Organ doses, effective doses, and risk indices in adult CT: comparison of four types of reference phantoms across different examination protocols.

PURPOSE Radiation exposure from computed tomography (CT) to the public has increased the concern among radiation protection professionals. Being able to accurately assess the radiation dose patients receive during CT procedures is a crucial step in the management of CT dose. Currently, various computational anthropomorphic phantoms are used to assess radiation dose by different research groups. It is desirable to better understand how the dose results are affected by different choices of phantoms. In this study, the authors assessed the uncertainties in CT dose and risk estimation associated with different types of computational phantoms for a selected group of representative CT protocols. METHODS Routinely used CT examinations were categorized into ten body and three neurological examination categories. Organ doses, effective doses, risk indices, and conversion coefficients to effective dose and risk index (k and q factors, respectively) were estimated for these examinations for a clinical CT system (LightSpeed VCT, GE Healthcare). Four methods were used, each employing a different type of reference phantoms. The first and second methods employed a Monte Carlo program previously developed and validated in our laboratory. In the first method, the reference male and female extended cardiac-torso (XCAT) phantoms were used, which were initially created from the Visible Human data and later adjusted to match organ masses defined in ICRP publication 89. In the second method, the reference male and female phantoms described in ICRP publication 110 were used, which were initially developed from tomographic data of two patients and later modified to match ICRP 89 organ masses. The third method employed a commercial dosimetry spreadsheet (ImPACT group, London, England) with its own hermaphrodite stylized phantom. In the fourth method, another widely used dosimetry spreadsheet (CT-Expo, Medizinische Hochschule, Hannover, Germany) was employed together with its associated male and female stylized phantoms. RESULTS For fully irradiated organs, average coefficients of variation (COV) ranged from 0.07 to 0.22 across the four male phantoms and from 0.06 to 0.18 across the four female phantoms; for partially irradiated organs, average COV ranged from 0.13 to 0.30 across the four male phantoms and from 0.15 to 0.30 across the four female phantoms. Doses to the testes, breasts, and esophagus showed large variations between phantoms. COV for gender-averaged effective dose and k factor ranged from 0.03 to 0.23 and from 0.06 to 0.30, respectively. COV for male risk index and q factor ranged from 0.06 to 0.30 and from 0.05 to 0.36, respectively; COV for female risk index and q factor ranged from 0.06 to 0.49 and from 0.07 to 0.54, respectively. CONCLUSIONS Despite closely matched organ mass, total body weight, and height, large differences in organ dose exist due to variation in organ location, spatial distribution, and dose approximation method. Dose differences for fully irradiated radiosensitive organs were much smaller than those for partially irradiated organs. Weighted dosimetry quantities including effective dose, male risk indices, k factors, and male q factors agreed well across phantoms. The female risk indices and q factors varied considerably across phantoms.

[1]  Cynthia H McCollough,et al.  Estimating effective dose for CT using dose-length product compared with using organ doses: consequences of adopting International Commission on Radiological Protection publication 103 or dual-energy scanning. , 2010, AJR. American journal of roentgenology.

[2]  K. F. Eckerman,et al.  Specific absorbed fractions of energy at various ages from internal photon sources: 6, Newborn , 1987 .

[3]  D R Dance,et al.  CT dosimetry: getting the best from the adult Cristy phantom. , 2005, Radiation protection dosimetry.

[4]  Cynthia H McCollough,et al.  The feasibility of a scanner-independent technique to estimate organ dose from MDCT scans: using CTDIvol to account for differences between scanners. , 2010, Medical physics.

[5]  B. Wall,et al.  Doses to patients from routine diagnostic X-ray examinations in England. , 1986, The British journal of radiology.

[6]  Wesley E Bolch,et al.  Organ and effective doses in pediatric patients undergoing helical multislice computed tomography examination. , 2007, Medical physics.

[7]  L. Tanoue Computed Tomography — An Increasing Source of Radiation Exposure , 2009 .

[8]  C J Martin,et al.  Effective dose: how should it be applied to medical exposures? , 2007, The British journal of radiology.

[9]  James A. Scott Photon, Electron, Proton and Neutron Interaction Data for Body Tissues ICRU Report 46. International Commission on Radiation Units and Measurements, Bethesda, 1992, $40.00 , 1993 .

[10]  B. Wall,et al.  Organ Doses from Medical X-Ray Examinations Calculated Using Monte Carlo Techniques , 1985 .

[11]  W Abmayr,et al.  The calculations of dose from external photon exposures using reference and realistic human phantoms and Monte Carlo methods , 1986 .

[12]  W. Segars,et al.  4D XCAT phantom for multimodality imaging research. , 2010, Medical physics.

[13]  M Caon,et al.  An EGS4-ready tomographic computational model of a 14-year-old female torso for calculating organ doses from CT examinations. , 1999, Physics in medicine and biology.

[14]  W. Paul Segars,et al.  The feasibility of universal DLP-to-risk conversion coefficients for body CT protocols , 2011, Medical Imaging.

[15]  N Shandala,et al.  Scope of radiological protection control measures. , 2007, Annals of the ICRP.

[16]  J. W. Vieira,et al.  Comparison between effective doses for voxel-based and stylized exposure models from photon and electron irradiation , 2005, Physics in medicine and biology.

[17]  B Bednarz,et al.  The development, validation and application of a multi-detector CT (MDCT) scanner model for assessing organ doses to the pregnant patient and the fetus using Monte Carlo simulations , 2009, Physics in medicine and biology.

[18]  Ehsan Samei,et al.  Patient-specific radiation dose and cancer risk for pediatric chest CT. , 2011, Radiology.

[19]  R. Sievert,et al.  Book Reviews : Recommendations of the International Commission on Radiological Protection (as amended 1959 and revised 1962). I.C.R.P. Publication 6. 70 pp. PERGAMON PRESS. Oxford, London and New York, 1964. £1 5s. 0d. [TB/54] , 1964 .

[20]  D. G. Jones,et al.  Normalised Organ Doses for X Ray Computed Tomography Calculated Using Monte Carlo Techniques and a Mathematical Anthropomorphic Phantom , 1993 .

[21]  W. Paul Segars,et al.  Patient-specific radiation dose and cancer risk estimation in CT: part II. Application to patients. , 2010, Medical physics.

[22]  Rebecca S Lewis,et al.  Projected cancer risks from computed tomographic scans performed in the United States in 2007. , 2009, Archives of internal medicine.

[23]  Peter F Caracappa,et al.  Comparison of two types of adult phantoms in terms of organ doses from diagnostic CT procedures , 2010, Physics in medicine and biology.

[24]  Daniel Lodwick,et al.  The UF family of reference hybrid phantoms for computational radiation dosimetry , 2010, Physics in medicine and biology.

[25]  P C Shrimpton,et al.  Influence of patient age on normalized effective doses calculated for CT examinations. , 2002, The British journal of radiology.

[26]  Martin Caon,et al.  Voxel-based computational models of real human anatomy: a review , 2004, Radiation and Environmental Biophysics.

[27]  Wesley E Bolch,et al.  Age-dependent organ and effective dose coefficients for external photons: a comparison of stylized and voxel-based paediatric phantoms , 2006, Physics in medicine and biology.

[28]  Chengyu Shi,et al.  A boundary-representation method for designing whole-body radiation dosimetry models: pregnant females at the ends of three gestational periods—RPI-P3, -P6 and -P9 , 2007, Physics in medicine and biology.

[29]  W. Huda,et al.  CT effective dose per dose length product using ICRP 103 weighting factors. , 2011, Medical physics.

[30]  Cynthia H McCollough,et al.  Monte Carlo simulations to assess the effects of tube current modulation on breast dose for multidetector CT , 2009, Physics in medicine and biology.

[31]  J. Sempau,et al.  Experimental benchmarks of the Monte Carlo code penelope , 2003 .

[32]  J. Baró,et al.  PENELOPE: An algorithm for Monte Carlo simulation of the penetration and energy loss of electrons and positrons in matter , 1995 .

[33]  W. Kalender,et al.  Multisection CT protocols: sex- and age-specific conversion factors used to determine effective dose from dose-length product. , 2010, Radiology.

[34]  D J Brenner,et al.  Effective dose: a flawed concept that could and should be replaced. , 2008, The British journal of radiology.

[35]  J J DeMarco,et al.  Estimating radiation doses from multidetector CT using Monte Carlo simulations: effects of different size voxelized patient models on magnitudes of organ and effective dose , 2007, Physics in medicine and biology.

[36]  Steven L Simon,et al.  Organ doses for reference adult male and female undergoing computed tomography estimated by Monte Carlo simulations. , 2011, Medical physics.

[37]  Colin J. Martin,et al.  The application of effective dose to medical exposures. , 2007, Radiation protection dosimetry.

[38]  Rebecca S Lewis,et al.  Projected cancer risks from computed tomographic scans performed in the United States in 2007. , 2009, Archives of internal medicine.

[39]  Wesley E Bolch,et al.  An assessment of bone marrow and bone endosteum dosimetry methods for photon sources , 2006, Physics in medicine and biology.

[40]  Willi A. Kalender,et al.  Validation of a Monte Carlo tool for patient-specific dose simulations in multi-slice computed tomography , 2008, European Radiology.

[41]  Paul DeLuca,et al.  Realistic reference phantoms: An ICRP/ICRU joint effort , 2009, Annals of the ICRP.

[42]  Ehsan Samei,et al.  Patient-specific radiation dose and cancer risk estimation in CT: part I. development and validation of a Monte Carlo program. , 2010, Medical physics.

[43]  Michael J Pentecost,et al.  American College of Radiology white paper on radiation dose in medicine. , 2007, Journal of the American College of Radiology : JACR.