Breast magnetic resonance imaging (MRI) is the most sensitive imaging modality for breast
cancer diagnosis and is widely used clinically. Dynamic contrast-enhanced MRI is the basis …

Recent technological advances in the field of artificial intelligence hold promise in
addressing medical challenges in breast cancer care, such as early diagnosis, cancer …

Contrast-Enhanced Spectral Mammography (CESM) is a recently introduced
mammographic method with characteristics particularly suitable for breast cancer radiomic …

Radiomics is an emerging translational field of medicine based on the extraction of high-
dimensional data from radiological images, with the purpose to reach reliable models to be …

Objectives A critical problem in radiomic studies is the high dimensionality of the datasets,
which stems from small sample sizes and many generic features extracted from the volume …

Simple Summary Breast cancer is considered the leading cancer type and main cause of
cancer death in women. In this study, we assess simultaneous 18F-FDG PET/MRI of the …

Rationale and Objectives The purpose of this systematic review and meta-analysis was to
assess the quality and diagnostic accuracy of MRI-based radiomics for predicting Ki-67 …

Primary systemic therapy (PST) is the treatment of choice in patients with locally advanced
breast cancer and is nowadays also often used in patients with early-stage breast cancer …

Objective The objective of the study was to evaluate the accuracy of radiomics features
obtained by MR images to predict Breast Cancer Histological Outcome. Methods A total of …

Simple Summary In breast cancer, the leading cancer type and the main cause of cancer
death in women, achieving pathological complete response after neoadjuvant …