Breast cancer diagnosis and staging is based on mammography, ultrasound, and magnetic
resonance imaging (MRI). Contrast enhanced spectral mammography (CESM) has gained …

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 …

We performed a systematic review and a meta-analysis of studies using MRI-radiomics for
predicting the pathological complete response in breast cancer patients undergoing …

Objective We aim to demonstrate that a chest X-ray (CXR) scoring system for COVID-19
patients correlates with patient outcome and has a prognostic value. Methods This retrospective …

Purpose To develop a CT texture-based model able to predict epidermal growth factor receptor
(EGFR)-mutated, anaplastic lymphoma kinase (ALK)-rearranged lung adenocarcinomas …

Purpose Bevacizumab added to chemotherapy can improve survival in patients with metastatic
colorectal cancer, but no predictive factors of efficacy are available in clinical practice. …

BACKGROUND AND PURPOSE: The incidence of Oropharyngeal Squampus Cell Carcinoma
(OPSCC) cases is increasing especially in the Western countries due to the spreading of …

Objective: Although breast cancer screening can benefit from Artificial Intelligence (AI), it is
still unknown whether, to which extent or under which conditions, the use of AI is going to be …

Conclusions Results of this trial and those of the systematic review indicate that, compared to
conventional chemotherapy or bevacizumab, sunitinib has insufficient activity in the setting …

Purpose To assess the predictive and prognostic value of pre-treatment CT texture features
in lung adenocarcinoma treated with tyrosine kinase inhibitors (TKI). Materials and Methods …