Literature DB >> 30520982

LONG-TERM HEALTH RISK AFTER BREAST-CANCER RADIOTHERAPY: OVERVIEW OF PASSOS METHODOLOGY AND SOFTWARE.

Markus Eidemüller1, Cristoforo Simonetto1, Pavel Kundrát1, Alexander Ulanowski1, Elena Shemiakina1, Denise Güthlin1, Hannes Rennau2, Julia Remmele3, Guido Hildebrandt2, Ulrich Wolf3.   

Abstract

Breast-cancer radiotherapy reduces the recurrence rates and improves patient survival. However, it also increases the incidence of second cancers and of heart disease. These radiation-induced long-term health risks become increasingly important with improved cure rates and prolonged patient survival. Radiation doses to nearby as well as distant organs strongly vary between different irradiation techniques and among individual patients. To provide personalized lifetime risk estimates, the German national project PASSOS combines individual anatomy, dosimetric estimates, organ-specific low- and high-dose risk models and personal risk factors such as smoking. A dedicated software tool is under development to assist clinical decision-making processes.
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Year:  2019        PMID: 30520982     DOI: 10.1093/rpd/ncy219

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


  5 in total

1.  Heart sparing radiotherapy in breast cancer: the importance of baseline cardiac risks.

Authors:  Aurélie Gaasch; Stephan Schönecker; Cristoforo Simonetto; Markus Eidemüller; Montserrat Pazos; Daniel Reitz; Maya Rottler; Philipp Freislederer; Michael Braun; Rachel Würstlein; Nadia Harbeck; Maximilian Niyazi; Claus Belka; Stefanie Corradini
Journal:  Radiat Oncol       Date:  2020-05-24       Impact factor: 3.481

2.  Integration of biological factors in the treatment plan evaluation in breast cancer radiotherapy.

Authors:  Henrik Svensson; Dan Lundstedt; Maria Hällje; Magnus Gustafsson; Roumiana Chakarova; Per Karlsson
Journal:  Phys Imaging Radiat Oncol       Date:  2019-08-30

3.  Anatomy-dependent lung doses from 3D-conformal breast-cancer radiotherapy.

Authors:  Pavel Kundrát; Hannes Rennau; Julia Remmele; Sabine Sebb; Cristoforo Simonetto; Jan Christian Kaiser; Guido Hildebrandt; Ulrich Wolf; Markus Eidemüller
Journal:  Sci Rep       Date:  2022-06-28       Impact factor: 4.996

4.  Developing a Novel Machine Learning-Based Classification Scheme for Predicting SPCs in Breast Cancer Survivors.

Authors:  Chi-Chang Chang; Ssu-Han Chen
Journal:  Front Genet       Date:  2019-09-18       Impact factor: 4.599

5.  ProZES: the methodology and software tool for assessment of assigned share of radiation in probability of cancer occurrence.

Authors:  Alexander Ulanowski; Elena Shemiakina; Denise Güthlin; Janine Becker; Dale Preston; A Iulian Apostoaei; F Owen Hoffman; Peter Jacob; Jan Christian Kaiser; Markus Eidemüller
Journal:  Radiat Environ Biophys       Date:  2020-08-26       Impact factor: 1.925

  5 in total

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