Design study of a raster scanning system for moving target irradiation in heavy‐ion radiotherapy

Furukawa, Takuji; Inaniwa, Taku; Sato, Shinji; Tomitani, Takehiro; Minohara, Shinichi; Noda, K.; Kanai, Tatsuaki

doi:10.1118/1.2558213

Cited by 125 publications

(101 citation statements)

References 25 publications

(22 reference statements)

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“…The problem of organ motion and rescanning synchronism has also been tackled by several groups, including Furukawa et al [45] and Seco et al [37]. Solutions include: N using random modulations, e.g.…”

Section: Rescanningmentioning

confidence: 99%

“…Owing to the need to compensate for both CTV motion and the change in radiological path length in proton therapy, the German national heavy-ion physics laboratory, the Gesellschaft fü r Schwerionen, in Darmstadt, has established a method of using a motordriven compensation system for changes in radiological path length [46,47] and raster scanning [45,48].…”

Section: Beam Trackingmentioning

confidence: 99%

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Treatment planning optimisation in proton therapy

McGowan¹,

Burnet²,

Lomax³

2013

BJR

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ABSTRACT. The goal of radiotherapy is to achieve uniform target coverage while sparing normal tissue. In proton therapy, the same sources of geometric uncertainty are present as in conventional radiotherapy. However, an important and fundamental difference in proton therapy is that protons have a finite range, highly dependent on the electron density of the material they are traversing, resulting in a steep dose gradient at the distal edge of the Bragg peak. Therefore, an accurate knowledge of the sources and magnitudes of the uncertainties affecting the proton range is essential for producing plans which are robust to these uncertainties. This review describes the current knowledge of the geometric uncertainties and discusses their impact on proton dose plans. The need for patient-specific validation is essential and in cases of complex intensity-modulated proton therapy plans the use of a planning target volume (PTV) may fail to ensure coverage of the target. In cases where a PTV cannot be used, other methods of quantifying plan quality have been investigated. A promising option is to incorporate uncertainties directly into the optimisation algorithm. A further development is the inclusion of robustness into a multicriteria optimisation framework, allowing a multi-objective Pareto optimisation function to balance robustness and conformity. The question remains as to whether adaptive therapy can become an integral part of a proton therapy, to allow re-optimisation during the course of a patient's treatment. The challenge of ensuring that plans are robust to range uncertainties in proton therapy remains, although these methods can provide practical solutions. The ability to create and deliver the ideal treatment plan, where the target volume receives 100% of the prescribed dose and normal tissue receives 0%, is the holy grail of radiation therapy [1]. It is, however, impossible to achieve this perfect balance. Instead, multiple trade-offs are required to achieve a clinically acceptable plan, so the problem becomes one of optimisation. There are many factors that can affect how ''optimised'' a patient's treatment can be. This review focuses on the challenges of proton therapy plan optimisation, particularly in regard to range uncertainties, and how to incorporate them into the plan evaluation and verification process.The nature of proton therapy makes the aim of cure without complications potentially more achievable, owing to the highly localised deposition of dose in the characteristic Bragg peak [2]. This relates predominantly to the ability to deliver high doses of radiation close to normal tissue structures, which would be dose limiting in conventional X-ray treatments, and to the finite range of protons, which results in a reduced integral dose to surrounding normal tissues.From a clinical perspective, the exact role of proton therapy has yet to be defined. However, for childhood cancers, proton therapy delivers a lower dose to tissues around the tumour than X-rays, resulting in less growth disturbance and l...

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Section: Rescanningmentioning

confidence: 99%

Section: Beam Trackingmentioning

confidence: 99%

Treatment planning optimisation in proton therapy

McGowan¹,

Burnet²,

Lomax³

2013

BJR

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“…NIRS, therefore, has developed a 3D scanning method with a new scheme: phase-controlled rescanning (PCR). [18][19][20] PCR utilizes the fact that the tumor movement is close to "zero" on average during one respiration period. When a rescanning irradiation of one slice is completed within one respiration period, PCR can obtain a uniform dose distribution even under irradiation of moving tumors.…”

Section: Phase-controlled Rescanning (Lateral Scanning)mentioning

confidence: 99%

“…10 As a result, NIRS developed a phase-controlled rescanning (PCR) method 11 based on a fast 3D scanning with a pencil beam. A new treatment research facility was constructed in order to verify the 3D-scanning technology developed through a clinical study.…”

Section: Introductionmentioning

confidence: 99%

Development of heavy-ion radiotherapy technology with HIMAC

Noda¹

2016

Int. J. Mod. Phys. Conf. Ser.

Self Cite

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Since 1994, HIMAC has carried out clinical studies and treatments for more than 9000 cancer patients with carbon-ion beams. During the first decade of the HIMAC study, a single beamwobbling method, adopted as the HIMAC beam-delivery technique, was improved for treatments of moving tumors and for obtaining more conformal dose distribution. During the second decade, a pencil-beam 3D scanning method has been developed toward an "adaptive cancer treatment" for treatments of both static and moving tumors. A new treatment research facility was constructed with HIMAC in order to verify the developed 3D scanning technology through a clinical study that has been successfully conducted since 2011. As the next stage, a compact heavy-ion rotating gantry with a superconducting technology has been developed for the more accurate and shortercourse treatments. The twenty-year development of the heavy-ion radiotherapy technologies including accelerator technologies with HIMAC is reviewed.

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“…This facility is equipped with three treatment rooms; two of them have both horizontal and vertical fixedirradiation ports, and the other is a rotating-gantry port. For all ports, three-dimensional raster-scanning irradiation with a pencil beam will be employed [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Design of a superconducting rotating gantry for heavy-ion therapy

Iwata¹,

Noda²,

Shirai³

et al. 2012

Phys. Rev. ST Accel. Beams

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A superconducting rotating gantry for heavy-ion therapy is being designed. This isocentric rotating gantry can transport heavy ions with the maximum energy of 430 MeV=u to an isocenter with irradiation angles of over 0-360 degrees, and is further capable of performing three-dimensional raster-scanning irradiation. The combined-function superconducting magnets will be employed for the rotating gantry. The superconducting magnets with optimized beam optics allow a compact gantry design with a large scan size at the isocenter; the length and the radius of the gantry will be approximately 13 and 5.5 m, respectively, which are comparable to those for the existing proton gantries. Furthermore, the maximum scan size at the isocenter is calculated to be as large as approximately 200 mm square for heavy-ion beams at the maximum energy of 430 MeV=u. Based on the design of the beam optics, specifications of the superconducting magnets were determined. The superconducting magnets and magnetic-field distributions are designed using a three-dimensional field solver. With the calculated magnetic fields, beam-tracking simulations were performed to verify the design of the superconducting magnets, and concurrently to evaluate the field quality. With calculated beam profiles at the isocenter, we found that the positions of beam spots as well as their size and shape could be well reproduced as designed, proving validity of our design.

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Design study of a raster scanning system for moving target irradiation in heavy‐ion radiotherapy

Cited by 125 publications

References 25 publications

Treatment planning optimisation in proton therapy

Treatment planning optimisation in proton therapy

Development of heavy-ion radiotherapy technology with HIMAC

Design of a superconducting rotating gantry for heavy-ion therapy

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