Consensus opinion on MRI simulation for external beam radiation treatment planning

Paulson, E.S.; Crijns, S.P.M.; Keller, Brian; Wang, Jihong; Schmidt, Marianne; Coutts, Glyn A.; Heide, Uulke A. van der

doi:10.1016/j.radonc.2016.09.018

Cited by 74 publications

(107 citation statements)

References 20 publications

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“…A recent work by Paulson et al 71 provides information on full consensus agreements based on feedback from a series of questionnaires regarding site-specific MRI simulation. For brain MRI simulations, the article suggests that geometric distortions be ,1 mm for stereotactic treatments and ,2 mm for nonstereotactic brain treatments.…”

Section: Biomarkers and Mrimentioning

confidence: 99%

“…For brain MRI simulations, the article suggests that geometric distortions be ,1 mm for stereotactic treatments and ,2 mm for nonstereotactic brain treatments. 71 Also, there was full consensus established for using post-contrast T 1 weighted image as the reference simulation image to be co-registered to planning CT. 71 For head and neck treatments, the authors suggest that the tumour region be identified using fat-suppressed, post-contrast T 1 weighted sequences and oedema should be identified using T 2 3D, three-dimensional; FIESTA, fast imaging employing steady-state acquisition; FLAIR, fluid-attenuated inversion-recovery; FSE, fast spin echo; Gd, gadolinium; STIR, short tau inversion-recovery; true-FISP, true fast imaging with steady state free precession; TSE T 2 , turbo spin echo T 2 ; XETA, extended echo-train acquisition.…”

Section: Biomarkers and Mrimentioning

confidence: 99%

Section: Biomarkers and Mrimentioning

confidence: 99%

“…71 For prostate simulations, no consensus was reached regarding consistent organ-filling methods between CT and MRI simulation. 71 However, full consensus was achieved for using axial multislice 2D T 2 turbo spin echo images with 3-mm slice thickness and ,1 mm inplane spatial resolution in order to contour the seminal vesicles and prostate gland. 71 The study found that for the prostate and cervix, there is no consensus or agreement on imaging the patients on flat table arrays in immobilization devices for their MR simulation.…”

Section: Biomarkers and Mrimentioning

confidence: 99%

“…71 However, full consensus was achieved for using axial multislice 2D T 2 turbo spin echo images with 3-mm slice thickness and ,1 mm inplane spatial resolution in order to contour the seminal vesicles and prostate gland. 71 The study found that for the prostate and cervix, there is no consensus or agreement on imaging the patients on flat table arrays in immobilization devices for their MR simulation. For cervix MRI simulations, there was agreement for acquiring multislice 2D T 2 weighted turbo spin echo images in both the axial and sagittal planes as well as using the T 2 weighted image as the reference set to be co-registered to the planning CT. 71 Beyond the work that still needs to be carried out to offer agreed-upon MRI simulation protocols, there are other issues with MR-gRT such as the magnetic field's impact on secondary electrons.…”

Section: Biomarkers and Mrimentioning

confidence: 99%

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The future of image-guided radiotherapy will be MR guided

Pollard

Wen

Sadagopan

et al. 2017

BJR

Self Cite

168

133

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Advances in image-guided radiotherapy (RT) have allowed for dose escalation and more precise radiation treatment delivery. Each decade brings new imaging technologies to help improve RT patient setup. Currently, the most frequently used method of three-dimensional pre-treatment image verification is performed with cone beam CT. However, more recent developments have provided RT with the ability to have on-board MRI coupled to the teleradiotherapy unit. This latest tool for treating cancer is known as MR-guided RT. Several varieties of these units have been designed and installed in centres across the globe. Their prevalence, history, advantages and disadvantages are discussed in this review article. In preparation for the next generation of image-guided RT, this review also covers where MR-guided RT might be heading in the near future.

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Section: Biomarkers and Mrimentioning

confidence: 99%

Section: Biomarkers and Mrimentioning

confidence: 99%

Section: Biomarkers and Mrimentioning

confidence: 99%

Section: Biomarkers and Mrimentioning

confidence: 99%

Section: Biomarkers and Mrimentioning

confidence: 99%

See 3 more Smart Citations

The future of image-guided radiotherapy will be MR guided

Pollard

Wen

Sadagopan

et al. 2017

BJR

Self Cite

168

133

View full text Add to dashboard Cite

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Technical Note: Extended field‐of‐view (FOV) MRI distortion determination through multi‐positional phantom imaging

Schüler

Mallozzi

Levy

et al. 2020

J Applied Clin Med Phys

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Comprehensive characterization of geometric distortions for MRI simulators and MRI-guided treatment delivery systems is typically performed with large phantoms that are costly and unwieldy to handle. Here we propose an easily implementable methodology for MR distortion determination of the entire imaging space of the scanner through the use of a compact commercially available distortion phantom. The MagphanRT phantom was scanned at several locations within a MR scanner. From each scan, an approximate location of the phantom was determined from a subset of the fiducial spheres. The fiducial displacements were determined, and a displacement field was fitted to the displacement data using the entire multi-scan data set. An orthogonal polynomial expansion fitting function was used that had been augmented to include independent rigid-body transformations for each scan. The rigid-body portions of the displacement field were thereafter discarded, and the resultant fit then represented the distortion field. Multi-positional scans of the phantom were used successfully to determine the distortion field with extended coverage. A single scan of the phantom covered 20 cm in its smallest dimension. By stitching together overlapping scans we extended the distortion measurements to 30 cm. No information about the absolute location or orientation of each scan was required. The method, termed the Multi-Scan Expansion (MSE) method, can be easily applied for larger field-of-views (FOVs) by using a combination of larger phantom displacements and more scans. The implementation of the MSE method allows for distortion determination beyond the physical limitations of the phantom. The method is scalable to the user's needs and does not require any specialized equipment. This approach could open up for easier determination of the distortion magnitude at distances further from the scanner's isocenter. This is especially important in the newly proposed methodologies of MR-only simulation in RT and in adaptive replanning in MR linac systems.

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