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The Application of Radiomics and AI to Molecular Imaging for Prostate Cancer.

Tapper, William, Carneiro, Gustavo, Mikropoulos, Christos, Thomas, Spencer A, Evans, Philip M, Boussios, Stergios (2024) The Application of Radiomics and AI to Molecular Imaging for Prostate Cancer. Journal of personalized medicine, 14 (3). Article Number 287. ISSN 2075-4426. (doi:10.3390/jpm14030287) (KAR id:105543)


Molecular imaging is a key tool in the diagnosis and treatment of prostate cancer (PCa). Magnetic Resonance (MR) plays a major role in this respect with nuclear medicine imaging, particularly, Prostate-Specific Membrane Antigen-based, (PSMA-based) positron emission tomography with computed tomography (PET/CT) also playing a major role of rapidly increasing importance. Another key technology finding growing application across medicine and specifically in molecular imaging is the use of machine learning (ML) and artificial intelligence (AI). Several authoritative reviews are available of the role of MR-based molecular imaging with a sparsity of reviews of the role of PET/CT. This review will focus on the use of AI for molecular imaging for PCa. It will aim to achieve two goals: firstly, to give the reader an introduction to the AI technologies available, and secondly, to provide an overview of AI applied to PET/CT in PCa. The clinical applications include diagnosis, staging, target volume definition for treatment planning, outcome prediction and outcome monitoring. ML and AL techniques discussed include radiomics, convolutional neural networks (CNN), generative adversarial networks (GAN) and training methods: supervised, unsupervised and semi-supervised learning.

Item Type: Article
DOI/Identification number: 10.3390/jpm14030287
Uncontrolled keywords: Artificial intelligence, prostate cancer, Molecular Imaging, Pet/ct, Machine Learning, Radiomics
Subjects: R Medicine
Divisions: Divisions > Division of Natural Sciences > Kent and Medway Medical School
Funders: University of Kent (
SWORD Depositor: JISC Publications Router
Depositing User: JISC Publications Router
Date Deposited: 10 Apr 2024 13:50 UTC
Last Modified: 11 Apr 2024 01:25 UTC
Resource URI: (The current URI for this page, for reference purposes)

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