Monte Carlo evaluation of a treatment planning system for helical tomotherapy in an anthropomorphic heterogeneous phantom and for clinical treatment plans
Helical tomotherapy is an increasingly common form of intensity modulated radiation therapy that allows for image guided adaptive radiotherapy. Its treatment planning system (TPS) uses a convolution superposition algorithm for dose distribution calculations. The accuracy of this algorithm in the pre...
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description | Helical tomotherapy is an increasingly common form of intensity modulated radiation therapy that allows for image guided adaptive radiotherapy. Its treatment planning system (TPS) uses a convolution superposition algorithm for dose distribution calculations. The accuracy of this algorithm in the presence of heterogeneities was evaluated against Monte Carlo (MC) calculations and measurements. This work performed BEAMnrc-and DOSXYZnrc-based MC dose calculations of tomotherapy deliveries to a CIRS anthropomorphic heterogeneous phantom with typical clinical inverse planning and delivery settings. Point measurements with A1SL ion chambers and relative measurements with Kodak EDR2 film were carried out in the phantom. The experimental results were used to evaluate both the TPS and MC dose calculations. Furthermore, the dose distribution for a clinical head-and-neck cancer plan was calculated on the TPS and MC systems. The results support this MC system as a viable option for the accurate simulation of the tomotherapy process in the presence of heterogeneities where direct measurement may not be practical. Ion chamber measurements in the CIRS phantom suggested the TPS has an average relative difference of 2.3%, with the largest difference being
−
4.1
%
in one of the organs at risk. The MC system accurately predicted the dose to these measurement points within statistical uncertainty. The film measurements in the CIRS phantom demonstrated 90.7% (of pixels) agreed with the MC system using a
±
3
%
∕
3
mm
acceptance criteria, where only 50.3% agreed with the TPS. In the clinical head-and-neck cancer plan evaluation where MC served as a reference against which to compare the TPS result, an average of 92.7% of the voxels within volumes of interest passed a
3
%
∕
3
mm
criteria. The PTV54 region showed the worst agreement with 85.4% of the volume passing the
3
%
∕
3
mm
criteria. In general, the
±
3
%
∕
3
mm
criterion was found to be a challenge for the TPS in the presence of lung inhomogeneity. |
doi_str_mv | 10.1118/1.3002316 |
format | Article |
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−
4.1
%
in one of the organs at risk. The MC system accurately predicted the dose to these measurement points within statistical uncertainty. The film measurements in the CIRS phantom demonstrated 90.7% (of pixels) agreed with the MC system using a
±
3
%
∕
3
mm
acceptance criteria, where only 50.3% agreed with the TPS. In the clinical head-and-neck cancer plan evaluation where MC served as a reference against which to compare the TPS result, an average of 92.7% of the voxels within volumes of interest passed a
3
%
∕
3
mm
criteria. The PTV54 region showed the worst agreement with 85.4% of the volume passing the
3
%
∕
3
mm
criteria. In general, the
±
3
%
∕
3
mm
criterion was found to be a challenge for the TPS in the presence of lung inhomogeneity.