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

ABSTRACT:

Purpose

This study aimed to (i) validate the Response Evaluation Criteria in PSMA (RECIP 1.0) criteria in a cohort of biochemically recurrent (BCR) prostate cancer (PCa) patients and (ii) determine if this classification could be performed fully automatically using a trained artificial intelligence (AI) model.

Methods

One hundred ninety-nine patients were imaged with [⁶⁸Ga]Ga-PSMA-11 PET/CT once at the time of biochemical recurrence and then a second time a median of 6.0 months later to assess disease progression. Standard-of-care treatments were administered to patients in the interim. Whole-body tumour volume was quantified semi-automatically (TTV_man) in all patients and using a novel AI method (TTV_AI) in a subset (n = 74, the remainder wer

SUBMITTER: Kendrick J 

PROVIDER: S-EPMC10611879 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature