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First-in-human technique translation of oxygen-enhanced MRI to an MR Linac system in patients with head and neck cancer.
Dubec, Michael J; Buckley, David L; Berks, Michael; Clough, Abigael; Gaffney, John; Datta, Anubhav; McHugh, Damien J; Porta, Nuria; Little, Ross A; Cheung, Susan; Hague, Christina; Eccles, Cynthia L; Hoskin, Peter J; Bristow, Robert G; Matthews, Julian C; van Herk, Marcel; Choudhury, Ananya; Parker, Geoff J M; McPartlin, Andrew; O'Connor, James P B.
Afiliación
  • Dubec MJ; Division of Cancer Sciences, University of Manchester, Manchester, UK; Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK. Electronic address: Michael.Dubec@nhs.net.
  • Buckley DL; Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK; Biomedical Imaging, University of Leeds, Leeds, UK.
  • Berks M; Division of Cancer Sciences, University of Manchester, Manchester, UK.
  • Clough A; Radiotherapy, The Christie NHS Foundation Trust, Manchester, UK.
  • Gaffney J; Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
  • Datta A; Division of Cancer Sciences, University of Manchester, Manchester, UK; Radiology, The Christie NHS Foundation Trust, Manchester, UK.
  • McHugh DJ; Division of Cancer Sciences, University of Manchester, Manchester, UK; Christie Medical Physics and Engineering, The Christie NHS Foundation Trust, Manchester, UK.
  • Porta N; Clinical Trials and Statistics Unit, The Institute of Cancer Research, London, UK.
  • Little RA; Division of Cancer Sciences, University of Manchester, Manchester, UK.
  • Cheung S; Division of Cancer Sciences, University of Manchester, Manchester, UK.
  • Hague C; Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
  • Eccles CL; Division of Cancer Sciences, University of Manchester, Manchester, UK; Radiotherapy, The Christie NHS Foundation Trust, Manchester, UK.
  • Hoskin PJ; Division of Cancer Sciences, University of Manchester, Manchester, UK; Department of Clinical Oncology, Mount Vernon Cancer Centre, Northwood, UK.
  • Bristow RG; Division of Cancer Sciences, University of Manchester, Manchester, UK; Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
  • Matthews JC; Neuroscience and Experimental Psychology, University of Manchester, Manchester, UK.
  • van Herk M; Division of Cancer Sciences, University of Manchester, Manchester, UK.
  • Choudhury A; Division of Cancer Sciences, University of Manchester, Manchester, UK; Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK.
  • Parker GJM; Bioxydyn Ltd, Manchester, UK; Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
  • McPartlin A; Clinical Oncology, The Christie NHS Foundation Trust, Manchester, UK; Radiation Oncology, Princess Margaret Cancer Center, Toronto, Canada.
  • O'Connor JPB; Division of Cancer Sciences, University of Manchester, Manchester, UK; Radiology, The Christie NHS Foundation Trust, Manchester, UK; Division of Radiotherapy and Imaging, The Institute of Cancer Research, London, UK.
Radiother Oncol ; 183: 109592, 2023 06.
Article en En | MEDLINE | ID: mdl-36870608
ABSTRACT
BACKGROUND AND

PURPOSE:

Tumour hypoxia is prognostic in head and neck cancer (HNC), associated with poor loco-regional control, poor survival and treatment resistance. The advent of hybrid MRI - radiotherapy linear accelerator or 'MR Linac' systems - could permit imaging for treatment adaptation based on hypoxic status. We sought to develop oxygen-enhanced MRI (OE-MRI) in HNC and translate the technique onto an MR Linac system. MATERIALS AND

METHODS:

MRI sequences were developed in phantoms and 15 healthy participants. Next, 14 HNC patients (with 21 primary or local nodal tumours) were evaluated. Baseline tissue longitudinal relaxation time (T1) was measured alongside the change in 1/T1 (termed ΔR1) between air and oxygen gas breathing phases. We compared results from 1.5 T diagnostic MR and MR Linac systems.

RESULTS:

Baseline T1 had excellent repeatability in phantoms, healthy participants and patients on both systems. Cohort nasal concha oxygen-induced ΔR1 significantly increased (p < 0.0001) in healthy participants demonstrating OE-MRI feasibility. ΔR1 repeatability coefficients (RC) were 0.023-0.040 s-1 across both MR systems. The tumour ΔR1 RC was 0.013 s-1 and the within-subject coefficient of variation (wCV) was 25% on the diagnostic MR. Tumour ΔR1 RC was 0.020 s-1 and wCV was 33% on the MR Linac. ΔR1 magnitude and time-course trends were similar on both systems.

CONCLUSION:

We demonstrate first-in-human translation of volumetric, dynamic OE-MRI onto an MR Linac system, yielding repeatable hypoxia biomarkers. Data were equivalent on the diagnostic MR and MR Linac systems. OE-MRI has potential to guide future clinical trials of biology guided adaptive radiotherapy.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Oxígeno / Neoplasias de Cabeza y Cuello Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Radiother Oncol Año: 2023 Tipo del documento: Article

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Oxígeno / Neoplasias de Cabeza y Cuello Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Radiother Oncol Año: 2023 Tipo del documento: Article