Characterization of Small Renal Tumors with MR Elastography : A Feasibility Study
- Submitting institution
-
King's College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 97586707
- Type
- D - Journal article
- DOI
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10.1097/RLI.0000000000000449
- Title of journal
- Investigative Radiology
- Article number
- -
- First page
- 344
- Volume
- 53
- Issue
- 6
- ISSN
- 0020-9996
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2018
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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7
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Our gap analysis found better characterisation of incidentally detected kidney tumours is needed to avoid unnecessary surgery in 20% (https://doi.org/10.1016/j.euf.2019.01.014). Here, for the first time, our underpinning magnetic resonance (MR) elastography acquisition and reconstruction method (https://doi.org/10.1016/j.media.2017.12.005; https://doi.org/10.1002/nbm.3935), showed biomechanical properties allowed higher accuracy in differentiating benign from malignant kidney tumours than possible with conventional MRI. This proof of clinical efficacy led to technology implementation within Siemens Healthineers Pre-Product Software towards clinical translation (radhouene.neji@siemens-healthineers.com); development of a new elastography probe (Theme within Wellcome/EPSRC Centre for Medical Engineering 203148/Z/16/Z); and funding for robustness/volunteer reproducibility testing (NIHR Biomedical Research Centre; REC: RJ115/N309).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -