Online adaptive planning methods for intensity-modulated radiotherapy

Online adaptive planning methods for intensity-modulated radiotherapy

Online adaptive radiation therapy aims at adapting a patient's treatment plan to their current anatomy to account for inter-fraction variations before daily treatment delivery. As this process needs to be accomplished while the patient is immobilized on the treatment couch, it requires time-eff...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Physics in medicine & biology 2023-05, Vol.68 (10), p.10
Hauptverfasser: Qiu, Zihang, Olberg, Sven, den Hertog, Dick, Ajdari, Ali, Bortfeld, Thomas, Pursley, Jennifer
Format: Artikel
Sprache:eng
Schlagworte:
Artificial Intelligence
Humans
IMPT
IMRT
online adaptive radiation therapy
online adaptive treatment planning
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted - methods
Radiotherapy, Intensity-Modulated - methods
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 10
container_start_page 10
container_title Physics in medicine & biology
container_volume 68
creator Qiu, Zihang
Olberg, Sven
den Hertog, Dick
Ajdari, Ali
Bortfeld, Thomas
Pursley, Jennifer
description Online adaptive radiation therapy aims at adapting a patient's treatment plan to their current anatomy to account for inter-fraction variations before daily treatment delivery. As this process needs to be accomplished while the patient is immobilized on the treatment couch, it requires time-efficient adaptive planning methods to generate a quality daily treatment plan rapidly. The conventional planning methods do not meet the time requirement of online adaptive radiation therapy because they often involve excessive human intervention, significantly prolonging the planning phase. This article reviews the planning strategies employed by current commercial online adaptive radiation therapy systems, research on online adaptive planning, and artificial intelligence's potential application to online adaptive planning.
doi_str_mv 10.1088/1361-6560/accdb2
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_2802884119</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2802884119</sourcerecordid><originalsourceid>FETCH-LOGICAL-c411t-27a76813183df49a72f10103579fab26730a99a1786c9710a5a8b53076fdf00e3</originalsourceid><addsrcrecordid>eNp1kM9LwzAUx4Mobk7vnqRHD1bfa9YkPcqYP0AQZJ5D2iSa0TY1aYX993ZM50VPDx7fH-99CDlHuEYQ4gYpw5TlDG5UVekyOyDT_eqQTAEopgXm-YScxLgGQBTZ_JhMKAcm5kJMyfK5rV1rEqVV17tPk3S1alvXviWN6d-9jon1IXFtb9ro-k3aeD3Uqjc6CUo737-boLrNKTmyqo7m7HvOyOvdcrV4SJ-e7x8Xt09pNUfs04wrzgRSFFTbeaF4ZhEQaM4Lq8qMcQqqKBRywaqCI6hciTKnwJnVFsDQGbnc5XbBfwwm9rJxsTL1eLPxQ5SZgEyIsasYpbCTVsHHGIyVXXCNChuJILfw5JaU3JKSO3ij5eI7fSgbo_eGH1q_9c53cu2H0I7Pyq4pJRO72NULoOy0HaVXf0j_rf4CtsKGSg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2802884119</pqid></control><display><type>article</type><title>Online adaptive planning methods for intensity-modulated radiotherapy</title><source>MEDLINE</source><source>IOP Publishing Journals</source><source>Institute of Physics (IOP) Journals - HEAL-Link</source><creator>Qiu, Zihang ; Olberg, Sven ; den Hertog, Dick ; Ajdari, Ali ; Bortfeld, Thomas ; Pursley, Jennifer</creator><creatorcontrib>Qiu, Zihang ; Olberg, Sven ; den Hertog, Dick ; Ajdari, Ali ; Bortfeld, Thomas ; Pursley, Jennifer</creatorcontrib><description>Online adaptive radiation therapy aims at adapting a patient's treatment plan to their current anatomy to account for inter-fraction variations before daily treatment delivery. As this process needs to be accomplished while the patient is immobilized on the treatment couch, it requires time-efficient adaptive planning methods to generate a quality daily treatment plan rapidly. The conventional planning methods do not meet the time requirement of online adaptive radiation therapy because they often involve excessive human intervention, significantly prolonging the planning phase. This article reviews the planning strategies employed by current commercial online adaptive radiation therapy systems, research on online adaptive planning, and artificial intelligence's potential application to online adaptive planning.