Objectives Ki-67 is a key molecular marker to indicate the proliferative activity of tumor cells
in lung cancer. However, Ki-67 expression and its prognostic significance in histological …

Objective To investigate the relationship between 18 F-FDG PET/CT semi-quantitative
parameters and the International Association for the Study of Lung Cancer, American …

Background Tumor invasiveness plays a key role in determining surgical strategy and
patient prognosis in clinical practice. The study aimed to explore artificial-intelligence-based …

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer and one of the
main causes of cancer-related deaths. In the past decade, with the widespread use of …

We aimed to investigate the value of computed tomography (CT)-based radiomics with
artificial intelligence (AI) in predicting pathological lymph node metastasis (pN) in patients …

In the modern era, thoracic surgeons are experiencing an increase interest in imaging
patterns of early stage lung cancer due to the introduction of the ground glass opacity in …

Purpose To construct a nomogram based on subjective CT signs and artificial intelligence
(AI) histogram parameters to identify invasiveness of lung adenocarcinoma presenting as …

AIM To develop and validate a diagnostic model utilising machine-learning algorithms that
differentiates lepidic predominant adenocarcinoma (LPA) from other pathological subtypes …

Long non-coding RNAs (lncRNAs) play crucial roles in the tumorigenesis and progression of
lung adenocarcinoma (LUAD). However, little was known about the role of lncRNAs in high …

Background Preoperative identification of rectal cancer lymph node status is crucial for
patient prognosis and treatment decisions. Rectal magnetic resonance imaging (MRI) plays …