Shonit Punwani is Professor of Magnetic Resonance and Cancer Imaging Ìýand Consultant Radiologist at Â鶹´«Ã½ÊÓƵÍøÕ¾H. His medical training, undertaken at Â鶹´«Ã½ÊÓƵÍøÕ¾, was supplemented with a PhD in MRI Physics. He completed post-graduate training in Medicine at Northwick Park, before training as a radiologist at Â鶹´«Ã½ÊÓƵÍøÕ¾H. He was awarded a Walport NIHR Clinical Lectureship, before being appointed as a Senior Lecturer at Â鶹´«Ã½ÊÓƵÍøÕ¾ and Consultant Radiologist at Â鶹´«Ã½ÊÓƵÍøÕ¾H.
He leads the 3T MRI research facilities that provide the infrastructure for imaging trials at Â鶹´«Ã½ÊÓƵÍøÕ¾H. He is the research and development lead for radiology at Â鶹´«Ã½ÊÓƵÍøÕ¾H, responsible for the provision of imaging services for clinical trials at Â鶹´«Ã½ÊÓƵÍøÕ¾H. He is Director of Clinical Imaging at the Â鶹´«Ã½ÊÓƵÍøÕ¾H Biomedical Research Centre (BRC) and also directs the BRC Medical Imaging Trials Unit (the first unit of its kind dedicated to the support of clinical trials involving new/novel imaging methods). He co-chairs the Â鶹´«Ã½ÊÓƵÍøÕ¾H Cancer Collaborative Diagnostic Expert Reference Group with a remit to facilitate the spread of clinically proven imaging technologies within the region.
He has a specialist clinical and research interest in the application and development of local and whole-body quantitative and functional MRI methods for imaging prostate cancer.
Research Summary
Shonit has over 110 publications and is principal and co-investigator on several major grant awards. His current research programme focuses on three areas:
- Quantitative multi-parametric MRI:Ìýdevelops computational and analytic methodology for extracting quantitative data from multi-parametric (anatomical and functional) MRI and determine its biological significance for cancer imaging.
- Whole-body MRI:Ìýspans development of novel whole-body techniques for detection of disease and assessment of treatment response, to multi-centre evaluation of more evolved methods for cancer imaging.
- Novel MRI technologies:focus on the clinical translation of novel imaging technologies allowing new approaches to assess microstructure, function and metabolism of cancer in-vivo.
Summary of current research projects:
Position | Project Title | Funder | Duration (months) | Year | Grant award |
---|---|---|---|---|---|
PI | Novel microstructural (VERDICT and T2 mapping) and metabolic (hyperpolarised 13C-Pyruvate) MR in diagnosis, risk-stratification and treatment response assessment of prostate cancer | CRUK | 60 | 2018 | £2,321,544.59 |
PI | Developing MRI Magmetic Susceptibility-Based Cancer Oxygenation Mapping (SBCOM) and Investigating its Clinical Potential to Measure Hypoxia in Prostrate Cancer (PCa) | CRUK | 36 | 2018 | £450,000 |
PI | Establishment of BRC Imaging Trial Unit | NIHR | 60 | 2017 | £800,000 |
PI | BBSRC PhD Case Studenship | BBSRC | 48 | 2017 | £100,000 |
PI | Standardisation of Prostate Multi-parametric MRI across Â鶹´«Ã½ÊÓƵÍøÕ¾ Partners | London Cancer | 48 | 2016 | £120,000 |
PI | Imaging Trial Support FundingÌý | Â鶹´«Ã½ÊÓƵÍøÕ¾H | 48 | 2016 | £400,000 |
PI | Establishment of Hyperpolariser Probe GMP FacilityÌý | ±·±õ±á¸éÌý | 36 | 2016 | £254,000 |
PI | CombIning advaNces in imagiNg with biOmarkers for improVed diagnosis of Aggressive prosTate cancer (INNOVATE) | Prostate Cancer UKÌý | 48 | 2015 | £534,000 |
Co-I | Learning MRI and histology image mappings for cancer diagnosis and prognosisÌý | EPSRC | 36 | 2018 | £774,000 |
Co-I | The exploitation of a novel image-based risk stratification tool in earlyÌýprostate cancerÌý- the Re-IMAGINE ConsortiumÌý | MRC | 60 | 2018 | £6,300,000 |
Co-I | Development and evaluation of machine learning methods in whole body magnetic resonance imaging with diffusion weighted imaging for staging of patients with cancer. (MAchine Learning In whole Body Oncology, MALIBO)Ìý | NIHR EME | 36 | 2015 | £578,000 |
Co-I | GLINT - developing Gluco-CEST MRI | Horizon 2020Ìý | 60 | 2015 | €6,400,000 |
Co-I | Comparison of diagnostic accuracy of Lumial Index and Multi-parametric MRI for Accelerated deTEction of significant prostate cancer (CLIMATE) | John Black Foundation | 36 | 2020 | £750,830.49 |
Co-I | Optiminising the role of imaging in the early detection of cancer (ACED) | CRUK | 60 | 2019 | £3,499,999.60 |
PI | NCITA: National Cancer Imaging Translational AcceleratorÌý | CRUK | 60 | 2019 | £9,729,629.82 |
PI | Luminal Water Fraction MRI | Gift donation | 48 | 2019 | £151,000 |
PI | Luminal Index MRI Identification of Treatment critical Prostate Cancer (LIMIT PCa) | CRUK | 36 | 2021 | £583,560.17 |
PI | Feasibility Â鶹´«Ã½ÊÓƵÍøÕ¾ of Hyperpolarized 13C MRI in Gilomas and Correlation of the findings with Metabolic MRI Metrics and HistopathologyÌý | NIHR | 30 | 2018 | £40,000.00 |
PI | Reconcile Predicting Prognosis in Prostate Cancer: a Pioneering Longitudinal TrialÌý | Jon Moulton Charity Trust | 48 | 2019 | £763,034.28 |
For more informationÌýon CMI PI's full list of current and completed reserach grants, please follow links below: