Literature DB >> 28284493

Dosimetric impact of contouring and needle reconstruction uncertainties in US-, CT- and MRI-based high-dose-rate prostate brachytherapy treatment planning.

Susanne Rylander1, Simon Buus2, Erik M Pedersen3, Lise Bentzen2, Kari Tanderup4.   

Abstract

BACKGROUND AND
PURPOSE: The purpose was to evaluate the dosimetric impact of target contouring and needle reconstruction uncertainties in an US-, CT- and MRI-based HDR prostate BT treatment planning.
MATERIAL AND METHODS: US, CT, and MR images were acquired post-needle insertion in 22 HDR-BT procedures for 11 consecutive patients. Dose plans were simulated for an US-, CT- and MRI-based HDR-BT treatment planning procedure. Planning uncertainties in US- and CT-based plans were evaluated using MRI-based planning as reference. Target (CTVProstate) was re-contoured on MRI. Dose results were expressed in total equivalent dose given in 2Gy fractionation dose for EBRT (46Gy) plus 2 HDR-BT fractions.
RESULTS: Uncertainties in US- and CT-based planning caused the planned CTVProstate-D90% to decrease with a mean of 2.9±5.0Gy (p=0.03) and 2.9±2.9Gy (p=0.001), respectively. The intra-observer contouring variation on MRI resulted in a mean variation of 1.6±1.5Gy in CTVProstate-D90%. Reconstruction uncertainties on US resulted in a dose variation of±3Gy to the urethra, whereas data for CT were not available for this.
CONCLUSIONS: Uncertainties related to contouring and reconstruction in US- and CT-based HDR-BT treatment plans resulted in a systematic overestimation of the prescribed target dose. Inter-modality uncertainties (US and CT versus MR) were larger than MR intra-observer uncertainties.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CT-based brachytherapy; High-dose-rate prostate brachytherapy; Intra observer contouring variability; MRI-based brachytherapy; Prostate brachytherapy; US-based brachytherapy

Mesh:

Year:  2017        PMID: 28284493     DOI: 10.1016/j.radonc.2017.01.007

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


  4 in total

Review 1.  The evolution of brachytherapy for prostate cancer.

Authors:  Nicholas G Zaorsky; Brian J Davis; Paul L Nguyen; Timothy N Showalter; Peter J Hoskin; Yasuo Yoshioka; Gerard C Morton; Eric M Horwitz
Journal:  Nat Rev Urol       Date:  2017-06-30       Impact factor: 14.432

2.  Automatic multi-catheter detection using deeply supervised convolutional neural network in MRI-guided HDR prostate brachytherapy.

Authors:  Xianjin Dai; Yang Lei; Yupei Zhang; Richard L J Qiu; Tonghe Wang; Sean A Dresser; Walter J Curran; Pretesh Patel; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2020-06-15       Impact factor: 4.071

3.  Advantages of TRUS-based delineation for high-dose-rate prostate brachytherapy planning.

Authors:  Heloise Lavoie-Gagnon; Andre-Guy Martin; Eric Poulin; Louis Archambault; Laurie Pilote; William Foster; Eric Vigneault; Damien Carignan; Frederic Lacroix
Journal:  J Contemp Brachytherapy       Date:  2022-02-18

4.  HDR prostate brachytherapy plan robustness and its effect on in-vivo source tracking error thresholds: A multi-institutional study.

Authors:  Joel Poder; Dylan Koprivec; Yashiv Dookie; Andrew Howie; Dean Cutajar; Antonio L Damato; Nicolas Côté; Marco Petasecca; Joseph Bucci; Anatoly Rosenfeld
Journal:  Med Phys       Date:  2022-04-19       Impact factor: 4.506

  4 in total

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