Simple Summary Oesogastric cancers are often diagnosed at a locally advanced stage,
especially in western countries. Thus, their prognosis is highly influenced by correct staging …

Objectives To determine whether contrast-enhanced CT radiomics features can
preoperatively predict lymphovascular invasion (LVI) and perineural invasion (PNI) in gastric …

AIM To develop a nomogram to predict lymphovascular invasion (LVI) in gastric cancer by
integrating multiphase computed tomography (CT) radiomics and clinical risk factors …

Objectives In this study, we constructed and validated models based on deep learning and
radiomics to facilitate preoperative diagnosis of cervical lymph node metastasis (LNM) using …

Objective The study established a nomogram based on quantitative parameters of spectral
computed tomography (CT) and clinical characteristics, aiming to evaluate its predictive …

Objective To evaluate the value of a machine learning model using enhanced CT radiomics
features in the prediction of lymphovascular invasion (LVI) of esophageal squamous cell …

胃癌是我国常见的恶性肿瘤, 其发病率和死亡率在所有恶性肿瘤中均位居第三. 近年来,
随着人工智能的兴起, 影像组学这一定量化图像分析工具蓬勃发展. 目前影像组学已应用于胃癌 …

Artificial intelligence (AI) operates by using algorithms and statistical models based on data,
enabling computers to imitate a real form of intelligence. The structure of the data available …

目的探讨基于CT 特征模型诊断胃癌脉管浸润(LVI) 的价值. 方法收集284 胃癌患者资料(男191
例, 女93 例, 年龄28-89 岁) 并将其分为LVI 阳性组(112 例) 和阴性组(172 例). 收集CT …

Purpose: To investigate the value of spectral computed tomography (CT) in evaluating the
differentiation degree of gastric cancer and predicting lymph node (LN) metastasis. Methods …