Literature DB >> 27983520

Dosimetric and workflow evaluation of first commercial synthetic CT software for clinical use in pelvis.

Neelam Tyagi1, Sandra Fontenla, Jing Zhang, Michelle Cloutier, Mo Kadbi, Jim Mechalakos, Michael Zelefsky, Joe Deasy, Margie Hunt.   

Abstract

To evaluate a commercial synthetic CT (syn-CT) software for use in prostate radiotherapy. Twenty-five prostate patients underwent CT and MR simulation scans in treatment position on a 3T MR scanner. A commercially available MR protocol was used that included a T2w turbo spin-echo sequence for soft-tissue contrast and a dual echo 3D mDIXON fast field echo (FFE) sequence for generating syn-CT. A dual-echo 3D FFE B 0 map was used for patient-induced susceptibility distortion analysis and a new 3D balanced-FFE sequence was evaluated for identification of implanted gold fiducial markers and subsequent image-guidance during radiotherapy delivery. Tissues were classified as air, adipose, water, trabecular/spongy bone and compact/cortical bone and assigned bulk HU values. The accuracy of syn-CT for treatment planning was analyzed by transferring the structures and plan from planning CT to syn-CT and recalculating the dose. Accuracy of localization at the treatment machine was evaluated by comparing registration of kV radiographs to either digitally reconstructed radiographs (DRRs) generated from syn-CT or traditional DRRs generated from the planning CT. Similarly, accuracy of setup using CBCT and syn-CT was compared to that using the planning CT. Finally, a MR-only simulation workflow was established and end-to-end testing was completed on five patients undergoing MR-only simulation. Dosimetric comparison between the original CT and syn-CT plans was within 0.5% on average for all structures. The de-novo optimized plans on the syn-CT met institutional clinical objectives for target and normal structures. Patient-induced susceptibility distortion based on B 0 maps was within 1 mm and 0.5 mm in the body and prostate respectively. DRR and CBCT localization based on MR-localized fiducials showed a standard deviation of  <1 mm. End-to-end testing and MR simulation workflow was successfully validated. MRI derived synthetic CT can be successfully used for a MR-only planning and treatment for prostate radiotherapy.

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Mesh:

Year:  2016        PMID: 27983520      PMCID: PMC5541676          DOI: 10.1088/1361-6560/aa5452

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


  16 in total

1.  MRI target delineation may reduce long-term toxicity after prostate radiotherapy.

Authors:  Lotte Sander; Niels Christian Langkilde; Mats Holmberg; Jesper Carl
Journal:  Acta Oncol       Date:  2013-12-20       Impact factor: 4.089

2.  Correction for geometric distortion in echo planar images from B0 field variations.

Authors:  P Jezzard; R S Balaban
Journal:  Magn Reson Med       Date:  1995-07       Impact factor: 4.668

3.  A magnetic resonance imaging-based workflow for planning radiation therapy for prostate cancer.

Authors:  Peter B Greer; Jason A Dowling; Jonathon A Lambert; Jurgen Fripp; Joel Parker; James W Denham; Chris Wratten; Anne Capp; Olivier Salvado
Journal:  Med J Aust       Date:  2011-02-21       Impact factor: 7.738

4.  A dual model HU conversion from MRI intensity values within and outside of bone segment for MRI-based radiotherapy treatment planning of prostate cancer.

Authors:  Juha Korhonen; Mika Kapanen; Jani Keyriläinen; Tiina Seppälä; Mikko Tenhunen
Journal:  Med Phys       Date:  2014-01       Impact factor: 4.071

5.  A female pelvic bone shape model for air/bone separation in support of synthetic CT generation for radiation therapy.

Authors:  Lianli Liu; Yue Cao; Jeffrey A Fessler; Shruti Jolly; James M Balter
Journal:  Phys Med Biol       Date:  2015-12-01       Impact factor: 3.609

6.  MRI-guided prostate radiation therapy planning: Investigation of dosimetric accuracy of MRI-based dose planning.

Authors:  Jonathan Lambert; Peter B Greer; Fred Menk; Jackie Patterson; Joel Parker; Kara Dahl; Sanjiv Gupta; Anne Capp; Chris Wratten; Colin Tang; Mahesh Kumar; Jason Dowling; Sarah Hauville; Cynthia Hughes; Kristen Fisher; Peter Lau; James W Denham; Olivier Salvado
Journal:  Radiother Oncol       Date:  2011-02-19       Impact factor: 6.280

7.  Interobserver comparison of CT and MRI-based prostate apex definition. Clinical relevance for conformal radiotherapy treatment planning.

