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Clinical implementation of prostate image guided radiation therapy: a prospective study to define the optimal field of interest and image registration technique using automated x-ray volumetric imaging software.

机译:前列腺图像引导放射治疗的临床实施:前瞻性研究,以使用自动X射线体积成像软件定义最佳关注领域和图像配准技术。

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Alignment of the CBCT with the reference CT is called image registration (IR). The parameters for utilizing the automated Elekta XVI IR software for IGRT of the prostate still remain to be defined. In this study, we compare several automated XVI IR parameters to manual registration to identify the optimal automated IR technique for the prostate gland. 280 prostate IRs were conducted as follows: 210 automated, and 70 manual IR were performed using 70 CBCT scans of seven patients. The three arms of the automated registrations were: (i) extended FOI/Bone + grey scale (double IR); (ii) limited FOI/GS (single IR); and (iii) extended FOI/GS (single IR). Automated IRs were compared to manual IRs; x, y, z shifts, failures, and errors recorded for off-line analysis. Based on the most successful parameters, a departmental protocol was developed and 432 automated IR were performed (on 20 patients) for analysis. Automated IR were classified as: Successful, failed, error, or unregistered. In arm 1, the rate of successful, failed, error, and unregistered IR were 52.8%, 1.5%, 8.6%, 37.1%, respectively, arm 2: 90% successful, 10% failed, arm 3: 100% successful. Using the arm 3 parameters for the 432 automated IRs, the incidence of unregistered scans was 0%, rescanning was required in 1% of treatments, and the time for performing the auto IR was < 5.5 minutes. We found that extended FOI + single (GS) IR results in shifts comparable to manual IR using automated XVI software. We experienced multiple unsuccessful registrations with the other methods. We conclude that when utilizing the Elekta XVI automated IR software, the extended FOI/single IR results in successful registrations most often. In addition, it is currently effectively used in our clinical practice.
机译:CBCT与参考CT的对齐称为图像配准(IR)。使用自动Elekta XVI IR软件进行前列腺IGRT的参数仍有待确定。在这项研究中,我们比较了几个自动XVI红外参数与手动配准,以识别前列腺的最佳自动红外技术。如下进行280次前列腺IR:使用7例患者的70次CBCT扫描进行210次自动IR和70次手动IR。自动注册的三个分支是:(i)扩展的FOI /骨骼+灰度级(双IR); (ii)有限的FOI / GS(单一IR); (iii)扩展的FOI / GS(单个IR)。将自动IR与手动IR进行比较;记录了x,y,z偏移,故障和错误以进行离线分析。基于最成功的参数,制定了部门规程,并执行了432次自动IR(对20例患者)以进行分析。自动IR分为:成功,失败,错误或未注册。在第1组中,成功,失败,错误和未注册IR的发生率分别为:第2组:成功90%,失败10%,第3组:100%成功的52.8%,1.5%,8.6%,37.1%。使用432自动IR的arm 3参数,未注册扫描的发生率为0%,在1%的处理中需要重新扫描,并且执行自动IR的时间小于5.5分钟。我们发现,扩展的FOI +单(GS)IR导致的移位与使用自动化XVI软件的手动IR相当。使用其他方法,我们经历了多次失败的注册。我们得出的结论是,在使用Elekta XVI自动IR软件时,扩展的FOI /单个IR最经常导致注册成功。另外,它目前在我们的临床实践中有效使用。

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