The evaluation of the efficacy of different therapies is of paramount importance for the
patients and the clinicians in oncology, and it is usually possible by performing imaging …

Simple Summary This review based on a literature search aims at showing the impact of
Texture Analysis in the prediction of response to neoadjuvant radiotherapy and/or …

Texture analysis (TA) can provide quantitative features from medical imaging that can be
correlated to clinical endpoints. The challenges relevant to robustness of radiomics features …

Immune checkpoint blockade is an emerging anticancer strategy, and Nivolumab is a
human mAb to PD‑1 that is used in the treatment of a number of different malignancies …

Objective This study developed a diagnostic tool combining machine learning (ML)
segmentation and radiomic texture analysis (RTA) for bone density screening using chest …

Background To predict response to neoadjuvant chemotherapy (NAC) of gastric cancer
(GC), prior to surgery, would be pivotal to customize patient treatment. The aim of this study …

Simple Summary The present study aimed to investigate the possible use of MRI delta
texture analysis (D-TA) in order to predict the extent of pathological response in patients with …

Purpose Image texture analysis (TA) is a heterogeneity quantifying approach that cannot be
appreciated by the naked eye, and early evidence suggests that TA has great potential in …

Background and Purpose: As a feasible approach, radiotherapy has a great role in prostate
cancer (Pca) management. However, Pca patients have an increased risk of femoral head …

The purpose of this study was to investigate the robustness of different radiography radiomic
features over different radiologic parameters including kV, mAs, filtration, tube angles, and …