Riegel Adam C, Cooney Ann, To Samantha, Guest Deborah, Lee Brisca, Lim May, Potters Louis
Department of Radiation Medicine, Northwell Health, Lake Success, NY; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY.
Department of Radiation Medicine, Northwell Health, Lake Success, NY.
Brachytherapy. 2022 Nov-Dec;21(6):853-863. doi: 10.1016/j.brachy.2022.07.002. Epub 2022 Jul 31.
Combining external beam radiation therapy (EBRT) and prostate seed implant (PSI) is efficacious in treating intermediate- and high-risk prostate cancer at the cost of increased genitourinary toxicity. Accurate combined dosimetry remains elusive due to lack of registration between treatment plans and different biological effect. The current work proposes a method to convert physical dose to biological effective dose (BED) and spatially register the dose distributions for more accurate combined dosimetry.
A PSI phantom was CT scanned with and without seeds under rigid and deformed transformations. The resulting CTs were registered using image-based rigid registration (RI), fiducial-based rigid registration (RF), or b-spline deformable image registration (DIR) to determine which was most accurate. Physical EBRT and PSI dose distributions from a sample of 91 previously-treated combined-modality prostate cancer patients were converted to BED and registered using RI, RF, and DIR. Forty-eight (48) previously-treated patients whose PSI occurred before EBRT were included as a "control" group due to inherent registration. Dose-volume histogram (DVH) parameters were compared for RI, RF, DIR, DICOM, and scalar addition of DVH parameters using ANOVA or independent Student's t tests (α = 0.05).
In the phantom study, DIR was the most accurate registration algorithm, especially in the case of deformation. In the patient study, dosimetry from RI was significantly different than the other registration algorithms, including the control group. Dosimetry from RF and DIR were not significantly different from the control group or each other.
Combined dosimetry with BED and image registration is feasible. Future work will utilize this method to correlate dosimetry with clinical outcomes.
外照射放疗(EBRT)与前列腺籽源植入(PSI)联合使用在治疗中高危前列腺癌方面是有效的,但代价是泌尿生殖系统毒性增加。由于治疗计划与不同生物效应之间缺乏配准,准确的联合剂量测定仍然难以实现。当前的工作提出了一种将物理剂量转换为生物有效剂量(BED)并对剂量分布进行空间配准的方法,以实现更准确的联合剂量测定。
对一个PSI体模在有籽源和无籽源的情况下进行CT扫描,分别经历刚性变换和变形变换。使用基于图像的刚性配准(RI)、基于基准点的刚性配准(RF)或b样条可变形图像配准(DIR)对所得CT图像进行配准,以确定哪种方法最准确。将91例先前接受联合治疗的前列腺癌患者样本的物理EBRT和PSI剂量分布转换为BED,并使用RI、RF和DIR进行配准。由于存在固有的配准关系,48例先前接受治疗且PSI在EBRT之前进行的患者被纳入“对照组”。使用方差分析或独立样本t检验(α = 0.05)比较RI、RF、DIR、DICOM以及DVH参数的标量相加的剂量体积直方图(DVH)参数。
在体模研究中,DIR是最准确的配准算法,尤其是在变形情况下。在患者研究中,RI的剂量测定与其他配准算法(包括对照组)有显著差异。RF和DIR的剂量测定与对照组之间以及它们彼此之间没有显著差异。
结合BED和图像配准的联合剂量测定是可行的。未来的工作将利用这种方法将剂量测定与临床结果相关联。