scholarly journals Determination of Deformable Image Registration Algorithms for Accumulating Dose in Carbon-ion Radiotherapy for Pancreatic Cancer

2021 ◽  
Vol 41 (2) ◽  
pp. 835-843
Author(s):  
YANG LI ◽  
YOSHIKI KUBOTA ◽  
MASAHIKO OKAMOTO ◽  
SHINTARO SHIBA ◽  
SHOHEI OKAZAKI ◽  
...  
2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yang Li ◽  
Yoshiki Kubota ◽  
Masahiko Okamoto ◽  
Shintaro Shiba ◽  
Shohei Okazaki ◽  
...  

Abstract Background Daily anatomical deviations may distort the dose distribution in carbon ion radiotherapy (CIRT), which may cause treatment failure. Therefore, this study aimed to perform re-planning to maintain the dose coverage in patients with pancreatic cancer with passive scattering CIRT. Methods Eight patients with pancreatic cancer and 95 daily computed tomography (CT) sets were examined. Two types of adaptive plans based on new range compensators (RCs) (AP-1) and initial RCs (AP-2) were generated. In AP-2, each beam was optimized by manually adjusting the range shifter thickness and spread-out Bragg peak size to make dose reduction by < 3% of the original plan. Doses of the original plan with bone matching (BM) and tumor matching (TM) were examined for comparison. We calculated the accumulated dose using the contour and intensity-based deformable image registration algorithm. The dosimetric differences in respect to the original plan were compared between methods. Results Using TM and BM, mean ± standard deviations of daily CTV V95 (%) difference from the original plan was − 5.1 ± 6.2 and − 8.8 ± 8.8, respectively, but 1.2 ± 3.4 in AP-1 and − 0.5 ± 2.1 in AP-2 (P < 0.001). AP-1 and AP-2 enabled to maintain a satisfactory accumulated dose in all patients. The dose difference was 1.2 ± 2.8, − 2,1 ± 1.7, − 7.1 ± 5.2, and − 16.5 ± 15.0 for AP-1, AP-2, TM, and BM, respectively. However, AP-2 caused a dose increase in the duodenum, especially in the left–right beam. Conclusions The possible dose deterioration should be considered when performing the BM, even TM. Re-planning based on single beam optimization in passive scattering CIRT seems an effective and safe method of ensuring the treatment robustness in pancreatic cancer. Further study is necessary to spare healthy tissues, especially the duodenum.


2007 ◽  
Vol 35 (7) ◽  
pp. 1175-1187 ◽  
Author(s):  
Nikhil S. Phatak ◽  
Qunli Sun ◽  
Seong-Eun Kim ◽  
Dennis L. Parker ◽  
R. Kent Sanders ◽  
...  

Pancreatology ◽  
2016 ◽  
Vol 16 (4) ◽  
pp. S66
Author(s):  
Yasuhisa Mori ◽  
Takao Ohtsuka ◽  
Kohei Nakata ◽  
Yoshihiro Miyasaka ◽  
Eishi Nagai ◽  
...  

HPB ◽  
2020 ◽  
Vol 22 ◽  
pp. S173
Author(s):  
M. Shinoto ◽  
H. Hirata ◽  
H. Suefuji ◽  
S. Toyama ◽  
M. Ueda

Pancreas ◽  
2020 ◽  
Vol 49 (6) ◽  
pp. 737-743
Author(s):  
Timothy D. Malouff ◽  
Sunil Krishnan ◽  
Christopher L. Hallemeier ◽  
Michael G. Haddock ◽  
Bradford S. Hoppe ◽  
...  

2018 ◽  
Vol 129 (1) ◽  
pp. 101-104 ◽  
Author(s):  
Shohei Kawashiro ◽  
Shigeru Yamada ◽  
Yuka Isozaki ◽  
Kenji Nemoto ◽  
Hiroshi Tsuji ◽  
...  

2020 ◽  
Vol 147 ◽  
pp. 145-150
Author(s):  
Jakob Liermann ◽  
Makoto Shinoto ◽  
Mustafa Syed ◽  
Jürgen Debus ◽  
Klaus Herfarth ◽  
...  

Cancers ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1447 ◽  
Author(s):  
Yoshiki Kubota ◽  
Masahiko Okamoto ◽  
Yang Li ◽  
Shintaro Shiba ◽  
Shohei Okazaki ◽  
...  

We aimed to clarify the accuracy of rigid image registration and deformable image registration (DIR) in carbon-ion radiotherapy (CIRT) for pancreatic cancer. Six patients with pancreatic cancer who were treated with passive irradiation CIRT were enrolled. Three registration patterns were evaluated: treatment planning computed tomography images (TPCT) to CT images acquired in the treatment room (IRCT) in the supine position, TPCT to IRCT in the prone position, and TPCT in the supine position to the prone position. After warping the contours of the original CT images to the destination CT images using deformation matrices from the registration, the warped delineated contours on the destination CT images were compared with the original ones using mean displacement to agreement (MDA). Four contours (clinical target volume (CTV), gross tumor volume (GTV), stomach, duodenum) and four registration algorithms (rigid image registration [RIR], intensity-based DIR [iDIR], contour-based DIR [cDIR], and a hybrid iDIR-cDIR ([hDIR]) were evaluated. The means ± standard deviation of the MDAs of all contours for RIR, iDIR, cDIR, and hDIR were 3.40 ± 3.30, 2.2 1± 2.48, 1.46 ± 1.49, and 1.46 ± 1.37 mm, respectively. There were significant differences between RIR and iDIR, and between RIR/iDIR and cDIR/hDIR. For the pancreatic cancer patient images, cDIR and hDIR had better accuracy than RIR and iDIR.


Sign in / Sign up

Export Citation Format

Share Document