Zhang Ji-Bin, Zhao Li-Rong, Cui Tian-Xiang, Chen Xie-Wan, Yang Qiao, Zhou Yi-Bing, Chen Zheng-Tang, Zhang Shao-Xiang, Sun Jian-Guo
Cancer Institute of The People's Liberation Army, Xinqiao Hospital, Third Military Medical University, Chongqing 400037, P.R. China.
Department of Medical English, College of Basic Medicine, Third Military Medical University, Chongqing 400038, P.R. China.
Oncol Lett. 2018 Apr;15(4):5634-5642. doi: 10.3892/ol.2018.8084. Epub 2018 Feb 16.
The aim of the present study was to investigate the optimal strategy and dosimetric measurement of thoracic radiotherapy based on three-dimensional (3D) modeling of mediastinal lymph nodes (MLNs). A 3D model of MLNs was constructed from a Chinese Visible Human female dataset. Image registration and fusion between reconstructed MLNs and original chest computed tomography (CT) images was conducted in the Eclipse™ treatment planning system (TPS). There were three plans, including 3D conformal radiotherapy (3D-CRT), intensity-modulated radiotherapy (IMRT) and volumetric-modulated arc therapy (VMAT), which were designed based on 10 cases of simulated lung lesions (SLLs) and MLNs. The quality of these plans was evaluated via examining indexes, including conformity index (CI), homogeneity index and clinical target volume (CTV) coverage. Dose-volume histogram analysis was performed on SLL, MLNs and organs at risk (OARs). A Chengdu Dosimetric Phantom (CDP) was then drilled at specific MLNs according to 20 patients with thoracic tumors and of a medium-build. These plans were repeated on fused MLNs and CDP CT images in the Eclipse™ TPS. Radiation doses at the SLLs and MLNs of the CDP were measured and compared with calculated doses. The established 3D MLN model demonstrated the spatial location of MLNs and adjacent structures. Precise image registration and fusion were conducted between reconstructed MLNs and the original chest CT or CDP CT images. IMRT demonstrated greater values in CI, CTV coverage and OAR (lungs and spinal cord) protection, compared with 3D-CRT and VMAT (P<0.05). The deviation between the measured and calculated doses was within ± 10% at SLL, and at the 2R and 7th MLN stations. In conclusion, the 3D MLN model can benefit plan optimization and dosimetric measurement of thoracic radiotherapy, and when combined with CDP, it may provide a tool for clinical dosimetric monitoring.
本研究的目的是基于纵隔淋巴结(MLNs)的三维(3D)建模,探讨胸部放疗的最佳策略和剂量测量方法。从中国可视人女性数据集构建了MLNs的3D模型。在Eclipse™治疗计划系统(TPS)中进行了重建的MLNs与原始胸部计算机断层扫描(CT)图像之间的图像配准和融合。基于10例模拟肺病变(SLLs)和MLNs设计了三个计划,包括三维适形放疗(3D-CRT)、调强放疗(IMRT)和容积调强弧形放疗(VMAT)。通过检查一致性指数(CI)、均匀性指数和临床靶区(CTV)覆盖率等指标评估这些计划的质量。对SLL、MLNs和危及器官(OARs)进行了剂量体积直方图分析。然后根据20例中等体型的胸部肿瘤患者,在特定的MLNs处钻取成都剂量学体模(CDP)。在Eclipse™TPS中,在融合的MLNs和CDP CT图像上重复这些计划。测量CDP的SLLs和MLNs处的辐射剂量,并与计算剂量进行比较。所建立的3D MLN模型展示了MLNs和相邻结构的空间位置。在重建的MLNs与原始胸部CT或CDP CT图像之间进行了精确的图像配准和融合。与3D-CRT和VMAT相比,IMRT在CI、CTV覆盖率和OAR(肺和脊髓)保护方面表现出更高的值(P<0.05)。在SLL以及第2R和第7个MLN站,测量剂量与计算剂量之间的偏差在±10%以内。总之,3D MLN模型有助于胸部放疗的计划优化和剂量测量,与CDP结合时,它可能为临床剂量监测提供一种工具。