2022 PET Pharmacokinetic Modelling Course May 26, 2022 - May 28, 2022 — Edinburgh
Brain and Brain PET 2022 May 29, 2022 - Jun 01, 2022 — Glasgow
2022 SINAPSE ASM Jun 13, 2022 - Jun 14, 2022 — Strathclyde University, Glasgow
2022 OHBM Annual Meeting Jun 19, 2022 - Jun 23, 2022 — Glasgow, SEC


SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists. **Unfortunately these do not currently work in browsers**

Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

SINAPSE Image of the Month: Prognostic ultrasound features of breast cancer

October 2020 SINAPSE Image of the Month


Courtesy of Prof Andy Evans, these images illustrate ultrasound features of invasive breast cancer which have been shown through retrospective analysis to have prognostic significance for breast cancer specific survival. A study of the ultrasound images from 319 consecutive women collected prospectively within a single breast service investigated associations between ultrasound features of the lesions, according to the American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) lexicon, and breast cancer deaths. Multivariate analysis found three factors with prognostic significance for poorer breast cancer specific survival: focal oedema surrounding the tumour as shown in (a), posterior acoustic enhancement as shown in (b), and skin involvement (skin thickening or direct skin invasion). The prognostic significance of these ultrasound features suggest they could be used to guide the use of neoadjuvant systemic treatment.


The images are taken from a recent study now in press in Clinical Radiology: Lawson BT, Vinnicombe S, Whelehan P, Macaskill EJ, Sim YT, Evans A. Associations between the ultrasound features of invasive breast cancer and breast cancer specific survival. Clinical Radiology, 2020.