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Journal of Medical Imaging

Breast dose reduction with organ-based, wide-angle tube current modulated CT
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Paper Abstract

This study aimed to estimate the organ dose reduction potential for organ-dose-based tube current modulated (ODM) thoracic computed tomography (CT) with a wide dose reduction arc. Twenty-one computational anthropomorphic phantoms (XCAT) were used to create a virtual patient population with clinical anatomic variations. The phantoms were created based on patient images with normal anatomy (age range: 27 to 66 years, weight range: 52.0 to 105.8 kg). For each phantom, two breast tissue compositions were simulated: 50/50 and 20/80 (glandular-to-adipose ratio). A validated Monte Carlo program (PENELOPE, Universitat de Barcelona, Spain) was used to estimate the organ dose for standard tube current modulation (TCM) (SmartmA, GE Healthcare) and ODM (GE Healthcare) for a commercial CT scanner (Revolution, GE Healthcare) using a typical clinical thoracic CT protocol. Both organ dose and CTDIvol-to-organ dose conversion coefficients (h factors) were compared between TCM and ODM. ODM significantly reduced all radiosensitive organ doses (p<0.01). The breast dose was reduced by 30±2%. For h factors, organs in the anterior region (e.g., thyroid and stomach) exhibited substantial decreases, and the medial, distributed, and posterior region saw either an increase of less than 5% or no significant change. ODM significantly reduced organ doses especially for radiosensitive superficial anterior organs such as the breasts.

Paper Details

Date Published: 4 August 2017
PDF: 7 pages
J. Med. Imag. 4(3) 031208 doi: 10.1117/1.JMI.4.3.031208
Published in: Journal of Medical Imaging Volume 4, Issue 3
Show Author Affiliations
Wanyi Fu, Duke Univ. (United States)
Gregory M. Sturgeon, Duke Univ. (United States)
Greeshma Agasthya, Duke Univ. Medical Ctr. (United States)
Wiliam Paul Segars, Carl E. Ravin Advanced Imaging Labs. (United States)
Duke Univ. (United States)
Anuj J. Kapadia, Duke Univ. Medical Ctr. (United States)
Duke Univ. (United States)
Ehsan Samei, Carl E. Ravin Advanced Imaging Labs. (United States)
Duke Univ. (United States)


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