Literature DB >> 22190750

An evaluation of four CT-MRI co-registration techniques for radiotherapy treatment planning of prone rectal cancer patients.

C J Dean1, J R Sykes, R A Cooper, P Hatfield, B Carey, S Swift, S E Bacon, D Thwaites, D Sebag-Montefiore, A M Morgan.   

Abstract

OBJECTIVES: MRI is the preferred staging modality for rectal carcinoma patients. This work assesses the CT-MRI co-registration accuracy of four commercial rigid-body techniques for external beam radiotherapy treatment planning for patients treated in the prone position without fiducial markers.
METHODS: 17 patients with biopsy-proven rectal carcinoma were scanned with CT and MRI in the prone position without the use of fiducial markers. A reference co-registration was performed by consensus of a radiologist and two physicists. This was compared with two automated and two manual techniques on two separate treatment planning systems. Accuracy and reproducibility were analysed using a measure of target registration error (TRE) that was based on the average distance of the mis-registration between vertices of the clinically relevant gross tumour volume as delineated on the CT image.
RESULTS: An automated technique achieved the greatest accuracy, with a TRE of 2.3 mm. Both automated techniques demonstrated perfect reproducibility and were significantly faster than their manual counterparts. There was a significant difference in TRE between registrations performed on the two planning systems, but there were no significant differences between the manual and automated techniques.
CONCLUSION: For patients with rectal cancer, MRI acquired in the prone treatment position without fiducial markers can be accurately registered with planning CT. An automated registration technique offered a fast and accurate solution with associated uncertainties within acceptable treatment planning limits.

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Mesh:

Year:  2012        PMID: 22190750      PMCID: PMC3473927          DOI: 10.1259/bjr/11855927

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  45 in total

1.  Automatic MR volume registration and its evaluation for the pelvis and prostate.

Authors:  Baowei Fei; Andrew Wheaton; Zhenghong Lee; Jeffrey L Duerk; David L Wilson
Journal:  Phys Med Biol       Date:  2002-03-07       Impact factor: 3.609

2.  Preoperative radiotherapy combined with total mesorectal excision for resectable rectal cancer.

Authors:  E Kapiteijn; C A Marijnen; I D Nagtegaal; H Putter; W H Steup; T Wiggers; H J Rutten; L Pahlman; B Glimelius; J H van Krieken; J W Leer; C J van de Velde
Journal:  N Engl J Med       Date:  2001-08-30       Impact factor: 91.245

3.  Clinical implementation of intensity-modulated arc therapy (IMAT) for rectal cancer.

Authors:  Wim Duthoy; Werner De Gersem; Koen Vergote; Tom Boterberg; Cristina Derie; Peter Smeets; Carlos De Wagter; Wilfried De Neve
Journal:  Int J Radiat Oncol Biol Phys       Date:  2004-11-01       Impact factor: 7.038

4.  Deformable registration of 4D computed tomography data.

Authors:  Eike Rietzel; George T Y Chen
Journal:  Med Phys       Date:  2006-11       Impact factor: 4.071

5.  Chemotherapy with preoperative radiotherapy in rectal cancer.

Authors:  Jean-François Bosset; Laurence Collette; Gilles Calais; Laurent Mineur; Philippe Maingon; Ljiljana Radosevic-Jelic; Alain Daban; Etienne Bardet; Alexander Beny; Jean-Claude Ollier
Journal:  N Engl J Med       Date:  2006-09-14       Impact factor: 91.245

6.  MR imaging and computed tomography in patients with rectal tumours clinically judged as locally advanced.

Authors:  Lennart Blomqvist; Torbjörn Holm; Sven Nyrén; Rut Svanström; Yasmina Ulvskog; Lennart Iselius
Journal:  Clin Radiol       Date:  2002-03       Impact factor: 2.350

7.  Preoperative radiotherapy with or without concurrent fluorouracil and leucovorin in T3-4 rectal cancers: results of FFCD 9203.

