Feasibility and limitations of bulk density assignment in MRI for head and neck IMRT treatment planning

Head and neck cancers centered at the base of skull are better visualized on MRI than on CT. The purpose of this investigation was to investigate the accuracy of bulk density assignment in head and neck intensity‐modulated radiation therapy (IMRT) treatment plan optimization. Our study investigates dose calculation differences between density‐assigned MRI and CT, and identifies potential limitations related to dental implants and MRI geometrical distortion in the framework of MRI‐only‐based treatment planning. Bulk density assignment was performed and applied onto MRI to generate three MRI image sets with increasing levels of heterogeneity for seven patients: 1) MRIW: all water‐equivalent; 2) MRIW + B: included bone with density of 1.53 g/cm3; and 3) MRIW + B + A: included bone and air. Using identical planning and optimization parameters, MRI‐based IMRT plans were generated and compared to corresponding, forward‐calculated, CT‐based plans on the basis of target coverage, isodose distributions, and dose‐volume histograms (DVHs). Phantom studies were performed to assess the magnitude and spatial dependence of MRI geometrical distortion. MRIW‐based dose calculations overestimated target coverage by 16.1%. Segmentation of bone reduced differences to within 2% of the coverage area on the CT‐based plan. Further segmentation of air improved conformity near air–tissue interfaces. Dental artifacts caused substantial target coverage overestimation even on MRIW + B + A. Geometrical distortion was less than 1 mm in an imaging volume 20 × 20 × 20 cm3 around scanner isocenter, but up to 4 mm at 17 cm lateral to isocenter. Bulk density assignment in the framework of MRI‐only IMRT head and neck treatment planning is a feasible method with certain limitations. Bone and teeth account for the majority of density heterogeneity effects. While soft tissue is well visualized on MRI compared to CT, dental implants may not be visible on MRI and must be identified by other means and assigned appropriate density for accurate dose calculation. Far off‐center geometrical distortion of the body contour near the shoulder region is a potential source of dose calculation inaccuracy. PACS numbers: 87.61.‐c, 87.55.‐D

[1]  G Delso,et al.  MR-driven metal artifact reduction in PET/CT , 2013, Physics in medicine and biology.

[2]  Olivier Salvado,et al.  MRI-guided prostate radiation therapy planning: Investigation of dosimetric accuracy of MRI-based dose planning. , 2011, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[3]  Deming Wang,et al.  Geometric distortion in clinical MRI systems Part I: evaluation using a 3D phantom. , 2004, Magnetic resonance imaging.

[4]  C. Fallai,et al.  Staging and follow-up of nasopharyngeal carcinoma: magnetic resonance imaging versus computerized tomography. , 1995, International journal of radiation oncology, biology, physics.

[5]  Deming Wang,et al.  Geometric distortion in clinical MRI systems Part II: correction using a 3D phantom. , 2004, Magnetic resonance imaging.

[6]  B G Fallone,et al.  A study on the magnetic resonance imaging (MRI)-based radiation treatment planning of intracranial lesions , 2008, Physics in medicine and biology.

[7]  D A Jaffray,et al.  Characterization of tissue magnetic susceptibility-induced distortions for MRIgRT. , 2012, Medical physics.

[8]  S. Vandenberghe,et al.  MRI-Based Attenuation Correction for PET/MRI Using Ultrashort Echo Time Sequences , 2010, Journal of Nuclear Medicine.

[9]  J G M Kok,et al.  Integrating a 1.5 T MRI scanner with a 6 MV accelerator: proof of concept , 2009, Physics in medicine and biology.

[10]  J Yang,et al.  Investigation of MR image distortion for radiotherapy treatment planning of prostate cancer , 2005, Physics in medicine and biology.

[11]  Alan Pollack,et al.  MRI-based treatment planning for radiotherapy: dosimetric verification for prostate IMRT. , 2004, International journal of radiation oncology, biology, physics.

[12]  Arne Skretting,et al.  A simulation of MRI based dose calculations on the basis of radiotherapy planning CT images , 2008, Acta oncologica.

[13]  Richard Pötter,et al.  Effects of geometric distortion in 0.2T MRI on radiotherapy treatment planning of prostate cancer. , 2004, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[14]  J. Schenck The role of magnetic susceptibility in magnetic resonance imaging: MRI magnetic compatibility of the first and second kinds. , 1996, Medical physics.

[15]  P. Teo,et al.  Intensity-modulated radiotherapy in nasopharyngeal carcinoma: dosimetric advantage over conventional plans and feasibility of dose escalation. , 2003, International journal of radiation oncology, biology, physics.

[16]  B. Fallone,et al.  First MR images obtained during megavoltage photon irradiation from a prototype integrated linac-MR system. , 2009, Medical physics.

[17]  Reid F Thompson,et al.  Dose to the developing dentition during therapeutic irradiation: organ at risk determination and clinical implications. , 2013, International journal of radiation oncology, biology, physics.

[18]  R. Pötter,et al.  Effect of distortions and asymmetry in MR images on radiotherapeutic treatment planning , 2000, International journal of cancer.

[19]  M van Herk,et al.  Definition of the prostate in CT and MRI: a multi-observer study. , 1999, International journal of radiation oncology, biology, physics.

[20]  Noor Mail,et al.  The impacts of dental filling materials on RapidArc treatment planning and dose delivery: challenges and solution. , 2013, Medical physics.

[21]  B. Gino Fallone,et al.  3T MR-based treatment planning for radiotherapy of brain lesions , 2006 .

[22]  Steen Moeller,et al.  Dental magnetic resonance imaging: making the invisible visible. , 2011, Journal of endodontics.

[23]  Tiina Seppälä,et al.  Commissioning of MRI‐only based treatment planning procedure for external beam radiotherapy of prostate , 2013, Magnetic resonance in medicine.

[24]  Olivier Salvado,et al.  An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy. , 2012, International journal of radiation oncology, biology, physics.

[25]  P. Xia,et al.  Intensity-modulated radiotherapy in the treatment of nasopharyngeal carcinoma: an update of the UCSF experience. , 2001, International journal of radiation oncology, biology, physics.

[26]  David M. Doddrell,et al.  Geometric distortion in clinical MRI systems Part II: correction using a 3D phantom. , 2004, Magnetic resonance imaging.

[27]  B Gino Fallone,et al.  Characterization, prediction, and correction of geometric distortion in 3 T MR images. , 2007, Medical physics.

[28]  K Wachowicz,et al.  Implications of tissue magnetic susceptibility-related distortion on the rotating magnet in an MR-linac design. , 2010, Medical physics.

[29]  D. Dearnaley,et al.  Magnetic resonance imaging (MRI): considerations and applications in radiotherapy treatment planning. , 1997, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[30]  Tufve Nyholm,et al.  Treatment planning using MRI data: an analysis of the dose calculation accuracy for different treatment regions , 2010, Radiation oncology.

[31]  L Xing,et al.  MRI-based Treatment Planning with Electron Density Information Mapped from CT Images: A Preliminary Study , 2008, Technology in cancer research & treatment.

[32]  Adam Johansson,et al.  CT substitute derived from MRI sequences with ultrashort echo time. , 2011, Medical physics.

[33]  Anil Sethi,et al.  Influence of MRI on target volume delineation and IMRT planning in nasopharyngeal carcinoma. , 2003, International journal of radiation oncology, biology, physics.

[34]  Steve Webb,et al.  Radiotherapy treatment planning of prostate cancer using magnetic resonance imaging alone. , 2003, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.