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肺癌伴阻塞性肺叶萎陷放疗中MRI-CT融合不同配准标记物的比较。

Comparison of different registration landmarks for MRI-CT fusion in radiotherapy for lung cancer with post-obstructive lobar collapse.

作者信息

Han Qian, Liang Hengpo, Cheng Peng, Shi Dapeng

机构信息

Department of Radiotherapy, The People's Hospital of Zhengzhou University (Henan Provincial People's Hospital), Zhengzhou, Henan, China.

Department of Radiology, The People's Hospital of Zhengzhou University (Henan Provincial People's Hospital), Zhengzhou, Henan, China.

出版信息

J Appl Clin Med Phys. 2019 Jan;20(1):50-54. doi: 10.1002/acm2.12495. Epub 2018 Nov 22.

DOI:10.1002/acm2.12495
PMID:30565844
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6333186/
Abstract

The registration of the two sets of images based on the spine and pulmonary artery landmarks and the geometric center difference of the mean displacement in the X, Y, and Z directions (X, Y, and Z represent the directions of the body from left to right, superior to inferior, and anterior to posterior) between their MRI-CT fusions were compared, respectively. Fifty-five lung cancer patients with post-obstructive lobar collapse were enrolled in this study. Before radiation, two sets of simulating images according to the spine and the pulmonary artery registrations were obtained for each patient using MRI-CT fusion. The differences of mean displacement in the X, Y, and Z directions based on spine and pulmonary artery landmarks were of -0.29, 0.25, and 0.18 cm, respectively. The mean displacements of the pulmonary artery based images in the three directions were smaller than that in the spine registration images (P < 0.05). By the method of pulmonary artery landmark, MRI-CT has better registration accuracy and can better help confirm the target volume.

摘要

分别比较了基于脊柱和肺动脉标志点的两组图像配准情况,以及它们的MRI-CT融合图像在X、Y和Z方向(X、Y和Z分别代表身体从左到右、从上到下、从前到后的方向)上平均位移的几何中心差异。本研究纳入了55例伴有阻塞性肺叶萎陷的肺癌患者。放疗前,利用MRI-CT融合技术为每位患者获取两组根据脊柱和肺动脉配准的模拟图像。基于脊柱和肺动脉标志点,X、Y和Z方向上的平均位移差异分别为-0.29、0.25和0.18厘米。基于肺动脉图像在三个方向上的平均位移均小于基于脊柱配准图像的平均位移(P<0.05)。通过肺动脉标志点法,MRI-CT具有更好的配准精度,能够更好地帮助确定靶区体积。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d18/6333186/64d66c167e3f/ACM2-20-50-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d18/6333186/06dd2a346731/ACM2-20-50-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d18/6333186/64d66c167e3f/ACM2-20-50-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d18/6333186/06dd2a346731/ACM2-20-50-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d18/6333186/64d66c167e3f/ACM2-20-50-g002.jpg

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