Literature DB >> 18262122

Feasibility study of intensity-modulated radiotherapy (IMRT) treatment planning using brain functional MRI.

Jenghwa Chang1, Alex Kowalski, Bob Hou, Ashwatha Narayana.   

Abstract

The purpose of this work was to study the feasibility of incorporating functional magnetic resonance imaging (fMRI) information for intensity modulated radiotherapy (IMRT) treatment planning of brain tumors. Three glioma patients were retrospectively replanned for radiotherapy (RT) with additional fMRI information. The fMRI of each patient was acquired using a bilateral finger-tapping paradigm with a gradient echo EPI (Echo Planer Imaging) sequence. The fMRI data were processed using the Analysis of Functional Neuroimaging (AFNI) software package for determining activation volumes, and the volumes were fused with the simulation computed tomography (CT) scan. The actived pixels in left and right primary motor cortexes (PMCs) were contoured as critical structures for IMRT planning. The goal of replanning was to minimize the RT dose to the activation volumes in the PMC regions, while maintaining a similar coverage to the planning target volume (PTV) and keeping critical structures within accepted dose tolerance. Dose-volume histograms of the treatment plans with and without considering the fMRI information were compared. Beam angles adjustment or additional beams were needed for 2 cases to meet the planning criteria. Mean dose to the contralateral and ipsilateral PMC was significantly reduced by 66% and 55%, respectively, for 1 patient. For the other 2 patients, mean dose to contralateral PMC region was lowered by 73% and 69%. In general, IMRT optimization can reduce the RT dose to the PMC regions without compromising the PTV coverage or sparing of other critical organs. In conclusion, it is feasible to incorporate the fMRI information into the RT treatment planning. IMRT planning allows a significant reduction in RT dose to the PMC regions, especially if the region does not lie within the PTV.

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Year:  2008        PMID: 18262122     DOI: 10.1016/j.meddos.2007.05.002

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  6 in total

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Authors:  Arpád Kovács; Lilla Tóth; Csaba Glavák; Gábor Liposits; Janaki Hadjiev; Gergely Antal; Miklós Emri; Csaba Vandulek; Imre Repa
Journal:  J Neurooncol       Date:  2011-07-02       Impact factor: 4.130

2.  Corticospinal tract-sparing intensity-modulated radiotherapy treatment planning.

Authors:  Hiroshi Igaki; Akira Sakumi; Akitake Mukasa; Kuniaki Saito; Akira Kunimatsu; Yoshitaka Masutani; Shunya Hanakita; Kenji Ino; Akihiro Haga; Keiichi Nakagawa; Kuni Ohtomo
Journal:  Rep Pract Oncol Radiother       Date:  2014-07-15

3.  Integrating functional MRI information into radiotherapy planning of CNS tumors-early experiences.

Authors:  Arpád Kovács; Lilla Tóth; Csaba Glavák; Ferenc Lakosi; Janaki Hadjiev; Gábor Bajzik; Csaba Vandulek; Imre Repa
Journal:  Pathol Oncol Res       Date:  2010-09-17       Impact factor: 3.201

4.  Changes in functional MRI signals after 3D based radiotherapy of glioblastoma multiforme.

Authors:  Árpád Kovács; Miklós Emri; Gábor Opposits; Tamás Pisák; Csaba Vandulek; Csaba Glavák; Zoltán Szalai; Gergely Biró; Gábor Bajzik; Imre Repa
Journal:  J Neurooncol       Date:  2015-08-19       Impact factor: 4.130

5.  Precision radiotherapy for brain tumors: A 10-year bibliometric analysis.

Authors:  Ying Yan; Zhanwen Guo; Haibo Zhang; Ning Wang; Ying Xu
Journal:  Neural Regen Res       Date:  2012-08-05       Impact factor: 5.135

6.  Transient effects of tumor location on the functional architecture at rest in glioblastoma patients: three longitudinal case studies.

Authors:  Noora Tuovinen; Francesco de Pasquale; Massimo Caulo; Chiara Falletta Caravasso; Emilia Giudice; Roberto Miceli; Gianluca Ingrosso; Anne Laprie; Riccardo Santoni; Umberto Sabatini
Journal:  Radiat Oncol       Date:  2016-08-17       Impact factor: 3.481

  6 in total

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