</description><identifier>ISSN: 0094-2405</identifier><identifier>EISSN: 2473-4209</identifier><identifier>DOI: 10.1118/1.3002316</identifier><identifier>PMID: 19175096</identifier><identifier>CODEN: MPHYA6</identifier><language>eng</language><publisher>United States: American Association of Physicists in Medicine</publisher><subject>Algorithms ; biology computing ; Cancer ; Computed tomography ; Computer Simulation ; convolution∕superposition ; dosimetry ; Dosimetry/exposure assessment ; EDR2 ; Head and Neck Neoplasms - radiotherapy ; heterogeneous ; Humans ; Intensity modulated radiation therapy ; Ionization chambers ; Ions ; lung ; Lungs ; Medical imaging ; Medical treatment planning ; Modeling, computer simulation of cell processes ; Monte Carlo ; Monte Carlo calculations ; Monte Carlo Method ; Monte Carlo methods ; optical tomography ; patient treatment ; phantoms ; Phantoms, Imaging ; radiation therapy ; Radiotherapy Planning, Computer-Assisted - methods ; Radiotherapy, Intensity-Modulated - methods ; Reproducibility of Results ; Therapeutic applications ; Thorax - pathology ; Tissues ; tomotherapy ; TPS verification ; X-Ray Film</subject><ispartof>Medical physics (Lancaster), 2008-12, Vol.35 (12), p.5366-5374</ispartof><rights>American Association of Physicists in Medicine</rights><rights>2008 American Association of Physicists in Medicine</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4466-3899de0444c67891353f9532ce4c231fcbf3ecd74c54a474eaffb17eeacbcf9b3</citedby><cites>FETCH-LOGICAL-c4466-3899de0444c67891353f9532ce4c231fcbf3ecd74c54a474eaffb17eeacbcf9b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1118%2F1.3002316$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1118%2F1.3002316$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19175096$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhao, Ying-Li</creatorcontrib><creatorcontrib>Mackenzie, M.</creatorcontrib><creatorcontrib>Kirkby, C.</creatorcontrib><creatorcontrib>Fallone, B. G.</creatorcontrib><title>Monte Carlo evaluation of a treatment planning system for helical tomotherapy in an anthropomorphic heterogeneous phantom and for clinical treatment plans</title><title>Medical physics (Lancaster)</title><addtitle>Med Phys</addtitle><description>Helical tomotherapy is an increasingly common form of intensity modulated radiation therapy that allows for image guided adaptive radiotherapy. Its treatment planning system (TPS) uses a convolution superposition algorithm for dose distribution calculations. The accuracy of this algorithm in the presence of heterogeneities was evaluated against Monte Carlo (MC) calculations and measurements. This work performed BEAMnrc-and DOSXYZnrc-based MC dose calculations of tomotherapy deliveries to a CIRS anthropomorphic heterogeneous phantom with typical clinical inverse planning and delivery settings. Point measurements with A1SL ion chambers and relative measurements with Kodak EDR2 film were carried out in the phantom. The experimental results were used to evaluate both the TPS and MC dose calculations. Furthermore, the dose distribution for a clinical head-and-neck cancer plan was calculated on the TPS and MC systems. The results support this MC system as a viable option for the accurate simulation of the tomotherapy process in the presence of heterogeneities where direct measurement may not be practical. Ion chamber measurements in the CIRS phantom suggested the TPS has an average relative difference of 2.3%, with the largest difference being
−
4.1
%
in one of the organs at risk. The MC system accurately predicted the dose to these measurement points within statistical uncertainty. The film measurements in the CIRS phantom demonstrated 90.7% (of pixels) agreed with the MC system using a
±
3
%
∕
3
mm
acceptance criteria, where only 50.3% agreed with the TPS. In the clinical head-and-neck cancer plan evaluation where MC served as a reference against which to compare the TPS result, an average of 92.7% of the voxels within volumes of interest passed a
3
%
∕
3
mm
criteria. The PTV54 region showed the worst agreement with 85.4% of the volume passing the
3
%
∕
3
mm
criteria. In general, the
±
3
%
∕
3
mm
