Accuracy and precision of apparent diffusion coefficient measurements on a 1.5 T MR-Linac in central nervous system tumour patients.

Diffusion-weighted imaging MR-Linac MRI guided radiation therapy Quantitative MRI Radiation therapy Treatment monitoring

Journal

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
ISSN: 1879-0887
Titre abrégé: Radiother Oncol
Pays: Ireland
ID NLM: 8407192

Informations de publication

Date de publication:
11 2021
Historique:
received: 30 07 2021
revised: 20 09 2021
accepted: 22 09 2021
pubmed: 1 10 2021
medline: 31 12 2021
entrez: 30 9 2021
Statut: ppublish

Résumé

MRI linear accelerators (MR-Linacs) may allow treatment adaptation to be guided by quantitative MRI including diffusion-weighted imaging (DWI). The aim of this study was to evaluate the accuracy and precision of apparent diffusion coefficient (ADC) measurements from DWI on a 1.5 T MR-Linac in patients with central nervous system (CNS) tumours through comparison with a diagnostic scanner. CNS patients were treated using a 1.5 T Elekta Unity MR-Linac. DWI was acquired during MR-Linac treatment and on a Philips Ingenia 1.5 T. The agreement between the two scanners on median ADC over the gross tumour/clinical target volumes (GTV/CTV) and in brain regions (white/grey matter, cerebrospinal fluid (CSF)) was computed. Repeated scans were used to estimate ADC repeatability. Daily changes in ADC over the GTV of high-grade gliomas were characterized from MR-Linac scans. DWI from 59 patients was analyzed. MR-Linac ADC measurements showed a small bias relative to Ingenia measurements in white matter, grey matter, GTV, and CTV (bias: -0.05 ± 0.03, -0.08 ± 0.05, -0.1 ± 0.1, -0.08 ± 0.07 μm It is possible to obtain ADC measurements in the brain on a 1.5 T MR-Linac that are comparable to those of diagnostic-quality scanners. This technical validation study adds to the foundation for future studies that will correlate brain tumour ADC with clinical outcomes.

Sections du résumé

BACKGROUND AND PURPOSE
MRI linear accelerators (MR-Linacs) may allow treatment adaptation to be guided by quantitative MRI including diffusion-weighted imaging (DWI). The aim of this study was to evaluate the accuracy and precision of apparent diffusion coefficient (ADC) measurements from DWI on a 1.5 T MR-Linac in patients with central nervous system (CNS) tumours through comparison with a diagnostic scanner.
MATERIALS AND METHODS
CNS patients were treated using a 1.5 T Elekta Unity MR-Linac. DWI was acquired during MR-Linac treatment and on a Philips Ingenia 1.5 T. The agreement between the two scanners on median ADC over the gross tumour/clinical target volumes (GTV/CTV) and in brain regions (white/grey matter, cerebrospinal fluid (CSF)) was computed. Repeated scans were used to estimate ADC repeatability. Daily changes in ADC over the GTV of high-grade gliomas were characterized from MR-Linac scans.
RESULTS
DWI from 59 patients was analyzed. MR-Linac ADC measurements showed a small bias relative to Ingenia measurements in white matter, grey matter, GTV, and CTV (bias: -0.05 ± 0.03, -0.08 ± 0.05, -0.1 ± 0.1, -0.08 ± 0.07 μm
CONCLUSIONS
It is possible to obtain ADC measurements in the brain on a 1.5 T MR-Linac that are comparable to those of diagnostic-quality scanners. This technical validation study adds to the foundation for future studies that will correlate brain tumour ADC with clinical outcomes.

Identifiants

pubmed: 34592363
pii: S0167-8140(21)06743-8
doi: 10.1016/j.radonc.2021.09.020
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

155-162

Subventions

Organisme : CIHR
ID : CIHR 156252
Pays : Canada
Organisme : CIHR
ID : CIHR 148660
Pays : Canada

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Conflicts of Interest Dr. Arjun Sahgal: Advisor/consultant with Abbvie, Merck, Roche, Varian (Medical Advisory Group), Elekta (Gamma Knife Icon), BrainLAB, and VieCure (Medical Advisory Board); Past educational seminars with Elekta AB, Accuray Inc., Varian (CNS Teaching Faculty), BrainLAB, Medtronic Kyphon; Research grant with Elekta AB; Travel accommodations/expenses by Elekta, Varian, BrainLAB. Dr. Chia-Lin Tseng: Travel accommodations/expenses & honoraria for past educational seminars by Elekta; belongs to the Elekta MR-Linac Research Consortium; advisor/consultant with Sanofi. Dr. Sten Myrehaug: Received research support from Novartis AG, honoraria from Novartis AG and Ipsen and travel support from Elekta. None related to this work. Dr. Mark Ruschin: Co‐inventor of and owns associated intellectual property specific to the image‐guidance system on the Gamma Knife Icon. None related to this work. Mrs. Mikki Campbell: Received honorarium for past educational seminars with Elekta AB; received research grants with Elekta AB; and travel accommodations/expenses by Elekta; belongs to the Elekta MR Linac Research Consortium. Dr. Brige Chugh: Previously held an industry partnership grant with Modus QA.

Auteurs

Liam S P Lawrence (LSP)

Department of Medical Biophysics, University of Toronto, Toronto, Canada.

Rachel W Chan (RW)

Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada.

Hanbo Chen (H)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Brian Keller (B)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

James Stewart (J)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Mark Ruschin (M)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Brige Chugh (B)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada; Department of Physics, Ryerson University, Toronto, Canada.

Mikki Campbell (M)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Aimee Theriault (A)

Department of Medical Biophysics, University of Toronto, Toronto, Canada; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada; Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland.

Greg J Stanisz (GJ)

Department of Medical Biophysics, University of Toronto, Toronto, Canada; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada; Department of Neurosurgery and Paediatric Neurosurgery, Medical University, Lublin, Poland.

Scott MacKenzie (S)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Sten Myrehaug (S)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Jay Detsky (J)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Pejman J Maralani (PJ)

Medical Imaging, University of Toronto, Sunnybrook Health Sciences Centre, Toronto, Canada.

Chia-Lin Tseng (CL)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Greg J Czarnota (GJ)

Department of Medical Biophysics, University of Toronto, Toronto, Canada; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada; Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Arjun Sahgal (A)

Department of Radiation Oncology, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Canada.

Angus Z Lau (AZ)

Department of Medical Biophysics, University of Toronto, Toronto, Canada; Physical Sciences Platform, Sunnybrook Research Institute, Toronto, Canada. Electronic address: angus.lau@sri.utoronto.ca.

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