CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy

To investigate the feasibility of using cone-beam computed tomography (CBCT)-derived synthetic CTs to monitor the daily dose and trigger a plan review for adaptive proton therapy (APT) in head and neck cancer (HNC) patients. For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-da...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Cancers 2023-07, Vol.15 (15), p.3881
Hauptverfasser: Reiners, Keaton, Dagan, Roi, Holtzman, Adam, Bryant, Curtis, Andersson, Sebastian, Nilsson, Rasmus, Hong, Liu, Johnson, Perry, Zhang, Yawei
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 15
container_start_page 3881
container_title Cancers
container_volume 15
creator Reiners, Keaton
Dagan, Roi
Holtzman, Adam
Bryant, Curtis
Andersson, Sebastian
Nilsson, Rasmus
Hong, Liu
Johnson, Perry
Zhang, Yawei
description To investigate the feasibility of using cone-beam computed tomography (CBCT)-derived synthetic CTs to monitor the daily dose and trigger a plan review for adaptive proton therapy (APT) in head and neck cancer (HNC) patients. For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-day CBCT and verification CT (vfCT) pairs were retrospectively collected. The ground truth CT (gtCT) was created by deforming the vfCT to the same-day CBCT, and it was then used as a dosimetric baseline and for establishing plan review trigger recommendations. Two different synthetic CT algorithms were tested; the corrected CBCT (corrCBCT) was created using an iterative image correction method and the virtual CT (virtCT) was created by deforming the planning CT to the CBCT, followed by a low-density masking process. Clinical treatment plans were recalculated on the image sets for evaluation. Plan review trigger criteria for adaptive therapy were established after closely reviewing the cohort data. Compared to the vfCT, the corrCBCT and virtCT reliably produced dosimetric data more similar to the gtCT. The average discrepancy in D99 for high-risk clinical target volumes (CTV) was 1.1%, 0.7%, and 0.4% and for standard-risk CTVs was 1.8%, 0.5%, and 0.5% for the vfCT, corrCBCT, and virtCT, respectively. Streamlined APT has been achieved with the proposed plan review criteria and CBCT-based synthetic CT workflow.
doi_str_mv 10.3390/cancers15153881
format Article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10417147</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A760514205</galeid><sourcerecordid>A760514205</sourcerecordid><originalsourceid>FETCH-LOGICAL-c489t-219c40be019afb342061e32bf1c89e6ecdbe7258982e0b4bf9472da0bf430343</originalsourceid><addsrcrecordid>eNptkk1v1DAQhi0EolXpmRuyxIVLWn_Fjk9od_koUoGVyBVZjjNJXbL21s5W6r_HS0tpK-yDR-Nn3vFrDUKvKTnhXJNTZ4ODlGlNa9409Bk6ZESxSkotnj-ID9BxzpekLM6pkuolOuCqlo3U6hD9XC1XbbW0GXr8IWbAX2Pwc0w-jNiGHi96u539NeD1ZEPYZ9vkx7G0xT7gM7D9H-wbuF94vfyB1ynOMeD2ApLd3rxCLwY7ZTi-O49Q--ljuzqrzr9__rJanFdONHquGNVOkA4I1XbouGBEUuCsG6hrNEhwfQeK1Y1uGJBOdIMWivWWdIPghAt-hN7fym533QZ6B2FOdjLb5Dc23ZhovXl8E_yFGeO1oURQRYUqCu_uFFK82kGezcZnB1MxDXGXDWtqwmmjJC_o2yfoZdylUOwVSuzfSAj7R412AuPDEEtjtxc1CyVJTYvJulAn_6HK7mHjXQww-JJ_VHB6W-BSzDnBcG-SErMfCvNkKErFm4d_c8__HQH-Gw_xsQI</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2848982002</pqid></control><display><type>article</type><title>CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy</title><source>PubMed Central Open Access</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Reiners, Keaton ; Dagan, Roi ; Holtzman, Adam ; Bryant, Curtis ; Andersson, Sebastian ; Nilsson, Rasmus ; Hong, Liu ; Johnson, Perry ; Zhang, Yawei</creator><creatorcontrib>Reiners, Keaton ; Dagan, Roi ; Holtzman, Adam ; Bryant, Curtis ; Andersson, Sebastian ; Nilsson, Rasmus ; Hong, Liu ; Johnson, Perry ; Zhang, Yawei</creatorcontrib><description>To investigate the feasibility of using cone-beam computed