Literature DB >> 19124953

Monte Carlo simulations to assess the effects of tube current modulation on breast dose for multidetector CT.

Erin Angel1, Nazanin Yaghmai, Cecilia Matilda Jude, John J Demarco, Christopher H Cagnon, Jonathan G Goldin, Andrew N Primak, Donna M Stevens, Dianna D Cody, Cynthia H McCollough, Michael F McNitt-Gray.   

Abstract

Tube current modulation was designed to reduce radiation dose in CT imaging while maintaining overall image quality. This study aims to develop a method for evaluating the effects of tube current modulation (TCM) on organ dose in CT exams of actual patient anatomy. This method was validated by simulating a TCM and a fixed tube current chest CT exam on 30 voxelized patient models and estimating the radiation dose to each patient's glandular breast tissue. This new method for estimating organ dose was compared with other conventional estimates of dose reduction. Thirty detailed voxelized models of patient anatomy were created based on image data from female patients who had previously undergone clinically indicated CT scans including the chest area. As an indicator of patient size, the perimeter of the patient was measured on the image containing at least one nipple using a semi-automated technique. The breasts were contoured on each image set by a radiologist and glandular tissue was semi-automatically segmented from this region. Previously validated Monte Carlo models of two multidetector CT scanners were used, taking into account details about the source spectra, filtration, collimation and geometry of the scanner. TCM data were obtained from each patient's clinical scan and factored into the model to simulate the effects of TCM. For each patient model, two exams were simulated: a fixed tube current chest CT and a tube current modulated chest CT. X-ray photons were transported through the anatomy of the voxelized patient models, and radiation dose was tallied in the glandular breast tissue. The resulting doses from the tube current modulated simulations were compared to the results obtained from simulations performed using a fixed mA value. The average radiation dose to the glandular breast tissue from a fixed tube current scan across all patient models was 19 mGy. The average reduction in breast dose using the tube current modulated scan was 17%. Results were size dependent with smaller patients getting better dose reduction (up to 64% reduction) and larger patients getting a smaller reduction, and in some cases the dose actually increased when using tube current modulation (up to 41% increase). The results indicate that radiation dose to glandular breast tissue generally decreases with the use of tube current modulated CT acquisition, but that patient size (and in some cases patient positioning) may affect dose reduction.

Entities:  

Mesh:

Year:  2009        PMID: 19124953      PMCID: PMC2948848          DOI: 10.1088/0031-9155/54/3/003

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  28 in total

1.  Dose reduction in CT by anatomically adapted tube current modulation. I. Simulation studies.

Authors:  M Gies; W A Kalender; H Wolf; C Suess
Journal:  Med Phys       Date:  1999-11       Impact factor: 4.071

2.  Radiation dose to the female breast from 16-MDCT body protocols.

Authors:  Lynne M Hurwitz; Terry T Yoshizumi; Robert E Reiman; Erik K Paulson; Donald P Frush; Giao T Nguyen; Greta I Toncheva; Philip C Goodman
Journal:  AJR Am J Roentgenol       Date:  2006-06       Impact factor: 3.959

Review 3.  Computed tomography--an increasing source of radiation exposure.

Authors:  David J Brenner; Eric J Hall
Journal:  N Engl J Med       Date:  2007-11-29       Impact factor: 91.245

4.  The 2007 Recommendations of the International Commission on Radiological Protection. ICRP publication 103.

Authors: 
Journal:  Ann ICRP       Date:  2007

5.  Dose reduction in CT by anatomically adapted tube current modulation. II. Phantom measurements.

Authors:  W A Kalender; H Wolf; C Suess
Journal:  Med Phys       Date:  1999-11       Impact factor: 4.071

6.  Automatic patient centering for MDCT: effect on radiation dose.

Authors:  Jianhai Li; Unni K Udayasankar; Thomas L Toth; John Seamans; William C Small; Mannudeep K Kalra
Journal:  AJR Am J Roentgenol       Date:  2007-02       Impact factor: 3.959

7.  Dose reduction in computed tomography by attenuation-based on-line modulation of tube current: evaluation of six anatomical regions.