</description><identifier>ISSN: 0031-9155</identifier><identifier>EISSN: 1361-6560</identifier><identifier>DOI: 10.1088/1361-6560/accdb2</identifier><identifier>PMID: 37068488</identifier><identifier>CODEN: PHMBA7</identifier><language>eng</language><publisher>England: IOP Publishing</publisher><subject>Artificial Intelligence ; Humans ; IMPT ; IMRT ; online adaptive radiation therapy ; online adaptive treatment planning ; Radiotherapy Dosage ; Radiotherapy Planning, Computer-Assisted - methods ; Radiotherapy, Intensity-Modulated - methods</subject><ispartof>Physics in medicine &amp; biology, 2023-05, Vol.68 (10), p.10</ispartof><rights>2023 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd</rights><rights>Creative Commons Attribution license.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c411t-27a76813183df49a72f10103579fab26730a99a1786c9710a5a8b53076fdf00e3</citedby><cites>FETCH-LOGICAL-c411t-27a76813183df49a72f10103579fab26730a99a1786c9710a5a8b53076fdf00e3</cites><orcidid>0000-0003-1700-7519 ; 0000-0002-0171-6989</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1361-6560/accdb2/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,780,784,27923,27924,53845,53892</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37068488$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Qiu, Zihang</creatorcontrib><creatorcontrib>Olberg, Sven</creatorcontrib><creatorcontrib>den Hertog, Dick</creatorcontrib><creatorcontrib>Ajdari, Ali</creatorcontrib><creatorcontrib>Bortfeld, Thomas</creatorcontrib><creatorcontrib>Pursley, Jennifer</creatorcontrib><title>Online adaptive planning methods for intensity-modulated radiotherapy</title><title>Physics in medicine &amp; biology</title><addtitle>PMB</addtitle><addtitle>Phys. Med. Biol</addtitle><description>Online adaptive radiation therapy aims at adapting a patient's treatment plan to their current anatomy to account for inter-fraction variations before daily treatment delivery. As this process needs to be accomplished while the patient is immobilized on the treatment couch, it requires time-efficient adaptive planning methods to generate a quality daily treatment plan rapidly. The conventional planning methods do not meet the time requirement of online adaptive radiation therapy because they often involve excessive human intervention, significantly prolonging the planning phase. This article reviews the planning strategies employed by current commercial online adaptive radiation therapy systems, research on online adaptive planning, and artificial intelligence's potential application to online adaptive planning.</description><subject>Artificial Intelligence</subject><subject>Humans</subject><subject>IMPT</subject><subject>IMRT</subject><subject>online adaptive radiation therapy</subject><subject>online adaptive treatment planning</subject><subject>Radiotherapy Dosage</subject><subject>Radiotherapy Planning, Computer-Assisted - methods</subject><subject>Radiotherapy, Intensity-Modulated - methods</subject><issn>0031-9155</issn><issn>1361-6560</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>EIF</sourceid><recordid>eNp1kM9LwzAUx4Mobk7vnqRHD1bfa9YkPcqYP0AQZJ5D2iSa0TY1aYX993ZM50VPDx7fH-99CDlHuEYQ4gYpw5TlDG5UVekyOyDT_eqQTAEopgXm-YScxLgGQBTZ_JhMKAcm5kJMyfK5rV1rEqVV17tPk3S1alvXviWN6d-9jon1IXFtb9ro-k3aeD3Uqjc6CUo737-boLrNKTmyqo7m7HvOyOvdcrV4SJ-e7x8Xt09pNUfs04wrzgRSFFTbeaF4ZhEQaM4Lq8qMcQqqKBRywaqCI6hciTKnwJnVFsDQGbnc5XbBfwwm9rJxsTL1eLPxQ5SZgEyIsasYpbCTVsHHGIyVXXCNChuJILfw5JaU3JKSO3ij5eI7fSgbo_eGH1q_9c53cu2H0I7Pyq4pJRO72NULoOy0HaVXf0j_rf4CtsKGSg</recordid><startdate>20230521</startdate><enddate>20230521</enddate><creator>Qiu, Zihang</creator><creator>Olberg, Sven</creator><creator>den Hertog, Dick</creator><creator>Ajdari, Ali</creator><creator>Bortfeld, Thomas</creator><creator>Pursley, Jennifer</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</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>7X8</scope><orcidid>https://orcid.org/0000-0003-1700-7519</orcidid><orcidid>https://orcid.org/0000-0002-0171-6989</orcidid></search><sort><creationdate>20230521</creationdate><title>Online