Purpose To determine the relationship of increasing body mass index (BMI) and abdominal fat on the effective dose acquired from computed tomography (CT) abdomen and pelvis scans. Methods Over 6 months, dose-length product and total milliamp-seconds (mAs) from routine CT abdomen and pelvis scans of 100 patients were recorded. The scans were performed on a 64-slice CT scanner by using an automatic exposure control system. Effective dose (mSv) based on dose-length product, BMI, periumbilical fat thickness, and intra-abdominal fat were documented for each patient. BMI, periumbilical fat thickness, and intra-abdominal fat were compared with effective dose. Results Thirty-nine men and 61 women were included in the study (mean age, 56.3 years). The mean BMI was 26.2 kg/m2. The mean effective dose was 10.3 mSv. The mean periumbilical fat thickness was 2.4 cm. Sixty-five patients had a small amount of intra-abdominal fat, and 35 had a large amount of intra-abdominal fat. The effective dose increased with increasing BMI (P < .001) and increasing amounts of intra-abdominal fat (P < .001). For every kilogram of weight, there is a 0.13 mSv increase in effective dose, which is equal to 6.5 chest radiographs per CT examination. For an increase in BMI by 5 kg/m2, there is a 1.95 mSv increase in effective dose, which is equal to 97.5 chest radiographs per CT examination. Conclusion Increasing BMI and abdominal fat significantly increases the effective dose received from CT abdomen and pelvis scans.
The Relationship of Body Mass Index and Abdominal Fat on the Radiation Dose Received during Routine Computed Tomographic Imaging of the Abdomen and Pelvis
V. O. Chan,S. McDermott,O. Buckley,Sonya Allen,M. Casey,R. O’laoide,W. Torreggiani
Published 2012 in Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
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- Publication year
2012
- Venue
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
- Publication date
2012-11-01
- Fields of study
Medicine
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- Source metadata
Semantic Scholar, PubMed
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