Literature DB >> 25936598

Verification of Accuracy of CyberKnife Tumor-tracking Radiation Therapy Using Patient-specific Lung Phantoms.

Jinhong Jung1, Si Yeol Song2, Sang Min Yoon3, Jungwon Kwak3, KyoungJun Yoon3, Wonsik Choi4, Seong-Yun Jeong5, Eun Kyung Choi3, Byungchul Cho3.   

Abstract

PURPOSE: To investigate the accuracy of the CyberKnife Xsight Lung Tracking System (XLTS) compared with that of a fiducial-based target tracking system (FTTS) using patient-specific lung phantoms. METHODS AND MATERIALS: Three-dimensional printing technology was used to make individualized lung phantoms that closely mimicked the lung anatomy of actual patients. Based on planning computed tomographic data from 6 lung cancer patients who underwent stereotactic ablative radiation therapy using the CyberKnife, the volume above a certain Hounsfield unit (HU) was assigned as the structure to be filled uniformly with polylactic acid material by a 3-dimensional printer (3D Edison, Lokit, Korea). We evaluated the discrepancies between the measured and modeled target positions, representing the total tracking error, using 3 log files that were generated during each treatment for both the FTTS and the XLTS. We also analyzed the γ index between the film dose measured under the FTTS and XLTS.
RESULTS: The overall mean values and standard deviations of total tracking errors for the FTTS were 0.36 ± 0.39 mm, 0.15 ± 0.64 mm, and 0.15 ± 0.62 mm for the craniocaudal (CC), left-right (LR), and anteroposterior (AP) components, respectively. Those for the XLTS were 0.38 ± 0.54 mm, 0.13 ± 0.18 mm, and 0.14 ± 0.37 mm for the CC, LR, and AP components, respectively. The average of γ passing rates was 100% for the criteria of 3%, 3 mm; 99.6% for the criteria of 2%, 2 mm; and 86.8% for the criteria of 1%, 1 mm.
CONCLUSIONS: The XLTS has segmentation accuracy comparable with that of the FTTS and small total tracking errors.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25936598     DOI: 10.1016/j.ijrobp.2015.02.055

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  20 in total

1.  Clinical outcome of fiducial-less CyberKnife radiosurgery for stage I non-small cell lung cancer.

Authors:  In-Hye Jung; Si Yeol Song; Jinhong Jung; Byungchul Cho; Jungwon Kwak; Hyoung Uk Je; Wonsik Choi; Nuri Hyun Jung; Su Ssan Kim; Eun Kyung Choi
Journal:  Radiat Oncol J       Date:  2015-06-30

2.  A phase I/II study on stereotactic body radiotherapy with real-time tumor tracking using CyberKnife based on the Monte Carlo algorithm for lung tumors.

Authors:  Hiromitsu Iwata; Satoshi Ishikura; Taro Murai; Michio Iwabuchi; Mitsuhiro Inoue; Koshi Tatewaki; Seiji Ohta; Naoki Yokota; Yuta Shibamoto
Journal:  Int J Clin Oncol       Date:  2017-04-20       Impact factor: 3.402

3.  Retrospective assessment of a single fiducial marker tracking regimen with robotic stereotactic body radiation therapy for liver tumours.

Authors:  Masao Nakayama; Kazuyuki Uehara; Hideki Nishimura; Shuhei Tamura; Yoshiki Munetomo; Shinji Tsudou; Hiroshi Mayahara; Naritoshi Mukumoto; Moshi Geso; Ryohei Sasaki
Journal:  Rep Pract Oncol Radiother       Date:  2019-06-21

4.  3D-printed breast phantom for multi-purpose and multi-modality imaging.

Authors:  Yaoyao He; Yulin Liu; Brandon A Dyer; John M Boone; Shanshan Liu; Tiao Chen; Fenglian Zheng; Ye Zhu; Yong Sun; Yi Rong; Jianfeng Qiu
Journal:  Quant Imaging Med Surg       Date:  2019-01

5.  Streamlined, Inexpensive 3D Printing of the Brain and Skull.

Authors:  Jason S Naftulin; Eyal Y Kimchi; Sydney S Cash
Journal:  PLoS One       Date:  2015-08-21       Impact factor: 3.240

6.  Development of patient-specific phantoms for verification of stereotactic body radiation therapy planning in patients with metallic screw fixation.

Authors:  Dongryul Oh; Chae-Seon Hong; Sang Gyu Ju; Minkyu Kim; Bum Yong Koo; SungBack Choi; Hee Chul Park; Doo Ho Choi; Hongryull Pyo
Journal:  Sci Rep       Date:  2017-01-19       Impact factor: 4.379

7.  Characterization of 3D printing techniques: Toward patient specific quality assurance spine-shaped phantom for stereotactic body radiation therapy.

Authors:  Min-Joo Kim; Seu-Ran Lee; Min-Young Lee; Jason W Sohn; Hyong Geon Yun; Joon Yong Choi; Sang Won Jeon; Tae Suk Suh
Journal:  PLoS One       Date:  2017-05-04       Impact factor: 3.240

8.  Markerless Real-Time 3-Dimensional kV Tracking of Lung Tumors During Free Breathing Stereotactic Radiation Therapy.

Authors:  Kimmie de Bruin; Max Dahele; Hassan Mostafavi; Berend J Slotman; Wilko F A R Verbakel
Journal:  Adv Radiat Oncol       Date:  2021-04-20

9.  3D-Printing of Arteriovenous Malformations for Radiosurgical Treatment: Pushing Anatomy Understanding to Real Boundaries.

Authors:  Alfredo Conti; Antonio Pontoriero; Giuseppe Iatì; Daniele Marino; Domenico La Torre; Sergio Vinci; Antonino Germanò; Stefano Pergolizzi; Francesco Tomasello
Journal:  Cureus       Date:  2016-04-29

10.  Target margin design for real-time lung tumor tracking stereotactic body radiation therapy using CyberKnife Xsight Lung Tracking System.

Authors:  Zhi-Yong Yang; Yu Chang; Hong-Yuan Liu; Gang Liu; Qin Li
Journal:  Sci Rep       Date:  2017-09-07       Impact factor: 4.379

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