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CT breast dose reduction with the use of breast positioning and organ-based tube current modulation.

Publication ,  Journal Article
Fu, W; Tian, X; Sturgeon, GM; Agasthya, G; Segars, WP; Goodsitt, MM; Kazerooni, EA; Samei, E
Published in: Med Phys
February 2017

PURPOSE: This study aimed to investigate the breast dose reduction potential of a breast-positioning (BP) technique for thoracic CT examinations with organ-based tube current modulation (OTCM). METHODS: This study included 13 female anthropomorphic computational phantoms (XCAT, age range: 27-65 y.o., weight range: 52-105.8 kg). Each phantom was modified to simulate three breast sizes in standard supine geometry. The modeled breasts were then morphed to emulate BP that constrained the majority of the breast tissue inside the 120° anterior tube current (mA) reduction zone. The OTCM mA value was modeled using a ray-tracing program, which reduced the mA to 20% in the anterior region with a corresponding increase to the posterior region. The organ doses were estimated by a validated Monte Carlo program for a typical clinical CT system (SOMATOM Definition Flash, Siemens Healthcare). The simulated organ doses and organ doses normalized by CTDIvol were used to compare three CT protocols: attenuation-based tube current modulation (ATCM), OTCM, and OTCM with BP (OTCMBP ). RESULTS: On average, compared to ATCM, OTCM reduced breast dose by 19.3 ± 4.5%, whereas OTCMBP reduced breast dose by 38.6 ± 8.1% (an additional 23.8 ± 9.4%). The dose saving of OTCMBP was more significant for larger breasts (on average 33, 38, and 44% reduction for 0.5, 1, and 2 kg breasts, respectively). Compared to ATCM, OTCMBP also reduced thymus and heart dose by 15.1 ± 7.4% and 15.9 ± 6.2% respectively. CONCLUSIONS: In thoracic CT examinations, OTCM with a breast-positioning technique can markedly reduce unnecessary exposure to radiosensitive organs in anterior chest wall, specifically breast tissue. The breast dose reduction is more notable for women with larger breasts.

Duke Scholars

Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

February 2017

Volume

44

Issue

2

Start / End Page

665 / 678

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiation Dosage
  • Phantoms, Imaging
  • Organ Size
  • Nuclear Medicine & Medical Imaging
  • Monte Carlo Method
  • Middle Aged
  • Image Processing, Computer-Assisted
  • Humans
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Fu, W., Tian, X., Sturgeon, G. M., Agasthya, G., Segars, W. P., Goodsitt, M. M., … Samei, E. (2017). CT breast dose reduction with the use of breast positioning and organ-based tube current modulation. Med Phys, 44(2), 665–678. https://doi.org/10.1002/mp.12076
Fu, Wanyi, Xiaoyu Tian, Gregory M. Sturgeon, Greeshma Agasthya, William Paul Segars, Mitchell M. Goodsitt, Ella A. Kazerooni, and Ehsan Samei. “CT breast dose reduction with the use of breast positioning and organ-based tube current modulation.Med Phys 44, no. 2 (February 2017): 665–78. https://doi.org/10.1002/mp.12076.
Fu W, Tian X, Sturgeon GM, Agasthya G, Segars WP, Goodsitt MM, et al. CT breast dose reduction with the use of breast positioning and organ-based tube current modulation. Med Phys. 2017 Feb;44(2):665–78.
Fu, Wanyi, et al. “CT breast dose reduction with the use of breast positioning and organ-based tube current modulation.Med Phys, vol. 44, no. 2, Feb. 2017, pp. 665–78. Pubmed, doi:10.1002/mp.12076.
Fu W, Tian X, Sturgeon GM, Agasthya G, Segars WP, Goodsitt MM, Kazerooni EA, Samei E. CT breast dose reduction with the use of breast positioning and organ-based tube current modulation. Med Phys. 2017 Feb;44(2):665–678.

Published In

Med Phys

DOI

EISSN

2473-4209

Publication Date

February 2017

Volume

44

Issue

2

Start / End Page

665 / 678

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Radiation Dosage
  • Phantoms, Imaging
  • Organ Size
  • Nuclear Medicine & Medical Imaging
  • Monte Carlo Method
  • Middle Aged
  • Image Processing, Computer-Assisted
  • Humans
  • Female