کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1885763 1533505 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
New method for generating breast models featuring glandular tissue spatial distribution
ترجمه فارسی عنوان
روش جدید برای تولید مدل های پستان با توزیع فضایی بافت غدد لنفاوی
کلمات کلیدی
ماموگرافی دیجیتال، به طور متوسط ​​دوز غدد لنفاوی، شبیه سازی مونت کارلو، مدل های پستان، دزیمتری پستان
موضوعات مرتبط
مهندسی و علوم پایه فیزیک و نجوم تشعشع
چکیده انگلیسی


• A method for generating breast models with glandular tissue distribution is proposed.
• Sixteen breast models of four patients with different glandularity were simulated.
• The methodology described constitutes a powerful tool for breast dosimetry.

Mammography is the main radiographic technique used for breast imaging. A major concern with mammographic imaging is the risk of radiation-induced breast cancer due to the high sensitivity of breast tissue. The mean glandular dose (DG) is the dosimetric quantity widely accepted to characterize the risk of radiation induced cancer. Previous studies have concluded that DG depends not only on the breast glandular content but also on the spatial distribution of glandular tissue within the breast. In this work, a new method for generating computational breast models featuring skin composition and glandular tissue distribution from patients undergoing digital mammography is proposed. Such models allow a more accurate way of calculating individualized breast glandular doses taking into consideration the glandular tissue fraction. Sixteen breast models of four patients with different glandularity breasts were simulated and the results were compared with those obtained from recommended DG conversion factors. The results show that the internationally recommended conversion factors may be overestimating the mean glandular dose to less dense breasts and underestimating the mean glandular dose for denser breasts. The methodology described in this work constitutes a powerful tool for breast dosimetry, especially for risk studies.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Radiation Physics and Chemistry - Volume 119, February 2016, Pages 200–206
نویسندگان
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