The widespread implementation of low-dose computed tomography (LDCT) in lung cancer
screening has led to the increasing detection of pulmonary nodules. However, precisely …

Artificial intelligence: opportunities in lung cancer : Current Opinion in Oncology Artificial
intelligence: opportunities in lung cancer : Current Opinion in Oncology Log in or Register …

Abstract Background & Aims Physical activity, sedentary behaviour, and genetic variants
have been associated with the nonalcoholic fatty liver disease (NAFLD). However, whether …

Purpose Approximately 20% of patients with lung nodules (LNs) have multiple LNs (MLNs).
This meta-analysis was performed to assess the safety and efficacy of computed …

Background Diagnosing and treating synchronous multiple primary lung cancers (sMPLC)
are complex and challenging. This study aimed to report real‐world data on the …

Objectives To explore the feasibility of unenhanced CT images for endoleak detection of
abdominal aortic aneurysm (AAA) after endovascular repair (EVAR). Methods Patients who …

Precise forecasting of survival risk plays a pivotal role in comprehending and predicting the
prognosis of patients afflicted with esophageal squamous cell carcinoma (ESCC). The …

Purpose The aim of this study was to develop and validate a prediction model for
classification of pulmonary nodules based on preoperative CT imaging. Materials and …

Introduction Over the years, multiple models have been developed for the evaluation of
pulmonary nodules (PNs). This study aimed to comprehensively investigate clinical models …

Background Liquid biopsy is a promising non-invasive alternative for cancer screening and
minimal residual disease (MRD) detection, although there are some concerns regarding its …