tomography (CBCT)-derived synthetic CTs to monitor the daily dose and trigger a plan review for adaptive proton therapy (APT) in head and neck cancer (HNC) patients. For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-day CBCT and verification CT (vfCT) pairs were retrospectively collected. The ground truth CT (gtCT) was created by deforming the vfCT to the same-day CBCT, and it was then used as a dosimetric baseline and for establishing plan review trigger recommendations. Two different synthetic CT algorithms were tested; the corrected CBCT (corrCBCT) was created using an iterative image correction method and the virtual CT (virtCT) was created by deforming the planning CT to the CBCT, followed by a low-density masking process. Clinical treatment plans were recalculated on the image sets for evaluation. Plan review trigger criteria for adaptive therapy were established after closely reviewing the cohort data. Compared to the vfCT, the corrCBCT and virtCT reliably produced dosimetric data more similar to the gtCT. The average discrepancy in D99 for high-risk clinical target volumes (CTV) was 1.1%, 0.7%, and 0.4% and for standard-risk CTVs was 1.8%, 0.5%, and 0.5% for the vfCT, corrCBCT, and virtCT, respectively. Streamlined APT has been achieved with the proposed plan review criteria and CBCT-based synthetic CT workflow.</description><identifier>ISSN: 2072-6694</identifier><identifier>EISSN: 2072-6694</identifier><identifier>DOI: 10.3390/cancers15153881</identifier><identifier>PMID: 37568697</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Algorithms ; Anatomy ; Cancer ; Cancer therapies ; Care and treatment ; Clinical medicine ; Computed tomography ; Computer software industry ; CT imaging ; Dosimetry ; Head &amp; neck cancer ; Patients ; Photons ; Physicists ; Planning ; Protons ; Radiation ; Radiation therapy ; Radiotherapy ; Tomography</subject><ispartof>Cancers, 2023-07, Vol.15 (15), p.3881</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c489t-219c40be019afb342061e32bf1c89e6ecdbe7258982e0b4bf9472da0bf430343</citedby><cites>FETCH-LOGICAL-c489t-219c40be019afb342061e32bf1c89e6ecdbe7258982e0b4bf9472da0bf430343</cites><orcidid>0000-0002-6750-4356 ; 0000-0001-6436-264X ; 0000-0002-1412-7155</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417147/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417147/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,882,27905,27906,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37568697$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Reiners, Keaton</creatorcontrib><creatorcontrib>Dagan, Roi</creatorcontrib><creatorcontrib>Holtzman, Adam</creatorcontrib><creatorcontrib>Bryant, Curtis</creatorcontrib><creatorcontrib>Andersson, Sebastian</creatorcontrib><creatorcontrib>Nilsson, Rasmus</creatorcontrib><creatorcontrib>Hong, Liu</creatorcontrib><creatorcontrib>Johnson, Perry</creatorcontrib><creatorcontrib>Zhang, Yawei</creatorcontrib><title>CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy</title><title>Cancers</title><addtitle>Cancers (Basel)</addtitle><description>To investigate the feasibility of using cone-beam computed tomography (CBCT)-derived synthetic CTs to monitor the daily dose and trigger a plan review for adaptive proton therapy (APT) in head and neck cancer (HNC) patients. For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-day CBCT and verification CT (vfCT) pairs were retrospectively collected. The ground truth CT (gtCT) was created by deforming the vfCT to the same-day CBCT, and it was then used as a dosimetric baseline and for establishing plan review trigger recommendations. Two different synthetic CT algorithms were tested; the corrected CBCT (corrCBCT) was created using an iterative image correction method and the virtual CT (virtCT) was created by deforming the planning