The most efficient way to treat tumors is through surgery. However, many cancer patients
have a poor prognosis even when they undergo radical excision at an early stage …

Objective To evaluate the diagnostic performance of machine learning (ML) in predicting
lymph node metastasis (LNM) in patients with gastric cancer (GC) and to identify predictors …

Background The aim of this study is to explore the clinical feasibility of detecting folate
receptor-positive circulating tumor cells (FR+ CTCs) for predicting peritoneal metastasis and …

Purpose The purpose of this study was to explore the application of 18F-fluorodeoxyglucose
positron emission tomography/computed tomography (18F-FDG PET/CT) image radiomics …

Objectives To evaluate inter-and intra-scan mode and scanner repeatability and
reproducibility of radiomics features within and between single-energy CT (SECT) and dual …

Peritoneal carcinosis is a condition characterized by the spread of cancer cells to the
peritoneum, which is the thin membrane that lines the abdominal cavity. It is a serious …

BACKGROUND The preoperative prediction of peritoneal metastasis (PM) in gastric cancer
would prevent unnecessary surgery and promptly indicate an appropriate treatment plan …

Artificial intelligence applications in computed tomography in gastric cancer: a narrative review
- PMC Back to Top Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI …

BACKGROUND Gastric cancer is one of the leading causes of cancer burden and mortality,
often resulting in peritoneal metastasis in advanced stages with negative survival outcomes …

Objective This study aims to investigate the value of histogram analysis based on iodine-
based material decomposition (IMD) images obtained through dual-energy computed …