| Autor: |
Mueller, Marco, Poulsen, Per, Hansen, Rune, Verbakel, Wilko, Ferguson , Dianne, Roeske, John, Ren , Lei, Wang, Lei, Zhang, Pengpeng, Berbeco, Ross, Shinichiro, Mori, Keall, Paul |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Zdroj: |
Medical Physics. 49(2):1161-1180 |
| ISSN: |
0094-2405 |
| Popis: |
Introduction: Avoiding the risks and costs involved with the surgical insertion of radio-opaque fiducials, several commercial and academic markerless lung target tracking approaches have been developed to further improve patient safety during lung cancer stereotactic ablative body radiotherapy (SABR). However, these approaches had yet to be benchmarked using a common measurement methodology. This knowledge gap motivated the Markerless Lung Target Tracking Challenge (MATCH). Method: The MATCH was an American Association of Physicists in Medicine sponsored Grand Challenge in 2019/2020. It was the first to include physical experiments with the goal to compare current Markerless Lung Target Tracking methods and it is still a live challenge to provide a tool and benchmark to compare future methods. During the main part of the MATCH, the participants aimed to localize lung targets accurately and precisely with time in a retrospective in-silico study and prospective phantom experiments. Common to both parts were an anthropomorphic thorax phantom including three lung targets [1], and a lung SABR planning protocol [2]. The phantom was moved rigidly with patient-measured lung target motion traces, which also acted as ground truth. In the retrospective in-silico study a volumetric modulated arc therapy treatment was simulated and a dataset consisting of treatment planning data and intra-treatment kV- and MV-images for four motion traces was provided to the participants. In the prospective phantom experiments the participants used their own markerless tracking approach and workflow to localize the target during the dose delivery for five motion traces. Participant submissions were analyzed and ranked based on the percentage of the tracking error values being within 2mm of the ground truth. The challenge was open to any participant, and participants could complete either one or both parts of the challenge. Results: More than 20 institutions from four continents participated in the MATCH. The best percentage of the tracking error being within 2mm of the ground truth for the retrospective in-silico study was XX%, achieved by ZZ. Over all participants, the values ranged from AA% to BB%. The best percentage of the tracking error being within 2mm of the ground truth for the experimental phantom study was XX%, achieved by ZZ. Over all participants, the values ranged from AA% to BB%. All results for both parts delivered superior accuracy compared to no tracking. Conclusion: A common methodology for measuring the accuracy of markerless lung target tracking algorithms has been developed and used to benchmark academic and commercial approaches retrospectively and prospectively. The MATCH is still a live challenge, with datasets and analysis software being available online at LINK. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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