Literature DB >> 28692129

Distortion-free diffusion MRI using an MRI-guided Tri-Cobalt 60 radiotherapy system: Sequence verification and preliminary clinical experience.

Yu Gao1,2, Fei Han1, Ziwu Zhou1, Minsong Cao3,2, Tania Kaprealian3, Mitchell Kamrava3, Chenyang Wang3, John Neylon3, Daniel A Low3,2, Yingli Yang3,2, Peng Hu1,2.   

Abstract

PURPOSE: Monitoring tumor response during the course of treatment and adaptively modifying treatment plan based on tumor biological feedback may represent a new paradigm for radiotherapy. Diffusion MRI has shown great promises in assessing and predicting tumor response to radiotherapy. However, the conventional diffusion-weighted single-shot echo-planar-imaging (DW-ssEPI) technique suffers from limited resolution, severe distortion, and possibly inaccurate ADC at low field strength. The purpose of this work was to develop a reliable, accurate and distortion-free diffusion MRI technique that is practicable for longitudinal tumor response evaluation and adaptive radiotherapy on a 0.35 T MRI-guided radiotherapy system.
METHODS: A diffusion-prepared turbo spin echo readout (DP-TSE) sequence was developed and compared with the conventional diffusion-weighted single-shot echo-planar-imaging sequence on a 0.35 T MRI-guided radiotherapy system (ViewRay). A spatial integrity phantom was used to quantitate and compare the geometric accuracy of the two diffusion sequences for three orthogonal orientations. The apparent diffusion coefficient (ADC) accuracy was evaluated on a diffusion phantom under both 0 °C and room temperature to cover a diffusivity range between 0.40 × 10-3 and 2.10 × 10-3 mm2 /s. Ten room temperature measurements repeated on five different days were conducted to assess the ADC reproducibility of DP-TSE. Two glioblastoma (GBM) and six sarcoma patients were included to examine the in vivo feasibility. The target registration error (TRE) was calculated to quantitate the geometric accuracy where structural CT or MR images were co-registered to the diffusion images as references. ADC maps from DP-TSE and DW-ssEPI were calculated and compared. A tube phantom was placed next to patients not treated on ViewRay, and ADCs of this reference tube were also compared.
RESULTS: The proposed DP-TSE passed the spatial integrity test (< 1 mm within 100 mm radius and < 2 mm within 175 mm radius) under the three orthogonal orientations. The detected errors were 0.474 ± 0.355 mm, 0.475 ± 0.287 mm, and 0.546 ± 0.336 mm in the axial, coronal, and sagittal plane. DW-ssEPI, however, failed the tests due to severe distortion and low signal intensity. Noise correction must be performed for the DW-ssEPI to avoid ADC quantitation errors, whereas it is optional for DP-TSE. At 0 °C, the two sequences provided accurate quantitation with < 3% variation with the reference. In the room temperature study, discrepancies between ADCs from DP-TSE and the reference were within 4%, but could be as high as 8% for DW-ssEPI after the noise correction. Excellent ADC reproducibility with a coefficient of variation < 5% was observed among the 10 measurements of DP-TSE, indicating desirable robustness for ADC-based tumor response assessment. In vivo TRE in DP-TSE was less than 1.6 mm overall, whereas it could be greater than 12 mm in DW-ssEPI. For GBM patients, the CSF and brain tissue ADCs from DP-TSE were within the ranges found in literature. ADC differences between the two techniques were within 8% among the six sarcoma patients. For the reference tube that had a relatively low diffusivity, the two diffusion sequences provided matched measurements.
CONCLUSION: A diffusion technique with excellent geometric fidelity, accurate, and reproducible ADC measurement was demonstrated for longitudinal tumor response assessment using a low-field MRI-guided radiotherapy system.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  adaptive radiotherapy; distortion-free diffusion MRI; treatment response

Mesh:

Substances:

