Li Hong-Sheng, Kong Ling-Ling, Zhang Jian, Li Bao-Sheng, Chen Jin-Hu, Zhu Jian, Liu Tong-Hai, Yin Yong
Department of Radiation Oncology, Cancer Hospital and Institute, Tianjin Medical University, Tianjin, China.
Asian Pac J Cancer Prev. 2012;13(5):2393-8. doi: 10.7314/apjcp.2012.13.5.2393.
The purpose of this study was to evaluate the geometric accuracy of thoracic anatomic landmarks as target surrogates of intrapulmonary tumors for manual rigid registration during image-guided radiotherapy (IGRT).
Kilovolt cone-beam computed tomography (CBCT) images acquired during IGRT for 29 lung cancer patients with 33 tumors, including 16 central and 17 peripheral lesions, were analyzed. We selected the "vertebrae", "carina", and "large bronchi" as the candidate surrogates for central targets, and the "vertebrae", "carina", and "ribs" as the candidate surrogates for peripheral lesions. Three to six pairs of small identifiable markers were noted in the tumors for the planning CT and Day 1 CBCT. The accuracy of the candidate surrogates was evaluated by comparing the distances of the corresponding markers after manual rigid matching based on the "tumor" and a particular surrogate. Differences between the surrogates were assessed using 1-way analysis of variance and post hoc least-significant-difference tests.
For central targets, the residual errors increased in the following ascending order: "tumor", "bronchi", "carina", and "vertebrae"; there was a significant difference between "tumor" and "vertebrae" (p=0.010). For peripheral diseases, the residual errors increased in the following ascending order: "tumor", "ribs", "vertebrae", and "carina". There was a significant difference between "tumor" and "carina" (p=0.005).
The "bronchi" and "carina" are the optimal surrogates for central lung targets, while "ribs" and "vertebrae" are the optimal surrogates for peripheral lung targets for manual matching of online and planned tumors.
本研究旨在评估在图像引导放射治疗(IGRT)期间,胸部解剖标志作为肺内肿瘤手动刚性配准的目标替代物的几何准确性。
分析了29例肺癌患者在IGRT期间采集的千伏锥形束计算机断层扫描(CBCT)图像,这些患者共有33个肿瘤,包括16个中央病变和17个外周病变。我们选择“椎体”、“隆突”和“大气道”作为中央目标的候选替代物,选择“椎体”、“隆突”和“肋骨”作为外周病变的候选替代物。在计划CT和第1天CBCT的肿瘤中标记了三到六对小的可识别标记。通过比较基于“肿瘤”和特定替代物进行手动刚性匹配后相应标记的距离,评估候选替代物的准确性。使用单因素方差分析和事后最小显著差异检验评估替代物之间的差异。
对于中央目标,残余误差按升序排列为:“肿瘤”、“气道”、“隆突”和“椎体”;“肿瘤”和“椎体”之间存在显著差异(p = 0.010)。对于外周病变,残余误差按升序排列为:“肿瘤”、“肋骨”、“椎体”和“隆突”。“肿瘤”和“隆突”之间存在显著差异(p = 0.005)。
对于在线和计划肿瘤的手动匹配,“气道”和“隆突”是中央肺目标的最佳替代物,而“肋骨”和“椎体”是外周肺目标的最佳替代物。