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Shonit Punwani is Professor of Magnetic Resonance and Cancer Imaging 听and Consultant Radiologist at 最准的六合彩论坛H. His medical training, undertaken at 最准的六合彩论坛, was supplemented with a PhD in MRI Physics. He completed post-graduate training in Medicine at Northwick Park, before training as a radiologist at 最准的六合彩论坛H. He was awarded a Walport NIHR Clinical Lectureship, before being appointed as a Senior Lecturer at 最准的六合彩论坛 and Consultant Radiologist at 最准的六合彩论坛H.
He leads the 3T MRI research facilities that provide the infrastructure for imaging trials at 最准的六合彩论坛H. He is the research and development lead for radiology at 最准的六合彩论坛H, responsible for the provision of imaging services for clinical trials at 最准的六合彩论坛H. He is Director of Clinical Imaging at the 最准的六合彩论坛H 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 最准的六合彩论坛H 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:听develops 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:听spans 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 | 拢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 | 拢450,000 |
| PI | Establishment of BRC Imaging Trial Unit | NIHR | 60 | 2017 | 拢800,000 |
| PI | BBSRC PhD Case Studenship | BBSRC | 48 | 2017 | 拢100,000 |
| PI | Standardisation of Prostate Multi-parametric MRI across 最准的六合彩论坛 Partners | London Cancer | 48 | 2016 | 拢120,000 |
| PI | Imaging Trial Support Funding听 | 最准的六合彩论坛H | 48 | 2016 | 拢400,000 |
| PI | Establishment of Hyperpolariser Probe GMP Facility听 | 狈滨贬搁听 | 36 | 2016 | 拢254,000 |
| PI | CombIning advaNces in imagiNg with biOmarkers for improVed diagnosis of Aggressive prosTate cancer (INNOVATE) | Prostate Cancer UK听 | 48 | 2015 | 拢534,000 |
| Co-I | Learning MRI and histology image mappings for cancer diagnosis and prognosis听 | EPSRC | 36 | 2018 | 拢774,000 |
| Co-I | The exploitation of a novel image-based risk stratification tool in early听prostate cancer听- the Re-IMAGINE Consortium听 | MRC | 60 | 2018 | 拢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)听 | NIHR EME | 36 | 2015 | 拢578,000 |
| Co-I | GLINT - developing Gluco-CEST MRI | Horizon 2020听 | 60 | 2015 | 鈧�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 | 拢750,830.49 |
| Co-I | Optiminising the role of imaging in the early detection of cancer (ACED) | CRUK | 60 | 2019 | 拢3,499,999.60 |
| PI | NCITA: National Cancer Imaging Translational Accelerator听 | CRUK | 60 | 2019 | 拢9,729,629.82 |
| PI | Luminal Water Fraction MRI | Gift donation | 48 | 2019 | 拢151,000 |
| PI | Luminal Index MRI Identification of Treatment critical Prostate Cancer (LIMIT PCa) | CRUK | 36 | 2021 | 拢583,560.17 |
| PI | Feasibility Study of Hyperpolarized 13C MRI in Gilomas and Correlation of the findings with Metabolic MRI Metrics and Histopathology听 | NIHR | 30 | 2018 | 拢40,000.00 |
| PI | Reconcile Predicting Prognosis in Prostate Cancer: a Pioneering Longitudinal Trial听 | Jon Moulton Charity Trust | 48 | 2019 | 拢763,034.28 |
For more information听on CMI PI's full list of current and completed reserach grants, please follow links below:
