Chytyk-Praznik K, Van Uytven E, Van Beek T, McCurdy Bmc
University of Manitoba, Winnipeg, MB.
Nova Scotia Cancer Centre, Halifax, NS.
Med Phys. 2012 Jul;39(7Part3):4629. doi: 10.1118/1.4740133.
Dosimetric verification of patient treatment plans has become increasingly important due to the widespread use of complicated delivery techniques. IMRT and VMAT treatments are typically verified prior to start of the patient's course of treatment, using a point dose and/or a film measurement. Pre-treatment verification will not detect patient or machine-related errors; therefore, in vivo dosimetric verification is the only way to determine if the patient's treatment was delivered correctly. Portal images were acquired throughout the course of five prostate and six head-and-neck patient IMRT treatments. The corresponding predicted images were calculated using a previously developed portal dose image prediction algorithm, which combines a versatile fluence model with a patient scatter and EPID dose prediction model. The prostate patient image agreement was found to vary day-to-day due to rectal gas pockets and the effect of adjustable support rails on the patient couch. The head-and-neck patient images were observed to be more consistent daily, but an increased measured dose was evident at the periphery of the patient, likely due to patient weight loss. The majority of the fields agreed within 3% and 3 mm for greater than 90% of the pixels, as established by the χ-comparison. This work demonstrates the changes in patient anatomy that are detectable with the portal dose image prediction model. Prior to clinical implementation, the effect of the couch must be incorporated into the model, the image acquisition must be automatically scheduled and routine EPID QA must be undertaken to ensure the collection of high-quality EPID images.
由于复杂放疗技术的广泛应用,患者治疗计划的剂量验证变得越来越重要。调强放疗(IMRT)和容积调强弧形放疗(VMAT)治疗通常在患者疗程开始前进行验证,采用点剂量测量和/或胶片测量。治疗前验证无法检测出与患者或机器相关的误差;因此,体内剂量验证是确定患者治疗是否正确实施的唯一方法。在五例前列腺癌患者和六例头颈部患者的IMRT治疗过程中采集了射野图像。使用先前开发的射野剂量图像预测算法计算相应的预测图像,该算法将通用的注量模型与患者散射和电子射野影像装置(EPID)剂量预测模型相结合。发现前列腺癌患者的图像一致性因直肠气袋以及患者治疗床上可调节支撑轨道的影响而每天有所不同。观察到头颈部患者的图像每天更具一致性,但在患者周边明显存在测量剂量增加的情况,这可能是由于患者体重减轻所致。通过χ比较确定,对于超过90%的像素,大多数射野在3%和3毫米范围内一致。这项工作证明了利用射野剂量图像预测模型可检测到的患者解剖结构变化。在临床实施之前,治疗床的影响必须纳入模型,图像采集必须自动安排,并且必须进行常规的EPID质量保证以确保采集到高质量的EPID图像。