Literature DB >> 29076458

Feasibility of MR-only proton dose calculations for prostate cancer radiotherapy using a commercial pseudo-CT generation method.

Matteo Maspero1, Cornelis A T van den Berg, Guillaume Landry, Claus Belka, Katia Parodi, Peter R Seevinck, Bas W Raaymakers, Christopher Kurz.   

Abstract

A magnetic resonance (MR)-only radiotherapy workflow can reduce cost, radiation exposure and uncertainties introduced by CT-MRI registration. A crucial prerequisite is generating the so called pseudo-CT (pCT) images for accurate dose calculation and planning. Many pCT generation methods have been proposed in the scope of photon radiotherapy. This work aims at verifying for the first time whether a commercially available photon-oriented pCT generation method can be employed for accurate intensity-modulated proton therapy (IMPT) dose calculation. A retrospective study was conducted on ten prostate cancer patients. For pCT generation from MR images, a commercial solution for creating bulk-assigned pCTs, called MR for Attenuation Correction (MRCAT), was employed. The assigned pseudo-Hounsfield Unit (HU) values were adapted to yield an increased agreement to the reference CT in terms of proton range. Internal air cavities were copied from the CT to minimise inter-scan differences. CT- and MRCAT-based dose calculations for opposing beam IMPT plans were compared by gamma analysis and evaluation of clinically relevant target and organ at risk dose volume histogram (DVH) parameters. The proton range in beam's eye view (BEV) was compared using single field uniform dose (SFUD) plans. On average, a [Formula: see text] mm) gamma pass rate of 98.4% was obtained using a [Formula: see text] dose threshold after adaptation of the pseudo-HU values. Mean differences between CT- and MRCAT-based dose in the DVH parameters were below 1 Gy ([Formula: see text]). The median proton range difference was [Formula: see text] mm, with on average 96% of all BEV dose profiles showing a range agreement better than 3 mm. Results suggest that accurate MR-based proton dose calculation using an automatic commercial bulk-assignment pCT generation method, originally designed for photon radiotherapy, is feasible following adaptation of the assigned pseudo-HU values.

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Year:  2017        PMID: 29076458     DOI: 10.1088/1361-6560/aa9677

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  11 in total

Review 1.  Image guidance in proton therapy for lung cancer.

Authors:  Miao Zhang; Wei Zou; Boon-Keng Kevin Teo
Journal:  Transl Lung Cancer Res       Date:  2018-04

Review 2.  Status and innovations in pre-treatment CT imaging for proton therapy.

Authors:  Patrick Wohlfahrt; Christian Richter
Journal:  Br J Radiol       Date:  2019-11-11       Impact factor: 3.039

Review 3.  Online daily adaptive proton therapy.

Authors:  Francesca Albertini; Michael Matter; Lena Nenoff; Ye Zhang; Antony Lomax
Journal:  Br J Radiol       Date:  2019-11-11       Impact factor: 3.039

4.  Clinical experience and workflow challenges with magnetic resonance-only radiation therapy simulation and planning for prostate cancer.

Authors:  Neelam Tyagi; Michael J Zelefsky; Andreas Wibmer; Kristen Zakian; Sarah Burleson; Laura Happersett; Aleksi Halkola; Mo Kadbi; Margie Hunt
Journal:  Phys Imaging Radiat Oncol       Date:  2020-10-13

5.  Dosimetric evaluation of MR-derived synthetic-CTs for MR-only proton treatment planning.

Authors:  David Aramburu Núñez; Sandra Fontenla; Lauren Rydquist; Gabriely Del Rosario; Zhiqiang Han; Chin-Cheng Chen; Dennis Mah; Neelam Tyagi
Journal:  Med Dosim       Date:  2020-02-20       Impact factor: 1.482

6.  Dosimetric evaluation of synthetic CT generated with GANs for MRI-only proton therapy treatment planning of brain tumors.

Authors:  Samaneh Kazemifar; Ana M Barragán Montero; Kevin Souris; Sara T Rivas; Robert Timmerman; Yang K Park; Steve Jiang; Xavier Geets; Edmond Sterpin; Amir Owrangi
Journal:  J Appl Clin Med Phys       Date:  2020-03-26       Impact factor: 2.102

7.  MRI-based treatment planning for liver stereotactic body radiotherapy: validation of a deep learning-based synthetic CT generation method.

Authors:  Yingzi Liu; Yang Lei; Tonghe Wang; Oluwatosin Kayode; Sibo Tian; Tian Liu; Pretesh Patel; Walter J Curran; Lei Ren; Xiaofeng Yang
Journal:  Br J Radiol       Date:  2019-06-20       Impact factor: 3.039

Review 8.  MR-guided proton therapy: a review and a preview.

Authors:  Aswin Hoffmann; Bradley Oborn; Maryam Moteabbed; Susu Yan; Thomas Bortfeld; Antje Knopf; Herman Fuchs; Dietmar Georg; Joao Seco; Maria Francesca Spadea; Oliver Jäkel; Christopher Kurz; Katia Parodi
Journal:  Radiat Oncol       Date:  2020-05-29       Impact factor: 3.481

9.  MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method.

Authors:  Yingzi Liu; Yang Lei; Yinan Wang; Tonghe Wang; Lei Ren; Liyong Lin; Mark McDonald; Walter J Curran; Tian Liu; Jun Zhou; Xiaofeng Yang
Journal:  Phys Med Biol       Date:  2019-07-16       Impact factor: 3.609

Review 10.  Roadmap: proton therapy physics and biology.

Authors:  Harald Paganetti; Chris Beltran; Stefan Both; Lei Dong; Jacob Flanz; Keith Furutani; Clemens Grassberger; David R Grosshans; Antje-Christin Knopf; Johannes A Langendijk; Hakan Nystrom; Katia Parodi; Bas W Raaymakers; Christian Richter; Gabriel O Sawakuchi; Marco Schippers; Simona F Shaitelman; B K Kevin Teo; Jan Unkelbach; Patrick Wohlfahrt; Tony Lomax
Journal:  Phys Med Biol       Date:  2021-02-26       Impact factor: 4.174

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