Optimization and validation of 18F-DCFPyL PET radiomics-based machine learning models in intermediate- to high-risk primary prostate cancer.
Wietske I LuiningDaniela E Oprea-LagerAndré N VisReindert J A van MoorselaarRemco J J KnolMaurits WondergemRonald BoellaardMatthijs C F CysouwPublished in: PloS one (2023)
In internal and external validation, 18F-DCFPyL-PET radiomics-based ML models predicted high postoperative GS but not LNI or ECE in intermediate- to high-risk PCa. Therefore, the clinical benefit seems to be limited. These results underline the need for external and/or multicenter validation of PET radiomics-based ML model analyses to assess their generalizability.