Literature DB >> 22894446

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

Maryam Khatonabadi1, Di Zhang, Kelsey Mathieu, Hyun J Kim, Peiyun Lu, Dianna Cody, John J Demarco, Chris H Cagnon, Michael F McNitt-Gray.   

Abstract

PURPOSE: Most methods to estimate patient dose from computed tomography (CT) exams have been developed based on fixed tube current scans. However, in current clinical practice, many CT exams are performed using tube current modulation (TCM). Detailed information about the TCM function is difficult to obtain and therefore not easily integrated into patient dose estimate methods. The purpose of this study was to investigate the accuracy of organ dose estimates obtained using methods that approximate the TCM function using more readily available data compared to estimates obtained using the detailed description of the TCM function.
METHODS: Twenty adult female models generated from actual patient thoracic CT exams and 20 pediatric female models generated from whole body PET∕CT exams were obtained with IRB (Institutional Review Board) approval. Detailed TCM function for each patient was obtained from projection data. Monte Carlo based models of each scanner and patient model were developed that incorporated the detailed TCM function for each patient model. Lungs and glandular breast tissue were identified in each patient model so that organ doses could be estimated from simulations. Three sets of simulations were performed: one using the original detailed TCM function (x, y, and z modulations), one using an approximation to the TCM function (only the z-axis or longitudinal modulation extracted from the image data), and the third was a fixed tube current simulation using a single tube current value which was equal to the average tube current over the entire exam. Differences from the reference (detailed TCM) method were calculated based on organ dose estimates. Pearson's correlation coefficients were calculated between methods after testing for normality. Equivalence test was performed to compare the equivalence limit between each method (longitudinal approximated TCM and fixed tube current method) and the detailed TCM method. Minimum equivalence limit was reported for each organ.
RESULTS: Doses estimated using the longitudinal approximated TCM resulted in small differences from doses obtained using the detailed TCM function. The calculated root-mean-square errors (RMSE) for adult female chest simulations were 9% and 3% for breasts and lungs, respectively; for pediatric female chest and whole body simulations RMSE were 9% and 7% for breasts and 3% and 1% for lungs, respectively. Pearson's correlation coefficients were consistently high for the longitudinal approximated TCM method, ranging from 0.947 to 0.999, compared to the fixed tube current value ranging from 0.8099 to 0.9916. In addition, an equivalence test illustrated that across all models the longitudinal approximated TCM is equivalent to the detailed TCM function within up to 3% for lungs and breasts.
CONCLUSIONS: While the best estimate of organ dose requires the detailed description of the TCM function for each patient, extracting these values can be difficult. The presented results show that an approximation using available data extracted from the DICOM header provides organ dose estimates with RMSE of less than 10%. On the other hand, the use of the overall average tube current as a single tube current value was shown to result in poor and inconsistent estimates of organ doses.

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Year:  2012        PMID: 22894446      PMCID: PMC3422360          DOI: 10.1118/1.4736807

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  26 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.  X-ray tube current modulation and patient doses in chest CT.

Authors:  Wenjun He; Walter Huda; Dennise Magill; Emily Tavrides; Hai Yao
Journal:  Radiat Prot Dosimetry       Date:  2010-11-09       Impact factor: 0.972

3.  A method for calculating the dose length product from CT DICOM images.

Authors:  I A Tsalafoutas; S I Metallidis
Journal:  Br J Radiol       Date:  2010-11-16       Impact factor: 3.039

4.  Patient size and radiation exposure in thoracic, pelvic, and abdominal CT examinations performed with automatic exposure control.

Authors:  Gary M Israel; Lawrence Cicchiello; James Brink; Walter Huda
Journal:  AJR Am J Roentgenol       Date:  2010-12       Impact factor: 3.959

5.  A Monte Carlo-based method to estimate radiation dose from spiral CT: from phantom testing to patient-specific models.

