Partial adaptation for online-adaptive proton therapy triggered by during-delivery treatment verification: Feasibility study on prostate cancer treatments

被引:0
作者
Gambetta, Virginia [1 ,2 ,3 ]
Pieta, Victoria [1 ,2 ,11 ]
Berthold, Jonathan [1 ,2 ,4 ,5 ]
Hoelscher, Tobias [1 ,2 ,6 ,7 ]
Fredriksson, Albin [8 ]
Richter, Christian [1 ,2 ,3 ,6 ,7 ,9 ,10 ]
Stuetzer, Kristin [1 ,2 ,3 ]
机构
[1] TUD Dresden Univ Technol, Fac Med, OncoRay Natl Ctr Radiat Res Oncol, Helmholtz Zentrum Dresden Rossendorf, Fetscherstr 74,PF 41, D-01307 Dresden, Germany
[2] TUD Dresden Univ Technol, Univ Hosp Carl Gustav Carus, Helmholtz Zentrum Dresden Rossendorf, Fetscherstr 74,PF 41, D-01307 Dresden, Germany
[3] Helmholtz Zentrum Dresden Rossendorf, Inst Radiooncol OncoRay, Bautzner Landstr 400, D-01328 Dresden, Germany
[4] Helmholtz Zentrum Dresden Rossendorf, CASUS Ctr Adv Syst Understanding, Untermarkt 20, D-02826 Gorlitz, Germany
[5] Helmholtz Zentrum Dresden Rossendorf, CASUS Ctr Adv Syst Understanding, Bautzner Landstr 400, D-01328 Dresden, Germany
[6] TUD Dresden Univ Technol, Fac Med, Dept Radiotherapy & Radiat Oncol, Fetscherstr 74, PF 50, D-01307 Dresden, Germany
[7] TUD Dresden Univ Technol, Univ Hosp Carl Gustav Carus, Fetscherstr 74,PF 50, D-01307 Dresden, Germany
[8] RaySearch Labs AB, Box 45169, SE-10430 Stockholm, Sweden
[9] German Canc Consortium DKTK, Partner Site Dresden, Neuenheimer Feld 280, D-69192 Heidelberg, Germany
[10] German Canc Res Ctr, Neuenheimer Feld 280, D-69192 Heidelberg, Germany
[11] Med 360 Rheinland GmbH, Marie Curie Str 12, D-51377 Leverkusen, Germany
来源
PHYSICS & IMAGING IN RADIATION ONCOLOGY | 2025年 / 34卷
关键词
Online-adaptive proton therapy; Treatment verification; Prompt gamma imaging; Partial adaptation; Verification-triggered online adaptation; Prostate cancer; VIVO RANGE VERIFICATION; CLINICAL-APPLICATION; SLIT-CAMERA; MOTION; PLANS; CT;
D O I
10.1016/j.phro.2025.100755
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background and Purpose: Online treatment verification during proton therapy delivery may detect deviations due to anatomical changes occurring along the treatment course and trigger immediate intervention, if necessary. We investigated the potential of partial plan adaptation in two-field prostate cancer treatments as a solution for online-adaptive proton therapy (OAPT) after the detection of relevant treatment deviations during the first field delivery. Materials and Methods: In a retrospective study, ten fractions from eight prostate cancer patients with prompt gamma imaging (PGI) detected treatment deviations, which were confirmed on respective in-room control computed tomography (cCT) scans, were considered. For each cCT, a dose-mimicking-based robust partial adaptation reoptimized the second field by considering the suboptimal dose delivery of the first non-adapted, PGI-monitored field. The results were compared to the non-adapted scenario and upfront full adaptation (both fields) in terms of achievable target coverage (prescription: 48 Gy/60 Gy to low-risk/high-risk target) and organ-at-risk (OAR) sparing. Results: Partially adapted plans showed comparable target coverage (median D98%: 99.9%/98.0% for low-/high-risk target) to fully adapted plans (100.3%/98.7%) and were superior to non-adapted plans (98.7%/94.5%). Achievable OAR sparing was patient-specific depending on the proximity to the target region, but within clinical goals for the partially and fully adapted plans. Conclusions: Partial adaptation triggered mid-delivery of a fraction can still generate plans of comparable conformity to full adaptation, even in the case of plans with only two, opposing fields. A verification-triggered OAPT may therefore become an alternative to upfront OAPT, saving time and imaging dose in fractions without relevant anatomy changes.
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页数:7
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