Suppr超能文献

使用基于点的刚体配准算法提高植入基准标记患者在加速部分乳腺照射中的配准精度。

Improvement of registration accuracy in accelerated partial breast irradiation using the point-based rigid-body registration algorithm for patients with implanted fiducial markers.

作者信息

Inoue Minoru, Yoshimura Michio, Sato Sayaka, Nakamura Mitsuhiro, Yamada Masahiro, Hirata Kimiko, Sasaki Makoto, Fujimoto Takahiro, Ogura Masakazu, Hiraoka Masahiro

机构信息

Department of Radiation Oncology and Image-Applied Therapy, Kyoto University Graduate School of Medicine, Kyoto 606-8507, Japan.

Division of Clinical Radiology Service, Kyoto University Hospital, Kyoto 606-8507, Japan.

出版信息

Med Phys. 2015 Apr;42(4):1904-10. doi: 10.1118/1.4915534.

Abstract

PURPOSE

To investigate image-registration errors when using fiducial markers with a manual method and the point-based rigid-body registration (PRBR) algorithm in accelerated partial breast irradiation (APBI) patients, with accompanying fiducial deviations.

METHODS

Twenty-two consecutive patients were enrolled in a prospective trial examining 10-fraction APBI. Titanium clips were implanted intraoperatively around the seroma in all patients. For image-registration, the positions of the clips in daily kV x-ray images were matched to those in the planning digitally reconstructed radiographs. Fiducial and gravity registration errors (FREs and GREs, respectively), representing resulting misalignments of the edge and center of the target, respectively, were compared between the manual and algorithm-based methods.

RESULTS

In total, 218 fractions were evaluated. Although the mean FRE/GRE values for the manual and algorithm-based methods were within 3 mm (2.3/1.7 and 1.3/0.4 mm, respectively), the percentages of fractions where FRE/GRE exceeded 3 mm using the manual and algorithm-based methods were 18.8%/7.3% and 0%/0%, respectively. Manual registration resulted in 18.6% of patients with fractions of FRE/GRE exceeding 5 mm. The patients with larger clip deviation had significantly more fractions showing large FRE/GRE using manual registration.

CONCLUSIONS

For image-registration using fiducial markers in APBI, the manual registration results in more fractions with considerable registration error due to loss of fiducial objectivity resulting from their deviation. The authors recommend the PRBR algorithm as a safe and effective strategy for accurate, image-guided registration and PTV margin reduction.

摘要

目的

研究在加速部分乳腺照射(APBI)患者中使用基准标记物采用手动方法和基于点的刚体配准(PRBR)算法时的图像配准误差以及伴随的基准偏差。

方法

连续22例患者纳入一项前瞻性试验,该试验检查10分次的APBI。所有患者术中在血清肿周围植入钛夹。对于图像配准,将每日千伏X线图像中钛夹的位置与计划数字重建X线片中的位置进行匹配。比较手动方法和基于算法的方法之间分别代表靶区边缘和中心产生的错位的基准配准误差(FRE)和重力配准误差(GRE)。

结果

总共评估了218个分次。虽然手动方法和基于算法的方法的平均FRE/GRE值在3毫米以内(分别为2.3/1.7和1.3/0.4毫米),但使用手动方法和基于算法的方法时FRE/GRE超过3毫米的分次百分比分别为18.8%/7.3%和0%/0%。手动配准导致18.6%的患者出现FRE/GRE超过5毫米的分次。使用手动配准,钛夹偏差较大的患者出现较大FRE/GRE的分次明显更多。

结论

对于APBI中使用基准标记物的图像配准,由于基准偏差导致基准客观性丧失,手动配准会导致更多分次出现相当大的配准误差。作者推荐PRBR算法作为一种安全有效的策略,用于精确的图像引导配准和减少计划靶体积(PTV)边界。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验