Authors:  G Jarry; J J DeMarco; U Beifuss; C H Cagnon; M F McNitt-Gray
Journal:  Phys Med Biol       Date:  2003-08-21       Impact factor: 3.609

6.  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

7.  Tracking radiation exposure from diagnostic imaging devices at the NIH.

Authors:  Ronald D Neumann; David A Bluemke
Journal:  J Am Coll Radiol       Date:  2010       Impact factor: 5.532

8.  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

9.  Organ doses to adult patients for chest CT.

Authors:  Walter Huda; Alexander Sterzik; Sameer Tipnis; U Joseph Schoepf
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

10.  Patient exposure tracking: the IAEA smart card project.

Authors:  Madan M Rehani; Donald P Frush
Journal:  Radiat Prot Dosimetry       Date:  2011-07-20       Impact factor: 0.972

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  15 in total

1.  Image quality and dose optimisation for infant CT using a paediatric phantom.

Authors:  Jack W Lambert; Andrew S Phelps; Jesse L Courtier; Robert G Gould; John D MacKenzie
Journal:  Eur Radiol       Date:  2015-08-26       Impact factor: 5.315

2.  Reduction in radiation doses from paediatric CT scans in Great Britain.

Authors:  Choonsik Lee; Mark S Pearce; Jane A Salotti; Richard W Harbron; Mark P Little; Kieran McHugh; Claire-Louise Chapple; Amy Berrington de Gonzalez
Journal:  Br J Radiol       Date:  2016-02-11       Impact factor: 3.039

3.  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

4.  Use of PET/CT instead of CT-only when planning for radiation therapy does not notably increase life years lost in children being treated for cancer.

Authors:  Josefine S Kornerup; Patrik Brodin; Charlotte Birk Christensen; Thomas Björk-Eriksson; Anne Kiil-Berthelsen; Lise Borgwardt; Per Munck Af Rosenschöld
Journal:  Pediatr Radiol       Date:  2014-11-07

5.  Prospective estimation of organ dose in CT under tube current modulation.

Authors:  Xiaoyu Tian; Xiang Li; W Paul Segars; Donald P Frush; Ehsan Samei
Journal:  Med Phys       Date:  2015-04       Impact factor: 4.071

6.  Breast dose reduction with organ-based, wide-angle tube current modulated CT.

Authors:  Wanyi Fu; Gregory M Sturgeon; Greeshma Agasthya; William Paul Segars; Anuj J Kapadia; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2017-08-04

7.  Do we need 3D tube current modulation information for accurate organ dosimetry in chest CT? Protocols dose comparisons.

Authors:  Xochitl Lopez-Rendon; Guozhi Zhang; Walter Coudyzer; Wim Develter; Hilde Bosmans; Federica Zanca
Journal:  Eur Radiol       Date:  2017-05-19       Impact factor: 5.315

8.  Estimating fetal dose from tube current-modulated (TCM) and fixed tube current (FTC) abdominal/pelvis CT examinations.

Authors:  Anthony J Hardy; Erin Angel; Maryam Bostani; Chris Cagnon; Michael McNitt-Gray
Journal:  Med Phys       Date:  2019-04-24       Impact factor: 4.071

9.  Estimating patient dose from CT exams that use automatic exposure control: Development and validation of methods to accurately estimate tube current values.

Authors:  Kyle McMillan; Maryam Bostani; Christopher H Cagnon; Lifeng Yu; Shuai Leng; Cynthia H McCollough; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2017-06-30       Impact factor: 4.071

10.  Estimating lung, breast, and effective dose from low-dose lung cancer screening CT exams with tube current modulation across a range of patient sizes.

Authors:  Anthony J Hardy; Maryam Bostani; Kyle McMillan; Maria Zankl; Cynthia McCollough; Chris Cagnon; Michael McNitt-Gray
Journal:  Med Phys       Date:  2018-09-24       Impact factor: 4.071

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