Literature DB >> 15380601

MRI-based treatment planning for radiotherapy: dosimetric verification for prostate IMRT.

Lili Chen1, Robert A Price, Lu Wang, Jinsheng Li, Lihong Qin, Shawn McNeeley, C-M Charlie Ma, Gary M Freedman, Alan Pollack.   

Abstract

PURPOSE: Magnetic resonance (MR) and computed tomography (CT) image fusion with CT-based dose calculation is the gold standard for prostate treatment planning. MR and CT fusion with CT-based dose calculation has become a routine procedure for intensity-modulated radiation therapy (IMRT) treatment planning at Fox Chase Cancer Center. The use of MRI alone for treatment planning (or MRI simulation) will remove any errors associated with image fusion. Furthermore, it will reduce treatment cost by avoiding redundant CT scans and save patient, staff, and machine time. The purpose of this study is to investigate the dosimetric accuracy of MRI-based treatment planning for prostate IMRT. METHODS AND MATERIALS: A total of 30 IMRT plans for 15 patients were generated using both MRI and CT data. The MRI distortion was corrected using gradient distortion correction (GDC) software provided by the vendor (Philips Medical System, Cleveland, OH). The same internal contours were used for the paired plans. The external contours were drawn separately between CT-based and MR imaging-based plans to evaluate the effect of any residual distortions on dosimetric accuracy. The same energy, beam angles, dose constrains, and optimization parameters were used for dose calculations for each paired plans using a treatment optimization system. The resulting plans were compared in terms of isodose distributions and dose-volume histograms (DVHs). Hybrid phantom plans were generated for both the CT-based plans and the MR-based plans using the same leaf sequences and associated monitor units (MU). The physical phantom was then irradiated using the same leaf sequences to verify the dosimetry accuracy of the treatment plans.
RESULTS: Our results show that dose distributions between CT-based and MRI-based plans were equally acceptable based on our clinical criteria. The absolute dose agreement for the planning target volume was within 2% between CT-based and MR-based plans and 3% between measured dose and dose predicted by the planning system in the physical phantom.
CONCLUSIONS: Magnetic resonance imaging is a useful tool for radiotherapy simulation. Compared with CT-based treatment planning, MR imaging-based treatment planning meets the accuracy for dose calculation and provides consistent treatment plans for prostate IMRT. Because MR imaging-based digitally reconstructed radiographs do not provide adequate bony structure information, a technique is suggested for producing a wire-frame image that is intended to replace the traditional digitally reconstructed radiographs that are made from CT information.

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Year:  2004        PMID: 15380601     DOI: 10.1016/j.ijrobp.2004.05.068

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  32 in total

1.  Fused radioimmunoscintigraphy for treatment planning.

Authors:  Rodney J Ellis; Deborah A Kaminsky
Journal:  Rev Urol       Date:  2006

2.  MR image-based synthetic CT for IMRT prostate treatment planning and CBCT image-guided localization.

Authors:  Shupeng Chen; Hong Quan; An Qin; Seonghwan Yee; Di Yan
Journal:  J Appl Clin Med Phys       Date:  2016-05-08       Impact factor: 2.102

3.  New concept on an integrated interior magnetic resonance imaging and medical linear accelerator system for radiation therapy.

Authors:  Xun Jia; Zhen Tian; Yan Xi; Steve B Jiang; Ge Wang
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-02

4.  Registration accuracy for MR images of the prostate using a subvolume based registration protocol.

Authors:  Joakim H Jonsson; Patrik Brynolfsson; Anders Garpebring; Mikael Karlsson; Karin Söderström; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2011-06-16       Impact factor: 3.481

Review 5.  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

6.  Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions.

Authors:  Joakim H Jonsson; Magnus G Karlsson; Mikael Karlsson; Tufve Nyholm
Journal:  Radiat Oncol       Date:  2010-06-30       Impact factor: 3.481

7.  MR simulation for prostate radiation therapy: effect of coil mounting position on image quality.

Authors:  J Sun; P Pichler; J Dowling; F Menk; P Stanwell; J Arm; P B Greer
Journal:  Br J Radiol       Date:  2014-07-25       Impact factor: 3.039

8.  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

9.  MRI-based treatment planning with pseudo CT generated through atlas registration.

Authors:  Jinsoo Uh; Thomas E Merchant; Yimei Li; Xingyu Li; Chiaho Hua
Journal:  Med Phys       Date:  2014-05       Impact factor: 4.071

Review 10.  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

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