Urology MDT: Under and over calls
has now ended
If you would like to watch the webinar you can access the recording here. 

Presenter | Dr Tristan Barrett 

When | Tuesday 19th March | 5.45pm - 7.45pm GMT

Where | Attend the webinar online or attend the event in person at Everlight's new central London offices at 350 Euston Road, NW1 3AX; select your preference in the registration form. 

If you cannot attend live| We will send a recording of the webinar to all webinar registrants the day following the webinar. If you unable to watch the event live you are welcome to register and watch the webinar retrospectively. 

This webinar provides 2 CPD credits in accordance with the CPD Scheme of the Royal College of Radiologists.

Webinar overview

MDTs offer advantages, including putting radiologists at the centre of the decision making process, becoming familiar with management decisions, and gaining feedback and follow-up on cases. Repetitive themes become apparent such as “over-calls” not needing MDT review and “under-calls” of recurrent areas missed; the talk covers such CT-based examples from the Urology MDT.

Key learning outcomes:

  1. How to work-up small renal masses 
  2. Knowledge of common pitfalls in follow-up renal CT 
  3. How to use opposed phase MRI to your advantage 
Register here

TBarrett (1)

 Dr Tristan Barrett | University of Cambridge Lecturer | Clinical Lead for Uro-Radiology 

Tristan Barrett is currently a University Lecturer at the University of Cambridge and an Honorary NHS Consultant Radiologist where he is the clinical lead for uro-radiology. He has previously worked as a Visiting Fellow at National Institutes for Health, USA in the Molecular Imaging Program from 2005-2007. Following completion of his radiology training at Cambridge, he undertook a fellowship in body imaging at the University of Toronto, Canada. He is the lead author of 3 books, has written several book chapters and review articles and has published over 70 papers. His main research interest is prostate cancer, in particular multi-parametric MRI techniques for identifying and characterising tumours.