Dyer Brandon A, Yuan Zilong, Qiu Jianfeng, Benedict Stanley H, Valicenti Richard K, Mayadev Jyoti S, Rong Yi
Department of Radiation Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, CA.
Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; Department of Radiation Oncology, University of California Davis Comprehensive Cancer Center, Sacramento, CA.
Brachytherapy. 2019 May-Jun;18(3):378-386. doi: 10.1016/j.brachy.2019.01.001. Epub 2019 Feb 7.
To identify factors associated with MRI-to-CT image deformation accuracy and modes of failure for MRI-optimized intracavitary high-dose-rate treatment of locally advanced cervical cancer.
Twenty-six patients with locally advanced cervical cancer had preimplantation MRI registered and deformed to postimplantation CT images using anatomically constrained and biomechanical model-based deformable image registration (DIR) algorithms. Cervix (primary) and cervix plus 10-mm margin (secondary) were used as controlling regions of interest for deformation. High-risk clinical target volume defined on pre-MRI was propagated to CT and evaluated for clinical utility in optimizing target volumes using scores 0 (low performing) to 4 (high performing). Quantitative evaluation of deformation performance included Dice index, distance to agreement, center of mass (COM) differences, cervical/uterus volume, and geometric change in organ position for MR-projected structures. Statistical analysis was performed to identify predictors of clinical utility and modes of failure.
Anatomically constrained and biomechanical model-based deformable image registration algorithms achieved clinical utility >3 in 65% and 81% of patients, respectively. This improved to 81% and 85%, respectively, if cervix plus margin was used to drive deformations. Total COM displacement (cervix plus uterus) had the highest sensitivity in predicting low from high clinical utility in optimizing target volumes. Deformation failure (low clinical utility) resulted from high COM displacement, high cervical volume change, and retroverted uterine anatomy.
MRI-to-CT deformable image registration using a cervix-controlling region of interest can aid clinical target delineation in cervical brachytherapy and potentially improve brachytherapy implant quality and clinical workflow. Deformation failures warrant further study and prospective deformation validation.
确定与MRI到CT图像变形准确性以及局部晚期宫颈癌MRI优化腔内高剂量率治疗失败模式相关的因素。
26例局部晚期宫颈癌患者在植入前进行了MRI扫描,并使用基于解剖约束和生物力学模型的可变形图像配准(DIR)算法将其变形为植入后CT图像。子宫颈(主要)和子宫颈加10毫米边缘(次要)用作变形的控制感兴趣区域。在MRI上定义的高危临床靶区被传播到CT上,并使用0(低效能)至4(高效能)的评分评估其在优化靶区中的临床效用。变形性能的定量评估包括Dice指数、一致性距离、质心(COM)差异、子宫颈/子宫体积以及MR投影结构的器官位置几何变化。进行统计分析以确定临床效用的预测因素和失败模式。
基于解剖约束和生物力学模型的可变形图像配准算法分别在65%和81%的患者中实现了临床效用>3。如果使用子宫颈加边缘来驱动变形,这一比例分别提高到81%和85%。在优化靶区时,总COM位移(子宫颈加子宫)在预测低临床效用与高临床效用方面具有最高的敏感性。变形失败(低临床效用)是由高COM位移、高子宫颈体积变化和子宫后倾解剖结构导致的。
使用子宫颈控制感兴趣区域的MRI到CT可变形图像配准有助于宫颈癌近距离治疗中的临床靶区勾画,并可能提高近距离治疗植入质量和临床工作流程。变形失败值得进一步研究和前瞻性变形验证。