| Literature DB >> 29528037 |
Yue Yan1, Jinzhong Yang, Sam Beddar, Geoffrey Ibbott, Zhifei Wen, Laurence E Court, Ken-Pin Hwang, Mo Kadbi, Sunil Krishnan, Clifton D Fuller, Steven J Frank, James Yang, Peter Balter, Rajat J Kudchadker, Jihong Wang.
Abstract
We developed a novel technique to study the impact of geometric distortion of magnetic resonance imaging (MRI) on intensity-modulated radiation therapy treatment planning. The measured 3D datasets of residual geometric distortion (a 1.5 T MRI component of an MRI linear accelerator system) was fitted with a second-order polynomial model to map the spatial dependence of geometric distortions. Then the geometric distortion model was applied to computed tomography (CT) image and structure data to simulate the distortion of MRI data and structures. Fourteen CT-based treatment plans were selected from patients treated for gastrointestinal, genitourinary, thoracic, head and neck, or spinal tumors. Plans based on the distorted CT and structure data were generated (as the distorted plans). Dose deviations of the distorted plans were calculated and compared with the original plans to study the dosimetric impact of MRI distortion. The MRI geometric distortion led to notable dose deviations in five of the 14 patients, causing loss of target coverage of up to 3.68% and dose deviations to organs at risk in three patients, increasing the mean dose to the chest wall by up to 6.19 Gy in a gastrointestinal patient, and increases the maximum dose to the lung by 5.17 Gy in a thoracic patient.Entities:
Mesh:
Year: 2018 PMID: 29528037 DOI: 10.1088/1361-6560/aab5c3
Source DB: PubMed Journal: Phys Med Biol ISSN: 0031-9155 Impact factor: 3.609