Calvo Juan Francisco, San José Sol, Garrido Lluís, Puertas Enrique, Moragues Sandra, Pozo Miquel, Casals Joan
Departamento de Oncología Radioterápica, Hospital Quirón, Barcelona, Spain.
Med Dosim. 2013 Autumn;38(3):291-7. doi: 10.1016/j.meddos.2013.02.011. Epub 2013 Mar 26.
To introduce an approach for online adaptive replanning (i.e., dose-guided radiosurgery) in frameless stereotactic radiosurgery, when a 6-dimensional (6D) robotic couch is not available in the linear accelerator (linac). Cranial radiosurgical treatments are planned in our department using intensity-modulated technique. Patients are immobilized using thermoplastic mask. A cone-beam computed tomography (CBCT) scan is acquired after the initial laser-based patient setup (CBCTsetup). The online adaptive replanning procedure we propose consists of a 6D registration-based mapping of the reference plan onto actual CBCTsetup, followed by a reoptimization of the beam fluences ("6D plan") to achieve similar dosage as originally was intended, while the patient is lying in the linac couch and the original beam arrangement is kept. The goodness of the online adaptive method proposed was retrospectively analyzed for 16 patients with 35 targets treated with CBCT-based frameless intensity modulated technique. Simulation of reference plan onto actual CBCTsetup, according to the 4 degrees of freedom, supported by linac couch was also generated for each case (4D plan). Target coverage (D99%) and conformity index values of 6D and 4D plans were compared with the corresponding values of the reference plans. Although the 4D-based approach does not always assure the target coverage (D99% between 72% and 103%), the proposed online adaptive method gave a perfect coverage in all cases analyzed as well as a similar conformity index value as was planned. Dose-guided radiosurgery approach is effective to assure the dose coverage and conformity of an intracranial target volume, avoiding resetting the patient inside the mask in a "trial and error" way so as to remove the pitch and roll errors when a robotic table is not available.
介绍一种在直线加速器(linac)中没有6维(6D)机器人治疗床时,用于无框架立体定向放射外科在线自适应再计划(即剂量引导放射外科)的方法。我们科室采用调强技术进行颅脑放射外科治疗。使用热塑性面罩固定患者。在基于激光的初始患者摆位(CBCT摆位)后进行锥形束计算机断层扫描(CBCT)。我们提出的在线自适应再计划程序包括将参考计划基于6D配准映射到实际CBCT摆位上,然后重新优化射束注量(“6D计划”),以在患者躺在直线加速器治疗床上且保持原始射束排列的情况下,实现与原计划相似的剂量。对16例采用基于CBCT的无框架调强技术治疗35个靶区的患者,回顾性分析了所提出的在线自适应方法的有效性。针对每个病例还生成了根据直线加速器治疗床支持的4个自由度,将参考计划模拟到实际CBCT摆位上的结果(4D计划)。比较了6D和4D计划的靶区覆盖度(D99%)和适形指数值与参考计划的相应值。尽管基于4D的方法并不总是能确保靶区覆盖度(D99%在72%至103%之间),但所提出的在线自适应方法在所有分析病例中都实现了完美覆盖,并且适形指数值与计划值相似。剂量引导放射外科方法有效地确保了颅内靶区体积的剂量覆盖度和适形性,避免了在没有机器人治疗床时以“试错”方式在面罩内重新摆位患者,从而消除俯仰和滚动误差。