Literature DB >> 24007152

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.

Di Zhang1, Chris H Cagnon, J Pablo Villablanca, Cynthia H McCollough, Dianna D Cody, Maria Zankl, John J Demarco, Michael F McNitt-Gray.   

Abstract

PURPOSE: CT neuroperfusion examinations are capable of delivering high radiation dose to the skin or lens of the eyes of a patient and can possibly cause deterministic radiation injury. The purpose of this study is to: (a) estimate peak skin dose and eye lens dose from CT neuroperfusion examinations based on several voxelized adult patient models of different head size and (b) investigate how well those doses can be approximated by some commonly used CT dose metrics or tools, such as CTDIvol, American Association of Physicists in Medicine (AAPM) Report No. 111 style peak dose measurements, and the ImPACT organ dose calculator spreadsheet.
METHODS: Monte Carlo simulation methods were used to estimate peak skin and eye lens dose on voxelized patient models, including GSF's Irene, Frank, Donna, and Golem, on four scanners from the major manufacturers at the widest collimation under all available tube potentials. Doses were reported on a per 100 mAs basis. CTDIvol measurements for a 16 cm CTDI phantom, AAPM Report No. 111 style peak dose measurements, and ImPACT calculations were performed for available scanners at all tube potentials. These were then compared with results from Monte Carlo simulations.
RESULTS: The dose variations across the different voxelized patient models were small. Dependent on the tube potential and scanner and patient model, CTDIvol values overestimated peak skin dose by 26%-65%, and overestimated eye lens dose by 33%-106%, when compared to Monte Carlo simulations. AAPM Report No. 111 style measurements were much closer to peak skin estimates ranging from a 14% underestimate to a 33% overestimate, and with eye lens dose estimates ranging from a 9% underestimate to a 66% overestimate. The ImPACT spreadsheet overestimated eye lens dose by 2%-82% relative to voxelized model simulations.
CONCLUSIONS: CTDIvol consistently overestimates dose to eye lens and skin. The ImPACT tool also overestimated dose to eye lenses. As such they are still useful as a conservative predictor of dose for CT neuroperfusion studies. AAPM Report No. 111 style measurements are a better predictor of both peak skin and eye lens dose than CTDIvol and ImPACT for the patient models used in this study. It should be remembered that both the AAPM Report No. 111 peak dose metric and CTDIvol dose metric are dose indices and were not intended to represent actual organ doses.

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Year:  2013        PMID: 24007152      PMCID: PMC3965341          DOI: 10.1118/1.4816652

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


  21 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

Review 2.  CT dosimetry: comparison of measurement techniques and devices.

Authors:  John A Bauhs; Thomas J Vrieze; Andrew N Primak; Michael R Bruesewitz; Cynthia H McCollough
Journal:  Radiographics       Date:  2008 Jan-Feb       Impact factor: 5.333

3.  New recommendations for occupational radiation protection.

Authors:  Donald L Miller; Beth A Schueler; Stephen Balter
Journal:  J Am Coll Radiol       Date:  2012-05       Impact factor: 5.532

4.  On the use of Monte Carlo-derived dosimetric data in the estimation of patient dose from CT examinations.

Authors:  Kostas Perisinakis; Antonis Tzedakis; John Damilakis
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

5.  A method to generate equivalent energy spectra and filtration models based on measurement for multidetector CT Monte Carlo dosimetry simulations.

Authors:  Adam C Turner; Di Zhang; Hyun J Kim; John J DeMarco; Chris H Cagnon; Erin Angel; Dianna D Cody; Donna M Stevens; Andrew N Primak; Cynthia H McCollough; Michael F McNitt-Gray
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

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.  Comment on the "report of AAPM TG 204: size-specific dose estimates (SSDE) in pediatric and adult body CT examinations" [report of AAPM TG 204, 2011].

Authors:  Baojun Li; Richard H Behrman
Journal:  Med Phys       Date:  2012-07       Impact factor: 4.071

8.  Radiation dose to the fetus for pregnant patients undergoing multidetector CT imaging: Monte Carlo simulations estimating fetal dose for a range of gestational age and patient size.

Authors:  Erin Angel; Clinton V Wellnitz; Mitchell M Goodsitt; Nazanin Yaghmai; John J DeMarco; Christopher H Cagnon; James W Sayre; Dianna D Cody; Donna M Stevens; Andrew N Primak; Cynthia H McCollough; Michael F McNitt-Gray
Journal:  Radiology       Date:  2008-10       Impact factor: 11.105

9.  Organ and effective doses in pediatric patients undergoing helical multislice computed tomography examination.

Authors:  Choonik Lee; Choonsik Lee; Robert J Staton; David E Hintenlang; Manuel M Arreola; Jonathon L Williams; Wesley E Bolch
Journal:  Med Phys       Date:  2007-05       Impact factor: 4.071

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

Authors:  Erin Angel; 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
Journal:  Phys Med Biol       Date:  2009-01-06       Impact factor: 3.609

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  2 in total

1.  Radiation protection in radiological imaging: a survey of imaging modalities used in Japanese institutions for verifying applicator placements in high-dose-rate brachytherapy.

Authors:  Hiroyuki Okamoto; Satoshi Kito; Naoki Tohyama; Shunsuke Yonai; Ryu Kawamorita; Masaru Nakamura; Takahiro Fujimoto; Syoji Tani; Akihiro Yomoda; Toru Isobe; Hiroshi Furukawa; Kikuo Kotaka; Jun Itami; Hitoshi Ikushima; Takushi Dokiya; Yoshiyuki Shioyama
Journal:  J Radiat Res       Date:  2021-01-01       Impact factor: 2.724

2.  Measured Head CT/CTA Skin Dose and Intensive Care Unit Patient Cumulative Exposure.

Authors:  R D Nawfel; G S Young
Journal:  AJNR Am J Neuroradiol       Date:  2017-01-19       Impact factor: 3.825

  2 in total

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