Beyond their many well-established biological aberrations, solid tumours create an
abnormal physical microenvironment that fuels cancer progression and confers treatment …

Objectives In this proof of concept study, a deep learning–based method for automatic
analysis of digital mammograms (DM) as a tool to aid in assessment of neoadjuvant …

Simple Summary Breast cancer is considered as the most common malignancy among
females, and its treatment takes many forms and types. Neoadjuvant chemotherapy (NACT) …

In the pursuit of advancing cancer therapy, this study explores the predictive power of
machine learning in analyzing tumor characteristics, specifically focusing on the effects of …

Background Not only should resistance to neoadjuvant chemotherapy (NAC) be considered
in patients with breast cancer but also the possibility of achieving a pathologic complete …

Background Breast cancer is a heterogeneous disease with different morphological and
biological characteristics. The molecular subtypes of breast cancer are closely related to the …

Harmonic motion imaging (HMI) is an ultrasound elastography technique that estimates the
viscoelastic properties of tissues by inducing localized oscillatory motion using focused …

Background In the era of personalized cancer treatment, understanding the intrinsic
heterogeneity of tumors is crucial. Despite some patients responding favorably to a …

Background Neoadjuvant therapy (NAT) is the preferred treatment for advanced breast
cancer nowadays. The early prediction of its responses is important for personalized …

Purpose To evaluate the potential of the texture features extracted from dynamic contrast-
enhanced magnetic resonance imaging (DCE-MRI) intratumoral subregions to distinguish …