criterion was found to be a challenge for the TPS in the presence of lung inhomogeneity.</description><subject>Algorithms</subject><subject>biology computing</subject><subject>Cancer</subject><subject>Computed tomography</subject><subject>Computer Simulation</subject><subject>convolution∕superposition</subject><subject>dosimetry</subject><subject>Dosimetry/exposure assessment</subject><subject>EDR2</subject><subject>Head and Neck Neoplasms - radiotherapy</subject><subject>heterogeneous</subject><subject>Humans</subject><subject>Intensity modulated radiation therapy</subject><subject>Ionization chambers</subject><subject>Ions</subject><subject>lung</subject><subject>Lungs</subject><subject>Medical imaging</subject><subject>Medical treatment planning</subject><subject>Modeling, computer simulation of cell processes</subject><subject>Monte Carlo</subject><subject>Monte Carlo calculations</subject><subject>Monte Carlo Method</subject><subject>Monte Carlo methods</subject><subject>optical tomography</subject><subject>patient treatment</subject><subject>phantoms</subject><subject>Phantoms, Imaging</subject><subject>radiation therapy</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Radiotherapy, Intensity-Modulated - methods</subject><subject>Reproducibility of Results</subject><subject>Therapeutic applications</subject><subject>Thorax - pathology</subject><subject>Tissues</subject><subject>tomotherapy</subject><subject>TPS verification</subject><subject>X-Ray Film</subject><issn>0094-2405</issn><issn>2473-4209</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kdFuFCEUhomxsWv1whcwXJloMhUGZma5MWk2Vk3a1Au9Jgxz6GCYYQS2Zl_Fpy27M0abZiUkJPDxnQM_Qq8oOaeUrt_Tc0ZIyWj9BK1K3rCCl0Q8RStCBC9KTqpT9DzGH4SQmlXkGTqlgjYVEfUK_b72YwK8UcF5DHfKbVWyfsTeYIVTAJUGGBOenBpHO97iuIsJBmx8wD04q5XDyQ8-9RDUtMN2xGo_Ux_8lPfD1FudyQTB38IIfhvx1OdzP2SqO3i0s-MselAuvkAnRrkIL5f1DH2__Pht87m4uvn0ZXNxVWjO67pgayE6IJxzXTdrQVnFjKhYqYHr_CdGt4aB7hquK654w0EZ09IGQOlWG9GyM_Rm9k7B_9xCTHKwUYPLPez7lXUeTVWKDL6dQR18jAGMnIIdVNhJSuQ-CEnlEkRmXy_SbTtA95dcfj4DxQz8sg52x03y-usi_DDzUdt0yOj4nUOm8pCp_JNpFrw7Jrjz4Z-CU2f-Bz9-6z12M8a6</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Zhao, Ying-Li</creator><creator>Mackenzie, M.</creator><creator>Kirkby, C.</creator><creator>Fallone, B. G.</creator><general>American Association of Physicists in Medicine</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>200812</creationdate><title>Monte Carlo evaluation of a treatment planning system for helical tomotherapy in an anthropomorphic heterogeneous phantom and for clinical treatment plans</title><author>Zhao, Ying-Li ; Mackenzie, M. ; Kirkby, C. ; Fallone, B. G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4466-3899de0444c67891353f9532ce4c231fcbf3ecd74c54a474eaffb17eeacbcf9b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>biology computing</topic><topic>Cancer</topic><topic>Computed tomography</topic><topic>Computer Simulation</topic><topic>convolution∕superposition</topic><topic>dosimetry</topic><topic>Dosimetry/exposure assessment</topic><topic>EDR2</topic><topic>Head and Neck Neoplasms - radiotherapy</topic><topic>heterogeneous</topic><topic>Humans</topic><topic>Intensity modulated radiation therapy</topic><topic>Ionization chambers</topic><topic>Ions</topic><topic>lung</topic><topic>Lungs</topic><topic>Medical imaging</topic><topic>Medical treatment planning</topic><topic>Modeling, computer simulation of cell processes</topic><topic>Monte Carlo</topic><topic>Monte Carlo calculations</topic><topic>Monte Carlo Method</topic><topic>Monte Carlo methods</topic><topic>optical tomography</topic><topic>patient treatment</topic><topic>phantoms</topic><topic>Phantoms, Imaging</topic><topic>radiation therapy</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Radiotherapy, Intensity-Modulated - methods</topic><topic>Reproducibility of Results</topic><topic>Therapeutic applications</topic><topic>Thorax - pathology</topic><topic>Tissues</topic><topic>tomotherapy</topic><topic>TPS verification</topic><topic>X-Ray Film</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhao, Ying-Li</creatorcontrib><creatorcontrib>Mackenzie, M.</creatorcontrib><creatorcontrib>Kirkby, C.</creatorcontrib><creatorcontrib>Fallone, B. G.