Treatment planning for radio-immunotherapy
To foster the success of clinical trials in radio-immunotherapy (RIT), one needs to determine (i) the quantity and spatial distribution of the administered radionuclide carrier in the patient over time, (ii) the absorbed dose in the tumour sites and critical organs based on this distribution and (ii...
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Veröffentlicht in: | Physics in medicine & biology 1996-10, Vol.41 (10), p.2009-2026 |
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creator | Erdi, Alev K Erdi, Yusuf E Yorke, Ellen D Wessels, Barry W |
description | To foster the success of clinical trials in radio-immunotherapy (RIT), one needs to determine (i) the quantity and spatial distribution of the administered radionuclide carrier in the patient over time, (ii) the absorbed dose in the tumour sites and critical organs based on this distribution and (iii) the volume of tumour mass(es) and normal organs from computerized tomography or magnetic resonance imaging and appropriately correlated with nuclear medicine imaging techniques (such as planar, single-photon emission computerized tomography or positron-emission tomography). Treatment planning for RIT has become an important tool in predicting the relative benefit of therapy based on individualized dosimetry as derived from diagnostic, pre-therapy administration of the radiolabelled antibody. This allows the investigator to pre-select those patients who have 'favorable' dosimetry characteristics (high time-averaged target: non-target ratios) so that the chances for treatment success may be more accurately quantified before placing the patient at risk for treatment-related organ toxicities. The future prospects for RIT treatment planning may yield a more accurate correlation of response and critical organ toxicity with computed absorbed dose, and the compilation of dose-volume histogram information for tumour(s) and normal organ(s) such that computing tumour control probabilities and normal tissue complication probabilities becomes possible for heterogeneous distributions of the radiolabelled antibody. Additionally, radiobiological consequences of depositing absorbed doses from exponentially decaying sources must be factored into the interpretation when trying to compute the effects of standard external beam isodose display patterns combined with those associated with RIT. |
doi_str_mv | 10.1088/0031-9155/41/10/011 |
format | Article |
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Treatment planning for RIT has become an important tool in predicting the relative benefit of therapy based on individualized dosimetry as derived from diagnostic, pre-therapy administration of the radiolabelled antibody. This allows the investigator to pre-select those patients who have 'favorable' dosimetry characteristics (high time-averaged target: non-target ratios) so that the chances for treatment success may be more accurately quantified before placing the patient at risk for treatment-related organ toxicities. The future prospects for RIT treatment planning may yield a more accurate correlation of response and critical organ toxicity with computed absorbed dose, and the compilation of dose-volume histogram information for tumour(s) and normal organ(s) such that computing tumour control probabilities and normal tissue complication probabilities becomes possible for heterogeneous distributions of the radiolabelled antibody. Additionally, radiobiological consequences of depositing absorbed doses from exponentially decaying sources must be factored into the interpretation when trying to compute the effects of standard external beam isodose display patterns combined with those associated with RIT.</description><identifier>ISSN: 0031-9155</identifier><identifier>EISSN: 1361-6560</identifier><identifier>DOI: 10.1088/0031-9155/41/10/011</identifier><identifier>PMID: 8912377</identifier><language>eng</language><publisher>England: IOP Publishing</publisher><subject>Beta Particles ; Humans ; Monte Carlo Method ; Neoplasms - diagnostic imaging ; Neoplasms - radiotherapy ; Photons ; Radioimmunotherapy - methods ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted ; Software ; Tomography, Emission-Computed, Single-Photon</subject><ispartof>Physics in medicine & biology, 1996-10, Vol.41 (10), p.2009-2026</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c403t-d6811c90239033c309c880c8c679603de30e8fa41b52af87e80de184580312493</citedby><cites>FETCH-LOGICAL-c403t-d6811c90239033c309c880c8c679603de30e8fa41b52af87e80de184580312493</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/0031-9155/41/10/011/pdf$$EPDF$$P50$$Giop$$H</linktopdf><link.rule.ids>314,776,780,27903,27904,53809,53889</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/8912377$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Erdi, Alev K</creatorcontrib><creatorcontrib>Erdi, Yusuf E</creatorcontrib><creatorcontrib>Yorke, Ellen D</creatorcontrib><creatorcontrib>Wessels, Barry W</creatorcontrib><title>Treatment planning for radio-immunotherapy</title><title>Physics in medicine & biology</title><addtitle>Phys Med Biol</addtitle><description>To foster the success of clinical trials in radio-immunotherapy (RIT), one needs to determine (i) the quantity and spatial distribution of the administered radionuclide carrier in the patient over time, (ii) the absorbed dose in the tumour sites and critical organs based on this distribution and (iii) the volume of tumour mass(es) and normal organs from computerized tomography or magnetic resonance imaging and appropriately correlated with nuclear medicine imaging techniques (such as planar, single-photon emission computerized tomography or positron-emission tomography). Treatment planning for RIT has become an important tool in predicting the relative benefit of therapy based on individualized dosimetry as derived from diagnostic, pre-therapy administration of the radiolabelled antibody. This allows the investigator to