Multiparametric magnetic resonance imaging in mucosal primary head and neck cancer: a prospective imaging biomarker study

BMC Cancer

Study Protocol

Allan Fowler¹  Robba Rai²  Mark T Lee²  Christopher N Rumley³  Gary Liney⁴  Lois Holloway⁵  Dion Forstner⁶  Myo Min⁷ 

[1] Department of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia;Department of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia;South Western Clinical School, School of Medicine, University of New South Wales, Sydney, NSW, Australia;Department of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia;South Western Clinical School, School of Medicine, University of New South Wales, Sydney, NSW, Australia;Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia;Department of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia;South Western Clinical School, School of Medicine, University of New South Wales, Sydney, NSW, Australia;Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia;Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia;Department of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia;South Western Clinical School, School of Medicine, University of New South Wales, Sydney, NSW, Australia;Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia;Centre for Medical Radiation Physics, University of Wollongong, Wollongong, NSW, Australia;Institute of Medical Physics, School of Physics, University of Sydney, Camperdown, NSW, Australia;Department of Radiation Oncology, Cancer Therapy Centre, Liverpool Hospital, Liverpool, NSW, Australia;South Western Clinical School, School of Medicine, University of New South Wales, Sydney, NSW, Australia;Ingham Institute for Applied Medical Research, Liverpool, NSW, Australia;School of Science and Health, Western Sydney University, Parramatta, NSW, Australia;Sunshine Coast University Hospital, Birtinya, QLD, Australia;

关键词: Head and neck cancer;    MRI;    Functional imaging;    Hypoxia;    Predictive role;    Chemoradiation;    Dynamic contrast-enhanced MRI;    Diffusion-weighted imaging;   

DOI  :  10.1186/s12885-017-3448-5

 received in 2017-04-28, accepted in 2017-06-26,  发布年份 2017

来源: Springer

【 摘 要 】

BackgroundRadical radiotherapy, with or without concomitant chemotherapy forms the mainstay of organ preservation approaches in mucosal primary head and neck cancer. Despite technical advances in cancer imaging and radiotherapy administration, a significant proportion of patients fail to achieve a complete response to treatment. For those patients who do achieve a complete response, acute and late toxicities remain a cause of morbidity. A critical need therefore exists for imaging biomarkers which are capable of informing patient selection for both treatment intensification and de-escalation strategies.Methods/designA prospective imaging study has been initiated, aiming to recruit patients undergoing radical radiotherapy (RT) or chemoradiotherapy (CRT) for mucosal primary head and neck cancer (MPHNC). Eligible patients are imaged using FDG-PET/CT before treatment, at the end of week 3 of treatment and 12 weeks after treatment completion according to local imaging policy. Functional MRI using diffusion weighted (DWI), blood oxygen level-dependent (BOLD) and dynamic contrast enhanced (DCE) sequences is carried out prior to, during and following treatment. Information regarding treatment outcomes will be collected, as well as physician-scored and patient-reported toxicity.DiscussionThe primary objective is to determine the correlation of functional MRI sequences with tumour response as determined by FDG-PET/CT and clinical findings at 12 weeks post-treatment and with local control at 12 months post-treatment. Secondary objectives include prospective correlation of functional MRI and PET imaging with disease-free survival and overall survival, defining the optimal time points for functional MRI assessment of treatment response, and determining the sensitivity and specificity of functional MRI sequences for assessment of potential residual disease following treatment. If the study is able to successfully characterise tumours based on their functional MRI scan characteristics, this would pave the way for further studies refining treatment approaches based on prognostic and predictive imaging data.Trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12616000534482 (26 April 2016).

【 授权许可】

CC BY   
© The Author(s). 2017