Target repositional accuracy and PTV margin verification using three‐dimensional cone‐beam computed tomography (CBCT) in stereotactic body radiotherapy (SBRT) of lung cancers
The purpose of this study was to assess target repositional accuracy with respect to the bony structures using daily CBCT, and to validate the planning target volume (PTV) margin used in the lung SBRT. All patients underwent 4D CT scanning in preparation for lung SBRT. The internal target volume (IT...
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description | The purpose of this study was to assess target repositional accuracy with respect to the bony structures using daily CBCT, and to validate the planning target volume (PTV) margin used in the lung SBRT. All patients underwent 4D CT scanning in preparation for lung SBRT. The internal target volume (ITV) was outlined from the reconstructed 4D data using the maximum‐intensity projection (MIP) algorithm. A 6 mm margin was added to the ITV to create the PTV. Conformal treatment planning was performed on the helical images, to which the MIP images were fused. Prior to each treatment, CBCT was taken after a patient was set up in the treatment position. The CBCT images were fused with the simulation CT based on the bony anatomy, in order to derive setup errors and separate them from the tumor repositional errors. The treating physician then checked and modified the alignment based on target relocalization within the PTV. The shifts determined in such a method were recorded and the subtractions of these shifts with respect to the corresponding setup errors were defined as the target relocalization accuracy. Our study of 36 consecutive patients, treating 38 targets for a total of 153 fractions shows that, after setup error correction, the target repositional accuracy followed a normal distribution with the mean values close to 0 in all directions, and standard deviations of 0.25 cm in A–P, 0.24 cm in Lat, and 0.28 cm in S–I directions, respectively. The probability of having the shifts ≥0.6cm is less than 0.8% in A–P, 0.6% in Lat, and 1.7 % in S‐I directions. For the patient population studied, the target centroid position relative to the bony structures changed minimally from day to day. This demonstrated that the PTV margin that is designed on the MIP image‐based ITV was adequate for lung SBRT.
PACS number: 87.53.Ly |
doi_str_mv | 10.1120/jacmp.v13i2.3708 |
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PACS number: 87.53.Ly</description><identifier>ISSN: 1526-9914</identifier><identifier>EISSN: 1526-9914</identifier><identifier>DOI: 10.1120/jacmp.v13i2.3708</identifier><identifier>PMID: 22402387</identifier><language>eng</language><publisher>United States: John Wiley & Sons, Inc</publisher><subject>Accuracy ; Algorithms ; Cancer therapies ; Cone-Beam Computed Tomography ; cone‐beam CT ; Four-Dimensional Computed Tomography ; Humans ; Lung cancer ; Lung Neoplasms - diagnostic imaging ; Lung Neoplasms - pathology ; Lung Neoplasms - surgery ; lung SBRT ; Patients ; Planning ; Radiation Oncology Physics ; Radiation therapy ; Radiosurgery ; Radiotherapy Planning, Computer-Assisted ; Respiration ; Standard deviation ; Studies ; target localization ; Tomography ; Tumors</subject><ispartof>Journal of applied clinical medical physics, 2012-03, Vol.13 (2), p.41-54</ispartof><rights>2012 The Authors.</rights><rights>2012. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6061-c3786791f1d0db98fa9d2144a4f6d0bcb880286f13b70c8fd0aae26d45c32ee23</citedby><cites>FETCH-LOGICAL-c6061-c3786791f1d0db98fa9d2144a4f6d0bcb880286f13b70c8fd0aae26d45c32ee23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716422/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716422/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,1411,11541,27901,27902,45550,45551,46027,46451,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22402387$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Feigenberg, Steven</creatorcontrib><creatorcontrib>Fan, Jiajin</creatorcontrib><creatorcontrib>Jin, Lihui</creatorcontrib><creatorcontrib>Turaka, Aruna</creatorcontrib><creatorcontrib>Chen, Lili</creatorcontrib><creatorcontrib>Ma, C‐M Charlie</creatorcontrib><title>Target repositional accuracy and PTV margin verification using three‐dimensional cone‐beam computed tomography (CBCT) in stereotactic body radiotherapy (SBRT) of lung cancers</title><title>Journal of applied clinical medical physics</title><addtitle>J Appl Clin Med Phys</addtitle><description>The purpose of this study was to assess target repositional accuracy with respect to the bony structures using daily CBCT, and to validate the planning target volume (PTV) margin used in the lung SBRT. All patients underwent 4D CT scanning in preparation for lung SBRT. The internal target volume (ITV) was outlined from the reconstructed 4D data using the maximum‐intensity projection (MIP) algorithm. A 6 mm margin was added to the ITV to create the PTV. Conformal treatment planning was performed on the helical images, to which the MIP images were fused. Prior to each treatment, CBCT was taken after a patient was set up in the treatment position. The CBCT images were fused with the simulation CT based on the bony anatomy, in order to derive setup errors and separate them from the tumor repositional errors. The treating physician then checked and modified the alignment based on target relocalization within the PTV. The shifts determined in such a method were recorded and the subtractions of these shifts with respect to the corresponding setup errors were defined as the target relocalization accuracy. Our study of 36 consecutive patients, treating 38 targets for a total of 153 fractions shows that, after setup error correction, the target repositional accuracy followed a normal distribution with the mean values close to 0 in all directions, and standard deviations of 0.25 cm in A–P, 0.24 cm in Lat, and 0.28 cm in S–I directions, respectively. The probability of having the shifts ≥0.6cm is less than 0.8% in A–P, 0.6% in Lat, and 1.7 % in S‐I directions. For the patient population studied, the target centroid position relative to the bony structures changed minimally from day to day. This demonstrated that the PTV margin that is designed on the MIP image‐based ITV was adequate for lung SBRT.
