Literature DB >> 23845843

Comparison of various online strategies to account for interfractional variations for pancreatic cancer.

Ergun E Ahunbay1, Brad Kimura, Feng Liu, Beth A Erickson, X Allen Li.   

Abstract

PURPOSE: To identify practical techniques to address the large interfractional variations for pancreas irradiation by comparing various used/proposed online strategies. METHODS AND MATERIALS: The daily computed tomography (CT) images acquired using a respiration-gated in-room CT (CTVision; Siemens) for 10 pancreatic cancer patients treated with image guided radiation therapy (IGRT) were analyzed. The contours of the pancreas and organs at risk on each daily CT set were generated by populating from the planning CT using a deformable registration tool (ABAS; Elekta) with manual editing. Nine online strategies were considered: (1) standard IGRT (ie, IGRT with 0-mm additional margin [AM]); (2) IGRT with 2-mm AM; (3) IGRT with 5-mm AM; (4) IGRT with plan renormalized to maintain 95% planning target volume (PTV) coverage; (5) full-scale reoptimization; (6) reoptimization starting from the original plan; (7) segment aperture morphing (SAM) from the original plan, based on PTV shape change; (8) SAM plus segment weight optimization; and (9) reoptimization starting from the SAM plan. One-way analysis of variance was applied to plan qualities for the 9 strategies to assess statistical significance in difference.
RESULTS: The 3 IGRT strategies (1-3) lead to either inadequate PTV coverage or higher doses to critical structures, indicating that the additional margins alone are not adequate to account for the changes. The full-scale reoptimization results in the best plan but requires the delineation of several structures, which is time consuming. The SAM strategy (7) was the fastest one, because it requires delineating only 1 structure (target), and its plan quality was comparable to that for the full-scale reoptimization.
CONCLUSION: Online replanning strategies can lead to either reduced organs-at-risk dose and/or improved target coverage as compared with the current practice of IGRT. The SAM-based online replanning is comparable to full-scale reoptimization and is efficient for practical use.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23845843     DOI: 10.1016/j.ijrobp.2013.04.032

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


  6 in total

Review 1.  Motion management in gastrointestinal cancers.

Authors:  Hassan Abbas; Bryan Chang; Zhe Jay Chen
Journal:  J Gastrointest Oncol       Date:  2014-06

2.  Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation.

Authors:  Yi Rong; Mihaela Rosu-Bubulac; Stanley H Benedict; Yunfeng Cui; Russell Ruo; Tanner Connell; Rojano Kashani; Kujtim Latifi; Quan Chen; Huaizhi Geng; Jason Sohn; Ying Xiao
Journal:  Pract Radiat Oncol       Date:  2021-03-02

3.  Worst case optimization for interfractional motion mitigation in carbon ion therapy of pancreatic cancer.

Authors:  Julian Steitz; Patrick Naumann; Silke Ulrich; Matthias F Haefner; Florian Sterzing; Uwe Oelfke; Mark Bangert
Journal:  Radiat Oncol       Date:  2016-10-07       Impact factor: 3.481

4.  An adaptive planning strategy in carbon ion therapy of pancreatic cancer involving beam angle selection.

Authors:  Motohiro Kawashima; Mutsumi Tashiro; Maria Varnava; Shintaro Shiba; Toshiaki Matsui; Shohei Okazaki; Yang Li; Shuichiro Komatsu; Hidemasa Kawamura; Masahiko Okamoto; Tatsuya Ohno
Journal:  Phys Imaging Radiat Oncol       Date:  2022-02-12

5.  MRI quantification of pancreas motion as a function of patient setup for particle therapy -a preliminary study.

Authors:  Giulia Fontana; Marco Riboldi; Chiara Gianoli; Cezarina I Chirvase; Gaetano Villa; Chiara Paganelli; Paul E Summers; Barbara Tagaste; Andrea Pella; Piero Fossati; Mario Ciocca; Guido Baroni; Francesca Valvo; Roberto Orecchia
Journal:  J Appl Clin Med Phys       Date:  2016-09-08       Impact factor: 2.102

6.  Adaptive planning based on single beam optimization in passive scattering carbon ion radiotherapy for patients with pancreatic cancer.

Authors:  Yang Li; Yoshiki Kubota; Masahiko Okamoto; Shintaro Shiba; Shohei Okazaki; Toshiaki Matsui; Mutsumi Tashiro; Takashi Nakano; Tatsuya Ohno
Journal:  Radiat Oncol       Date:  2021-06-19       Impact factor: 3.481

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.