Literature DB >> 27130729

Potential dosimetric benefit of an adaptive plan selection strategy for short-course radiotherapy in rectal cancer patients.

Lotte J Lutkenhaus1, Rianne de Jong2, Elisabeth D Geijsen2, Jorrit Visser2, Niek van Wieringen2, Arjan Bel2.   

Abstract

PURPOSE: An adaptive plan selection strategy can account for daily target volume variations for radiotherapy in rectal cancer patients. The aim was to quantify the daily dosimetric consequences of plan selection compared to a non-adaptive approach.
MATERIALS AND METHODS: Ten patients with rectal cancer, treated with 25Gy in five fractions to the mesorectum and pelvic lymph nodes, were selected. The adaptive strategy was simulated by creating three plans per patient, with varying upper ventral PTV margins, and selecting the smallest PTV covering the entire mesorectum on every daily CBCT scan. Subsequently, mesorectum, bladder, and bowel cavity were delineated on these scans. Daily dose-volume histograms were calculated for both the adaptive and non-adaptive plan, with a ventral PTV margin of 20mm. Coverage of the mesorectum, defined as V95%>99%, was calculated, as well as bladder and bowel cavity V95% and V15Gy.
RESULTS: In one patient, mesorectum coverage improved. A reduction in bladder V95% and bowel cavity V15Gy was found, of 6.9% and 18.4cm(3) (p<0.01), respectively.
CONCLUSION: Plan selection for radiotherapy in rectal cancer can improve coverage of the target volume. Overall dosimetric sparing of bladder and bowel cavity was limited but could be beneficial for individual patients.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adaptive radiotherapy; Normal tissue sparing; Plan selection; Rectal cancer; Short-course treatment

Mesh:

Year:  2016        PMID: 27130729     DOI: 10.1016/j.radonc.2016.04.018

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  6 in total

1.  Online adaptive radiotherapy compared to plan selection for rectal cancer: quantifying the benefit.

Authors:  R de Jong; K F Crama; J Visser; N van Wieringen; J Wiersma; E D Geijsen; A Bel
Journal:  Radiat Oncol       Date:  2020-07-08       Impact factor: 3.481

Review 2.  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

3.  Pre-clinical experience of an adaptive plan library strategy in radiotherapy of rectal cancer: An inter-observer study.

Authors:  Suzanne van Beek; Anja Betgen; Monica Buijs; Jikke Stam; Lisa Hartgring; Baukelien van Triest; Peter Remeijer
Journal:  Phys Imaging Radiat Oncol       Date:  2018-06-19

4.  Patterns of practice for adaptive and real-time radiation therapy (POP-ART RT) part II: Offline and online plan adaption for interfractional changes.

Authors:  Jenny Bertholet; Gail Anastasi; David Noble; Arjan Bel; Ruud van Leeuwen; Toon Roggen; Michael Duchateau; Sara Pilskog; Cristina Garibaldi; Nina Tilly; Rafael García-Mollá; Jorge Bonaque; Uwe Oelfke; Marianne C Aznar; Ben Heijmen
Journal:  Radiother Oncol       Date:  2020-06-21       Impact factor: 6.280

5.  CT-Only Radiotherapy: An Exploratory Study for Automatic Dose Prediction on Rectal Cancer Patients Via Deep Adversarial Network.

Authors:  Jiaqi Cui; Zhengyang Jiao; Zhigong Wei; Xiaolin Hu; Yan Wang; Jianghong Xiao; Xingchen Peng
Journal:  Front Oncol       Date:  2022-07-18       Impact factor: 5.738

6.  Feasibility of Conebeam CT-based online adaptive radiotherapy for neoadjuvant treatment of rectal cancer.

Authors:  Rianne de Jong; Jorrit Visser; Niek van Wieringen; Jan Wiersma; Debby Geijsen; Arjan Bel
Journal:  Radiat Oncol       Date:  2021-07-23       Impact factor: 3.481

  6 in total

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