A database of 40 patient-based computational models for benchmarking organ dose estimates in CT.
CT organ dose
Monte Carlo
benchmark
database
uncertainties
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Dec 2020
Dec 2020
Historique:
received:
23
12
2019
revised:
24
05
2020
accepted:
26
06
2020
pubmed:
7
7
2020
medline:
15
5
2021
entrez:
7
7
2020
Statut:
ppublish
Résumé
Patient radiation burden in computed tomography (CT) can best be characterized through risk estimates derived from organ doses. Organ doses can be estimated by Monte Carlo simulations of the CT procedures on computational phantoms assumed to emulate the patients. However, the results are subject to uncertainties related to how accurately the patient and CT procedure are modeled. Different methods can lead to different results. This paper, based on decades of organ dosimetry research, offers a database of CT scans, scan specifics, and organ doses computed using a validated Monte Carlo simulation of each patient and acquisition. It is aimed that the database can serve as means to benchmark different organ dose estimation methods against a benchmark dataset. Organ doses were estimated for 40 adult patients (22 male, 18 female) who underwent chest and abdominopelvic CT examinations. Patient-based computational models were created for each patient including 26 organs for female and 25 organs for male cases. A Monte Carlo code, previously validated experimentally, was applied to calculate organ doses under constant and two modulated tube current conditions. The generated database reports organ dose values for chest and abdominopelvic examinations per patient and imaging condition. Patient information and images and scan specifications (energy spectrum, bowtie filter specification, and tube current profiles) are provided. The database is available at publicly accessible digital repositories. Consistency in patient risk estimation, and associated justification and optimization requires accuracy and consistency in organ dose estimation. The database provided in this paper is a helpful tool to benchmark different organ dose estimation methodologies to facilitate comparisons, assess uncertainties, and improve risk assessment of CT scans based on organ dose.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
6562-6566Informations de copyright
© 2020 American Association of Physicists in Medicine.
Références
Turner AC, Zhang D, Khatonabadi M, et al. The feasibility of patient size-corrected, scanner-independent organ dose estimates for abdominal CT exams. Med Phys. 2011;38:820-829.
Geyer AM, O'Reilly S, Lee C, Long DJ, Bolch WE. The UF/NCI family of hybrid computational phantoms representing the current US population of male and female children, adolescents, and adults-application to CT dosimetry. Phys Med Biol. 2014;59:5225-5242.
Ding MM, Mille T, Liu PF, Caracappa XG. Xu, extension of RPI-adult male and female computational phantoms to obese patients and a Monte Carlo study of the effect on CT imaging dose. Phys Med Biol. 2012;57:2441-2459.
Schlattl H, Zankl M, Becker J, Hoeschen C. Dose conversion coefficients for CT examinations of adults with automatic tube current modulation. Phys Med Biol. 2010;55:6243-6261.
Tian X, Li X, Segars WP, Paulson EK, Frush DP, Samei E. Dose coefficients in pediatric and adult abdominopelvic CT based on 100 patient models. Phys Med Biol. 2013;58:8755-8768.
Li X, Samei E, Williams CH, et al. Effects of protocol and obesity on dose conversion factors in adult body CT. Med Phys. 2012;39:6550-6571.
Jansen JTM, Shrimpton PC. Development of Monte Carlo simulations to provide scanner-specific organ dose coefficients for contemporary CT. Phys Med Biol. 2016;61:5356.
Lee C, Kim KP, Long D, et al. Organ doses for reference adult male and female undergoing computed tomography estimated by Monte Carlo simulations. Med Phys. 2011;38:1196-1206.
Segars WP, Sturgeon G, Mendonca S, Grimes J, Tsui BMW. 4D XCAT phantom for multimodality imaging research. Med Phys. 2010;37:4902-4915.
Segars WP, Bond J, Frush J, et al. Population of anatomically variable 4D XCAT adult phantoms for imaging research and optimization. Med Phys. 2013;40:043701.
Tward DJ, Ceritoglu C, Kolasny A, et al. Patient specific dosimetry phantoms using multichannel LDDMM of the whole body. Int J Biomed Eng. 2011;2011:1-9.
ICRP. Basic anatomical and physiological data for use in radiological protection: reference values. ICRP Publication 89; 2002.
ICRP. The 2007 Recommendations of the International Commission on Radiological Protection, ICRP Publication 103, Ann. ICRP 37, 2-4; 2007.
Tian X, Segars WP, Dixon R, Samei E. Convolution-based estimation of organ dose in tube current modulated CT. Phys Med Biol. 2016;61:3935-3954.
Li X, Segars WP, Samei E. The impact on CT dose of the variability in tube current modulation technology: a theoretical investigation. Phys Med Biol. 2014;59:4525-4548.
Zhang Y, Li X, Segars WP, Samei E. Organ doses, effective doses, and risk indices in adult CT: comparison of four types of reference phantoms across different examination protocols. Med Phys. 2012;39:3404-3423.
Liu H, Gu J, Caracappa PF, Xu XG. Comparison of two types of adult phantoms in terms of organ doses from diagnostic CT procedures. Phys Med Biol. 2010;55:1441-1451.
Zhang D, Zankl M, DeMarco JJ, et al. Reducing radiation dose to selected organs by selecting the tube start angle in MDCT helical scans: a Monte Carlo based study. Med Phys. 2009;36:5654-5664.
Li X, Samei E, Segars WP, et al. Patient-specific radiation dose and cancer risk estimation in CT: part II. Application to patients. Med Phys. 2011;38:408-419.
Khatonabadi M, Kim HJ, Lu P, et al. The feasibility of a regional CTDIvol to estimate organ dose from tube current modulated CT exams. Med Phys. 2013;40:051903.
American Association of Physicists in Medicine. Monte Carlo Reference Data Sets for Imaging Research (Task Group 195). College Park, MD: American Association of Physicists in Medicine; 2011.
Sahbaee P, Segars WP, Marin D, Nelson RC, Samei E. The effect of contrast material on radiation dose at CT: part I. Incorporation of contrast materials dynamics in anthropomorphic phantoms. Radiology. 2017;283:739-748.
Sahbaee P, Abadi E, Segars WP, Marin D, Nelson RC, Samei E. The effect of contrast material on radiation dose at CT: part II. A systematic evaluation across 58 patient models. Radiology. 2017;283:749-757.
Tran H, Lee C, Derderian V, Folio L, Jones E. Estimating the Role of Iodinated IV Contrast Media in Organ Radiation Dose: Effects of Vascular Phase and Tube Voltage in Multiphase Body CT. in RSNA Annual Meeting 2014 Chicago, IL, Radiological Society of North America.
National Research Council, Health Risks from Exposure to Low Levels of Ionizing Radiation: BEIR VII Phase 2; 2006.