Malignant pleural mesothelioma (MPM) is a rare malignancy with few treatment options.
Recent advances have led to US Food and Drug Administration approvals and changes in …

Radiomics is a technique that extracts quantitative features from medical images using data‐
characterization algorithms. Radiomic features can be used to identify tissue characteristics …

Mesothelioma is a rare neoplasm that arises from mesothelial cells lining body cavities
including the pleura, pericardium, peritoneum, and tunica vaginalis. Most malignant …

Objectives: In this study, we aimed to assess the impact of different CT reconstruction
kernels on the stability of radiomic features and the transferability between different diseases …

Malignant pleural mesothelioma (MPM) is an aggressive primary malignancy of the pleura
that presents unique radiologic challenges with regard to accurate and reproducible …

Objectives We aimed to explore the feasibility of 2D and 3D radiomics signature based on
the unenhanced computed tomography (CT) images to predict BRCA1-associated protein 1 …

Malignant pleural mesothelioma (MPM) is a rare, aggressive, and devastating disease of the
thoracic cavity associated with asbestos exposure. In recent years, MPM incidence has been …

The purpose of this study was to evaluate the impact of probability map threshold on pleural
mesothelioma (PM) tumor delineations generated using a convolutional neural network …

Malignant mesothelioma is the result of neoplastic transformation of the mesothelial cells,
with more than 80% arising from the pleura. The global incidence of mesothelioma …

Pleural mesothelioma (PM) is an aggressive disease that has a strong causal relationship
with asbestos exposure and represents a major challenge from both a diagnostic and …