Mathematical modelling of radiation-induced cancer risk from breast screening by mammography. Issue 96 (November 2017)
- Record Type:
- Journal Article
- Title:
- Mathematical modelling of radiation-induced cancer risk from breast screening by mammography. Issue 96 (November 2017)
- Main Title:
- Mathematical modelling of radiation-induced cancer risk from breast screening by mammography
- Authors:
- M.Ali, Raed M.K.
England, Andrew
Mercer, Claire
Tootell, Andrew
Walton, Lucy
Schaake, Wouter
Hogg, Peter - Abstract:
- Abstract: Objectives: Establish a method to determine and convey lifetime radiation risk from FFDM screening. Methods: Radiation 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. Results: The 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. Conclusions: The 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 anAbstract: Objectives: Establish a method to determine and convey lifetime radiation risk from FFDM screening. Methods: Radiation 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. Results: The 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. Conclusions: The 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. … (more)
- Is Part Of:
- European journal of radiology. Issue 96(2017)
- Journal:
- European journal of radiology
- Issue:
- Issue 96(2017)
- Issue Display:
- Volume 96, Issue 96 (2017)
- Year:
- 2017
- Volume:
- 96
- Issue:
- 96
- Issue Sort Value:
- 2017-0096-0096-0000
- Page Start:
- 98
- Page End:
- 103
- Publication Date:
- 2017-11
- Subjects:
- Dosimetry -- Radiation risk -- Breast screening
Medical radiology -- Periodicals
Radiology -- Periodicals
Radiologie médicale -- Périodiques
Medical radiology
Periodicals
616.075705 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0720048X ↗
http://www.elsevier.com/homepage/elecserv.htt ↗
http://www.clinicalkey.com/dura/browse/journalIssue/0720048X ↗
http://www.clinicalkey.com.au/dura/browse/journalIssue/0720048X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ejrad.2017.10.003 ↗
- Languages:
- English
- ISSNs:
- 0720-048X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3829.738050
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 5287.xml