PACS number: 87.53.Ly</description><subject>Accuracy</subject><subject>Algorithms</subject><subject>Cancer therapies</subject><subject>Cone-Beam Computed Tomography</subject><subject>cone‐beam CT</subject><subject>Four-Dimensional Computed Tomography</subject><subject>Humans</subject><subject>Lung cancer</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Lung Neoplasms - pathology</subject><subject>Lung Neoplasms - surgery</subject><subject>lung SBRT</subject><subject>Patients</subject><subject>Planning</subject><subject>Radiation Oncology Physics</subject><subject>Radiation therapy</subject><subject>Radiosurgery</subject><subject>Radiotherapy Planning, Computer-Assisted</subject><subject>Respiration</subject><subject>Standard deviation</subject><subject>Studies</subject><subject>target localization</subject><subject>Tomography</subject><subject>Tumors</subject><issn>1526-9914</issn><issn>1526-9914</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFks2O0zAUhS0EYobCnhWyxAJYtNhOmjgbpJmIP2kQCApby7FvWleJHWynKDsegWfhkXgSnOkwGtiw8pX9nWP73oPQQ0pWlDLyfC9VP6wONDNslZWE30KndM2KZVXR_PaN-gTdC2FPCKU843fRCWM5YRkvT9HPjfRbiNjD4IKJxlnZYanU6KWasLQaf9h8wX2CjMUH8KY1Ss4YHoOxWxx3HuDX9x_a9GDDUa6cnbcakH2q-2GMoHF0vdt6Oewm_LQ-rzfPcDIMETy4KFU0CjdOT9hLbVzcQSIT-On8YwJdi7sx3aWkVeDDfXSnlV2AB1frAn1-9XJTv1levH_9tj67WKqCFHSpspIXZUVbqoluKt7KSjOa5zJvC00a1XBOGC9amjUlUbzVREpghc7XKmMALFugF0ffYWx60Aps9LITgzepHZNw0oi_T6zZia07iHVJi5zNBk-uDLz7OkKIojdBQddJC24MomJlwTkjeSIf_0Pu3ehTL4NgLA0wo-s0uQUiR0p5F4KH9votlIg5D-IyD-IyD2LOQ5I8uvmHa8GfACSgOALfTAfTfw3FWf2OEZLT7Dfo8coX</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Wang, Lu</creator><creator>Feigenberg, Steven</creator><creator>Fan, Jiajin</creator><creator>Jin, Lihui</creator><creator>Turaka, Aruna</creator><creator>Chen, Lili</creator><creator>Ma, C‐M Charlie</creator><general>John Wiley & Sons, Inc</general><general>John Wiley and Sons Inc</general><scope>24P</scope><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88I</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>M0S</scope><scope>M2P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201203</creationdate><title>Target repositional accuracy and PTV margin verification using three‐dimensional cone‐beam computed tomography (CBCT) in stereotactic body radiotherapy (SBRT) of lung cancers</title><author>Wang, Lu ; Feigenberg, Steven ; Fan, Jiajin ; Jin, Lihui ; Turaka, Aruna ; Chen, Lili ; Ma, C‐M Charlie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6061-c3786791f1d0db98fa9d2144a4f6d0bcb880286f13b70c8fd0aae26d45c32ee23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Accuracy</topic><topic>Algorithms</topic><topic>Cancer therapies</topic><topic>Cone-Beam Computed Tomography</topic><topic>cone‐beam CT</topic><topic>Four-Dimensional Computed Tomography</topic><topic>Humans</topic><topic>Lung cancer</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Lung Neoplasms - pathology</topic><topic>Lung Neoplasms - surgery</topic><topic>lung SBRT</topic><topic>Patients</topic><topic>Planning</topic><topic>Radiation Oncology Physics</topic><topic>Radiation therapy</topic><topic>Radiosurgery</topic><topic>Radiotherapy Planning, Computer-Assisted</topic><topic>Respiration</topic><topic>Standard deviation</topic><topic>Studies</topic><topic>target localization</topic><topic>Tomography</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Lu</creatorcontrib><creatorcontrib>Feigenberg, Steven</creatorcontrib><creatorcontrib>Fan, Jiajin</creatorcontrib><creatorcontrib>Jin, Lihui</creatorcontrib><creatorcontrib>Turaka, Aruna</creatorcontrib><creatorcontrib>Chen, Lili</creatorcontrib><creatorcontrib>Ma, C‐M