Potential margin reduction in prostate cancer proton therapy with prompt gamma imaging for online treatment verification

Bertschi, Stefanie; Stützer, Kristin; Berthold, Jonathan; Pietsch, Julian; Smeets, J.; Janssens, Guillaume; Richter, Christian

doi:10.1016/j.phro.2023.100447

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…However, also the field of PT shows broad interest in implementing more online or hybrid approaches, especially including daily replanning and employing plan libraries [8] , [22] , [126] , [127] , [128] . Recently, several key players in the field of real-time adaptive PT joined forces [129] to tackle the remaining challenges and pave the way towards online adaptation in PT [130] , [131] , [132] , [133] , [134] , [135] , [136] . These challenges include aspects of dose accumulation, contour propagation, daily plan re-optimisation and approval as well as quality assurance of the online adaptive treatments [137] , [138] .…”

Section: Technological Capabilities For Motion Managementmentioning

confidence: 99%

A review of the clinical introduction of 4D particle therapy research concepts

Knäusl,

Belotti,

Bertholet

et al. 2024

Physics and Imaging in Radiation Oncology

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Section: Technological Capabilities For Motion Managementmentioning

confidence: 99%

A review of the clinical introduction of 4D particle therapy research concepts

Knäusl,

Belotti,

Bertholet

et al. 2024

Physics and Imaging in Radiation Oncology

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“…Some studies have investigated the accuracy of PG range verification on individual spot, and the uncertainty can originate from the spot projected position in the camera field-of-view (FOV) (Khamfongkhruea et al 2020, Tian et al 2021, distorted dose distribution in the patient anatomy (Khamfongkhruea et al 2020, Tian et al 2020, and dose-PG correlation (Tian et al 2018). Despite the uncertainties, PG imaging has assisted in patient anatomical change detection (Berthold et al 2023) and clinical safety margin reduction (Bertschi et al 2023).…”

Section: Introductionmentioning

confidence: 99%

An experimental validation of a filtering approach for prompt gamma prediction in a research proton treatment planning system

Huang,

Tian,

Janssens

et al. 2024

Phys. Med. Biol.

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Prompt gamma (PG) radiation generated from nuclear reactions between protons and tissue nuclei can be employed for range verification in proton therapy. A typical clinical workflow for prompt gamma range verification compares the detected prompt gamma profile with a predicted one. Recently, a novel analytical prompt gamma prediction algorithm based on the so-called filtering formalism has been proposed and implemented in a research version of RayStation (RaySearch Laboratories AB), which is a widely adopted treatment planning system. In this work, the said algorithm is validated against experimental data and benchmarked with another well-established prompt gamma prediction algorithm implemented in a MATLAB-based software REGGUI. Furthermore, a new workflow based on several PG profile quality criteria and analytical methods is proposed for data selection. The workflow also calculates sensitivity and specificity information, which can help practitioners to decide on irradiation course interruption during treatment and monitor spot selection at the treatment planning stage. With the proposed workflow, the comparison can be performed on a limited number of selected high-quality irradiation spots without neighbouring-spot aggregation. The mean shifts between the experimental data and the simulated PG detection (PGD) profiles (ΔPGD) by the two algorithms are estimated to be 1.5~2.1 mm and -0.6~2.2 mm for the filtering and REGGUI prediction methods, respectively. The ΔPGD difference between two algorithms is observed to be consistent with the beam model difference within uncertainty. However, the filtering approach requires a much shorter computation time compared to the REGGUI approach.

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“…In the APT survey paper, Trnkova et al [15] reported that 84% of the operating centres performed some form of adaptation, mostly offline as also reported in recent literature [25] , [26] , [27] . Only two centres (3%) performed online APT by applying a plan-library approach, and no centre performed online daily re-planning, although the methods to perform and trigger online APT are currently being investigated [28] , [29] , [30] , [31] . Plan adaptation was most frequently needed for head-and-neck cancer patients, followed by lung cancer patients.…”

mentioning

confidence: 99%