<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Mueller M</submitter><funding>Calypso/Varian</funding><funding>Australian Government NHMRC Senior Principal Research Fellowship and Investigator Grant</funding><funding>NCI NIH HHS</funding><funding>National Cancer Institute of the National Institutes of Health</funding><funding>Cancer Institute NSW Translational Program Grant</funding><pagination>1161-1180</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8828678</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>49(2)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Lung stereotactic ablative body radiotherapy (SABR) is a radiation therapy success story with level 1 evidence demonstrating its efficacy. To provide real-time respiratory motion management for lung SABR, several commercial and preclinical markerless lung target tracking (MLTT) approaches have been developed. However, these approaches have yet to be benchmarked using a common measurement methodology. This knowledge gap motivated the MArkerless lung target Tracking CHallenge (MATCH). The aim was to localize lung targets accurately and precisely in a retrospective in silico study and a prospective experimental study.&lt;h4>Methods&lt;/h4>MATCH was an American Association of Physicists in Medicine sponsored Grand Challenge. Common materials for the in silico and experimental studies</pubmed_abstract><journal>Medical physics</journal><pubmed_title>The markerless lung target tracking AAPM Grand Challenge (MATCH) results.</pubmed_title><pmcid>PMC8828678</pmcid><funding_grant_id>P30 CA008748</funding_grant_id><funding_grant_id>R01 CA188446</funding_grant_id><funding_grant_id>R01 CA207483</funding_grant_id><funding_grant_id>R01-CA207483</funding_grant_id><pubmed_authors>Keall P</pubmed_authors><pubmed_authors>Hansen R</pubmed_authors><pubmed_authors>Ren L</pubmed_authors><pubmed_authors>Mueller M</pubmed_authors><pubmed_authors>Roeske JC</pubmed_authors><pubmed_authors>Ferguson D</pubmed_authors><pubmed_authors>Verbakel W</pubmed_authors><pubmed_authors>Berbeco R</pubmed_authors><pubmed_authors>Mori S</pubmed_authors><pubmed_authors>Poulsen P</pubmed_authors><pubmed_authors>Wang L</pubmed_authors><pubmed_authors>Zhang P</pubmed_authors></additional><is_claimable>false</is_claimable><name>The markerless lung target tracking AAPM Grand Challenge (MATCH) results.</name><description>&lt;h4>Purpose&lt;/h4>Lung stereotactic ablative body radiotherapy (SABR) is a radiation therapy success story with level 1 evidence demonstrating its efficacy. To provide real-time respiratory motion management for lung SABR, several commercial and preclinical markerless lung target tracking (MLTT) approaches have been developed. However, these approaches have yet to be benchmarked using a common measurement methodology. This knowledge gap motivated the MArkerless lung target Tracking CHallenge (MATCH). The aim was to localize lung targets accurately and precisely in a retrospective in silico study and a prospective experimental study.&lt;h4>Methods&lt;/h4>MATCH was an American Association of Physicists in Medicine sponsored Grand Challenge. Common materials for the in silico and experimental studies</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Feb</publication><modification>2025-04-19T15:02:48.489Z</modification><creation>2025-04-19T15:02:48.489Z</creation></dates><accession>S-EPMC8828678</accession><cross_references><pubmed>34913495</pubmed><doi>10.1002/mp.15418</doi></cross_references></HashMap>