Literature DB >> 10947259

Functional magnetic resonance imaging aided radiation treatment planning.

W C Liu1, M Schulder, V Narra, A J Kalnin, C Cathcart, A Jacobs, G Lange, A I Holodny.   

Abstract

Functional MRI (magnetic resonance imaging) allows one to noninvasively identify various eloquent cortices in the brain. The integration of cortical activation information into radiosurgical treatment planning may provide an alternative to prevent or minimize radiation damage to eloquent cortex. A novel approach of directly integrating the fMRI (functional magnetic resonance imaging) brain map into treatment planning is proposed. Three brain tumor patients have been studied using this method with motor and/or visual paradigms. Brain activation was demonstrated in eloquent cortex at the precentral gyrus (motor area) and medial occipital lobe (visual area). The activation maps were transferred to a treatment planning workstation, (XKnife), and 3D (three-dimensional) activation maps were generated and co-registered to a 3D CT (computed tomography) anatomical data set, which provided the calibration localizer, for treatment planning. Radiosurgery was designed based on both functional and structural information by the medical team consisting of a radiation oncologist, a neurosurgeon and a physicist. The average maximum dose for the tumor was 2113 cGy. The average maximum dose for tissue surrounding the tumor was 1600 cGy. The average dose with fMRI information to the eloquent cortex was 163.4 cGy over three patients, while without fMRI information it was 240.5 cGy. The average percentage dose reduction over three patients is 32%. The results suggest that using this method can reduce the dose to the eloquent cortex. This approach provides the physician with additional information for treatment planning and may spare the patient unnecessary radiation exposure to adjacent eloquent cortices.

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Mesh:

Year:  2000        PMID: 10947259     DOI: 10.1118/1.599022

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

Review 1.  Clinical applications of imaging biomarkers. Part 3. The neuro-oncologist's perspective.

Authors:  A Shenoy
Journal:  Br J Radiol       Date:  2011-12       Impact factor: 3.039

2.  Integrating functional MRI information into conventional 3D radiotherapy planning of CNS tumors. Is it worth it?

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

3.  Assessment of multiple task activation and reproducibility in patients with benign and low-grade neoplasm.

Authors:  R D McKinsey; C H Moritz; M E Meyerand; W A Tomé
Journal:  Technol Cancer Res Treat       Date:  2010-08

4.  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

5.  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

Review 6.  Biologically conformal treatment: biomarkers and functional imaging in radiation oncology.

Authors:  Yaacov Richard Lawrence; Maria Werner-Wasik; Adam P Dicker
Journal:  Future Oncol       Date:  2008-10       Impact factor: 3.404

7.  Integration of BOLD-fMRI and DTI into radiation treatment planning for high-grade gliomas located near the primary motor cortexes and corticospinal tracts.

Authors:  Minglei Wang; Hui Ma; Xiaodong Wang; Yanhong Guo; Xinshe Xia; Hechun Xia; Yulin Guo; Xueying Huang; Hong He; Xiaoxiong Jia; Yan Xie
Journal:  Radiat Oncol       Date:  2015-03-08       Impact factor: 3.481

8.  Predicting brain tumor regrowth in relation to motor areas by functional brain mapping.

Authors:  Nico Sollmann; Tobias Laub; Anna Kelm; Lucia Albers; Jan S Kirschke; Stephanie E Combs; Bernhard Meyer; Sandro M Krieg
Journal:  Neurooncol Pract       Date:  2017-09-06
  8 in total

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