Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy

• Verfasst von: Aumüller, Philipp [VerfasserIn]
• Verfasst von: Rothfuss, Andreas [VerfasserIn]
• Verfasst von: Polednik, Martin [VerfasserIn]
• Verfasst von: Abo-Madyan, Yasser [VerfasserIn]
• Verfasst von: Ehmann, Michael [VerfasserIn]
• Verfasst von: Giordano, Frank Anton [VerfasserIn]
• Verfasst von: Clausen, Sven [VerfasserIn]
• Titel: Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy
• Verf.angabe: Philipp Aumüller, Andreas Rothfuss, Martin Polednik, Yasser Abo-Madyan, Michael Ehmann, Frank A. Giordano, Sven Clausen
• E-Jahr: 2022
• Jahr: May 2022
• Umfang: 15 S.
• Illustrationen: Illustrationen
• Fussnoten: Online verfügbar: 7. August 2021, Artikelversion: 29. Mai 2022 ; Gesehen am 13.02.2024
• Titel Quelle: Enthalten in: Zeitschrift für medizinische Physik
• Ort Quelle: Amsterdam [u.a.] : Elsevier, 1990
• Jahr Quelle: 2022
• Band/Heft Quelle: 32(2022), 2 vom: Mai, Seite 173-187
• ISSN Quelle: 1876-4436
• DOI: doi:10.1016/j.zemedi.2021.06.003
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Errata: Aumüller, Philipp, 1989 - : Erratum to “Multiple direction needle-path planning and inverse dose optimization for robotic low-dose rate brachytherapy” [Z Med Phys 32 (2022) 173-187]
• Sach-SW: Brachytherapy
• Sach-SW: Inverse optimization
• Sach-SW: LDR
• Sach-SW: Path planning
• Sach-SW: Robotic
• Sach-SW: Seeds
• K10plus-PPN: 1880597012

Abstract

Purpose - Robotic systems to assist needle placements for low-dose rate brachytherapy enable conformal dose planning only restricted to path planning around risk structures. We report a treatment planning system (TPS) combining multiple direction needle-path planning with inverse dose optimization algorithms. - Methods - We investigated in a path planning algorithm to efficiently locate needle injection points reaching the target volume without puncturing risk structures. A candidate needle domain with all combinations of trajectories is used for the optimization process. We report a modular algorithm for inverse radiation plan optimization. The initial plan with V100>99% is generated by the “greedy optimizer”. The “remove-seed algorithm” reduces the number of seeds in the high dose regions. The “depth-optimizer” varies the insertion depth of the needles. The “coverage-optimizer” locates under-dosed areas in the target volume and supports them with an additional amount of seeds. The dose calculation algorithm is benchmarked on an image set of a phantom with a liver metastasis (prescription dose Dpr=100 Gy) and is re-planned in a commercial CE-marked TPS to compare the calculated dose grids using a global gamma analysis. The inverse optimizer is benchmarked by calculating 10 plans on the same phantom to investigate the stability and statistical variability of the dose parameters. - Results - The path planning algorithm efficiently removes 72.5% of all considered injection points. The candidate needle domain consists of combinations of 1971 tip points and 827 injection points. The global gamma analysis with gamma 1%=2.9 Gy, 1 mm showed a pass rate of 98.5%. The dose parameters were V100=99.1±0.3%, V150=76.4±2.5%, V200=44.5±5.5% and D90=125.9±3.6 Gy and 10.7±1.3 needles with 34.0±0.8 seeds were used. The median of the TPS total running time was 4.4minutes. - Conclusions - The TPS generates treatment plans with acceptable dose coverage in a reasonable amount of time. The gamma analysis shows good accordance to the commercial TPS. The TPS allows taking full advantage of robotic navigation tools to enable a new precise and safe method of minimally invasive low-dose-rate brachytherapy.