4 results match your criteria: "King's College London and Department of Radiology[Affiliation]"
Development and Evaluation of Machine Learning in Whole-Body Magnetic Resonance Imaging for Detecting Metastases in Patients With Lung or Colon Cancer: A Diagnostic Test Accuracy Study.
Invest Radiol
December 2023
From the Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, United Kingdom (A.G.R., X.L., I.L., T.D.B., N.B., G.J.W., N.S., A.L., A.H., E.O.A.); Imaging Department, Imperial College Healthcare NHS Trust, London, United Kingdom (A.G.R., T.D.B., N.B., A.S., J.B., A.F., N.S., K.W., A.L., J.R., M.S.); Imperial Clinical Trials Unit, Imperial College London, London, United Kingdom (N.J., S.S., A.T.P., J.W., X.L.); Centre for Medical Imaging, University College London, London, United Kingdom (S.P., H.S., A.P., S.T.); Department of Radiology, University College London Hospital, London, United Kingdom (S.P., H.S., A.P., S.T.); Cancer Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London and Department of Radiology, Guy's & St Thomas' Hospitals NHS Foundation Trust, London, United Kingdom (V.G., C.K.-M.); Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria (G.J.W.); Royal Marsden NHS Foundation Trust and The Institute of Cancer Research, London, United Kingdom (D.-M.K., C.M., N.T., N.S., C.K.-M., K.N.D.P.); Cancer Research UK and University College London Cancer Trials Unit, London, United Kingdom (K.R.); Faculty of Engineering, Department of Computing, Imperial College London, London, United Kingdom (Q.D., B.G.); King's Cancer Prevention Group, School of Cancer and Pharmaceutical Sciences, King's College London, London, United Kingdom (J.W.); Department of Radiology, Homerton NHS Foundation Trust, London, United Kingdom (P.B.); Paul Strickland Scanner Centre, Mount Vernon Hospital (H.S.); Department of Radiology, The Hillingdon Hospitals NHS Foundation Trust, London, United Kingdom (H.S.); Thirlestaine Breast Centre, Gloucestershire Hospitals NHS Foundation Trust, London, United Kingdom (S.V.); and Nightingale-Saunders Clinical Trials & Epidemiology Unit, King's Clinical Trials Unit, London, United Kingdom (A.T.P.).
Objectives: Whole-body magnetic resonance imaging (WB-MRI) has been demonstrated to be efficient and cost-effective for cancer staging. The study aim was to develop a machine learning (ML) algorithm to improve radiologists' sensitivity and specificity for metastasis detection and reduce reading times.
Materials And Methods: A retrospective analysis of 438 prospectively collected WB-MRI scans from multicenter Streamline studies (February 2013-September 2016) was undertaken.
NIHR Imaging Group. Who are we and what do we do?
Clin Radiol
July 2023
NIHR CRN National Specialty Cluster, School of Life Course & Population Sciences, Faculty of Life Sciences & Medicine, King's College London, London SE1 1UL, UK.
Current pressure on the UK imaging workforce deters imaging research in the NHS and requires urgent attention.
Clin Radiol
December 2022
Cancer Imaging, School of Biomedical Engineering & Imaging Sciences, King's College London and Department of Radiology, Guy's & St Thomas' NHS Foundation Trust, London, UK.
Medical imaging is a multidisciplinary specialty, combining clinical expertise from medical physics, radiography, and radiology, and plays a key role in patient care. Research is vital to ensure the care delivered to patients is evidence-based, and is a core component of clinical governance; however, there are pressures on the imaging workforce, which are significantly impeding imaging research. This commentary presents a research gap analysis pertaining to the multidisciplinary imaging workforce on behalf of the National Institute for Health Research (NIHR) Imaging Workforce Group.
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