Literature DB >> 28363341

Risk of secondary cancers: Bridging epidemiology and modeling.

Uwe Schneider1, Linda Walsh2.   

Abstract

Epidemiological studies of long term radiotherapy survivors provide useful insights into dose-response relationships for secondary cancer induction risk at high doses. There are uncertainties involved in estimating the dose to the location of the second malignancy, because the dose distributions in radiotherapy patients can be spatially highly heterogeneous and the size of the diagnosed tumor is on the order of a few cm. Therefor it is nearly impossible to obtain the exact dose corresponding to the exact tumor induction location and so organ specific dose-response relationships have large errors not only in the reported risk, but also in the estimated dose. In this work two alternative methods are proposed for future applications involving investigations into dose response relationships for second cancer induction risk, the method of organ sub-division and the method of risk equivalent dose. The method of organ sub-division takes the inevitable inhomogeneous dose distribution into account by applying epidemiological methods to organ sub-divisions which have a nearly homogenous dose. The method of risk equivalent dose combines risk modeling and epidemiological data analysis. Risk models can be optimized by using an iterative procedure assuming a variation of organ specific dose-responses. The advantage of the alternative methods is that the inhomogeneity of the dose in the organs at risk is taken into account. The second method has the additional advantage that the dose to the location of the tumor site must not be known and that epidemiologically obtained risks that were not stratified by organ specific risk can be used.
Copyright © 2017 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Epidemiology; Modeling; Radiotherapy; Second primary cancer

Mesh:

Year:  2017        PMID: 28363341     DOI: 10.1016/j.ejmp.2017.03.011

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  3 in total

1.  Tumour size can have an impact on the outcomes of epidemiological studies on second cancers after radiotherapy.

Authors:  Uwe Schneider; Linda Walsh; Wayne Newhauser
Journal:  Radiat Environ Biophys       Date:  2018-08-31       Impact factor: 1.925

2.  Modelling and measurements of distributions in an adult human phantom undergoing proton scanning beam radiotherapy: lung- and prostate-located tumours.

Authors:  Monika Puchalska
Journal:  Radiat Environ Biophys       Date:  2021-03-02       Impact factor: 1.925

Review 3.  Fondazione Italiana Linfomi (FIL) expert consensus on the use of intensity-modulated and image-guided radiotherapy for Hodgkin's lymphoma involving the mediastinum.

Authors:  Andrea Riccardo Filippi; Sofia Meregalli; Anna DI Russo; Mario Levis; Patrizia Ciammella; Michela Buglione; Andrea Emanuele Guerini; Giuseppina De Marco; Vitaliana De Sanctis; Stefano Vagge; Umberto Ricardi; Gabriele Simontacchi
Journal:  Radiat Oncol       Date:  2020-03-12       Impact factor: 3.481

  3 in total

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