Radiation Dose Assessment in PET ICT Imaging: A Comparative Analysis of CT-Expo and VirtualDose™CT Software's Across Diverse Body Mass Indexes in Oncologic Patients
The research emphasizes the need of measuring PET/CT radiation exposure across body mass indexes to account for body composition's effect on radiation absorption for accurate diagnosis and patient safety. This is done using CT-Expo and VirtualDose™CT software's with various modeling method...
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Published in: | 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI) pp. 1 - 7 |
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Main Authors: | , , , , , |
Format: | Conference Proceeding |
Language: | English |
Published: |
IEEE
27-12-2023
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Subjects: | |
Online Access: | Get full text |
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Summary: | The research emphasizes the need of measuring PET/CT radiation exposure across body mass indexes to account for body composition's effect on radiation absorption for accurate diagnosis and patient safety. This is done using CT-Expo and VirtualDose™CT software's with various modeling methodologies. The research used both software tools to assess radiation dosage and organ-at-risk in 128 18F - FDG injection patients. The effective dosage 60 difference between the two software systems is 16.2% for Un-derweight, 0.0001% for Healthy Weight, 0.09% for Overweight, and 0.012% for Obesity. Effective dose 103 is 16.7% for Underweight, 0.1 % for Healthy Weight, 0.72% for Overweight, and 0.01 % for Obesity. Healthy Weight group, where effective dose 60 and 103 differed significantly (p-values 0.01 and 0.002). The effective dose difference between obese and underweight, healthy weight, and Overweight patients was 21.11 % , 10.01, and 5.36%, respectively. In conclusion, CT-Expo consistently gave lower dose estimates than VirtualDose™CT software due to its capacity to account for complicated patient-specific characteristics, tissue compositions, and X-ray attenuation. This research is relevant to the goals and interests of the European organisation for research and treatment of cancer in improving cancer treatment and patient care. |
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DOI: | 10.1109/EICEEAI60672.2023.10590492 |