CT to the CBCT, followed by a low-density masking process. Clinical treatment plans were recalculated on the image sets for evaluation. Plan review trigger criteria for adaptive therapy were established after closely reviewing the cohort data. Compared to the vfCT, the corrCBCT and virtCT reliably produced dosimetric data more similar to the gtCT. The average discrepancy in D99 for high-risk clinical target volumes (CTV) was 1.1%, 0.7%, and 0.4% and for standard-risk CTVs was 1.8%, 0.5%, and 0.5% for the vfCT, corrCBCT, and virtCT, respectively. Streamlined APT has been achieved with the proposed plan review criteria and CBCT-based synthetic CT workflow.</description><subject>Algorithms</subject><subject>Anatomy</subject><subject>Cancer</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Clinical medicine</subject><subject>Computed tomography</subject><subject>Computer software industry</subject><subject>CT imaging</subject><subject>Dosimetry</subject><subject>Head &amp; neck cancer</subject><subject>Patients</subject><subject>Photons</subject><subject>Physicists</subject><subject>Planning</subject><subject>Protons</subject><subject>Radiation</subject><subject>Radiation therapy</subject><subject>Radiotherapy</subject><subject>Tomography</subject><issn>2072-6694</issn><issn>2072-6694</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkk1v1DAQhi0EolXpmRuyxIVLWn_Fjk9od_koUoGVyBVZjjNJXbL21s5W6r_HS0tpK-yDR-Nn3vFrDUKvKTnhXJNTZ4ODlGlNa9409Bk6ZESxSkotnj-ID9BxzpekLM6pkuolOuCqlo3U6hD9XC1XbbW0GXr8IWbAX2Pwc0w-jNiGHi96u539NeD1ZEPYZ9vkx7G0xT7gM7D9H-wbuF94vfyB1ynOMeD2ApLd3rxCLwY7ZTi-O49Q--ljuzqrzr9__rJanFdONHquGNVOkA4I1XbouGBEUuCsG6hrNEhwfQeK1Y1uGJBOdIMWivWWdIPghAt-hN7fym533QZ6B2FOdjLb5Dc23ZhovXl8E_yFGeO1oURQRYUqCu_uFFK82kGezcZnB1MxDXGXDWtqwmmjJC_o2yfoZdylUOwVSuzfSAj7R412AuPDEEtjtxc1CyVJTYvJulAn_6HK7mHjXQww-JJ_VHB6W-BSzDnBcG-SErMfCvNkKErFm4d_c8__HQH-Gw_xsQI</recordid><startdate>20230730</startdate><enddate>20230730</enddate><creator>Reiners, Keaton</creator><creator>Dagan, Roi</creator><creator>Holtzman, Adam</creator><creator>Bryant, Curtis</creator><creator>Andersson, Sebastian</creator><creator>Nilsson, Rasmus</creator><creator>Hong, Liu</creator><creator>Johnson, Perry</creator><creator>Zhang, Yawei</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7T5</scope><scope>7TO</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H94</scope><scope>HCIFZ</scope><scope>LK8</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-6750-4356</orcidid><orcidid>https://orcid.org/0000-0001-6436-264X</orcidid><orcidid>https://orcid.org/0000-0002-1412-7155</orcidid></search><sort><creationdate>20230730</creationdate><title>CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy</title><author>Reiners, Keaton ; Dagan, Roi ; Holtzman, Adam ; Bryant, Curtis ; Andersson, Sebastian ; Nilsson, Rasmus ; Hong, Liu ; Johnson, Perry ; Zhang, Yawei</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c489t-219c40be019afb342061e32bf1c89e6ecdbe7258982e0b4bf9472da0bf430343</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Anatomy</topic><topic>Cancer</topic><topic>Cancer therapies</topic><topic>Care and treatment</topic><topic>Clinical medicine</topic><topic>Computed tomography</topic><topic>Computer software industry</topic><topic>CT imaging</topic><topic>Dosimetry</topic><topic>Head &amp; neck cancer</topic><topic>Patients</topic><topic>Photons</topic><topic>Physicists</topic><topic>Planning</topic><topic>Protons</topic><topic>Radiation</topic><topic>Radiation therapy</topic><topic>Radiotherapy</topic><topic>Tomography</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Reiners, Keaton</creatorcontrib><creatorcontrib>Dagan, Roi</creatorcontrib><creatorcontrib>Holtzman, Adam</creatorcontrib><creatorcontrib>Bryant, Curtis</creatorcontrib><creatorcontrib>Andersson, Sebastian</creatorcontrib><creatorcontrib>Nilsson, Rasmus</creatorcontrib><creatorcontrib>Hong, Liu</creatorcontrib><creatorcontrib>Johnson, Perry</creatorcontrib><creatorcontrib>Zhang, Yawei</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Immunology Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</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 Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Cancers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Reiners, Keaton</au><au>Dagan, Roi</au><au>Holtzman, Adam</au><au>Bryant, Curtis</au><au>Andersson, Sebastian</au><au>Nilsson, Rasmus</au><au>Hong, Liu</au><au>Johnson, Perry</au><au>Zhang, Yawei</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy</atitle><jtitle>Cancers</jtitle><addtitle>Cancers (Basel)</addtitle><date>2023-07-30</date><risdate>2023</risdate><volume>15</volume><issue>15</issue><spage>3881</spage><pages>3881-</pages><issn>2072-6694</issn><eissn>2072-6694</eissn><abstract>To investigate the feasibility of using cone-beam computed tomography (CBCT)-derived synthetic CTs to monitor the daily dose and trigger a plan review for adaptive proton therapy (APT) in head and neck cancer (HNC) patients. For 84 HNC patients treated with proton pencil-beam scanning (PBS), same-day CBCT and verification CT (vfCT) pairs were retrospectively collected. The ground truth CT (gtCT) was created by deforming the vfCT to the same-day CBCT, and it was then used as a dosimetric baseline and for establishing plan review trigger recommendations. Two different synthetic CT algorithms were tested; the corrected CBCT (corrCBCT) was created using an iterative image correction method and the virtual CT (virtCT) was created by deforming the planning CT to the CBCT, followed by a low-density masking process. Clinical treatment plans were recalculated on the image sets for evaluation. Plan review trigger criteria for adaptive therapy were established after closely reviewing the cohort data. Compared to the vfCT, the corrCBCT and virtCT reliably produced dosimetric data more similar to the gtCT. The average discrepancy in D99 for high-risk clinical target volumes (CTV) was 1.1%, 0.7%, and 0.4% and for standard-risk CTVs was 1.8%, 0.5%, and 0.5% for the vfCT, corrCBCT, and virtCT, respectively. Streamlined APT has been achieved with the proposed plan review criteria and CBCT-based synthetic CT workflow.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37568697</pmid><doi>10.3390/cancers15153881</doi><orcidid>https://orcid.org/0000-0002-6750-4356</orcidid><orcidid>https://orcid.org/0000-0001-6436-264X</orcidid><orcidid>https://orcid.org/0000-0002-1412-7155</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2072-6694
ispartof Cancers, 2023-07, Vol.15 (15), p.3881
issn 2072-6694
2072-6694
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10417147
source PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Algorithms
Anatomy
Cancer
Cancer therapies
Care and treatment
Clinical medicine
Computed tomography
Computer software industry
CT imaging
Dosimetry
Head & neck cancer
Patients
Photons
Physicists
Planning
Protons
Radiation
Radiation therapy
Radiotherapy
Tomography
title CBCT-Based Dose Monitoring and Adaptive Planning Triggers in Head and Neck PBS Proton Therapy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T20%3A49%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=CBCT-Based%20Dose%20Monitoring%20and%20Adaptive%20Planning%20Triggers%20in%20Head%20and%20Neck%20PBS%20Proton%20Therapy&rft.jtitle=Cancers&rft.au=Reiners,%20Keaton&rft.date=2023-07-30&rft.volume=15&rft.issue=15&rft.spage=3881&rft.pages=3881-&rft.issn=2072-6694&rft.eissn=2072-6694&rft_id=info:doi/10.3390/cancers15153881&rft_dat=%3Cgale_pubme%3EA760514205%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2848982002&rft_id=info:pmid/37568697&rft_galeid=A760514205&rfr_iscdi=true