Quantitative imaging applications such as imaging biomarkers advance the utility of medical imaging. They may detect and characterize disease, before, during or after a course of therapy. They may also predict the course of disease, with or without therapy.
A precondition for use is the demonstration of performance according to recognized descriptive statistics:
- In a defined patient population,
- For a specific biological phenomenon associated with a known disease state,
- With evidence in large patient populations,
- Externally validated.
Open-source informatics tooling used to characterize the performance of quantitative medical imaging as needed to advance the field. These tools may be deployed internal to an organization or used for collaborative work across organizations. The data on which they work may be accessible only to identified individuals, or more broadly in an open archive, to suit the specific project purpose.