Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy.
Localization accuracy from automatic and semi-automatic rigid registration of locally-advanced lung cancer targets during image-guided radiation therapy.
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图像引导放射治疗期间局部晚期肺癌靶标的自动和半自动刚性配准的定位精度。
DOI：
10.1118/1.3671929
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发表时间：
2012
期刊：
影响因子：
3.8
通讯作者：
Hugo,GeoffreyD
中科院分区：
文献类型：
--
作者：
Robertson,ScottP;Weiss,Elisabeth;Hugo,GeoffreyD
PurposeTo评估使用全自动和半自动图像引导放射治疗协议对局部晚期肺癌靶点进行严格配准所产生的定位准确性。MethodsSeventeen肺癌患者，14例同时伴有受累淋巴结，在主动呼吸控制下，在整个治疗过程中每周接受一次计算机断层扫描（CT）扫描。医生对所有每周扫描的肺和淋巴结目标进行轮廓勾画。然后，对原发性大体肿瘤体积（GTVP）和受累淋巴结（GTVLN）的单独和同时对准进行各种自动和半自动刚性配准技术，以模拟图像引导放射治疗中的定位过程。技术包括“标准”（将每周图像直接配准到计划CT）、“种子”（手动预对准目标以指导标准配准）、“基于传递”（通过一个或多个中间图像对准治疗前和计划CT）和“重新参考”（指定新的参考图像进行配准）。定位误差（LE）进行了评估，剩余的质心和目标之间的边界距离规划和每周CT registration.ResultsInitial骨对齐导致质心LE为7.3 ± 5.4毫米和5.4 ± 3.4毫米的GTVP和GTVLN，分别。与骨对线相比，基于传递的和种子配准分别将GTVPLE质心显著降低至4.7 ± 3.7 mm（p= 0.011）和4.3 ± 2.5 mm（p< 1 × 10−3），但重新参考配准提供的最小GTVPLE为2.4 ± 2.1 mm（p< 1 × 10−6）。与骨性对线相比，标准配准将GTVLN质心LE显著降低至3.2 ± 2.5 mm（p< 1 × 10−3），其他配准技术几乎没有额外增益。对于同时目标对准，质心LE低至3.9 ± 2.7 mm和3.8 ± 2.3 mm分别为GTVP和GTVLN，使用rereferencedregistration.ConclusionsTarget形状，体积和配置的变化，在放射治疗限制了标准的刚性配准的准确性，图像引导定位在局部晚期肺癌。使用其他刚性配准技术可能会显著减少误差，LE接近整个治疗过程中分次间目标变异性所施加的下限。
PurposeTo evaluate localization accuracy resulting from rigid registration of locally‐advanced lung cancer targets using fully automatic and semi‐automatic protocols for image‐guided radiation therapy.MethodsSeventeen lung cancer patients, fourteen also presenting with involved lymph nodes, received computed tomography (CT) scans once per week throughout treatment under active breathing control. A physician contoured both lung and lymph node targets for all weekly scans. Various automatic and semi‐automatic rigid registration techniques were then performed for both individual and simultaneous alignments of the primary gross tumor volume (GTVP) and involved lymph nodes (GTVLN) to simulate the localization process in image‐guided radiation therapy. Techniques included “standard” (direct registration of weekly images to a planning CT), “seeded” (manual prealignment of targets to guide standard registration), “transitive‐based” (alignment of pretreatment and planning CTs through one or more intermediate images), and “rereferenced” (designation of a new reference image for registration). Localization error (LE) was assessed as the residual centroid and border distances between targets from planning and weekly CTs after registration.ResultsInitial bony alignment resulted in centroid LE of 7.3 ± 5.4 mm and 5.4 ± 3.4 mm for the GTVPand GTVLN, respectively. Compared to bony alignment, transitive‐based and seeded registrations significantly reduced GTVPcentroid LE to 4.7 ± 3.7 mm (p= 0.011) and 4.3 ± 2.5 mm (p< 1 × 10−3), respectively, but the smallest GTVPLE of 2.4 ± 2.1 mm was provided by rereferenced registration (p< 1 × 10−6). Standard registration significantly reduced GTVLNcentroid LE to 3.2 ± 2.5 mm (p< 1 × 10−3) compared to bony alignment, with little additional gain offered by the other registration techniques. For simultaneous target alignment, centroid LE as low as 3.9 ± 2.7 mm and 3.8 ± 2.3 mm were achieved for the GTVPand GTVLN, respectively, using rereferenced registration.ConclusionsTarget shape, volume, and configuration changes during radiation therapy limited the accuracy of standard rigid registration for image‐guided localization in locally‐advanced lung cancer. Significant error reductions were possible using other rigid registration techniques, with LE approaching the lower limit imposed by interfraction target variability throughout treatment.
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DOI：
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发表时间：
2011-10-01
影响因子：
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作者：
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2006-07-01
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影响因子：
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DOI：
10.1016/j.ijrobp.2005.05.054
发表时间：
2005-12-01
影响因子：
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