Authors:  Stefan Wachter; Natascha Wachter-Gerstner; Thomas Bock; Gregor Goldner; György Kovacs; Annette Fransson; Richard Pötter
Journal:  Strahlenther Onkol       Date:  2002-05       Impact factor: 3.621

Review 8.  FSL.

Authors:  Mark Jenkinson; Christian F Beckmann; Timothy E J Behrens; Mark W Woolrich; Stephen M Smith
Journal:  Neuroimage       Date:  2011-09-16       Impact factor: 6.556

9.  Variability in prostate and seminal vesicle delineations defined on magnetic resonance images, a multi-observer, -center and -sequence study.

Authors:  Tufve Nyholm; Joakim Jonsson; Karin Söderström; Per Bergström; Andreas Carlberg; Gunilla Frykholm; Claus F Behrens; Poul Flemming Geertsen; Redas Trepiakas; Scott Hanvey; Azmat Sadozye; Jawaher Ansari; Hazel McCallum; John Frew; Rhona McMenemin; Björn Zackrisson
Journal:  Radiat Oncol       Date:  2013-05-24       Impact factor: 3.481

10.  Dosimetric evaluation of synthetic CT relative to bulk density assignment-based magnetic resonance-only approaches for prostate radiotherapy.

Authors:  Joshua Kim; Kim Garbarino; Lonni Schultz; Kenneth Levin; Benjamin Movsas; M Salim Siddiqui; Indrin J Chetty; Carri Glide-Hurst
Journal:  Radiat Oncol       Date:  2015-11-24       Impact factor: 3.481

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  42 in total

Review 1.  Emerging role of MRI in radiation therapy.

Authors:  Hersh Chandarana; Hesheng Wang; R H N Tijssen; Indra J Das
Journal:  J Magn Reson Imaging       Date:  2018-09-08       Impact factor: 4.813

2.  A novel and rapid approach to estimate patient-specific distortions based on mDIXON MRI.

Authors:  Steffen Weiss; Siamak Nejad-Davarani; Holger Eggers; Eliza Orasanu; Steffen Renisch; Carri Glide-Hurst
Journal:  Phys Med Biol       Date:  2019-08-01       Impact factor: 3.609

3.  Synthetic CT for MRI-based liver stereotactic body radiotherapy treatment planning.

Authors:  Jeremy S Bredfeldt; Lianli Liu; Mary Feng; Yue Cao; James M Balter
Journal:  Phys Med Biol       Date:  2017-03-17       Impact factor: 3.609

Review 4.  MRI-only treatment planning: benefits and challenges.

Authors:  Amir M Owrangi; Peter B Greer; Carri K Glide-Hurst
Journal:  Phys Med Biol       Date:  2018-02-26       Impact factor: 3.609

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.  Early Tolerance and Tumor Control Outcomes with High-dose Ultrahypofractionated Radiation Therapy for Prostate Cancer.

Authors:  Michael J Zelefsky; Attapol Pinitpatcharalert; Marisa Kollmeier; Debra A Goldman; Sean McBride; Daniel Gorovets; Zhigang Zhang; Melissa Varghese; Laura Happersett; Neelam Tyagi; Margie Hunt
Journal:  Eur Urol Oncol       Date:  2019-10-23

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

8.  Validation of dose distribution computation on sCT images generated from MRI scans by Philips MRCAT.

Authors:  Iva Bratova; Petr Paluska; Jakub Grepl; Petra Sykorova; Jan Jansa; Miroslav Hodek; Igor Sirak; Milan Vosmik; Jiri Petera
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-28

Review 9.  MRI-guided Radiation Therapy: An Emerging Paradigm in Adaptive Radiation Oncology.

Authors:  Ricardo Otazo; Philippe Lambin; Jean-Philippe Pignol; Mark E Ladd; Heinz-Peter Schlemmer; Michael Baumann; Hedvig Hricak
Journal:  Radiology       Date:  2020-12-22       Impact factor: 11.105

10.  Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.

Authors:  Carri K Glide-Hurst; Eric S Paulson; Kiaran McGee; Neelam Tyagi; Yanle Hu; James Balter; John Bayouth
Journal:  Med Phys       Date:  2021-07       Impact factor: 4.071

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