Jiang Yuchong Rachel, Sykes Edward R
Faculty of Applied Science and Technology, Sheridan College Institute of Technology and Advanced Learning, 1430 Trafalgar Road, Oakville, Ontario, Canada,
Int J Comput Assist Radiol Surg. 2015 Apr;10(4):373-81. doi: 10.1007/s11548-014-1092-y. Epub 2014 Jul 8.
Brachytherapy is an option for treatment of breast cancer in some cases. This modality requires patient-specific dosimetry based on CT simulator scans. A 3D computer-assisted breast brachytherapy treatment planning system called Vision was developed and tested.
The brachytherapy treatment planning system used volume estimation and dose analysis with advanced 3D visualization. The patient treatment volume reconstruction was designed to ensure high-volume accuracy requirement of radioactive seed implantation procedure for this treatment. The system enables interactive placement of radioactive seeds embedded in original patient CT images with 3D display.
The system achieved 99.73% accuracy in volume estimation measured against the true volume and is statistically significantly more accurate than current existing commercial software at the p = 0.05 level.
A virtual 3D environment was developed to perform volume measurements, seed placements, and dose distribution planning and analysis based on 2D contours on patient CT images. This system was demonstrated to be feasible and accurate in a clinical setting.
近距离放射疗法在某些情况下是治疗乳腺癌的一种选择。这种治疗方式需要基于CT模拟扫描进行患者特异性剂量测定。开发并测试了一种名为Vision的三维计算机辅助乳腺近距离放射治疗计划系统。
近距离放射治疗计划系统采用体积估计和剂量分析,并具备先进的三维可视化功能。患者治疗体积重建旨在确保该治疗中放射性种子植入程序对高体积精度的要求。该系统能够在原始患者CT图像中交互式放置放射性种子并进行三维显示。
该系统在体积估计方面相对于真实体积的准确率达到99.73%,在p = 0.05水平上,其准确性在统计学上显著高于现有的商业软件。
开发了一个虚拟三维环境,用于基于患者CT图像上的二维轮廓进行体积测量、种子放置以及剂量分布规划和分析。该系统在临床环境中被证明是可行且准确的。