Department of Radiation Oncology, School of Medicine, Gyeongsang National University, Jinju, Republic of Korea.
Department of Radiation Oncology, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea.
Comput Math Methods Med. 2022 Oct 20;2022:2964023. doi: 10.1155/2022/2964023. eCollection 2022.
This study quantitatively analyzed the gain of the six-dimensional (6D) cone-beam CT (CBCT) correction method compared with the conventional set-up method in 60 patients who underwent radiation treatment of head and neck and brain tumors. The correction gain of CBCT was calculated for the translational and rotational motion components separately and in combination to evaluate the individual and overall effects of these motion components. Using a statistical simulation mimicking the actual set-up correction process, the effective gain of periodic CBCT correction during the entire treatment fraction was analyzed by target size and CBCT correction period under two different correction scenarios: translation alone and full 6D corrections. From the analyses performed in this study, the gain of CBCT correction was quantitatively determined for each situation, and the appropriate CBCT correction strategy was suggested based on treatment purpose and target size.
本研究通过对 60 例头颈部肿瘤和脑肿瘤放射治疗患者进行分析,定量评估了六维度(6D)锥形束 CT(CBCT)校正方法与传统摆位方法相比的增益。我们分别对 CBCT 的平移和旋转运动分量进行校正增益计算,并将其进行组合,以评估这些运动分量的个体和总体效果。通过模拟实际摆位校正过程的统计模拟,我们分析了在两种不同校正方案下,即单独平移校正和全 6D 校正,目标大小和 CBCT 校正周期对整个分次治疗中周期性 CBCT 校正的有效增益。通过对本研究中进行的分析,我们对每种情况的 CBCT 校正增益进行了定量确定,并根据治疗目的和目标大小提出了适当的 CBCT 校正策略。