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- Publisher Website: 10.1088/1361-6560/ad64b6
- Scopus: eid_2-s2.0-85200703929
- PMID: 39019051
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Article: A framework for in-field and out-of-field patient specific secondary cancer risk estimates from treatment plans using the TOPAS Monte Carlo system
Title | A framework for in-field and out-of-field patient specific secondary cancer risk estimates from treatment plans using the TOPAS Monte Carlo system |
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Authors | |
Keywords | computational phantoms Monte Carlo dose calculation out-of-field dose second cancer risk |
Issue Date | 2024 |
Citation | Physics in Medicine and Biology, 2024, v. 69, n. 16, article no. 165023 How to Cite? |
Abstract | Objective. To allow the estimation of secondary cancer risks from radiation therapy treatment plans in a comprehensive and user-friendly Monte Carlo (MC) framework. Method. Patient planning computed tomography scans were extended superior-inferior using the International Commission on Radiological Protection’s Publication 145 computational mesh phantoms and skeletal matching. Dose distributions were calculated with the TOPAS MC system using novel mesh capabilities and the digital imaging and communications in medicine radiotherapy extension interface. Finally, in-field and out-of-field cancer risk was calculated using both sarcoma and carcinoma risk models with two alternative parameter sets. Result. The TOPAS MC framework was extended to facilitate epidemiological studies on radiation-induced cancer risk. The framework is efficient and allows automated analysis of large datasets. Out-of-field organ dose was small compared to in-field dose, but the risk estimates indicate a non-negligible contribution to the total radiation induced cancer risk. Significance. This work equips the TOPAS MC system with anatomical extension, mesh geometry, and cancer risk model capabilities that make state-of-the-art out-of-field dose calculation and risk estimation accessible to a large pool of users. Furthermore, these capabilities will facilitate further refinement of risk models and sensitivity analysis of patient specific treatment options. |
Persistent Identifier | http://hdl.handle.net/10722/345829 |
ISSN | 2023 Impact Factor: 3.3 2023 SCImago Journal Rankings: 0.972 |
DC Field | Value | Language |
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dc.contributor.author | Meyer, Isaac | - |
dc.contributor.author | Peters, Nils | - |
dc.contributor.author | Tamborino, Giulia | - |
dc.contributor.author | Lee, Hoyeon | - |
dc.contributor.author | Bertolet, Alejandro | - |
dc.contributor.author | Faddegon, Bruce | - |
dc.contributor.author | Mille, Matthew M. | - |
dc.contributor.author | Lee, Choonsik | - |
dc.contributor.author | Schuemann, Jan | - |
dc.contributor.author | Paganetti, Harald | - |
dc.date.accessioned | 2024-09-01T11:00:00Z | - |
dc.date.available | 2024-09-01T11:00:00Z | - |
dc.date.issued | 2024 | - |
dc.identifier.citation | Physics in Medicine and Biology, 2024, v. 69, n. 16, article no. 165023 | - |
dc.identifier.issn | 0031-9155 | - |
dc.identifier.uri | http://hdl.handle.net/10722/345829 | - |
dc.description.abstract | Objective. To allow the estimation of secondary cancer risks from radiation therapy treatment plans in a comprehensive and user-friendly Monte Carlo (MC) framework. Method. Patient planning computed tomography scans were extended superior-inferior using the International Commission on Radiological Protection’s Publication 145 computational mesh phantoms and skeletal matching. Dose distributions were calculated with the TOPAS MC system using novel mesh capabilities and the digital imaging and communications in medicine radiotherapy extension interface. Finally, in-field and out-of-field cancer risk was calculated using both sarcoma and carcinoma risk models with two alternative parameter sets. Result. The TOPAS MC framework was extended to facilitate epidemiological studies on radiation-induced cancer risk. The framework is efficient and allows automated analysis of large datasets. Out-of-field organ dose was small compared to in-field dose, but the risk estimates indicate a non-negligible contribution to the total radiation induced cancer risk. Significance. This work equips the TOPAS MC system with anatomical extension, mesh geometry, and cancer risk model capabilities that make state-of-the-art out-of-field dose calculation and risk estimation accessible to a large pool of users. Furthermore, these capabilities will facilitate further refinement of risk models and sensitivity analysis of patient specific treatment options. | - |
dc.language | eng | - |
dc.relation.ispartof | Physics in Medicine and Biology | - |
dc.subject | computational phantoms | - |
dc.subject | Monte Carlo dose calculation | - |
dc.subject | out-of-field dose | - |
dc.subject | second cancer risk | - |
dc.title | A framework for in-field and out-of-field patient specific secondary cancer risk estimates from treatment plans using the TOPAS Monte Carlo system | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1088/1361-6560/ad64b6 | - |
dc.identifier.pmid | 39019051 | - |
dc.identifier.scopus | eid_2-s2.0-85200703929 | - |
dc.identifier.volume | 69 | - |
dc.identifier.issue | 16 | - |
dc.identifier.spage | article no. 165023 | - |
dc.identifier.epage | article no. 165023 | - |
dc.identifier.eissn | 1361-6560 | - |