{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Mueller M"],"funding":["Calypso/Varian","Australian Government NHMRC Senior Principal Research Fellowship and Investigator Grant","NCI NIH HHS","National Cancer Institute of the National Institutes of Health","Cancer Institute NSW Translational Program Grant"],"pagination":["1161-1180"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8828678"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["49(2)"],"pubmed_abstract":["<h4>Purpose</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.<h4>Methods</h4>MATCH was an American Association of Physicists in Medicine sponsored Grand Challenge. Common materials for the in silico and experimental studies"],"journal":["Medical physics"],"pubmed_title":["The markerless lung target tracking AAPM Grand Challenge (MATCH) results."],"pmcid":["PMC8828678"],"funding_grant_id":["P30 CA008748","R01 CA188446","R01 CA207483","R01-CA207483"],"pubmed_authors":["Keall P","Hansen R","Ren L","Mueller M","Roeske JC","Ferguson D","Verbakel W","Berbeco R","Mori S","Poulsen P","Wang L","Zhang P"],"additional_accession":[]},"is_claimable":false,"name":"The markerless lung target tracking AAPM Grand Challenge (MATCH) results.","description":"<h4>Purpose</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.<h4>Methods</h4>MATCH was an American Association of Physicists in Medicine sponsored Grand Challenge. Common materials for the in silico and experimental studies","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Feb","modification":"2025-04-19T15:02:48.489Z","creation":"2025-04-19T15:02:48.489Z"},"accession":"S-EPMC8828678","cross_references":{"pubmed":["34913495"],"doi":["10.1002/mp.15418"]}}