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Preliminary analysis for integration of spot-scanning proton beam therapy and real-time imaging and gating
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Preliminary analysis for integration of spot-scanning proton beam therapy and real-time imaging and gating

S. Shimizu, T. Matsuura, M. Umezawa, K. Hiramoto, N. Miyamoto, K. Umegaki, H. Shirato 和 Fang-Hsin Chen
Physica medica, 卷.30(5), 頁碼.555-558
01/07/2014
PMID: 24786663
Web of Science ID: WOS:000339137700005

摘要

Gated radiotherapy Image-guided radiation therapy Organ motion Spot-scanning proton beam therapy
Spot-scanning proton beam therapy (PBT) can create good dose distribution for static targets. However, there exists larger uncertainty for tumors that move due to respiration, bowel gas or other internal circumstances within the patients. We have developed a real-time tumor-tracking radiation therapy (RTRT) system that uses an X-ray linear accelerator gated to the motion of internal fiducial markers introduced in the late 1990s. Relying on more than 10 years of clinical experience and big log data, we established a real-time image gated proton beam therapy system dedicated to spot scanning. Using log data and clinical outcomes derived from the clinical usage of the RTRT system since 1999, we have established a library to be used for in-house simulation for tumor targeting and evaluation. Factors considered to be the dominant causes of the interplay effects related to the spot scanning dedicated proton therapy system are listed and discussed. Total facility design, synchrotron operation cycle, and gating windows were listed as the important factors causing the interplay effects contributing to the irradiation time and motion-induced dose error. Fiducial markers that we have developed and used for the RTRT in X-ray therapy were suggested to have the capacity to improve dose distribution. Accumulated internal motion data in the RTRT system enable us to improve the operation and function of a Spot-scanning proton beam therapy (SSPT) system. A real-time-image gated SSPT system can increase accuracy for treating moving tumors. The system will start clinical service in early 2014.

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