Progress and future trends in PET/CT and PET/MRI molecular imaging approaches for breast cancer

Y Ming, N Wu, T Qian, X Li, DQ Wan, C Li, Y Li… - Frontiers in …, 2020 - frontiersin.org
Breast cancer is a major disease with high morbidity and mortality in women worldwide.
Increased use of imaging biomarkers has been shown to add more information with clinical …

Clinical advances in PET–MRI for breast cancer

AM Fowler, RM Strigel - The Lancet Oncology, 2022 - thelancet.com
Imaging is paramount for the early detection and clinical staging of breast cancer, as well as
to inform management decisions and direct therapy. PET–MRI is a quantitative hybrid …

[HTML][HTML] A U-Net Ensemble for breast lesion segmentation in DCE MRI

J Vidal, JC Vilanova, R Martí - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) has been
recognized as an effective tool for Breast Cancer (BC) diagnosis. Automatic BC analysis …

AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis

V Romeo, P Clauser, S Rasul, P Kapetas… - European Journal of …, 2022 - Springer
Purpose To assess whether a radiomics and machine learning (ML) model combining
quantitative parameters and radiomics features extracted from simultaneous multiparametric …

PET/CT radiomics in breast cancer: Mind the step

M Sollini, L Cozzi, G Ninatti, L Antunovic, L Cavinato… - Methods, 2021 - Elsevier
The aim of the present review was to assess the current status of positron emission
tomography/computed tomography (PET/CT) radiomics research in breast cancer, and in …

AI‐enhanced detection of clinically relevant structural and functional anomalies in MRI: Traversing the landscape of conventional to explainable approaches

P Khosravi, S Mohammadi, F Zahiri… - Journal of Magnetic …, 2024 - Wiley Online Library
Anomaly detection in medical imaging, particularly within the realm of magnetic resonance
imaging (MRI), stands as a vital area of research with far‐reaching implications across …

A systematic review of PET textural analysis and radiomics in cancer

M Piñeiro-Fiel, A Moscoso, V Pubul, Á Ruibal… - Diagnostics, 2021 - mdpi.com
Background: Although many works have supported the utility of PET radiomics, several
authors have raised concerns over the robustness and replicability of the results. This study …

Machine learning and deep learning applications in magnetic particle imaging

S Nigam, E Gjelaj, R Wang, GW Wei… - Journal of Magnetic …, 2025 - Wiley Online Library
In recent years, magnetic particle imaging (MPI) has emerged as a promising imaging
technique depicting high sensitivity and spatial resolution. It originated in the early 2000s …

Mixed 2D and 3D convolutional network with multi-scale context for lesion segmentation in breast DCE-MRI

H Wang, J Cao, J Feng, Y **e, D Yang… - … Signal Processing and …, 2021 - Elsevier
Background Breast lesion segmentation in dynamic contrast-enhanced magnetic resonance
imaging (DCE-MRI) is an essential step for breast cancer analysis. 2D networks have the …

Diagnostic performance of PET/MRI in breast cancer: a systematic review and Bayesian bivariate meta-analysis

D Ruan, L Sun - Clinical Breast Cancer, 2023 - Elsevier
Introduction By performing a systematic review and meta-analysis, the diagnostic value of 18
F-FDG PET/MRI in breast lesions, lymph nodes, and distant metastases was assessed, and …