Technical Note: scuda: A software platform for cumulative dose assessment.
Technical Note: scuda: A software platform for cumulative dose assessment.
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DOI：
10.1118/1.4961985
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发表时间：
2016-10
期刊：
影响因子：
3.8
通讯作者：
Seyoun Park;T. McNutt;W. Plishker;H. Quon;J. Wong;R. Shekhar;Junghoon Lee
中科院分区：
文献类型：
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作者：
Seyoun Park;T. McNutt;W. Plishker;H. Quon;J. Wong;R. Shekhar;Junghoon Lee
目的准确跟踪解剖学变化和计算实际输送到患者的剂量是成功的自适应放射治疗（ART）的关键。此外，由于ART涉及大量图像和治疗数据，因此有效的数据管理和快速处理对于临床应用非常重要。本研究的目的是开发一个准确、高效的累积剂量评估（scuda）软件平台，该平台可以无缝集成到临床工作流程中。方法：scuda由可变形图像配准、分割、剂量计算模块和图形用户界面组成。它连接到我们的图像PACS和放射治疗信息数据库，从中自动查询/检索患者图像，放射治疗计划，射束数据和日常治疗信息，从而提供高效和统一的工作流程。为了准确配准计划CT和每日CBCT，作者在迭代过程中通过匹配局部强度直方图迭代校正CBCT强度。然后使用计算的变形将目标肿瘤和关键结构的轮廓从计划CT传播到日常CBCT。通过叠加/卷积算法使用配准的CT和患者设置信息计算实际输送的日剂量，并使用计算的变形场进行累积。剂量计算模块和剂量计算模块都由图形处理单元加速。结果累积剂量计算过程已在30例头颈部（HN）癌症病例上得到验证，腮腺中计划剂量与实际输送剂量之间的绝对平均剂量差为3.5 ± 5.0戈伊（平均值±STD）。平均而言，包括剂量累积的额外计算在内，35次治疗的重复计算、剂量计算和分割需要20 s/次和17 min。结论：作者开发了一个统一的软件平台，可准确有效地监测解剖变化并计算实际输送给患者的剂量，从而实现有效的累积剂量计算工作流程。对HN病例的评价证明了我们的平台在监测治疗质量和检测显著剂量变化方面的实用性，这些变化是成功ART的关键。
PURPOSE Accurate tracking of anatomical changes and computation of actually delivered dose to the patient are critical for successful adaptive radiation therapy (ART). Additionally, efficient data management and fast processing are practically important for the adoption in clinic as ART involves a large amount of image and treatment data. The purpose of this study was to develop an accurate and efficient Software platform for CUmulative Dose Assessment (scuda) that can be seamlessly integrated into the clinical workflow. METHODS scuda consists of deformable image registration (DIR), segmentation, dose computation modules, and a graphical user interface. It is connected to our image PACS and radiotherapy informatics databases from which it automatically queries/retrieves patient images, radiotherapy plan, beam data, and daily treatment information, thus providing an efficient and unified workflow. For accurate registration of the planning CT and daily CBCTs, the authors iteratively correct CBCT intensities by matching local intensity histograms during the DIR process. Contours of the target tumor and critical structures are then propagated from the planning CT to daily CBCTs using the computed deformations. The actual delivered daily dose is computed using the registered CT and patient setup information by a superposition/convolution algorithm, and accumulated using the computed deformation fields. Both DIR and dose computation modules are accelerated by a graphics processing unit. RESULTS The cumulative dose computation process has been validated on 30 head and neck (HN) cancer cases, showing 3.5 ± 5.0 Gy (mean±STD) absolute mean dose differences between the planned and the actually delivered doses in the parotid glands. On average, DIR, dose computation, and segmentation take 20 s/fraction and 17 min for a 35-fraction treatment including additional computation for dose accumulation. CONCLUSIONS The authors developed a unified software platform that provides accurate and efficient monitoring of anatomical changes and computation of actually delivered dose to the patient, thus realizing an efficient cumulative dose computation workflow. Evaluation on HN cases demonstrated the utility of our platform for monitoring the treatment quality and detecting significant dosimetric variations that are keys to successful ART.