Authors:  Jean-Pierre Gérard; Thierry Conroy; Franck Bonnetain; Olivier Bouché; Olivier Chapet; Marie-Thérèse Closon-Dejardin; Michel Untereiner; Bernard Leduc; Eric Francois; Jean Maurel; Jean-François Seitz; Bruno Buecher; Rémy Mackiewicz; Michel Ducreux; Laurent Bedenne
Journal:  J Clin Oncol       Date:  2006-10-01       Impact factor: 44.544

8.  Evaluation of the role of pre-operative magnetic resonance imaging in the management of rectal cancer.

Authors:  I D Botterill; D M Blunt; P Quirke; D Sebag-Montefiore; P M Sagar; P J Finan; A G Chalmers
Journal:  Colorectal Dis       Date:  2001-09       Impact factor: 3.788

Review 9.  Radiation therapy for prostate cancer and erectile (dys)function: the role of imaging.

Authors:  Luca Incrocci
Journal:  Acta Oncol       Date:  2005       Impact factor: 4.089

10.  Effects of geometric distortion in 0.2T MRI on radiotherapy treatment planning of prostate cancer.

Authors:  Bernhard Petersch; Joachim Bogner; Annette Fransson; Thomas Lorang; Richard Pötter
Journal:  Radiother Oncol       Date:  2004-04       Impact factor: 6.280

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  23 in total

1.  Prostate CT segmentation method based on nonrigid registration in ultrasound-guided CT-based HDR prostate brachytherapy.

Authors:  Xiaofeng Yang; Peter Rossi; Tomi Ogunleye; David M Marcus; Ashesh B Jani; Hui Mao; Walter J Curran; Tian Liu
Journal:  Med Phys       Date:  2014-11       Impact factor: 4.071

2.  A tool for validating MRI-guided strategies: a digital breathing CT/MRI phantom of the abdominal site.

Authors:  Chiara Paganelli; Paul Summers; Chiara Gianoli; Massimo Bellomi; Guido Baroni; Marco Riboldi
Journal:  Med Biol Eng Comput       Date:  2017-04-08       Impact factor: 2.602

Review 3.  Magnetic resonance image guidance in external beam radiation therapy planning and delivery.

Authors:  Ilamurugu Arivarasan; Chandrasekaran Anuradha; Shanmuga Subramanian; Ayyalusamy Anantharaman; Velayudham Ramasubramanian
Journal:  Jpn J Radiol       Date:  2017-06-13       Impact factor: 2.374

4.  Multimodality image registration in the head-and-neck using a deep learning-derived synthetic CT as a bridge.

Authors:  Elizabeth M McKenzie; Anand Santhanam; Dan Ruan; Daniel O'Connor; Minsong Cao; Ke Sheng
Journal:  Med Phys       Date:  2020-01-02       Impact factor: 4.071

5.  Deformable MR-CBCT prostate registration using biomechanically constrained deep learning networks.

Authors:  Yabo Fu; Tonghe Wang; Yang Lei; Pretesh Patel; Ashesh B Jani; Walter J Curran; Tian Liu; Xiaofeng Yang
Journal:  Med Phys       Date:  2020-11-27       Impact factor: 4.071

6.  A New CT Prostate Segmentation for CT-Based HDR Brachytherapy.

Authors:  Xiaofeng Yang; Peter Rossi; Tomi Ogunleye; Ashesh B Jani; Walter J Curran; Tian Liu
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014

7.  Development of a hybrid magnetic resonance/computed tomography-compatible phantom for magnetic resonance guided radiotherapy.

Authors:  Min-Joo Kim; Seu-Ran Lee; Kyu-Ho Song; Hyeon-Man Baek; Bo-Young Choe; Tae Suk Suh
Journal:  J Radiat Res       Date:  2020-03-23       Impact factor: 2.724

8.  An adaptive MR-CT registration method for MRI-guided prostate cancer radiotherapy.

Authors:  Hualiang Zhong; Ning Wen; James J Gordon; Mohamed A Elshaikh; Benjamin Movsas; Indrin J Chetty
Journal:  Phys Med Biol       Date:  2015-03-17       Impact factor: 3.609

9.  MR to CT Registration of Brains using Image Synthesis.

Authors:  Snehashis Roy; Aaron Carass; Amod Jog; Jerry L Prince; Junghoon Lee
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-21

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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