Investigating the impact of rapidplan on ethos automated planning
<p>Automated planning has surged in popularity within external beam radiation therapy in recent times. Leveraging insights from previous clinical knowledge could enhance auto-planning quality. In this work, we evaluated the performance of Ethos automated planning with knowledge-based guidance,...
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2025
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| _version_ | 1864513541075107840 |
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| author | SA Yoganathan (17760132) |
| author2 | Ahamed Basith (22051946) Aram Rostami (22045274) Muhammad Usman (1504405) Satheesh Paloor (14776915) Rabih Hammoud (14776912) Noora Al-Hammadi (17346808) |
| author2_role | author author author author author author |
| author_facet | SA Yoganathan (17760132) Ahamed Basith (22051946) Aram Rostami (22045274) Muhammad Usman (1504405) Satheesh Paloor (14776915) Rabih Hammoud (14776912) Noora Al-Hammadi (17346808) |
| author_role | author |
| dc.creator.none.fl_str_mv | SA Yoganathan (17760132) Ahamed Basith (22051946) Aram Rostami (22045274) Muhammad Usman (1504405) Satheesh Paloor (14776915) Rabih Hammoud (14776912) Noora Al-Hammadi (17346808) |
| dc.date.none.fl_str_mv | 2025-01-30T09:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.meddos.2024.06.003 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Investigating_the_impact_of_rapidplan_on_ethos_automated_planning/29907095 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biomedical and clinical sciences Oncology and carcinogenesis Health sciences Health services and systems Automated Planning Ethos Adaptive Rapidplan |
| dc.title.none.fl_str_mv | Investigating the impact of rapidplan on ethos automated planning |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p>Automated planning has surged in popularity within external beam radiation therapy in recent times. Leveraging insights from previous clinical knowledge could enhance auto-planning quality. In this work, we evaluated the performance of Ethos automated planning with knowledge-based guidance, specifically using Rapidplan (RP). Seventy-four patients with head-and-neck (HN) cancer and 37 patients with prostate cancer were used to construct separate RP models. Additionally, 16 patients from each group (HN and prostate) were selected to assess the performance of Ethos auto-planning results. Initially, a template-based Ethos plan (Non-RP plan) was generated, followed by integrating the corresponding RP model's DVH estimates into the optimization process to generate another plan (RP plan). We compared the target coverage, OAR doses, and total monitor units between the non-RP and RP plans. Both RP and non-RP plans achieved comparable target coverage in HN and Prostate cases, with a negligible difference of less than 0.5% (p > 0.2). RP plans consistently demonstrated lower doses of OARs in both HN and prostate cases. Specifically, the mean doses of OARs were significantly reduced by 9% (p < 0.05). RP plans required slightly higher monitor units in both HN and prostate sites (p < 0.05), however, the plan generation time was almost similar (p > 0.07). The inclusion of the RP model reduced the OAR doses, particularly reducing the mean dose to critical organs compared to non-RP plans while maintaining similar target coverage. Our findings provide valuable insights for clinics adopting Ethos planning, potentially enhancing the auto-planning to operate optimally.</p><h2>Other Information</h2> <p> Published in: Medical Dosimetry<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.meddos.2024.06.003" target="_blank">https://dx.doi.org/10.1016/j.meddos.2024.06.003</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_7e3e2c78da6b870f7e1c8c6468e4c232 |
| identifier_str_mv | 10.1016/j.meddos.2024.06.003 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29907095 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Investigating the impact of rapidplan on ethos automated planningSA Yoganathan (17760132)Ahamed Basith (22051946)Aram Rostami (22045274)Muhammad Usman (1504405)Satheesh Paloor (14776915)Rabih Hammoud (14776912)Noora Al-Hammadi (17346808)Biomedical and clinical sciencesOncology and carcinogenesisHealth sciencesHealth services and systemsAutomatedPlanningEthosAdaptiveRapidplan<p>Automated planning has surged in popularity within external beam radiation therapy in recent times. Leveraging insights from previous clinical knowledge could enhance auto-planning quality. In this work, we evaluated the performance of Ethos automated planning with knowledge-based guidance, specifically using Rapidplan (RP). Seventy-four patients with head-and-neck (HN) cancer and 37 patients with prostate cancer were used to construct separate RP models. Additionally, 16 patients from each group (HN and prostate) were selected to assess the performance of Ethos auto-planning results. Initially, a template-based Ethos plan (Non-RP plan) was generated, followed by integrating the corresponding RP model's DVH estimates into the optimization process to generate another plan (RP plan). We compared the target coverage, OAR doses, and total monitor units between the non-RP and RP plans. Both RP and non-RP plans achieved comparable target coverage in HN and Prostate cases, with a negligible difference of less than 0.5% (p > 0.2). RP plans consistently demonstrated lower doses of OARs in both HN and prostate cases. Specifically, the mean doses of OARs were significantly reduced by 9% (p < 0.05). RP plans required slightly higher monitor units in both HN and prostate sites (p < 0.05), however, the plan generation time was almost similar (p > 0.07). The inclusion of the RP model reduced the OAR doses, particularly reducing the mean dose to critical organs compared to non-RP plans while maintaining similar target coverage. Our findings provide valuable insights for clinics adopting Ethos planning, potentially enhancing the auto-planning to operate optimally.</p><h2>Other Information</h2> <p> Published in: Medical Dosimetry<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.meddos.2024.06.003" target="_blank">https://dx.doi.org/10.1016/j.meddos.2024.06.003</a></p>2025-01-30T09:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.meddos.2024.06.003https://figshare.com/articles/journal_contribution/Investigating_the_impact_of_rapidplan_on_ethos_automated_planning/29907095CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/299070952025-01-30T09:00:00Z |
| spellingShingle | Investigating the impact of rapidplan on ethos automated planning SA Yoganathan (17760132) Biomedical and clinical sciences Oncology and carcinogenesis Health sciences Health services and systems Automated Planning Ethos Adaptive Rapidplan |
| status_str | publishedVersion |
| title | Investigating the impact of rapidplan on ethos automated planning |
| title_full | Investigating the impact of rapidplan on ethos automated planning |
| title_fullStr | Investigating the impact of rapidplan on ethos automated planning |
| title_full_unstemmed | Investigating the impact of rapidplan on ethos automated planning |
| title_short | Investigating the impact of rapidplan on ethos automated planning |
| title_sort | Investigating the impact of rapidplan on ethos automated planning |
| topic | Biomedical and clinical sciences Oncology and carcinogenesis Health sciences Health services and systems Automated Planning Ethos Adaptive Rapidplan |