Literature DB >> 20472358

Adaptive-predictive organ localization using cone-beam computed tomography for improved accuracy in external beam radiotherapy for bladder cancer.

Susan Lalondrelle1, Robert Huddart, Karole Warren-Oseni, Vibeke Nordmark Hansen, Helen McNair, Karen Thomas, David Dearnaley, Alan Horwich, Vincent Khoo.   

Abstract

PURPOSE: To examine patterns of bladder wall motion during high-dose hypofractionated bladder radiotherapy and to validate a novel adaptive planning method, A-POLO, to prevent subsequent geographic miss. METHODS AND MATERIALS: Patterns of individual bladder filling were obtained with repeat computed tomography planning scans at 0, 15, and 30minutes after voiding. A series of patient-specific plans corresponding to these time-displacement points was created. Pretreatment cone-beam computed tomography was performed before each fraction and assessed retrospectively for adaptive intervention. In fractions that would have required intervention, the most appropriate plan was chosen from the patient's "library," and the resulting target coverage was reassessed with repeat cone-beam computed tomography.
RESULTS: A large variation in patterns of bladder filling and interfraction displacement was seen. During radiotherapy, predominant translations occurred cranially (maximum 2.5 cm) and anteriorly (maximum 1.75 cm). No apparent explanation was found for this variation using pretreatment patient factors. A need for adaptive planning was demonstrated by 51% of fractions, and 73% of fractions would have been delivered correctly using A-POLO. The adaptive strategy improved target coverage and was able to account for intrafraction motion also.
CONCLUSIONS: Bladder volume variation will result in geographic miss in a high proportion of delivered bladder radiotherapy treatments. The A-POLO strategy can be used to correct for this and can be implemented from the first fraction of radiotherapy; thus, it is particularly suited to hypofractionated bladder radiotherapy regimens.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20472358     DOI: 10.1016/j.ijrobp.2009.12.003

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  20 in total

Review 1.  Image-guided radiation therapy for muscle-invasive bladder cancer.

Authors:  Juliette Thariat; Shafak Aluwini; Qiong Pan; Mickael Caullery; Pierre-Yves Marcy; Martin Housset; Jean-Leon Lagrange
Journal:  Nat Rev Urol       Date:  2011-11-08       Impact factor: 14.432

2.  A retrospective review of the long-term outcomes of online adaptive radiation therapy and conventional radiation therapy for muscle invasive bladder cancer.

Authors:  Janice Yeh; Mathias Bressel; Keen Hun Tai; Tomas Kron; Farshad Foroudi
Journal:  Clin Transl Radiat Oncol       Date:  2021-08-06

3.  Comparison of adaptive radiotherapy techniques for the treatment of bladder cancer.

Authors:  G J Webster; J Stratford; J Rodgers; J E Livsey; D Macintosh; A Choudhury
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

4.  Clinical Outcomes of a Randomized Trial of Adaptive Plan-of-the-Day Treatment in Patients Receiving Ultra-hypofractionated Weekly Radiation Therapy for Bladder Cancer.

Authors:  Robert Huddart; Shaista Hafeez; Rebecca Lewis; Helen McNair; Isabelle Syndikus; Ann Henry; John Staffurth; Monisha Dewan; Catalina Vassallo-Bonner; Syed Ali Moinuddin; Alison Birtle; Gail Horan; Yvonne Rimmer; Ramachandran Venkitaraman; Vincent Khoo; Anita Mitra; Simon Hughes; Stephanie Gibbs; Gaurav Kapur; Angela Baker; Vibeke Nordmark Hansen; Emma Patel; Emma Hall
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-12-11       Impact factor: 7.038

5.  The extent and serial pattern of interfractional variation in patients with whole pelvic irradiation: a study using a kilovoltage orthogonal on-board imager.

Authors:  Won Sup Yoon; Dae Sik Yang; Jung Ae Lee; Suk Lee; Young Je Park; Chul Yong Kim
Journal:  J Appl Clin Med Phys       Date:  2012-03-08       Impact factor: 2.102

6.  Introduction of online adaptive radiotherapy for bladder cancer through a multicentre clinical trial (Trans-Tasman Radiation Oncology Group 10.01): Lessons learned.

Authors:  Daniel Pham; Paul Roxby; Tomas Kron; Aldo Rolfo; Farshad Foroudi
Journal:  J Med Phys       Date:  2013-04

7.  Evaluation of inter-observer variability of bladder boundary delineation on cone-beam CT.

Authors:  Kentaro Nishioka; Shinichi Shimizu; Rumiko Kinoshita; Tetsuya Inoue; Shunsuke Onodera; Koichi Yasuda; Keiichi Harada; Yukiko Nishikawa; Rikiya Onimaru; Hiroki Shirato
Journal:  Radiat Oncol       Date:  2013-07-23       Impact factor: 3.481

8.  Prospective phase II study of image-guided local boost using a real-time tumor-tracking radiotherapy (RTRT) system for locally advanced bladder cancer.

Authors:  Kentaro Nishioka; Shinichi Shimizu; Nobuo Shinohara; Yoichi M Ito; Takashige Abe; Satoru Maruyama; Rumiko Kinoshita; Keiichi Harada; Noboru Nishikawa; Naoki Miyamoto; Rikiya Onimaru; Hiroki Shirato
Journal:  Jpn J Clin Oncol       Date:  2013-12-02       Impact factor: 3.019

Review 9.  Applications of linac-mounted kilovoltage Cone-beam Computed Tomography in modern radiation therapy: A review.

Authors:  Kavitha Srinivasan; Mohammad Mohammadi; Justin Shepherd
Journal:  Pol J Radiol       Date:  2014-07-03

Review 10.  Adaptive radiation therapy for bladder cancer: a review of adaptive techniques used in clinical practice.

Authors:  Awet Z Kibrom; Kellie A Knight
Journal:  J Med Radiat Sci       Date:  2015-10-06
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