department of Nuclear Medicine, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, Guangzhou, Guangdong, China.
A 53-year-old woman was found to have a soft tissue mass in the right lower lung lobe on chest CT, raising suspicion of lung cancer. For staging, 18F-FDG PET/CT was performed, which demonstrated intense tracer uptake in the mass (SUVmax, 14.6).
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