Keywords: Diagnosis/Prediction, Prostate
Motivation: Biochemical recurrence (BCR) remains a significant concern for patients after radical prostatectomy.
Goal(s): This study’s objective was to determine whether automated mpMRI cancer risk maps could predict postsurgical prostate cancer (PCa) progression (Biochemical Recurrence (BCR).
Approach: Derived lesion volumes and mpMRI parameters from the cancer risk maps were used to analyze factors for BCR.
Results: A decision tree model for BCR was generated with sensitivity = 0.81, specificity = 0.82, and ROC AUC = 0.85. The prediction results indicate the potential of mpMRI and PCa risk maps to improve prediction of BCR after prostatectomy.
Impact: In this study we used preprostatectomy multiparametric MRI (mpMRI) cancer risk maps to analyze potential predictors of postsurgical prostate cancer (PCa) progression (Biochemical Recurrence (BCR) or treatment failure). A decision tree model was generated with ROC AUC 0.85.
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