Year:  2017        PMID: 28692129     DOI: 10.1002/mp.12465

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


  10 in total

1.  Evaluation of diffusion-weighted MRI and geometric distortion on a 0.35T MR-LINAC at multiple gantry angles.

Authors:  Benjamin Lewis; Anamaria Guta; Stacie Mackey; H Michael Gach; Sasa Mutic; Olga Green; Taeho Kim
Journal:  J Appl Clin Med Phys       Date:  2021-01-15       Impact factor: 2.102

2.  Large field of view distortion assessment in a low-field MR-linac.

Authors:  Siamak P Nejad-Davarani; Joshua P Kim; Dongsu Du; Carri Glide-Hurst
Journal:  Med Phys       Date:  2019-03-23       Impact factor: 4.071

Review 3.  A narrative review of MRI acquisition for MR-guided-radiotherapy in prostate cancer.

Authors:  Jing Yuan; Darren M C Poon; Gladys Lo; Oi Lei Wong; Kin Yin Cheung; Siu Ki Yu
Journal:  Quant Imaging Med Surg       Date:  2022-02

Review 4.  Quantitative Magnetic Resonance Imaging for Biological Image-Guided Adaptive Radiotherapy.

Authors:  Petra J van Houdt; Yingli Yang; Uulke A van der Heide
Journal:  Front Oncol       Date:  2021-01-29       Impact factor: 6.244

Review 5.  Quantitative magnetic resonance imaging on hybrid magnetic resonance linear accelerators: Perspective on technical and clinical validation.

Authors:  Daniela Thorwarth; Matthias Ege; Marcel Nachbar; David Mönnich; Cihan Gani; Daniel Zips; Simon Boeke
Journal:  Phys Imaging Radiat Oncol       Date:  2020-10-17

6.  Determining the optimum tumor control probability model in radiotherapy of glioblastoma multiforme using magnetic resonance imaging data pre- and post- radiation therapy.

Authors:  Shabnam Banisharif; Daryoush Shahbazi-Gahrouei; Ali Akhavan; Naser Rasouli; Saghar Shahbazi-Gahrouei
Journal:  J Res Med Sci       Date:  2022-02-18       Impact factor: 1.852

7.  Evaluating the accuracy of geometrical distortion correction of magnetic resonance images for use in intracranial brain tumor radiotherapy.

Authors:  Seyed Mehdi Bagherimofidi; Claus Chunli Yang; Roberto Rey-Dios; Madhava R Kanakamedala; Ali Fatemi
Journal:  Rep Pract Oncol Radiother       Date:  2019-10-19

8.  Task group 284 report: magnetic resonance imaging simulation in radiotherapy: considerations for clinical implementation, optimization, and quality assurance.

Authors:  Carri K Glide-Hurst; Eric S Paulson; Kiaran McGee; Neelam Tyagi; Yanle Hu; James Balter; John Bayouth
Journal:  Med Phys       Date:  2021-07       Impact factor: 4.071

9.  Integration of quantitative imaging biomarkers in clinical trials for MR-guided radiotherapy: Conceptual guidance for multicentre studies from the MR-Linac Consortium Imaging Biomarker Working Group.

Authors:  Petra J van Houdt; Hina Saeed; Daniela Thorwarth; Clifton D Fuller; William A Hall; Brigid A McDonald; Amita Shukla-Dave; Ernst S Kooreman; Marielle E P Philippens; Astrid L H M W van Lier; Rick Keesman; Faisal Mahmood; Catherine Coolens; Teodor Stanescu; Jihong Wang; Neelam Tyagi; Andreas Wetscherek; Uulke A van der Heide
Journal:  Eur J Cancer       Date:  2021-06-15       Impact factor: 10.002

10.  A new frontier of image guidance: Organs at risk avoidance with MRI-guided respiratory-gated intensity modulated radiotherapy: Technical note and report of a case.

Authors:  Mariangela Massaccesi; Davide Cusumano; Luca Boldrini; Nicola Dinapoli; Bruno Fionda; Stefania Teodoli; Luigi Azario; Gian Carlo Mattiucci; Mario Balducci; Francesco Cellini; Vincenzo Valentini
Journal:  J Appl Clin Med Phys       Date:  2019-05-04       Impact factor: 2.102

  10 in total

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