The successful use of artificial intelligence (AI) for diagnostic purposes has prompted the
application of AI-based cancer imaging analysis to address other, more complex, clinical …

Small cell lung cancer (SCLC) is a highly aggressive malignancy with exceptionally poor
prognosis, comprising approximately 15% of lung cancers. Emerging knowledge of the …

Background Clinically differentiating preinvasive lesions (atypical adenomatous
hyperplasia, AAH and adenocarcinoma in situ, AIS) from invasive lesions (minimally …

Radiomics has become a research field that involves the process of converting standard
nursing images into quantitative image data, which can be combined with other data …

Introduction Artificial intelligence (AI) has the potential to transform oncologic care. There
have been significant developments in AI applications in medical imaging and increasing …

Current methods of digital pathological images typically employ small image patches to
learn local representative features to overcome the issues of computationally heavy and …

Objectives This study examines clustering based on shape radiomic features and tumor
volume to identify IDH-wildtype glioma phenotypes and assess their impact on overall …

Background Small cell lung cancer (SCLC) is characterized by a high risk of brain
metastasis and poor survival. This study aims to assess the prognostic role of lactate …

Background Several studies have reported the potential prognostic significance of tumor
volume reduction ratio (VRR) induced by radiotherapy (RT) in patients with non-small-cell …

Objective. To investigate the relationship between the detection of changes in the levels of
carcinoembryonic antigen (CEA) and progastrin‐releasing peptide (ProGRP) in …