Dr Margaret Paggiosi BSc (Hons) PhDMargaret Pagiossi

Research Fellow and Research Lead for Bone Densitometry

Academic Unit of Bone Metabolism
Department of Oncology and Metabolism
Metabolic Bone Centre
Northern General Hospital
Sheffield
S5 7AU
UK

Office: Metabolic Bone Centre (Sorby Wing), Northern General Hospital
Telephone: +44 (0)114 215 9697
Email: m.a.paggiosi@sheffield.ac.uk

Biography

I am the Research Lead for Bone Densitometry for the Mellanby Centre for Bone Research, Academic Unit of Bone Metabolism, Department of Oncology and Metabolism, The University of Sheffield, UK. I completed my undergraduate studies at Sheffield Hallam University, UK and attained a BSc Honours degree in Biomedical Technology. In 1998, I received my PhD in Exercise Physiology from Sheffield Hallam University.

In 1996, I joined the Department of Human Metabolism and Clinical Biochemistry, The University of Sheffield to work as a DXA Scanning Technician and Research Associate. I now hold the position of Research Fellow.

I am responsible for the provision of the Academic Unit of Bone Metabolism’s bone densitometry service to internal and external organisations and investigators. I have considerable expertise in a wide variety of bone densitometry and image analysis techniques. I am the Radiation Protection Supervisor (RPS) for the bone imaging work conducted at the NIHR Clinical Research Facility at the Northern General Hospital, Sheffield.

I have published over 20 articles in peer-reviewed journals and present my work at national and international conferences.

Research Interests

My current research interests include the evaluation and application of high-resolution peripheral quantitative computed tomography, the study of bone microstructural properties and strength and the evaluation of treatment effects using bone densitometry techniques. I have considerable expertise in the field of vertebral fracture identification. Of particular interest currently is the development of a computer-assisted diagnostic tool to automate the reading of spine images, using the algorithm-based qualitative (ABQ) method, to provide an accurate and reliable means of identifying vertebral fractures.

Teaching Activities

I lecture on the Mellanby Centre for Bone Research ‘Identification of Vertebral Fractures’ training courses and on the Academic Unit of Bone Metabolism’s teaching course. I perform ad hoc teaching including the practical aspects of bone imaging techniques, radiation protection to students and members of staff.

Professional Activities

I am a member of the American Society for Bone and Mineral Research, the Society of Radiographers and a professional member of the National Osteoporosis Society. I act as co-organiser and co-chair of the Allied Health Professional session for the European Calcified Tissue Society at their annual conferences. I am a regular reviewer of articles for key journals including Osteoporosis International, the Journal of Clinical Densitometry and Bone.

Publications

myPublications

Research Grants

  • Arthritis Research UK Medical Technologies Proof of Concept Award. Development and Evaluation of a Functional Prototype for the Automated Identification of Osteoporotic Vertebral Fractures: VERDICT. Frangi AF (PI), Paggiosi MA (co-applicant), Eastell R, Pozo Soler J, Peel NFA, Jacques R. Project grant: April 2017 to March 2019.
  • Weston Park Hospital Cancer Charity Louise Victoria Craddock Memorial fund. Equipment Purchase: DXA Machine That Is Particularly Effective At Measuring Body Fat. Paggiosi MA (PI), Eastell R, Brown JE. Capital project grant: November 2016 to April 2017.
  • The University of Sheffield Innovation, Impact and Knowledge Exchange (IIKE) Award. Cal-CT: Optimising calcaneus microstructure measurements for the assessment of skeletal strength in osteoporosis. EV McCloskey (PI), Frangi AF, Metcalf LM, Paggiosi MA (co-applicant). Project grant: October 2015 to March 2017.
  • The University of Sheffield through the MRC Confidence in Concept Scheme. VERTEBRAL FRACTURE: Vertebral analysis and fracture risk assessment from 2D DXA scans. Eastell R (PI), Frangi AF, Paggiosi MA (co-applicant), Pozo Soler J. Project grant: July 2014 to June 2015