Authors:  H Greess; H Wolf; U Baum; M Lell; M Pirkl; W Kalender; W A Bautz
Journal:  Eur Radiol       Date:  2000       Impact factor: 5.315

8.  Solid cancer incidence in atomic bomb survivors: 1958-1998.

Authors:  D L Preston; E Ron; S Tokuoka; S Funamoto; N Nishi; M Soda; K Mabuchi; K Kodama
Journal:  Radiat Res       Date:  2007-07       Impact factor: 2.841

9.  Reduction of dose to the female breast in thoracic CT: a comparison of standard-protocol, bismuth-shielded, partial and tube-current-modulated CT examinations.

Authors:  Sabrina V Vollmar; Willi A Kalender
Journal:  Eur Radiol       Date:  2008-04-15       Impact factor: 5.315

10.  Effective dose: how should it be applied to medical exposures?

Authors:  C J Martin
Journal:  Br J Radiol       Date:  2007-07-23       Impact factor: 3.039

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  33 in total

1.  The feasibility of a scanner-independent technique to estimate organ dose from MDCT scans: using CTDIvol to account for differences between scanners.

Authors:  Adam C Turner; Maria Zankl; John J DeMarco; Chris H Cagnon; Di Zhang; Erin Angel; Dianna D Cody; Donna M Stevens; Cynthia H McCollough; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2010-04       Impact factor: 4.071

2.  Estimating peak skin and eye lens dose from neuroperfusion examinations: use of Monte Carlo based simulations and comparisons to CTDIvol, AAPM Report No. 111, and ImPACT dosimetry tool values.

Authors:  Di Zhang; Chris H Cagnon; J Pablo Villablanca; Cynthia H McCollough; Dianna D Cody; Maria Zankl; John J Demarco; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2013-09       Impact factor: 4.071

3.  A comparison of methods to estimate organ doses in CT when utilizing approximations to the tube current modulation function.

Authors:  Maryam Khatonabadi; Di Zhang; Kelsey Mathieu; Hyun J Kim; Peiyun Lu; Dianna Cody; John J Demarco; Chris H Cagnon; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2012-08       Impact factor: 4.071

Review 4.  State of the art: technologies for computed tomography dose reduction.

Authors:  Martin L D Gunn; Jennifer R Kohr
Journal:  Emerg Radiol       Date:  2009-11-20

5.  The impact on CT dose of the variability in tube current modulation technology: a theoretical investigation.

Authors:  Xiang Li; W Paul Segars; Ehsan Samei
Journal:  Phys Med Biol       Date:  2014-07-28       Impact factor: 3.609

6.  CT dose index and patient dose: they are not the same thing.

Authors:  Cynthia H McCollough; Shuai Leng; Lifeng Yu; Dianna D Cody; John M Boone; Michael F McNitt-Gray
Journal:  Radiology       Date:  2011-05       Impact factor: 11.105

7.  Organ doses for reference adult male and female undergoing computed tomography estimated by Monte Carlo simulations.

Authors:  Choonsik Lee; Kwang Pyo Kim; Daniel Long; Ryan Fisher; Chris Tien; Steven L Simon; Andre Bouville; Wesley E Bolch
Journal:  Med Phys       Date:  2011-03       Impact factor: 4.071

8.  Effective dose and organ doses estimation taking tube current modulation into account with a commercial software package.

Authors:  X Lopez-Rendon; H Bosmans; R Oyen; F Zanca
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

9.  Accuracy of patient-specific organ dose estimates obtained using an automated image segmentation algorithm.

Authors:  Taly Gilat Schmidt; Adam S Wang; Thomas Coradi; Benjamin Haas; Josh Star-Lack
Journal:  J Med Imaging (Bellingham)       Date:  2016-11-29

10.  Fetal doses to pregnant patients from CT with tube current modulation calculated using Monte Carlo simulations and realistic phantoms.

Authors:  Jianwei Gu; X George Xu; Peter F Caracappa; Bob Liu
Journal:  Radiat Prot Dosimetry       Date:  2012-12-06       Impact factor: 0.972

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