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Evaluation of Effective Dose from CT Scans for Overweight and Obese Adult Patients Using the VirtualDose Software
Author(s) -
Baohui Liang,
Yiming Gao,
Zhi Chen,
Xintao Xu
Publication year - 2016
Publication title -
radiation protection dosimetry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.392
H-Index - 72
eISSN - 1742-3406
pISSN - 0144-8420
DOI - 10.1093/rpd/ncw119
Subject(s) - overweight , medicine , pelvis , abdomen , nuclear medicine , body mass index , effective dose (radiation) , radiology
This paper evaluates effective dose (ED) of overweight and obese patients who undergo body computed tomography (CT) examinations. ED calculations were based on tissue weight factors in the International Commission on Radiological Protection Publication 103 (ICRP 103). ED per unit dose length product (DLP) are reported as a function of the tube voltage, body mass index (BMI) of patient. The VirtualDose software was used to calculate ED for male and female obese phantoms representing normal weight, overweight, obese 1, obese 2 and obese 3 patients. Five anatomic regions (chest, abdomen, pelvis, abdomen/pelvis and chest/abdomen/pelvis) were investigated for each phantom. The conversion factors were computed from the DLP, and then compared with data previously reported by other groups. It was observed that tube voltage and BMI are the major factors that influence conversion factors of obese patients, and that ED computed using ICRP 103 tissue weight factors were 24% higher for a CT chest examination and 21% lower for a CT pelvis examination than the ED using ICRP 60 factors. For body CT scans, increasing the tube voltage from 80 to 140 kVp would increase the conversion factors by as much as 19-54% depending on the patient's BMI. Conversion factor of female patients was ~7% higher than the factors of male patients. DLP and conversion factors were used to estimate ED, where conversion factors depended on tube voltage, sex, BMI and tissue weight factors. With increasing number of obese individuals, using size-dependence conversion factors will improve accuracy, in estimating patient radiation dose.

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