adaptive planning methods for intensity-modulated radiotherapy</title><author>Qiu, Zihang ; Olberg, Sven ; den Hertog, Dick ; Ajdari, Ali ; Bortfeld, Thomas ; Pursley, Jennifer</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c411t-27a76813183df49a72f10103579fab26730a99a1786c9710a5a8b53076fdf00e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Artificial Intelligence</topic><topic>Humans</topic><topic>IMPT</topic><topic>IMRT</topic><topic>online adaptive radiation therapy</topic><topic>online adaptive treatment planning</topic><topic>Radiotherapy Dosage</topic><topic>Radiotherapy Planning, Computer-Assisted - methods</topic><topic>Radiotherapy, Intensity-Modulated - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Qiu, Zihang</creatorcontrib><creatorcontrib>Olberg, Sven</creatorcontrib><creatorcontrib>den Hertog, Dick</creatorcontrib><creatorcontrib>Ajdari, Ali</creatorcontrib><creatorcontrib>Bortfeld, Thomas</creatorcontrib><creatorcontrib>Pursley, Jennifer</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (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>MEDLINE - Academic</collection><jtitle>Physics in medicine &amp; biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Qiu, Zihang</au><au>Olberg, Sven</au><au>den Hertog, Dick</au><au>Ajdari, Ali</au><au>Bortfeld, Thomas</au><au>Pursley, Jennifer</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Online adaptive planning methods for intensity-modulated radiotherapy</atitle><jtitle>Physics in medicine &amp; biology</jtitle><stitle>PMB</stitle><addtitle>Phys. Med. Biol</addtitle><date>2023-05-21</date><risdate>2023</risdate><volume>68</volume><issue>10</issue><spage>10</spage><pages>10-</pages><issn>0031-9155</issn><eissn>1361-6560</eissn><coden>PHMBA7</coden><abstract>Online adaptive radiation therapy aims at adapting a patient's treatment plan to their current anatomy to account for inter-fraction variations before daily treatment delivery. As this process needs to be accomplished while the patient is immobilized on the treatment couch, it requires time-efficient adaptive planning methods to generate a quality daily treatment plan rapidly. The conventional planning methods do not meet the time requirement of online adaptive radiation therapy because they often involve excessive human intervention, significantly prolonging the planning phase. This article reviews the planning strategies employed by current commercial online adaptive radiation therapy systems, research on online adaptive planning, and artificial intelligence's potential application to online adaptive planning.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>37068488</pmid><doi>10.1088/1361-6560/accdb2</doi><tpages>24</tpages><orcidid>https://orcid.org/0000-0003-1700-7519</orcidid><orcidid>https://orcid.org/0000-0002-0171-6989</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0031-9155
ispartof Physics in medicine & biology, 2023-05, Vol.68 (10), p.10
issn 0031-9155
1361-6560
language eng
recordid cdi_proquest_miscellaneous_2802884119
source MEDLINE; IOP Publishing Journals; Institute of Physics (IOP) Journals - HEAL-Link
subjects Artificial Intelligence
Humans
IMPT
IMRT
online adaptive radiation therapy
online adaptive treatment planning
Radiotherapy Dosage
Radiotherapy Planning, Computer-Assisted - methods
Radiotherapy, Intensity-Modulated - methods
title Online adaptive planning methods for intensity-modulated radiotherapy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T13%3A05%3A11IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Online%20adaptive%20planning%20methods%20for%20intensity-modulated%20radiotherapy&rft.jtitle=Physics%20in%20medicine%20&%20biology&rft.au=Qiu,%20Zihang&rft.date=2023-05-21&rft.volume=68&rft.issue=10&rft.spage=10&rft.pages=10-&rft.issn=0031-9155&rft.eissn=1361-6560&rft.coden=PHMBA7&rft_id=info:doi/10.1088/1361-6560/accdb2&rft_dat=%3Cproquest_pubme%3E2802884119%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2802884119&rft_id=info:pmid/37068488&rfr_iscdi=true