Exploring the Influencing Factors of Experienced Nurses' Retention Behaviour: A Qualitative Study Based on the COM-B Model.

Aim: The aim of this study was to explore the factors influencing the retention behaviour of experienced nurses in China, using the capability, opportunity, motivation and behaviour (COM-B) model as a conceptual framework.

Design: A qualitative descriptive study based on the COM-B model.

Methods: In this qualitative descriptive study, semi-structured interviews were conducted with 22 nurses across 11 cities in the Guangdong-Hong Kong-Macao Great Bay Area of China between March and May 2024.

The Evaluation of Gastric Cancer Lymphovascular Invasion Using CT Volume Perfusion.

Background: The best treatment option for patients with resectable gastric cancer is radical gastric cancer surgery. However, the postoperative overall survival rate is low. Lymphovascular invasion (LVI) is a risk factor for cancer recurrence and a stand-alone predictor of a poor post-operative prognosis for gastric cancer (GC) patients.

New nurses' practice environment, job stress, and patient safety attitudes: a cross-sectional study based on the job demands-resources model.

Background: Patient safety is paramount for all healthcare agencies. Health professionals' lack of patient safety competencies threaten patients' lives, and increase patients, families, hospitals, and social burdens. The new nurse-related patient safety issues have particularly attracted much attention.

Robustly federated learning model for identifying high-risk patients with postoperative gastric cancer recurrence.

The prediction of patient disease risk via computed tomography (CT) images and artificial intelligence techniques shows great potential. However, training a robust artificial intelligence model typically requires large-scale data support. In practice, the collection of medical data faces obstacles related to privacy protection.

Development of a CT image analysis-based scoring system to differentiate gastric schwannomas from gastrointestinal stromal tumors.

Purpose: To develop a point-based scoring system (PSS) based on contrast-enhanced computed tomography (CT) qualitative and quantitative features to differentiate gastric schwannomas (GSs) from gastrointestinal stromal tumors (GISTs).

Methods: This retrospective study included 51 consecutive GS patients and 147 GIST patients. Clinical and CT features of the tumors were collected and compared.

Clinical and imaging characteristics of pulmonary cryptococcosis: a comparative analysis of 118 non-AIDS patients in China.

The accurate diagnosis of pulmonary cryptococcosis (PC) is an important guarantee for the selection of reasonable treatment methods. In this paper, the clinical and imaging manifestations of PC in non-AIDS patients were retrospectively analyzed, and according to whether there was an underlying disease, a comparative analysis was carried out to deepen the understanding of PC, and improve the accuracy of its diagnosis. Both clinical and CT imaging data of 118 PC patients were analyzed retrospectively.

A Transfer Learning Radiomics Nomogram for Preoperative Prediction of Borrmann Type IV Gastric Cancer From Primary Gastric Lymphoma.

Objective: This study aims to differentiate preoperative Borrmann type IV gastric cancer (GC) from primary gastric lymphoma (PGL) by transfer learning radiomics nomogram (TLRN) with whole slide images of GC as source domain data.

Materials And Methods: This study retrospectively enrolled 438 patients with histopathologic diagnoses of Borrmann type IV GC and PGL. They received CT examinations from three hospitals.

Computed Tomography-Based Radiomics Nomogram: Potential to Predict Local Recurrence of Gastric Cancer After Radical Resection.

Objective: Accurate prediction of postoperative recurrence risk of gastric cancer (GC) is critical for individualized precision therapy. We aimed to investigate whether a computed tomography (CT)-based radiomics nomogram can be used as a tool for predicting the local recurrence (LR) of GC after radical resection.

Materials And Methods: 342 patients (194 in the training cohort, 78 in the internal validation cohort, and 70 in the external validation cohort) with pathologically proven GC from two centers were included.

A Heterogeneity Radiomic Nomogram for Preoperative Differentiation of Primary Gastric Lymphoma From Borrmann Type IV Gastric Cancer.

Objective: This study aimed to preoperatively differentiate primary gastric lymphoma from Borrmann type IV gastric cancer by heterogeneity nomogram based on routine contrast-enhanced computed tomographic images.

Methods: We enrolled 189 patients from 2 hospitals (90 in the training cohort and 99 in the validation cohort). Subjective findings, including high-enhanced mucosal sign, high-enhanced serosa sign, nodular or an irregular outer layer of the gastric wall, and perigastric fat infiltration, were assessed to construct a subjective finding model.

Development and validation of a predictor of insufficient enhancement during the hepatobiliary phase of Gd-EOB-DTPA-enhanced magnetic resonance imaging.

Background Insufficient enhancement of liver parenchyma negatively affects diagnostic accuracy of Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI). Currently, there is no reliable method for predicting insufficient enhancement during the hepatobiliary phase (HBP) in Gd-EOB-DTPA-enhanced MRI. Purpose To develop a predictor for insufficient enhancement of liver parenchyma during HBP in Gd-EOB-DTPA-enhanced MRI.