Towards a quantitative management of metastatic prostate cancer using PSMA PET images

Research output: ThesisDoctoral Thesis

25 Downloads (Pure)

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 languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Ebert, Martin, Supervisor
  • Francis, Roslyn, Supervisor
  • Hassan, Mubashar, Supervisor
  • Rowshan Farzad, Pejman, Supervisor
Thesis sponsors
Award date19 Mar 2024
DOIs
Publication statusUnpublished - 2023

Fingerprint

Dive into the research topics of 'Towards a quantitative management of metastatic prostate cancer using PSMA PET images'. Together they form a unique fingerprint.

Cite this