Literature DB >> 26994092

NEED FOR INDIVIDUAL CANCER RISK ESTIMATES IN X-RAY AND NUCLEAR MEDICINE IMAGING.

Sören Mattsson1.   

Abstract

To facilitate the justification of an X-ray or nuclear medicine investigation and for informing patients, it is desirable that the individual patient's radiation dose and potential cancer risk can be prospectively assessed and documented. The current dose-reporting is based on effective dose, which ignores body size and does not reflect the strong dependence of risk on the age at exposure. Risk estimations should better be done through individual organ dose assessments, which need careful exposure characterisation as well as anatomical description of the individual patient. In nuclear medicine, reference biokinetic models should also be replaced with models describing individual physiological states and biokinetics. There is a need to adjust population-based cancer risk estimates to the possible risk of leukaemia and solid tumours for the individual depending on age and gender. The article summarises reasons for individual cancer risk estimates and gives examples of methods and results of such estimates.
© The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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Year:  2016        PMID: 26994092     DOI: 10.1093/rpd/ncw034

Source DB:  PubMed          Journal:  Radiat Prot Dosimetry        ISSN: 0144-8420            Impact factor:   0.972


  3 in total

1.  Radiation dose from X-ray examinations of impacted canines: cone beam CT vs two-dimensional imaging.

Authors:  Nils Kadesjö; Randi Lynds; Mats Nilsson; Xie-Qi Shi
Journal:  Dentomaxillofac Radiol       Date:  2018-01-16       Impact factor: 2.419

2.  Pitfalls in interventional X-ray organ dose assessment-combined experimental and computational phantom study: application to prostatic artery embolization.

Authors:  Philipp Roser; Annette Birkhold; Xia Zhong; Philipp Ochs; Elizaveta Stepina; Markus Kowarschik; Rebecca Fahrig; Andreas Maier
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-08-03       Impact factor: 2.924

3.  XDose: toward online cross-validation of experimental and computational X-ray dose estimation.

Authors:  Philipp Roser; Annette Birkhold; Alexander Preuhs; Philipp Ochs; Elizaveta Stepina; Norbert Strobel; Markus Kowarschik; Rebecca Fahrig; Andreas Maier
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-12-04       Impact factor: 2.924

  3 in total

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