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Title
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Winter is over :tThe use of Artificial Intelligence to individualise radiation therapy for breast cancer
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Author
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Abstract
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| Artificial intelligence demonstrated its value for automated contouring of organs at risk and target volumes as well as for auto-planning of radiation dose distributions in terms of saving time, increasing consistency, and improving dose-volumes parameters. Future developments include incorporating dose/outcome data to optimise dose distributions with optimal coverage of the high-risk areas, while at the same time limiting doses to low-risk areas. An infinite gradient of volumes and doses to deliver spatially-adjusted radiation can be generated, allowing to avoid unnecessary radiation to organs at risk. Therefore, data about patient-, tumour-, and treatment-related factors have to be combined with dose distributions and outcome-containing databases. (C) 2019 Published by Elsevier Ltd. |
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Language
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English
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Source (journal)
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The Breast. - Edinburgh
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Publication
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Edinburgh
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2020
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ISSN
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0960-9776
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DOI
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10.1016/J.BREAST.2019.11.011
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Volume/pages
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49
(2020)
, p. 194-200
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ISI
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000512925000029
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Pubmed ID
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31931265
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Full text (Publisher's DOI)
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Full text (open access)
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