Keywords: Diffusion Analysis & Visualization, Cancer
Motivation: EOC is highly heterogeneous, meaning the average ADC value of the total tumor cannot reflect its internal components, which vary based on pathology.
Goal(s): This study sought to assess the utility of ADC values from total and functional tumor burdens to determine pathologic prognostic factors in EOC.
Approach: Using k-means clustering to divide the tumor into 2 clusters based on their ADC values, the low ADC cluster was considered to be high cellular. Furthermore, minimum, maximum and average ADC values of functional tumor were calculated.
Results: ADC values derived from functional tumor could be used to assess preoperative prognostic factors in EOC.
Impact: ADC values derived from functional tumor could be used to assess preoperative prognostic factors in EOC.
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.
Keywords