BMBS MSc(Oxf) MD(Res) FHEA FRCPath
Senior Clinical Research Fellow in Urological and Digital Pathology
- Consultant Pathologist (OUH)
I am a pathologist and researcher in NDS and I work as an Honorary Consultant in Cellular Pathology (urological pathology) at Oxford University Hospitals NHS FT. I was appointed as an academic consultant in Oxford in 2019. My training is in Histopathology and Evidence-Based Medicine.
The main focus of my work is on Evidence-Based Pathology (EBP). I am leading Oxford's collaboration with IARC on the WCT EVI MAP Project (see below).
Another key area of my work is in developing the use of digital pathology tools such as digital microscopy, whole slide imaging, image analysis, machine learning, and artificial intelligence, with the aim of improving pathology services for the NHS in Oxford. I am working on this as part of the PathLAKE Plus and ARTICULATE PRO projects (see below).
I am also a pathologist for the TRANSLATE clinical trial, and contribute pathology support to basic science projects within NDS.
WCT EVI MAP
I am leading Oxford's work on the WCT EVI MAP Project, which is being run in partnership with the IC3R initiative.
The WHO Classification of Tumours: a Living Evidence Gap Map by Tumour Type (WCT EVI MAP) Project aims to map and evaluate the evidence-base for the entire WHO Classification of Tumours (WCT; commonly known as the 'WHO blue books') - the fundamental framework used internationally as the basis for cancer diagnosis. We will be mapping the evidence to identify gaps and pockets of low quality data in the evidence base.
The EVI MAP project began in July 2022 with the initial focus being on developing a new tumour pathology specific hierarchy of evidence for use in the mapping process. At the end of the project we expect to have a living, updatable visual map of the evidence in the WCT. We are funded for four years by €3.5M EC Horizon and Innovate UK (UKRI) grants.
IC3R was established by the International Agency for Research on Cancer (IARC) at the World Health Organisation and aims to promote evidence-based practice and standards for cancer classification and research. IC3R will provide a forum to coordinate evidence generation, synthesis, evaluation, and standard-setting for tumour classification worldwide. There are a number of active projects co-ordinated by the collaboration, including WCT EVI MAP, and Oxford is an associate member of the group.
ARTICULATE PRO is a two-year project, funded by the Accelerative Access Collaborative and NHSx through a Phase 4 AI in Health and Care Award. The project officially began on 1 September 2021. Our remit is to investigate the deployment of AI (computer assisted technology) in the prostate cancer pathway by using Paige Prostate to assist pathologists when reading prostate biopsies.
Teaching and training
I teach undergraduate pathology to Oxford medical students on the NDCLS Laboratory Medicine Course. I am also heavily involved in histopathology training of junior doctors in Oxford and lead on ST1 training in urological pathology. I am also an Educational Supervisor for HEETV and I am the Careers Lead for Cellular Pathology at OUH, supervising placements in histopathology for Foundation Doctors.
Prostate Cancer AI tool evaluation in Oxford begins
UKRI / Horizon Award - Oxford Pathology Collaboration with WHO Classification of Tumours
Oxford PathLAKE's Lisa Browning wins award!!
Automated assessment of quality in pathology
NHSx Award for PAIGE AI Trial in Oxford NHS Pathology
Artificial intelligence tool for streamlining pathology workflow developed in Oxford
Indave BI. et al, (2022), Histopathology, 81, 420 - 425
Rakovic K. et al, (2022), Diagnostics (Basel), 12
Automated Quality Assessment of Large Digitised Histology Cohorts by Artificial Intelligence
VERRILL C. et al, (2022), Scientific Reports
Chelebian E. et al, (2021), Cancers (Basel), 13
Artificial Intelligence for Advance Requesting of Immunohistochemistry in Diagnostically Uncertain Prostate Biopsies”.
VERRILL C. et al, (2021), Modern Pathology
Colling R. et al, (2021), Diagnostics (Basel), 11
Colling R. et al, (2019), J Pathol
Moxley-Wyles B. et al, (2020), Diagnostic Histopathology
Ghosh A. and Colling R., (2020), Diagn Histopathol (Oxf), 26, 529 - 536
Macklin PS. et al, (2019), Br J Cancer