Charlie</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Journal of applied clinical medical physics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Lu</au><au>Feigenberg, Steven</au><au>Fan, Jiajin</au><au>Jin, Lihui</au><au>Turaka, Aruna</au><au>Chen, Lili</au><au>Ma, C‐M Charlie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Target repositional accuracy and PTV margin verification using three‐dimensional cone‐beam computed tomography (CBCT) in stereotactic body radiotherapy (SBRT) of lung cancers</atitle><jtitle>Journal of applied clinical medical physics</jtitle><addtitle>J Appl Clin Med Phys</addtitle><date>2012-03</date><risdate>2012</risdate><volume>13</volume><issue>2</issue><spage>41</spage><epage>54</epage><pages>41-54</pages><issn>1526-9914</issn><eissn>1526-9914</eissn><abstract>The purpose of this study was to assess target repositional accuracy with respect to the bony structures using daily CBCT, and to validate the planning target volume (PTV) margin used in the lung SBRT. All patients underwent 4D CT scanning in preparation for lung SBRT. The internal target volume (ITV) was outlined from the reconstructed 4D data using the maximum‐intensity projection (MIP) algorithm. A 6 mm margin was added to the ITV to create the PTV. Conformal treatment planning was performed on the helical images, to which the MIP images were fused. Prior to each treatment, CBCT was taken after a patient was set up in the treatment position. The CBCT images were fused with the simulation CT based on the bony anatomy, in order to derive setup errors and separate them from the tumor repositional errors. The treating physician then checked and modified the alignment based on target relocalization within the PTV. The shifts determined in such a method were recorded and the subtractions of these shifts with respect to the corresponding setup errors were defined as the target relocalization accuracy. Our study of 36 consecutive patients, treating 38 targets for a total of 153 fractions shows that, after setup error correction, the target repositional accuracy followed a normal distribution with the mean values close to 0 in all directions, and standard deviations of 0.25 cm in A–P, 0.24 cm in Lat, and 0.28 cm in S–I directions, respectively. The probability of having the shifts ≥0.6cm is less than 0.8% in A–P, 0.6% in Lat, and 1.7 % in S‐I directions. For the patient population studied, the target centroid position relative to the bony structures changed minimally from day to day. This demonstrated that the PTV margin that is designed on the MIP image‐based ITV was adequate for lung SBRT.
PACS number: 87.53.Ly</abstract><cop>United States</cop><pub>John Wiley & Sons, Inc</pub><pmid>22402387</pmid><doi>10.1120/jacmp.v13i2.3708</doi><tpages>14</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Accuracy Algorithms Cancer therapies Cone-Beam Computed Tomography cone‐beam CT Four-Dimensional Computed Tomography Humans Lung cancer Lung Neoplasms - diagnostic imaging Lung Neoplasms - pathology Lung Neoplasms - surgery lung SBRT Patients Planning Radiation Oncology Physics Radiation therapy Radiosurgery Radiotherapy Planning, Computer-Assisted Respiration Standard deviation Studies target localization Tomography Tumors |
title | Target repositional accuracy and PTV margin verification using three‐dimensional cone‐beam computed tomography (CBCT) in stereotactic body radiotherapy (SBRT) of lung cancers |
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