PDF(Pubmed)
Abstract：
BACKGROUND: The aim of the study was to establish a weighted comprehensive evaluation model (WCEM) of image registration for cone-beam computed tomography (CBCT) guided lung cancer radiotherapy that considers the geometric accuracy of gross target volume (GTV) and organs at risk (OARs), and assess the registration accuracy of different image registration methods to provide clinical references.
METHODS: The planning CT and CBCT images of 20 lung cancer patients were registered using diverse algorithms (bony and grayscale) and regions of interest (target, ipsilateral, and body). We compared the coverage ratio (CR) of the planning target volume (PTVCT) to GTVCBCT, as well as the dice similarity coefficient (DSC) of the GTV and OARs, considering the treatment position across various registration methods. Furthermore, we developed a mathematical model to assess registration results comprehensively. This model was evaluated and validated using CRFs across four automatic registration methods.
RESULTS: The grayscale registration method, coupled with the registration of the ipsilateral structure, exhibited the highest level of automatic registration accuracy, the DSC were 0.87 ± 0.09 (GTV), 0.71 ± 0.09 (esophagus), 0.74 ± 0.09 (spinal cord), and 0.91 ± 0.05 (heart), respectively. Our proposed WCEM proved to be both practical and effective. The results clearly indicated that the grayscale registration method, when applied to the ipsilateral structure, achieved the highest CRF score. The average CRF scores, excellent rates, good rate and qualification rates were 58 ± 26, 40%, 75%, and 85%, respectively.
CONCLUSIONS: This study successfully developed a clinically relevant weighted evaluation model for CBCT-guided lung cancer radiotherapy. Validation confirmed the grayscale method\'s optimal performance in ipsilateral structure registration.
METHODS: The planning CT and CBCT images of 20 lung cancer patients were registered using diverse algorithms (bony and grayscale) and regions of interest (target, ipsilateral, and body). We compared the coverage ratio (CR) of the planning target volume (PTVCT) to GTVCBCT, as well as the dice similarity coefficient (DSC) of the GTV and OARs, considering the treatment position across various registration methods. Furthermore, we developed a mathematical model to assess registration results comprehensively. This model was evaluated and validated using CRFs across four automatic registration methods.
RESULTS: The grayscale registration method, coupled with the registration of the ipsilateral structure, exhibited the highest level of automatic registration accuracy, the DSC were 0.87 ± 0.09 (GTV), 0.71 ± 0.09 (esophagus), 0.74 ± 0.09 (spinal cord), and 0.91 ± 0.05 (heart), respectively. Our proposed WCEM proved to be both practical and effective. The results clearly indicated that the grayscale registration method, when applied to the ipsilateral structure, achieved the highest CRF score. The average CRF scores, excellent rates, good rate and qualification rates were 58 ± 26, 40%, 75%, and 85%, respectively.
CONCLUSIONS: This study successfully developed a clinically relevant weighted evaluation model for CBCT-guided lung cancer radiotherapy. Validation confirmed the grayscale method\'s optimal performance in ipsilateral structure registration.
摘要：
背景：研究的目的是建立锥形束计算机断层扫描（CBCT）引导的肺癌放射治疗的图像配准的加权综合评估模型（WCEM），该模型考虑了总目标体积（GTV）和危险器官（OAR）的几何精度，并评估不同图像配准方法的配准精度,为临床提供参考。
方法：使用多种算法（骨和灰度）和感兴趣区域（目标，同侧,和身体）。我们比较了计划目标体积（PTVCT）与GTVCBCT的覆盖率（CR），以及GTV和OAR的骰子相似系数(DSC)，考虑各种注册方法的治疗位置。此外，我们建立了一个数学模型来全面评估配准结果。使用跨四种自动配准方法的CRF对该模型进行了评估和验证。
结果：灰度配准方法，再加上同侧结构的登记，表现出最高水平的自动配准精度，DSC为0.87±0.09(GTV)，0.71±0.09（食管），0.74±0.09（脊髓），和0.91±0.05（心脏），分别。我们提出的WCEM被证明是实用和有效的。结果清楚地表明，灰度配准方法，当应用于同侧结构时，CRF得分最高。CRF的平均分数,优异的价格，优良率和合格率分别为58±26，40%，75%,85%,分别。
结论：本研究成功建立了CBCT引导肺癌放疗的临床相关加权评价模型。验证证实了灰度方法在同侧结构配准中的最优性能。
方法：使用多种算法（骨和灰度）和感兴趣区域（目标，同侧,和身体）。我们比较了计划目标体积（PTVCT）与GTVCBCT的覆盖率（CR），以及GTV和OAR的骰子相似系数(DSC)，考虑各种注册方法的治疗位置。此外，我们建立了一个数学模型来全面评估配准结果。使用跨四种自动配准方法的CRF对该模型进行了评估和验证。
结果：灰度配准方法，再加上同侧结构的登记，表现出最高水平的自动配准精度，DSC为0.87±0.09(GTV)，0.71±0.09（食管），0.74±0.09（脊髓），和0.91±0.05（心脏），分别。我们提出的WCEM被证明是实用和有效的。结果清楚地表明，灰度配准方法，当应用于同侧结构时，CRF得分最高。CRF的平均分数,优异的价格，优良率和合格率分别为58±26，40%，75%,85%,分别。
结论：本研究成功建立了CBCT引导肺癌放疗的临床相关加权评价模型。验证证实了灰度方法在同侧结构配准中的最优性能。
