Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer

Kevin Ma; Stephanie A Harmon; Ivan S Klyuzhin; Arman Rahmim; Baris Turkbey

doi:10.1016/j.cpet.2021.09.002

Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer

PET Clin. 2022 Jan;17(1):137-143. doi: 10.1016/j.cpet.2021.09.002.

Authors

Kevin Ma¹, Stephanie A Harmon¹, Ivan S Klyuzhin², Arman Rahmim³, Baris Turkbey⁴

Affiliations

¹ Artificial Intelligence Resource, Molecular Imaging Branch, NCI, NIH, Bethesda, MD, USA.
² Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada.
³ Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada; Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada; Department of Physics, University of British Columbia, Vancouver, British Columbia, Canada.
⁴ Artificial Intelligence Resource, Molecular Imaging Branch, NCI, NIH, Bethesda, MD, USA. Electronic address: [email protected].

PMID: 34809863
DOI: 10.1016/j.cpet.2021.09.002

Abstract

PET imaging with targeted novel tracers has been commonly used in the clinical management of prostate cancer. The use of artificial intelligence (AI) in PET imaging is a relatively new approach and in this review article, we will review the current trends and categorize the currently available research into the quantification of tumor burden within the organ, evaluation of metastatic disease, and translational/supplemental research which aims to improve other AI research efforts.

Keywords: Artificial intelligence; PET; Prostate cancer.

Published by Elsevier Inc.

Publication types

Review

MeSH terms

Artificial Intelligence*
Humans
Male
Positron-Emission Tomography
Prostatic Neoplasms* / diagnostic imaging