Abstract
In this thesis, several important steps were made in laying the foundation for a more quantitative analysis of PSMA PET images in the management of prostate cancer. Imaging biomarkers derived from AI-based segmentations were found to be prognostic for patient overall survival, repeatability limits were comprehensively established for a suite of radio mics features, and the prognostic utility of multiple patient-level response frameworks, including the Response Evaluation Criteria in PSMAPET/CT (RECIP 1.0) and the radiographic PSMA PET Progression criteria (rPPP), were validated in a cohort of biochemically recurrent prostate cancer patients.
Original language | English |
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Qualification | Doctor of Philosophy |
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Award date | 19 Mar 2024 |
DOIs | |
Publication status | Unpublished - 2023 |