Prognostic utility of RECIP 1.0 with manual and AI-based segmentations in biochemically recurrent prostate cancer from [ 68 Ga]Ga-PSMA-11 PET images.

Jake Kendrick Roslyn Jane Francis Ghulam Mubashar Hassan Pejman Rowshanfarzad Jeremy S L OngMichael McCarthySweeka Alexander Martin Andrew Ebert

Published in: European journal of nuclear medicine and molecular imaging (2023)

RECIP 1.0 was demonstrated to be prognostic in a BCR PCa population and is robust to two different segmentation methods, including a novel AI-based method. RECIP 1.0 can be used to assess disease progression in PCa patients with less advanced disease. This study was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12615000608561) on 11 June 2015.

Keyphrases

pet ct
prostate cancer
deep learning
clinical trial
artificial intelligence
convolutional neural network
positron emission tomography
acute lymphoblastic leukemia
radical prostatectomy
pet imaging
optical coherence tomography
randomized controlled trial
machine learning
phase ii