Literature DB >> 25015200

Dosimetrically triggered adaptive intensity modulated radiation therapy for cervical cancer.

Karen Lim1, James Stewart2, Valerie Kelly3, Jason Xie4, Kristy K Brock5, Joanne Moseley4, Young-Bin Cho3, Anthony Fyles3, Anna Lundin6, Henrik Rehbinder6, Johan Löf6, David A Jaffray7, Michael Milosevic8.   

Abstract

PURPOSE: The widespread use of intensity modulated radiation therapy (IMRT) for cervical cancer has been limited by internal target and normal tissue motion. Such motion increases the risk of underdosing the target, especially as planning margins are reduced in an effort to reduce toxicity. This study explored 2 adaptive strategies to mitigate this risk and proposes a new, automated method that minimizes replanning workload. METHODS AND MATERIALS: Thirty patients with cervical cancer participated in a prospective clinical study and underwent pretreatment and weekly magnetic resonance (MR) scans over a 5-week course of daily external beam radiation therapy. Target volumes and organs at risk (OARs) were contoured on each of the scans. Deformable image registration was used to model the accumulated dose (the real dose delivered to the target and OARs) for 2 adaptive replanning scenarios that assumed a very small PTV margin of only 3 mm to account for setup and internal interfractional motion: (1) a preprogrammed, anatomy-driven midtreatment replan (A-IMRT); and (2) a dosimetry-triggered replan driven by target dose accumulation over time (D-IMRT).
RESULTS: Across all 30 patients, clinically relevant target dose thresholds failed for 8 patients (27%) if 3-mm margins were used without replanning. A-IMRT failed in only 3 patients and also yielded an additional small reduction in OAR doses at the cost of 30 replans. D-IMRT assured adequate target coverage in all patients, with only 23 replans in 16 patients.
CONCLUSIONS: A novel, dosimetry-triggered adaptive IMRT strategy for patients with cervical cancer can minimize the risk of target underdosing in the setting of very small margins and substantial interfractional motion while minimizing programmatic workload and cost.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25015200     DOI: 10.1016/j.ijrobp.2014.05.039

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


  7 in total

1.  Practical Clinical Workflows for Online and Offline Adaptive Radiation Therapy.

Authors:  Olga L Green; Lauren E Henke; Geoffrey D Hugo
Journal:  Semin Radiat Oncol       Date:  2019-07       Impact factor: 5.934

2.  Adaptive Radiotherapy: Moving Into the Future.

Authors:  Kristy K Brock
Journal:  Semin Radiat Oncol       Date:  2019-07       Impact factor: 5.934

Review 3.  Adaptive proton therapy.

Authors:  Harald Paganetti; Pablo Botas; Gregory C Sharp; Brian Winey
Journal:  Phys Med Biol       Date:  2021-11-15       Impact factor: 3.609

4.  Bladder surface dose modeling in prostate cancer radiotherapy: An analysis of motion-induced variations and the cumulative dose across the treatment.

Authors:  Yi Lao; Minsong Cao; Yingli Yang; Amar U Kishan; Wensha Yang; Yalin Wang; Ke Sheng
Journal:  Med Phys       Date:  2021-11-16       Impact factor: 4.071

Review 5.  Realizing the potential of magnetic resonance image guided radiotherapy in gynaecological and rectal cancer.

Authors:  Ingrid M White; Erica Scurr; Andreas Wetscherek; Gina Brown; Aslam Sohaib; Simeon Nill; Uwe Oelfke; David Dearnaley; Susan Lalondrelle; Shreerang Bhide
Journal:  Br J Radiol       Date:  2019-05-14       Impact factor: 3.039

6.  Comparison of survival, acute toxicities, and dose-volume parameters between intensity-modulated radiotherapy with or without internal target volume delineation method and three-dimensional conformal radiotherapy in cervical cancer patients: A retrospective and propensity score-matched analysis.

Authors:  Yu-Qin Liang; Sen-Quan Feng; Wen-Jia Xie; Qiong-Zhi Jiang; Yan-Fen Yang; Ren Luo; Elizabeth A Kidd; Tian-Tian Zhai; Liang-Xi Xie
Journal:  Cancer Med       Date:  2021-11-24       Impact factor: 4.452

7.  RTT-led IGRT for cervix cancer; training, implementation and validation.

Authors:  S E Alexander; N Hopkins; S Lalondrelle; A Taylor; K Titmarsh; H A McNair
Journal:  Tech Innov Patient Support Radiat Oncol       Date:  2019-12-16
  7 in total

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