|Table of Contents|

 Comparison between CBCT calibrations based on skeleton vs implanted markers in image-guided radiotherapy for bladder cancer(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2019年第6期
Page:
647-652
Research Field:
医学放射物理
Publishing date:

Info

Title:
 Comparison between CBCT calibrations based on skeleton vs implanted markers in image-guided radiotherapy for bladder cancer
Author(s):
 TIAN Long1 XI Qiang1 ZHAO Xin1 LIU Yuexia2 ZHANG Zunhao3
 1. The First Affiliated Hospital of Hebei North University, Zhangjiakou 075000, China; 2. School of Clinical Medicine, Zhangjiakou Education College, Zhangjiakou 075000, China; 3. The First Hospital of Hebei Medical University, Shijiazhuang 050000, China
Keywords:
 Keywords: bladder cancer cone beam computed tomography image-guided radiotherapy adjacent skeleton implanted marker
PACS:
1005-202X(2019)06-0647-06
DOI:
DOI:10.3969/j.issn.1005-202X.2019.06.006
Abstract:
 Abstract: Objective With the calibration based on implanted markers as a reference, to compare the differences in accuracy between calibrations based on skeleton vs implanted marker. Methods Twelve bladder cancer patients who were implanted with markers were enrolled in this study. Before treatment, all patients were scanned with MV-cone beam computed tomography, and two different calibrations, namely implanted markers-based calibration and skeleton-based calibration, were performed. Finally, a retrospective analysis on the mean differences in left-right, superior-inferior, anterior-posterior directions and 3D spatial vectors was carried out. Results The mean differences between the two calibrations in left-right, superior-inferior, anterior-posterior directions and 3D spatial vectors were 3.2, 6.1, 2.6 and 8.6 mm, respectively. Conclusion In the image-guided radiotherapy for bladder cancer, the accuracy of automatic calibration based on adjacent skeleton is inferior to that of manual calibration based on bladder implanted markers. Avoiding implanted markers, establishing a novel image computational algorithm and exploring a new analysis method are the future trends.

References:

Memo

Memo:
-
Last Update: 2019-06-25