首页> 外文期刊>Acta oncologica. >Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration.
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Propagation of target and organ at risk contours in radiotherapy of prostate cancer using deformable image registration.

机译:使用变形图像配准在前列腺癌放射治疗中靶标和器官的风险轮廓的传播。

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BACKGROUND: Successful deformable image registration is an essential component of both dose accumulation and plan adaptation in radiotherapy. The aim of this study was to evaluate the performance of a deformable image registration application for propagation of contours using repeat CT scans of the pelvis, a region where considerable deformations are expected. MATERIAL AND METHODS: The study involved four prostate cancer patients, each with 9-11 repeat CT scans. An oncologist contoured bladder, rectum, clinical target volume of pelvic lymph nodes (CTV-ln) and prostate (CTV-p) in all CT scans. The reference CT was retrospectively registered to the repeat CT scans with both rigid and deformable registration using a recently released commercial clinical software application. Two different diffusion-based 'demons' deformable registration algorithms were applied, differing in the amount of deformations being allowed, with algorithm A being more generous than algorithm B. The evaluation of the propagated structures included both quantitative measures and qualitative scoring. RESULTS: We found the differences between the algorithms to be most evident for bladder and rectum. An increase in mean Dice similarity coefficient relative the rigid registrations of 12% and 13% was obtained with algorithm A for bladder and rectum, compared to 2% with algorithm B. For bladder the mean sensitivity and positive predictive value was 0.92 and 0.87 with algorithm A and 0.82 and 0.83 with algorithm B. Corresponding values for rectum was 0.81 and 0.76 with algorithm A and 0.75 and 0.69 with algorithm B. This translated into 57% and 26% passing the clinical evaluation for bladder and rectum, with algorithm A, compared to 17% and 14% with algorithm B. For CTV-ln and CTV-p both algorithms performed well by all measures, e.g. with 86% of the target structures passing the clinical evaluation. CONCLUSIONS: Deformable image registration improved contour propagation in the pelvis for all organs investigated. Differences in the performance of the algorithms were seen which became more pronounced for the highly deformable organs of bladder and rectum.
机译:背景:成功的可变形图像配准是放射治疗中剂量累积和计划适应性的重要组成部分。这项研究的目的是使用骨盆的重复CT扫描评估可变形图像配准应用程序在轮廓传播方面的性能,骨盆是可能会出现较大变形的区域。材料与方法:该研究涉及四名前列腺癌患者,每例患者均进行9-11次重复CT扫描。肿瘤科医生在所有CT扫描中勾勒出膀胱,直肠,盆腔淋巴结(CTV-ln)和前列腺(CTV-p)的临床目标体积。使用最近发布的商业临床软件应用程序,将参考CT进行刚性和变形配准的回顾性配准,以重复进行CT扫描。应用了两种不同的基于扩散的“恶魔”可变形配准算法,所允许的变形量不同,算法A比算法B更为慷慨。对传播结构的评估包括定量方法和定性评分。结果:我们发现算法之间的差异对于膀胱和直肠最为明显。使用算法A,膀胱和直肠的平均Dice相似系数相对于刚性定位增加了12%和13%,而使用算法B的平均Dice相似系数增加了2%。对于膀胱,使用算法的平均敏感性和阳性预测值为0.92和0.87 A和算法B分别为0.82和0.83。算法A的直肠对应值为0.81和0.76,算法B的对应值为0.75和0.69。通过算法A进行膀胱和直肠的临床评估,结果分别为57%和26%对于算法B,分别达到17%和14%。对于CTV-ln和CTV-p,两种算法在所有指标上均表现良好,例如86%的目标结构通过了临床评估。结论:可变形的图像配准改善了所研究的所有器官在骨盆中的轮廓传播。可以看到算法性能的差异,对于膀胱和直肠高度易变形的器官,这种差异变得更加明显。

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