کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5726210 1609724 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research articleMathematical modelling of radiation-induced cancer risk from breast screening by mammography
ترجمه فارسی عنوان
مقاله پژوهشی مدل سازی مؤثر بر خطر ابتلا به سرطان رادیواکتیو از بروز پستان توسط ماموگرافی
کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت پزشکی و دندانپزشکی رادیولوژی و تصویربرداری
چکیده انگلیسی

ObjectivesEstablish a method to determine and convey lifetime radiation risk from FFDM screening.MethodsRadiation risk from screening mammography was quantified using effective risk (number of radiation-induced cancer cases/million). For effective risk calculations, organ doses and examined breast MGD were used. Screening mammography was simulated by exposing a breast phantom for cranio-caudal and medio-lateral oblique for each breast using 16 FFDM machines. An ATOM phantom loaded with TLD dosimeters was positioned in contact with the breast phantom to simulate the client's body. Effective risk data were analysed using SPSS software to establish a regression model to predict the effective risk of any screening programme. Graphs were generated to extrapolate the effective risk of all screening programmes for a range of commencement ages and time intervals between screens.ResultsThe most important parameters controlling clients' total effective risk within breast screening are the screening commencement age and number of screens (correlation coefficients were −0.865 and 0.714, respectively). Since the tissue radio-sensitivity reduces with age, the end age of screening does not result in noteworthy effect on total effective risk.ConclusionsThe regression model can be used to predict the total effective risk for clients within breast screening but it cannot be used for exact assessment of total effective risk. Graphical representation of risk could be an easy way to represent risk in a fashion which might be helpful to clients and clinicians.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: European Journal of Radiology - Volume 96, November 2017, Pages 98-103
نویسندگان
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