Radiomics in prostate cancer: An up-to-date review

M Ferro, O de Cobelli, G Musi… - Therapeutic …, 2022 - journals.sagepub.com
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

Clinical application of AI-based PET images in oncological patients

J Dai, H Wang, Y Xu, X Chen, R Tian - Seminars in Cancer Biology, 2023 - Elsevier
Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …

[HTML][HTML] Applications of artificial intelligence in PSMA PET/CT for prostate cancer imaging

SL Belal, S Frantz, D Minarik, O Enqvist… - Seminars in Nuclear …, 2024 - Elsevier
Prostate-specific membrane antigen (PSMA) positron emission tomography/computed
tomography (PET/CT) has emerged as an important imaging technique for prostate cancer …

Machine learning-based radiomics for multiple primary prostate cancer biological characteristics prediction with 18F-PSMA-1007 PET: comparison among different …

F Yao, S Bian, D Zhu, Y Yuan, K Pan, Z Pan, X Feng… - La radiologia …, 2022 - Springer
Background PET-based radiomics features could predict the biological characteristics of
primary prostate cancer (PCa). However, the optimal thresholds to predict the biological …

[HTML][HTML] Application of Artificial Intelligence in Oncologic Molecular PET-Imaging: A Narrative Review on Beyond [18F] F-FDG Tracers-Part I. PSMA, Choline, and …

SA Mirshahvalad, R Eisazadeh… - Seminars in Nuclear …, 2024 - Elsevier
Artificial intelligence (AI) has evolved significantly in the past few decades. This thriving
trend has also been seen in medicine in recent years, particularly in the field of imaging …

Piflufolastat F-18 (18F-DCFPyL) for PSMA PET imaging in prostate cancer

AF Voter, RA Werner, KJ Pienta, MA Gorin… - Expert review of …, 2022 - Taylor & Francis
Introduction Accurate imaging is essential for staging prostate cancer and guiding
management decisions. Conventional imaging modalities are hampered by a limited …

Radiomics and Artificial Intelligence in Radiotheranostics: a review of applications for Radioligands Targeting somatostatin receptors and prostate-specific membrane …

E Yazdani, P Geramifar, N Karamzade-Ziarati… - Diagnostics, 2024 - mdpi.com
Radiotheranostics refers to the pairing of radioactive imaging biomarkers with radioactive
therapeutic compounds that deliver ionizing radiation. Given the introduction of very …

Radiomics and theranostics with molecular and metabolic probes in prostate cancer: toward a personalized approach

L Filippi, L Urso, F Bianconi, B Palumbo… - Expert Review of …, 2023 - Taylor & Francis
Introduction In the last decade, two new radionuclide-based therapies, 223Radichloride and
radioligand therapy (RLT) targeting prostate-specific membrane antigen (PSMA), have been …

Evaluating a machine learning tool for the classification of pathological uptake in whole-body PSMA-PET-CT scans

A Erle, S Moazemi, S Lütje, M Essler, T Schultz… - Tomography, 2021 - mdpi.com
The importance of machine learning (ML) in the clinical environment increases constantly.
Differentiation of pathological from physiological tracer-uptake in positron emission …

Predictive and prognostic potential of pretreatment 68Ga-PSMA PET tumor heterogeneity index in patients with metastatic castration-resistant prostate cancer treated …

M Assadi, R Manafi-Farid, E Jafari, A Keshavarz… - Frontiers in …, 2022 - frontiersin.org
Introduction This study was conducted to evaluate the predictive values of volumetric
parameters and radiomic features (RFs) extracted from pretreatment 68Ga-PSMA PET and …