Reinforcement Learning for Radiotherapy Dose Fractioning Automation
External beam radiotherapy cancer treatment aims to deliver dose fractions to slowly destroy a tumor while avoiding severe side effects in surrounding healthy tissues. To automate the dose fraction schedules, this paper investigates how deep reinforcement learning approaches (based on deep Q network...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Biomedicines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-9059/9/2/214 |
| _version_ | 1797395901855039488 |
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| author | Grégoire Moreau Vincent François-Lavet Paul Desbordes Benoît Macq |
| author_facet | Grégoire Moreau Vincent François-Lavet Paul Desbordes Benoît Macq |
| author_sort | Grégoire Moreau |
| collection | DOAJ |
| description | External beam radiotherapy cancer treatment aims to deliver dose fractions to slowly destroy a tumor while avoiding severe side effects in surrounding healthy tissues. To automate the dose fraction schedules, this paper investigates how deep reinforcement learning approaches (based on deep Q network and deep deterministic policy gradient) can learn from a model of a mixture of tumor and healthy cells. A 2D tumor growth simulation is used to simulate radiation effects on tissues and thus training an agent to automatically optimize dose fractionation. Results show that initiating treatment with large dose per fraction, and then gradually reducing it, is preferred to the standard approach of using a constant dose per fraction. |
| first_indexed | 2024-03-09T00:43:35Z |
| format | Article |
| id | doaj.art-3dcabffce4f9495689bc09e201ae1012 |
| institution | Directory Open Access Journal |
| issn | 2227-9059 |
| language | English |
| last_indexed | 2024-03-09T00:43:35Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomedicines |
| spelling | doaj.art-3dcabffce4f9495689bc09e201ae10122023-12-11T17:41:46ZengMDPI AGBiomedicines2227-90592021-02-019221410.3390/biomedicines9020214Reinforcement Learning for Radiotherapy Dose Fractioning AutomationGrégoire Moreau0Vincent François-Lavet1Paul Desbordes2Benoît Macq3Institute of Information and Communication Technologies, Electronics and Applied Mathematics, UCLouvain, 1348 Louvain-la-Neuve, BelgiumInstitute of Information and Communication Technologies, Electronics and Applied Mathematics, UCLouvain, 1348 Louvain-la-Neuve, BelgiumInstitute of Information and Communication Technologies, Electronics and Applied Mathematics, UCLouvain, 1348 Louvain-la-Neuve, BelgiumInstitute of Information and Communication Technologies, Electronics and Applied Mathematics, UCLouvain, 1348 Louvain-la-Neuve, BelgiumExternal beam radiotherapy cancer treatment aims to deliver dose fractions to slowly destroy a tumor while avoiding severe side effects in surrounding healthy tissues. To automate the dose fraction schedules, this paper investigates how deep reinforcement learning approaches (based on deep Q network and deep deterministic policy gradient) can learn from a model of a mixture of tumor and healthy cells. A 2D tumor growth simulation is used to simulate radiation effects on tissues and thus training an agent to automatically optimize dose fractionation. Results show that initiating treatment with large dose per fraction, and then gradually reducing it, is preferred to the standard approach of using a constant dose per fraction.https://www.mdpi.com/2227-9059/9/2/214reinforcement learningautomatic treatment planningcellular simulation |
| spellingShingle | Grégoire Moreau Vincent François-Lavet Paul Desbordes Benoît Macq Reinforcement Learning for Radiotherapy Dose Fractioning Automation Biomedicines reinforcement learning automatic treatment planning cellular simulation |
| title | Reinforcement Learning for Radiotherapy Dose Fractioning Automation |
| title_full | Reinforcement Learning for Radiotherapy Dose Fractioning Automation |
| title_fullStr | Reinforcement Learning for Radiotherapy Dose Fractioning Automation |
| title_full_unstemmed | Reinforcement Learning for Radiotherapy Dose Fractioning Automation |
| title_short | Reinforcement Learning for Radiotherapy Dose Fractioning Automation |
| title_sort | reinforcement learning for radiotherapy dose fractioning automation |
| topic | reinforcement learning automatic treatment planning cellular simulation |
| url | https://www.mdpi.com/2227-9059/9/2/214 |
| work_keys_str_mv | AT gregoiremoreau reinforcementlearningforradiotherapydosefractioningautomation AT vincentfrancoislavet reinforcementlearningforradiotherapydosefractioningautomation AT pauldesbordes reinforcementlearningforradiotherapydosefractioningautomation AT benoitmacq reinforcementlearningforradiotherapydosefractioningautomation |