Literature DB >> 15609565

Dosimetric evaluation of MRI-based treatment planning for prostate cancer.

L Chen1, R A Price, T-B Nguyen, L Wang, J S Li, L Qin, M Ding, E Palacio, C-M Ma, A Pollack.   

Abstract

The purpose of this study is to evaluate the dosimetric accuracy of MRI-based treatment planning for prostate cancer using a commercial radiotherapy treatment planning system. Three-dimensional conformal plans for 15 prostate patients were generated using the AcQPlan system. For each patient, dose distributions were calculated using patient CT data with and without heterogeneity correction, and using patient MRI data without heterogeneity correction. MR images were post-processed using the gradient distortion correction (GDC) software. The distortion corrected MR images were fused to the corresponding CT for each patient for target and structure delineation. The femoral heads were delineated based on CT. Other anatomic structures relevant to the treatment (i.e., prostate, seminal vesicles, lymph notes, rectum and bladder) were delineated based on MRI. The external contours were drawn separately on CT and MRI. The same internal contours were used in the dose calculation using CT- and MRI-based geometries by directly transferring them between MRI and CT as needed. Treatment plans were evaluated based on maximum dose, isodose distributions and dose-volume histograms. The results confirm previous investigations that there is no clinically significant dose difference between CT-based prostate plans with and without heterogeneity correction. The difference in the target dose between CT- and MRI-based plans using homogeneous geometry was within 2.5%. Our results suggest that MRI-based treatment planning is suitable for radiotherapy of prostate cancer.

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Year:  2004        PMID: 15609565     DOI: 10.1088/0031-9155/49/22/010

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


  14 in total

1.  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

2.  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

Review 3.  Magnetic resonance imaging in rectal cancer: a surgeon's perspective.

Authors:  Avanish P Saklani; Sung Uk Bae; Amy Clayton; Nam Kyu Kim
Journal:  World J Gastroenterol       Date:  2014-02-28       Impact factor: 5.742

4.  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

5.  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

6.  Converting from CT- to MRI-only-based target definition in radiotherapy of localized prostate cancer: A comparison between two modalities.

Authors:  Tiina Seppälä; Harri Visapää; Juhani Collan; Mika Kapanen; Annette Beule; Mauri Kouri; Mikko Tenhunen; Kauko Saarilahti
Journal:  Strahlenther Onkol       Date:  2015-07-14       Impact factor: 3.621

Review 7.  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

8.  Using synthetic CT for partial brain radiation therapy: Impact on image guidance.

Authors:  Eric D Morris; Ryan G Price; Joshua Kim; Lonni Schultz; M Salim Siddiqui; Indrin Chetty; Carri Glide-Hurst
Journal:  Pract Radiat Oncol       Date:  2018-04-06

9.  Systematisation of spatial uncertainties for comparison between a MR and a CT-based radiotherapy workflow for prostate treatments.

Authors:  Tufve Nyholm; Morgan Nyberg; Magnus G Karlsson; Mikael Karlsson
Journal:  Radiat Oncol       Date:  2009-11-17       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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