pre-select those patients who have 'favorable' dosimetry characteristics (high time-averaged target: non-target ratios) so that the chances for treatment success may be more accurately quantified before placing the patient at risk for treatment-related organ toxicities. The future prospects for RIT treatment planning may yield a more accurate correlation of response and critical organ toxicity with computed absorbed dose, and the compilation of dose-volume histogram information for tumour(s) and normal organ(s) such that computing tumour control probabilities and normal tissue complication probabilities becomes possible for heterogeneous distributions of the radiolabelled antibody. Additionally, radiobiological consequences of depositing absorbed doses from exponentially decaying sources must be factored into the interpretation when trying to compute the effects of standard external beam isodose display patterns combined with those associated with RIT.</description><subject>Beta Particles</subject><subject>Humans</subject><subject>Monte Carlo Method</subject><subject>Neoplasms - diagnostic imaging</subject><subject>Neoplasms - radiotherapy</subject><subject>Photons</subject><subject>Radioimmunotherapy - methods</subject><subject>Radiotherapy Dosage</subject><subject>Radiotherapy Planning, Computer-Assisted</subject><subject>Software</subject><subject>Tomography, Emission-Computed, Single-Photon</subject><issn>0031-9155</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNj01Lw0AQhhdRaqz-AhFyLqSZyWyS2aMUv6DgpZ6X7WajkeaDTXrovzehpRc9eBqYeZ-XeYS4R1giMMcAhJHCNI0lxggxIF6IACnDKEszuBTBOXEtbvr-G8YEJ3ImZqwwoTwPxGLjnRlq1wxhtzNNUzWfYdn60JuiaqOqrvdNO3w5b7rDrbgqza53d6c5Fx_PT5vVa7R-f3lbPa4jK4GGqMgY0SpISAGRJVCWGSzbLFcZUOEIHJdG4jZNTMm5Yygcskx5fDaRiuaCjr3Wt33vXak7X9XGHzSCnsT1pKUnLS1xWo5aI_VwpLr9tnbFmTmZjvfl8V613T8LF7-BP4K6K0r6AVMYa_0</recordid><startdate>19961001</startdate><enddate>19961001</enddate><creator>Erdi, Alev K</creator><creator>Erdi, Yusuf E</creator><creator>Yorke, Ellen D</creator><creator>Wessels, Barry W</creator><general>IOP Publishing</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></search><sort><creationdate>19961001</creationdate><title>Treatment planning for radio-immunotherapy</title><author>Erdi, Alev K ; Erdi, Yusuf E ; Yorke, Ellen D ; Wessels, Barry W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c403t-d6811c90239033c309c880c8c679603de30e8fa41b52af87e80de184580312493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Beta Particles</topic><topic>Humans</topic><topic>Monte Carlo Method</topic><topic>Neoplasms - diagnostic imaging</topic><topic>Neoplasms - radiotherapy</topic><topic>Photons</topic><topic>Radioimmunotherapy - methods</topic><topic>Radiotherapy Dosage</topic><topic>Radiotherapy Planning, Computer-Assisted</topic><topic>Software</topic><topic>Tomography, Emission-Computed, Single-Photon</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Erdi, Alev K</creatorcontrib><creatorcontrib>Erdi, Yusuf E</creatorcontrib><creatorcontrib>Yorke, Ellen D</creatorcontrib><creatorcontrib>Wessels, Barry W</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>Physics in medicine & biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Erdi, Alev K</au><au>Erdi, Yusuf E</au><au>Yorke, Ellen D</au><au>Wessels, Barry W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Treatment planning for radio-immunotherapy</atitle><jtitle>Physics in medicine & biology</jtitle><addtitle>Phys Med Biol</addtitle><date>1996-10-01</date><risdate>1996</risdate><volume>41</volume><issue>10</issue><spage>2009</spage><epage>2026</epage><pages>2009-2026</pages><issn>0031-9155</issn><eissn>1361-6560</eissn><abstract>To foster the success of clinical trials in radio-immunotherapy (RIT), one needs to determine (i) the quantity and spatial distribution of the administered radionuclide carrier in the patient over time, (ii) the absorbed dose in the tumour sites and critical organs based on this distribution and (iii) the volume of tumour mass(es) and normal organs from computerized tomography or magnetic resonance imaging and appropriately correlated with nuclear medicine imaging techniques (such as planar, single-photon emission computerized tomography or positron-emission tomography). Treatment planning for RIT has become an important tool in predicting the relative benefit of therapy based on individualized dosimetry as derived from diagnostic, pre-therapy administration of the radiolabelled antibody. This allows the investigator to pre-select those patients who have 'favorable' dosimetry characteristics (high time-averaged target: non-target ratios) so that the chances for treatment success may be more accurately quantified before placing the patient at risk for treatment-related organ toxicities. The future prospects for RIT treatment planning may yield a more accurate correlation of response and critical organ toxicity with computed absorbed dose, and the compilation of dose-volume histogram information for tumour(s) and normal organ(s) such that computing tumour control probabilities and normal tissue complication probabilities becomes possible for heterogeneous distributions of the radiolabelled antibody. Additionally, radiobiological consequences of depositing absorbed doses from exponentially decaying sources must be factored into the interpretation when trying to compute the effects of standard external beam isodose display patterns combined with those associated with RIT.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>8912377</pmid><doi>10.1088/0031-9155/41/10/011</doi><tpages>18</tpages></addata></record> |
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subjects | Beta Particles Humans Monte Carlo Method Neoplasms - diagnostic imaging Neoplasms - radiotherapy Photons Radioimmunotherapy - methods Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted Software Tomography, Emission-Computed, Single-Photon |
title | Treatment planning for radio-immunotherapy |
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