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Medical physics (Lancaster)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhao, Ying-Li</au><au>Mackenzie, M.</au><au>Kirkby, C.</au><au>Fallone, B. G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Monte Carlo evaluation of a treatment planning system for helical tomotherapy in an anthropomorphic heterogeneous phantom and for clinical treatment plans</atitle><jtitle>Medical physics (Lancaster)</jtitle><addtitle>Med Phys</addtitle><date>2008-12</date><risdate>2008</risdate><volume>35</volume><issue>12</issue><spage>5366</spage><epage>5374</epage><pages>5366-5374</pages><issn>0094-2405</issn><eissn>2473-4209</eissn><coden>MPHYA6</coden><abstract>Helical tomotherapy is an increasingly common form of intensity modulated radiation therapy that allows for image guided adaptive radiotherapy. Its treatment planning system (TPS) uses a convolution superposition algorithm for dose distribution calculations. The accuracy of this algorithm in the presence of heterogeneities was evaluated against Monte Carlo (MC) calculations and measurements. This work performed BEAMnrc-and DOSXYZnrc-based MC dose calculations of tomotherapy deliveries to a CIRS anthropomorphic heterogeneous phantom with typical clinical inverse planning and delivery settings. Point measurements with A1SL ion chambers and relative measurements with Kodak EDR2 film were carried out in the phantom. The experimental results were used to evaluate both the TPS and MC dose calculations. Furthermore, the dose distribution for a clinical head-and-neck cancer plan was calculated on the TPS and MC systems. The results support this MC system as a viable option for the accurate simulation of the tomotherapy process in the presence of heterogeneities where direct measurement may not be practical. Ion chamber measurements in the CIRS phantom suggested the TPS has an average relative difference of 2.3%, with the largest difference being
−
4.1
%
in one of the organs at risk. The MC system accurately predicted the dose to these measurement points within statistical uncertainty. The film measurements in the CIRS phantom demonstrated 90.7% (of pixels) agreed with the MC system using a
±
3
%
∕
3
mm
acceptance criteria, where only 50.3% agreed with the TPS. In the clinical head-and-neck cancer plan evaluation where MC served as a reference against which to compare the TPS result, an average of 92.7% of the voxels within volumes of interest passed a
3
%
∕
3
mm
criteria. The PTV54 region showed the worst agreement with 85.4% of the volume passing the
3
%
∕
3
mm
criteria. In general, the
±
3
%
∕
3
mm
criterion was found to be a challenge for the TPS in the presence of lung inhomogeneity.</abstract><cop>United States</cop><pub>American Association of Physicists in Medicine</pub><pmid>19175096</pmid><doi>10.1118/1.3002316</doi><tpages>9</tpages></addata></record> |
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source | MEDLINE; Wiley Online Library All Journals; Alma/SFX Local Collection |
subjects | Algorithms biology computing Cancer Computed tomography Computer Simulation convolution∕superposition dosimetry Dosimetry/exposure assessment EDR2 Head and Neck Neoplasms - radiotherapy heterogeneous Humans Intensity modulated radiation therapy Ionization chambers Ions lung Lungs Medical imaging Medical treatment planning Modeling, computer simulation of cell processes Monte Carlo Monte Carlo calculations Monte Carlo Method Monte Carlo methods optical tomography patient treatment phantoms Phantoms, Imaging radiation therapy Radiotherapy Planning, Computer-Assisted - methods Radiotherapy, Intensity-Modulated - methods Reproducibility of Results Therapeutic applications Thorax - pathology Tissues tomotherapy TPS verification X-Ray Film |
title | Monte Carlo evaluation of a treatment planning system for helical tomotherapy in an anthropomorphic heterogeneous phantom and for clinical treatment plans |
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