Clinical Oncology Unit, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Department of Biomedical Imaging, Universiti Malaya, Kuala Lumpur, Malaysia.
Phys Eng Sci Med. 2024 Sep;47(3):881-894. doi: 10.1007/s13246-024-01411-2. Epub 2024 Apr 22.
This study aims to assess the accuracy of automatic atlas-based contours for various key anatomical structures in prostate radiotherapy treatment planning. The evaluated structures include the bladder, rectum, prostate, seminal vesicles, femoral heads and penile bulb. CT images from 20 patients who underwent intensity-modulated radiotherapy were randomly chosen to create an atlas library. Atlas contours of the seven anatomical structures were generated using four software packages: ABAS, Eclipse, MIM, and RayStation. These contours were then compared to manual delineations performed by oncologists, which served as the ground truth. Evaluation metrics such as dice similarity coefficient (DSC), mean distance to agreement (MDA), and volume ratio (VR) were calculated to assess the accuracy of the contours. Additionally, the time taken by each software to generate the atlas contour was recorded. The mean DSC values for the bladder exhibited strong agreement (>0.8) with manual delineations for all software except for Eclipse and RayStation. Similarly, the femoral heads showed significant similarity between the atlas contours and ground truth across all software, with mean DSC values exceeding 0.9 and MDA values close to zero. On the other hand, the penile bulb displayed only moderate agreement with the ground truth, with mean DSC values ranging from 0.5 to 0.7 for all software. A similar trend was observed in the prostate atlas contours, except for MIM, which achieved a mean DSC of over 0.8. For the rectum, both ABAS and MIM atlases demonstrated strong agreement with the ground truth, resulting in mean DSC values of more than 0.8. Overall, MIM and ABAS outperformed Eclipse and RayStation in both DSC and MDA. These results indicate that the atlas-based segmentation employed in this study produces acceptable contours for the anatomical structures of interest in prostate radiotherapy treatment planning.
本研究旨在评估自动图谱基轮廓在前列腺放射治疗计划中各种关键解剖结构的准确性。评估的结构包括膀胱、直肠、前列腺、精囊、股骨头和阴茎球。从接受强度调制放射治疗的 20 名患者中随机选择 CT 图像，以创建图谱库。使用四个软件包（ABAS、Eclipse、MIM 和 RayStation）生成七个解剖结构的图谱轮廓。然后将这些轮廓与肿瘤学家进行的手动描绘进行比较，作为基准。计算了骰子相似系数（DSC）、平均一致性距离（MDA）和体积比（VR）等评估指标，以评估轮廓的准确性。此外，还记录了每个软件生成图谱轮廓所需的时间。除了 Eclipse 和 RayStation 之外，所有软件的膀胱平均 DSC 值均与手动描绘表现出强烈的一致性（>0.8）。同样，所有软件的股骨头图谱轮廓与基准之间都表现出显著的相似性，平均 DSC 值超过 0.9，MDA 值接近零。另一方面，阴茎球与基准的一致性仅为中度，所有软件的平均 DSC 值范围为 0.5 至 0.7。在前列腺图谱轮廓中观察到类似的趋势，除了 MIM，其平均 DSC 值超过 0.8。对于直肠，ABAS 和 MIM 图谱与基准均表现出强烈的一致性，导致平均 DSC 值超过 0.8。总体而言，MIM 和 ABAS 在 DSC 和 MDA 方面均优于 Eclipse 和 RayStation。这些结果表明，本研究中使用的图谱分割方法为前列腺放射治疗计划中的感兴趣的解剖结构生成了可接受的轮廓。
