Computer-Assisted Treatment Planning Approaches for SBRT
This chapter describes computer-assisted treatment planning approaches for stereotactic body radiation therapy (SBRT), focusing especially on beam angle optimization and similar-case-based treatment planning. The determination of appropriate treatment pla
- PDF / 898,689 Bytes
- 20 Pages / 439.37 x 666.142 pts Page_size
- 88 Downloads / 199 Views
Computer-Assisted Treatment Planning Approaches for SBRT Taiki Magome
Abstract This chapter describes computer-assisted treatment planning approaches for stereotactic body radiation therapy (SBRT), focusing especially on beam angle optimization and similar-case-based treatment planning. The determination of appropriate treatment plans for SBRT is a substantial and demanding task for inexperienced treatment planners. A computer-aided treatment planning system for SBRT could help treatment planners by capitalizing on the knowledge and skills that are stored in radiotherapy treatment planning databases. First, the chapter describes a computer-aided method of determining beam arrangements based on similar cases in a radiotherapy treatment planning database. Second, the chapter discusses a similar-case-based optimization method for beam arrangements that was designed to assist treatment planners. The methods introduced herein could be employed as computer-aided tools that assist treatment planners. The quality of radiotherapy could thus be normalized across treatment planners with different levels of experience in SBRT. Keywords Treatment planning • Similar case • Knowledge based • Computer aided • Stereotactic body radiation therapy
6.1
Introduction
Stereotactic body radiation therapy (SBRT) can be used to deliver highly conformal doses to tumors while minimizing doses to surrounding organs at risk (OARs) and normal tissues with steep dose gradients (Nagata et al. 2005, Takayama et al. 2005; Timmerman et al. 2006a, 2007; Glide-Hurst and Chetty 2014). In general, hypofractionated regimens (10–20 Gy in five or fewer fractions) have been used. Numerous phase I/II studies of early-stage lung and liver cancers have shown high local control rates and good tolerability (Nagata et al. 2005, 2011; Timmerman et al. 2006b, 2010; Onishi et al. 2011; Taremi et al. 2012; Shioyama et al. 2013).
T. Magome (*) Department of Radiological Sciences, Faculty of Health Sciences, Komazawa University, 1-23-1, Komazawa, Setagaya-ku, Tokyo 154-8525, Japan e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 H. Arimura (ed.), Image-Based Computer-Assisted Radiation Therapy, DOI 10.1007/978-981-10-2945-5_6
111
112
T. Magome
Recently, this technique has made substantial progress with intensity-modulated radiation therapy (IMRT), volumetric modulated arc therapy (VMAT), and flattening filter-free (FFF) beams (Videtic et al. 2010; Holt et al. 2011; Zhang et al. 2011; Takahashi et al. 2013; Hrbacek et al. 2014; Nakagawa et al. 2014; Yamashita et al. 2014a). Radiotherapy treatment planning (RTP), which is one of the most important procedures for SBRT, is determined by treatment planners in a time-consuming iterative manner. In particular, it is essential to determine an appropriate beam arrangement, which generally consists of a large number of coplanar and noncoplanar static beams or rotational beams (Takayama et al. 2005; Liu et al. 2006; Lim et al. 2010). In general, the choice of an appropriate beam arrangement for l
Data Loading...
