School of Mathematics and Physics, Queen's University Belfast, Belfast, Northern Ireland.
Cancer Centre Belfast City Hospital, Belfast Health & Social Care Trust, Belfast, Northern Ireland.
Br J Radiol. 2023 Sep;96(1149):20220461. doi: 10.1259/bjr.20220461. Epub 2023 Jul 10.
This study aims to analyse lung tumour motion and to investigate the correlation between the internal tumour motion acquired from four-dimensional computed tomography (4DCT) and the motion of an external surrogate.
A data set of 363 4DCT images was analysed. Tumours were classified based on their anatomical lobes. The recorded gross tumour volume (GTV) information included the centroid GTV motion in the superior-inferior, anteroposterior and left-right directions, and in three-dimensions (3D). For the internal/external correlation, the RPM surrogate breathing signals of 260 patients were analysed via an in-house script. The external motion was correlated with the 3D centroid motion, and the maximum tumour motion via Spearman's correlation. The effect of tumour volume on the amount of motion was evaluated.
The greatest 3D tumour amplitude was found for tumours located in the lower part of the lung, with a maximum of 26.7 mm. The Spearman's correlation of the internal 3D motion was weak in the upper ( = 0.21) and moderate in the middle ( = 0.51) and the lower ( = 0.52) lobes. There was no obvious difference in the correlation coefficients between the maximum tumour displacement and the centroid motion. No correlation was found between the tumour volume and the magnitude of motion.
Our results suggest that tumour location can be a good predictor of its motion. However, tumour size is a poor predictor of the motion.
This knowledge of the distribution of tumour motion throughout the thoracic regions will be valuable to research groups investigating the refinement of motion management strategies.
本研究旨在分析肺部肿瘤运动,并探讨从四维计算机断层扫描(4DCT)获得的内部肿瘤运动与外部替代物运动之间的相关性。
分析了 363 个 4DCT 图像数据集。根据解剖肺叶对肿瘤进行分类。记录的大体肿瘤体积(GTV)信息包括上下、前后和左右方向以及三维(3D)的中心 GTV 运动。对于内部/外部相关性,通过内部脚本分析了 260 名患者的 RPM 替代呼吸信号。通过 Spearman 相关性分析,将外部运动与 3D 质心运动和最大肿瘤运动相关联。评估肿瘤体积对运动幅度的影响。
位于肺部下部的肿瘤的最大 3D 肿瘤幅度最大,最大幅度为 26.7mm。上叶( = 0.21)、中叶( = 0.51)和下叶( = 0.52)内部 3D 运动的 Spearman 相关性较弱。最大肿瘤位移与质心运动之间的相关系数没有明显差异。肿瘤体积与运动幅度之间没有相关性。
我们的结果表明,肿瘤位置可以很好地预测其运动。然而,肿瘤大小是运动的一个较差的预测指标。
了解整个胸部区域肿瘤运动的分布情况,对于研究小组研究运动管理策略的精细化将是有价值的。