The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and
spurred further research into tumor biology. Yet, cancer patients respond variably to …

Background Radiomics can provide in-depth characterization of cancers for treatment
outcome prediction. Conventional radiomics rely on extraction of image features within a pre …

Simple Summary Patients that suffer from advanced head and neck cancer have a low
average survival chance. Improving prognosis could improve this survival rate as it may help …

This study developed a pretreatment CT-based radiomic model of lymph node response to
induction chemotherapy in locally advanced head and neck squamous cell carcinoma …

Aim To develop and validate a non-invasive computed tomography (CT)-based radiomics
model for predicting vasculogenic mimicry (VM) status in lung adenocarcinoma (LA) …

Lung cancer is one of the deadliest diseases worldwide. Computed Tomography (CT)
images are a powerful tool for investigating the structure and texture of lung nodules. For a …

Simple Summary Indeterminate pulmonary nodules detected by computer tomography are a
common clinical finding, but the path to determine malignancy can cause harm to patients …

Objectives This study aims to use ultrasound derived features as biomarkers to assess the
malignancy of thyroid nodules in patients who were candidates for FNA according to the …

Objectives To externally validate a pre-treatment MR-based radiomics model predictive of
locoregional control in oropharyngeal squamous cell carcinoma (OPSCC) and to assess the …

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