Estimation of effective doses to adult and pediatric patients from multislice computed tomography: A method based on energy imparted.
The purpose of this study is to provide a method and required data for the estimation of effective dose (E) values to adult and pediatric patients from computed tomography (CT) scans of the head, chest abdomen, and pelvis, performed on multi-slice scanners. Mean section radiation dose (dm) to cylindrical water phantoms of varying radius normalized over CT dose index free-in-air (CTDIF) were calculated for the head and body scanning modes of a multislice scanner with use of Monte Carlo techniques. Patients were modeled as equivalent water phantoms and the energy imparted (epsilon) to simulated pediatric and adult patients was calculated on the basis of measured CTDI(F) values. Body region specific energy imparted to effective dose conversion coefficients (E/epsilon) for adult male and female patients were generated from previous data. Effective doses to patients aged newborn to adult were derived for all available helical and axial beam collimations, taking into account age specific patient mass and scanning length. Depending on high voltage, body region, and patient sex, E/epsilon values ranged from 0.008 mSv/mJ for head scans to 0.024 mSv/mJ for chest scans. When scanned with the same technique factors as the adults, pediatric patients absorb as little as 5% of the energy imparted to adults, but corresponding effective dose values are up to a factor of 1.6 higher. On average, pediatric patients absorb 44% less energy per examination but have a 24% higher effective dose, compared with adults. In clinical practice, effective dose values to pediatric patients are 2.5 to 10 times lower than in adults due to the adaptation of tube current. A method is provided for the calculation of effective dose to adult and pediatric patients on the basis of individual patient characteristics such as sex, mass, dimensions, and density of imaged anatomy, and the technical features of modern multislice scanners. It allows the optimum selection of scanning parameters regarding patient doses at CT.
Theocharopoulos
Nicholas
N
Department of Medical Physics and Radiology Faculty of Medicine, University of Crete, PO. Box 2208, Iraklion 71003, Crete, Greece.
Damilakis
John
J
Perisinakis
Kostas
K
Tzedakis
Antonis
A
Karantanas
Apostolos
A
Gourtsoyiannis
Nicholas
N
D000328:Adult; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D007231:Infant, Newborn; D008297:Male; D009010:Monte Carlo Method; D019047:Phantoms, Imaging; D011829:Radiation Dosage; D011856:Radiographic Image Enhancement; D011874:Radiometry; D013997:Time Factors; D015898:Tomography Scanners, X-Ray Computed; D014057:Tomography, X-Ray Computed / Q000379:methods*; D014867:Water
D014867:Water