End-to end AI-assisted workflow for PSMA PET/CT reporting
Lead Participant:
MIRADA MEDICAL LIMITED
Abstract
Prostate specific membrane antigen (PSMA)-targeted imaging agents are a relatively new family of radiotracers used for imaging prostate cancer patients with Positron Emission Tomography (PET) for diagnostics, therapy selection and response assessment and a major growth area in clinical practice. Whilst PSMA PET/CT offers high sensitivity in detecting metastatic disease, it is also subject to potential interpretative pitfalls and equivocal findings, with uptake in regions of the image which does not reflect prostate cancer, including normal biodistribution in several organs, excretion via the urinary tract, expression in a variety of benign and other malignant conditions, and potential for non-specific bone uptake. A number of standardised reporting systems have been proposed in radiology that aim to standardize the interpretation and reporting of findings from a specific imaging modality, including for oncologic PET/CT.The focus of this project is on developing and evaluating an end-to-end AI-assisted PSMA PET/CT reporting tool, in order to assist clinicians in better stratifying patients to the appropriate treatment, together with creating the tools for standardisation and automatic reporting to assess efficiency gains and consistency of reporting quality. The solution will be built on the functionality of Mirada XD diagnostic software which is used in thousands of hospitals worldwide in clinical routine.
The project will involve a collaboration between Mirada Medical, and clinicians at Leeds Teaching Hospitals, University Hospitals Bristol and Newcastle upon Tyne Hospitals NHS Foundation Trust. It will build on our recent work on AI-assisted FDG-PET/CT reporting applied to lesion detection and segmentation in lymphoma patients (part of the NCIMI research program, InnovateUK104688).
The project focusses on oncology and novel digital and data-enabled tools to more accurately diagnose conditions and stratify patients to the most appropriate treatment. It will include prototyping, evaluation of the solution within a clinical environment, and demonstration of clinical utility and effectiveness.
Technical and clinical results will be published and presented at international conferences.
The project will involve a collaboration between Mirada Medical, and clinicians at Leeds Teaching Hospitals, University Hospitals Bristol and Newcastle upon Tyne Hospitals NHS Foundation Trust. It will build on our recent work on AI-assisted FDG-PET/CT reporting applied to lesion detection and segmentation in lymphoma patients (part of the NCIMI research program, InnovateUK104688).
The project focusses on oncology and novel digital and data-enabled tools to more accurately diagnose conditions and stratify patients to the most appropriate treatment. It will include prototyping, evaluation of the solution within a clinical environment, and demonstration of clinical utility and effectiveness.
Technical and clinical results will be published and presented at international conferences.
Lead Participant | Project Cost | Grant Offer |
|---|---|---|
| MIRADA MEDICAL LIMITED | £558,685 | £ 335,211 |
|   | ||
Participant |
||
| LEEDS TEACHING HOSPITALS NHS TRUST | £77,595 | £ 77,595 |
| UNIVERSITY HOSPITALS BRISTOL & WESTON NHS FOUNDATION TRUST | £81,064 | £ 81,064 |
People |
ORCID iD |
| John Sage (Project Manager) |