High-resolution fluence verification for treatment plan specific QA in ion beam radiotherapy

被引:4
作者
Martisikova, Maria [1 ]
Brons, Stephan [2 ]
Hesse, Bernd M. [1 ]
Jaekel, Oliver [1 ,2 ,3 ]
机构
[1] German Canc Res Ctr, Dept Med Phys Radiat Oncol, D-69120 Heidelberg, Germany
[2] Univ Klinikum Heidelberg, HIT, D-69120 Heidelberg, Germany
[3] Univ Klinikum Heidelberg, Klin Radioonkol & Strahlentherapie, D-69120 Heidelberg, Germany
关键词
RADIOCHROMIC FILM DOSIMETRY; FLAT-PANEL DETECTOR; PROTON-BEAM; DOSE DISTRIBUTIONS; QUALITY-ASSURANCE; SCANNED PROTON; MONTE-CARLO; THERAPY; SYSTEM; RADIOSURGERY;
D O I
10.1088/0031-9155/58/6/1725
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Ion beam radiotherapy exploits the finite range of ion beams and the increased dose deposition of ions toward the end of their range in material. This results in high dose conformation to the target region, which can be further increased using scanning ion beams. The standard method for patient-plan verification in ion beam therapy is ionization chamber dosimetry. The spatial resolution of this method is given by the distance between the chambers (typically 1 cm). However, steep dose gradients created by scanning ion beams call for more information and improved spatial resolution. Here we propose a clinically applicable method, supplementary to standard patient-plan verification. It is based on ion fluence measurements in the entrance region with high spatial resolution in the plane perpendicular to the beam, separately for each energy slice. In this paper the usability of the RID256 L amorphous silicon flat-panel detector for the measurements proposed is demonstrated for carbon ion beams. The detector provides sufficient spatial resolution for this kind of measurement (pixel pitch 0.8 mm). The experiments were performed at the Heidelberg Ion-Beam Therapy Center in Germany. This facility is equipped with a synchrotron capable of accelerating ions from protons up to oxygen to energies between 48 and 430 MeV u(-1). Beam application is based on beam scanning technology. The measured signal corresponding to single energy slices was translated to ion fluence on a pixel-by-pixel basis, using calibration, which is dependent on energy and ion type. To quantify the agreement of the fluence distributions measured with those planned, a gamma-index criterion was used. In the patient field investigated excellent agreement was found between the two distributions. At least 95% of the slices contained more than 96% of points agreeing with our criteria. Due to the high spatial resolution, this method is especially valuable for measurements of strongly inhomogeneous fluence distributions like those in intensity-modulated treatment plans or plans including dose painting. Since no water phantom is needed to perform measurements, the flat-panel detector investigated has high potential for use with gantries. Before the method can be used in the clinical routine, it has to be sufficiently tested for each detector-facility combination.
引用
收藏
页码:1725 / 1738
页数:14
相关论文
共 50 条
[31]   Fred: a GPU-accelerated fast-Monte Carlo code for rapid treatment plan recalculation in ion beam therapy [J].
Schiavi, A. ;
Senzacqua, M. ;
Pioli, S. ;
Mairani, A. ;
Magro, G. ;
Molinelli, S. ;
Ciocca, M. ;
Battistoni, G. ;
Patera, V. .
PHYSICS IN MEDICINE AND BIOLOGY, 2017, 62 (18) :7482-7504
[32]   Dosimetric commissioning of a high-resolution CMOS 2D detector array for patient-specific QA of single-isocenter multi-target VMAT stereotactic radiosurgery [J].
Teng, Ching-Ling ;
Lin, Shih-Chi ;
Lovelock, Dale Michael ;
Lim, Seng Boh .
JOURNAL OF RADIATION RESEARCH, 2024, 65 (06) :787-797
[33]   Machine learning in electron beam lithography to boost photoresist formulation design for high-resolution patterning [J].
Zhao, Rongbo ;
Wang, Xiaolin ;
Xu, Hong ;
Wei, Yayi ;
He, Xiangming .
NANOSCALE, 2024, 16 (08) :4212-4218
[34]   Robust treatment planning in scanned carbon-ion radiotherapy for pancreatic cancer: Clinical verification using in-room computed tomography images [J].
Kusano, Yohsuke ;
Katoh, Hiroyuki ;
Minohara, Shinichi ;
Fujii, Hajime ;
Miyasaka, Yuya ;
Takayama, Yoshiki ;
Imura, Koh ;
Kusunoki, Terufumi ;
Miyakawa, Shin ;
Kamada, Tadashi ;
Serizawa, Itsuko ;
Takakusagi, Yosuke ;
Mizoguchi, Nobutaka ;
Tsuchida, Keisuke ;
Yoshida, Daisaku .
FRONTIERS IN ONCOLOGY, 2022, 12
[35]   Development of a high-resolution two-dimensional detector-based dose verification system for tumor-tracking irradiation in the CyberKnife system [J].
Kawabata, Fumitaka ;
Kamomae, Takeshi ;
Okudaira, Kuniyasu ;
Komori, Masataka ;
Oguchi, Hiroshi ;
Sasaki, Motoharu ;
Mori, Masaki ;
Kawamura, Mariko ;
Abe, Shinji ;
Ishihara, Shunichi ;
Naganawa, Shinji .
JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS, 2022, 23 (08)
[36]   MRI-based treatment plan simulation and adaptation for ion radiotherapy using a classification-based approach [J].
Rank, Christopher M. ;
Tremmel, Christoph ;
Huenemohr, Nora ;
Nagel, Armin M. ;
Jaekel, Oliver ;
Greilich, Steffen .
RADIATION ONCOLOGY, 2013, 8
[37]   Predicting VMAT patient-specific QA results using a support vector classifier trained on treatment plan characteristics and linac QC metrics [J].
Granville, Dal A. ;
Sutherland, Justin G. ;
Belec, Jason G. ;
La Russa, Daniel J. .
PHYSICS IN MEDICINE AND BIOLOGY, 2019, 64 (09)
[38]   Implementation of a triple Gaussian beam model with subdivision and redefinition against density heterogeneities in treatment planning for scanned carbon-ion radiotherapy [J].
Inaniwa, T. ;
Kanematsu, N. ;
Hara, Y. ;
Furukawa, T. ;
Fukahori, M. ;
Nakao, M. ;
Shirai, T. .
PHYSICS IN MEDICINE AND BIOLOGY, 2014, 59 (18) :5361-5386
[39]   Verification of temperature, wind and precipitation fields for the high-resolution WRF NMM model over the complex terrain of Montenegro [J].
Zecevic, Aleksandar ;
Filipovic, Luka ;
Marcev, Angel .
TECHNOLOGY AND HEALTH CARE, 2023, 31 (04) :1525-1539
[40]   High-resolution MEMRI characterizes laminar specific ascending and descending spinal cord pathways in rats [J].
Krishnan, Vijai ;
Xu, Jiadi ;
Mendoza, Albert German ;
Koretsky, Alan ;
Anderson, Stasia A. ;
Pelled, Galit .
JOURNAL OF NEUROSCIENCE METHODS, 2020, 340