Abstract #3807

Early detection of Pancreatic Cancer by merging Hyperpolarized Magnetic Resonance and Artificial Intelligence

José Santiago Enriquez^1,2, Shivanand Pudakalakatti¹, Prasanta Dutta¹, Florencia McAllister^2,3, and Pratip Bhattacharya^1,2

¹Cancer Systems Imaging, UT MD Anderson Cancer Center, Houston, TX, United States, ²UT MD Anderson UT Health GSBS, Houston, TX, United States, ³Clinical Cancer Prevention, UT MD Anderson Cancer Center, Houston, TX, United States

Early detection and prevention of pancreatic cancer is a modern-day challenge and there is an unmet need for non-invasive imaging markers that help identify the aggressive sub-type(s) of pancreatic ductal adenocarcinoma (PDAC) at diagnosis Our objective is to address this knowledge gap by combining hyperpolarized metabolic imaging with Artificial Intelligence (AI).

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.