Improving the accuracy of motion quantification using area detector computed tomography for real-time tumor-tracking irradiation in stereotactic ablative radiotherapy

被引:1
作者
Suzuki, Kentaro [1 ]
Usui, Keisuke [2 ]
Sasai, Keisuke [3 ]
机构
[1] Juntendo Univ, Grad Sch Med, Dept Radiat Oncol, Tokyo 1138421, Japan
[2] Juntendo Univ, Fac Hlth Sci, Fac Med, Dept Radiol Technol, Tokyo 1138421, Japan
[3] Juntendo Univ, Fac Med, Dept Radiat Oncol, Tokyo 1138421, Japan
关键词
Four-dimensional computed tomography; Real-time tumor-tracking irradiation; Stereotactic body radiotherapy; Respiratory motion; Tumor delineation; BODY RADIOTHERAPY;
D O I
10.1016/j.meddos.2022.02.005
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
CyberKnife radiotherapy enables tumor-tracking irradiation using positional information regarding the tumor and a fiducial marker in a patient's body. This positional information acts as a surrogate of tumor motion. Therefore, deviations in these movements should be quantitatively estimated and included as an internal margin for radiation treatment planning. This study aimed to investigate variations between the positions of fiducial markers and tumor regions using 320-row area detector computed tomography and to analyze the effectiveness of our proposed method in contouring tumor regions based on the fiducial marker position. To determine the moving tumor volume, a typical single-phase image was selected, and pixel values in other phase images were accumulated. Moreover, a maximum-intensity projection image was created to clarify motion deviations in the tumor volume. To evaluate the delineation accuracy, the dice similarity coefficient and mean distance to agreement were calculated in phase-selected and breath-holding computed tomography. Moving chest phantom images were acquired using helical scanning 4-dimensional computed tomography (H-4DCT) and volumetric scanning 4-dimensional computed tomography (V-4DCT), and the delineation accuracies were compared for each scanning type. The average dice similarity coefficient and mean distance to agreement were degraded in limited-phase images, which cannot represent the hysteretic motion of a tumor. Moreover, deviations in tumor volume with unstable motion reached 71.6% in H-4DCT but only 1.6% in V-4DCT. Our proposed method with V-4DCT using area detector computed tomography can achieve accurate moving tumor delineation and can clarify positional associations between the fiducial marker and tumor under respiratory motion. (C) 2022 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:166 / 172
页数:7
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