Literature DB >> 24953244

Assessment of cone beam CT registration for prostate radiation therapy: fiducial marker and soft tissue methods.

Timothy Deegan1, Rebecca Owen, Tanya Holt, Andrew Fielding, Jennifer Biggs, Matthew Parfitt, Alicia Coates, Lisa Roberts.   

Abstract

INTRODUCTION: This investigation aimed to assess the consistency and accuracy of radiation therapists (RTs) performing cone beam computed tomography (CBCT) alignment to fiducial markers (FMs) (CBCTFM ) and the soft tissue prostate (CBCTST ).
METHODS: Six patients receiving prostate radiation therapy underwent daily CBCTs. Manual alignment of CBCTFM and CBCTST was performed by three RTs. Inter-observer agreement was assessed using a modified Bland-Altman analysis for each alignment method. Clinically acceptable 95% limits of agreement with the mean (LoAmean ) were defined as ±2.0 mm for CBCTFM and ±3.0 mm for CBCTST . Differences between CBCTST alignment and the observer-averaged CBCTFM (AvCBCTFM ) alignment were analysed. Clinically acceptable 95% LoA were defined as ±3.0 mm for the comparison of CBCTST and AvCBCTFM .
RESULTS: CBCTFM and CBCTST alignments were performed for 185 images. The CBCTFM 95% LoAmean were within ±2.0 mm in all planes. CBCTST 95% LoAmean were within ±3.0 mm in all planes. Comparison of CBCTST with AvCBCTFM resulted in 95% LoA of -4.9 to 2.6, -1.6 to 2.5 and -4.7 to 1.9 mm in the superior-inferior, left-right and anterior-posterior planes, respectively.
CONCLUSIONS: Significant differences were found between soft tissue alignment and the predicted FM position. FMs are useful in reducing inter-observer variability compared with soft tissue alignment. Consideration needs to be given to margin design when using soft tissue matching due to increased inter-observer variability. This study highlights some of the complexities of soft tissue guidance for prostate radiation therapy.
© 2014 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  cone beam computed tomography; image-guided; observer variation; prostate; radiotherapy

Mesh:

Year:  2014        PMID: 24953244     DOI: 10.1111/1754-9485.12197

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.735


  19 in total

1.  Is it essential to use fiducial markers during cone-beam CT-based radiotherapy for prostate cancer patients?

Authors:  Berna A Yildirim; Cem Onal; Yemliha Dolek
Journal:  Jpn J Radiol       Date:  2016-10-11       Impact factor: 2.374

2.  Utility of an initial adaptive bladder volume control with ultrasonography for proton-beam irradiation for prostate cancer.

Authors:  Shigeyuki Takamatsu; Kazutaka Yamamoto; Mariko Kawamura; Yoshitaka Sato; Satoko Asahi; Tamaki Kondou; Yuuji Tameshige; Yoshikazu Maeda; Makoto Sasaki; Tomoyasu Kumano; Toshifumi Gabata
Journal:  Jpn J Radiol       Date:  2014-08-17       Impact factor: 2.374

3.  Semi-automated prediction approach of target shifts using machine learning with anatomical features between planning and pretreatment CT images in prostate radiotherapy.

Authors:  Yudai Kai; Hidetaka Arimura; Kenta Ninomiya; Tetsuo Saito; Yoshinobu Shimohigashi; Akiko Kuraoka; Masato Maruyama; Ryo Toya; Natsuo Oya
Journal:  J Radiat Res       Date:  2020-03-23       Impact factor: 2.724

4.  Image registration assessment in radiotherapy image guidance based on control chart monitoring.

Authors:  Wenyao Xia; Stephen L Breen
Journal:  J Med Imaging (Bellingham)       Date:  2018-03-14

Review 5.  Target margins in radiotherapy of prostate cancer.

Authors:  Slav Yartsev; Glenn Bauman
Journal:  Br J Radiol       Date:  2016-07-20       Impact factor: 3.039

6.  Are cone beam CT image matching skills transferrable from planning CT to planning MRI for MR-only prostate radiotherapy?

Authors:  Rachel L Brooks; Hazel M McCallum; Rachel A Pearson; Karen Pilling; Jonathan Wyatt
Journal:  Br J Radiol       Date:  2021-04-29       Impact factor: 3.039

7.  Infections after fiducial marker implantation for prostate radiotherapy: are we underestimating the risks?

Authors:  Jasmin Loh; Katie Baker; Swetha Sridharan; Peter Greer; Chris Wratten; Anne Capp; Sarah Gallagher; Jarad Martin
Journal:  Radiat Oncol       Date:  2015-02-13       Impact factor: 3.481

8.  Image-guided radiation therapy using surgical clips for localization of colonic metastasis from thyroid cancer.

Authors:  Alvin Szeto; Lee Chin; Patrick Whelan; Jennifer Wilson; Justin Lee
Journal:  Radiat Oncol       Date:  2014-12-24       Impact factor: 3.481

9.  A Phase II Study of Stereotactic Body Radiation Therapy for Low-Intermediate-High-Risk Prostate Cancer Using Helical Tomotherapy: Dose-Volumetric Parameters Predicting Early Toxicity.

Authors:  Victor A Macias; Manuel L Blanco; Inmaculada Barrera; Rafael Garcia
Journal:  Front Oncol       Date:  2014-11-26       Impact factor: 6.244

10.  Novel Wavelet-Based Segmentation of Prostate CBCT Images with Implanted Calypso Transponders.

Authors:  Yingxia Liu; Ziad Saleh; Yulin Song; Maria Chan; Xiang Li; Chengyu Shi; Xin Qian; Xiaoli Tang
Journal:  Int J Med Phys Clin Eng Radiat Oncol       Date:  2017-08
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