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Abstract Background To compare the performance between one-slice two-dimensional (2D) and whole-volume three-dimensional (3D) computed tomography (CT)-based radiomics models in the prediction of lymphovascular invasion (LVI) status in esophageal squamous cell carcinoma (ESCC). Methods Two hundred twenty-four patients with ESCC (158 LVI-absent and 66 LVI-present) were enrolled in this retrospective study. The enrolled patients were randomly split into the training and testing sets with a 7:3 ratio. The 2D and 3D radiomics features were derived from the primary tumors’ 2D and 3D regions of interest (ROIs) using 1.0 mm thickness contrast-enhanced CT (CECT) images. The 2D and 3D radiomics features were screened using inter-/intra-class correlation coefficient (ICC) analysis, Wilcoxon rank-sum test, Spearman correlation test, and the least absolute shrinkage and selection operator, and the radiomics models were built by multivariate logistic stepwise regression. The performance of 2D and 3D radiomics models was assessed by the area under the receiver operating characteristic (ROC) curve. The actual clinical utility of the 2D and 3D radiomics models was evaluated by decision curve analysis (DCA). Results There were 753 radiomics features from 2D ROIs and 1130 radiomics features from 3D ROIs, and finally, 7 features were retained to construct 2D and 3D radiomics models, respectively. ROC analysis revealed that in both the training and testing sets, the 3D radiomics model exhibited higher AUC values than the 2D radiomics model (0.930 versus 0.852 and 0.897 versus 0.851, respectively). The 3D radiomics model showed higher accuracy than the 2D radiomics model in the training and testing sets (0.899 versus 0.728 and 0.788 versus 0.758, respectively). In addition, the 3D radiomics model has higher specificity and positive predictive value, while the 2D radiomics model has higher sensitivity and negative predictive value. The DCA indicated that the 3D radiomics model provided higher actual clinical utility regarding overall net benefit than the 2D radiomics model. Conclusions Both 2D and 3D radiomics features can be employed as potential biomarkers to predict the LVI in ESCC. The performance of the 3D radiomics model is better than that of the 2D radiomics model for the prediction of the LVI in ESCC.

Objective: To investigate the effectiveness of the original oblique conformal anastomosis presented in this research in reducing the incidence of cervical anastomotic leak after performing totally minimally invasive esophagectomy (TMIE). Methods: The esophagus and stomach of 27 fresh pigs, termed the esophagogastric model, were used to simulate human esophagogastric organs for this study's in vitro experimental objectives. Nine esophagogastric models of similar weight were divided into three groups. Esophagogastrostomy with circular-stapled end-to-side anastomosis was performed. A tension gauge was used to pull the anastomosis, and the tension at which anastomotic leakage occurred was recorded. Furthermore, a retrospective assessment of 539 patients who underwent TMIE was conducted to analyze the influencing factors of cervical anastomotic leakage. Results: Experiments on the esophagogastric models showed a higher fracture strength of oblique conformal anastomosis than that of conventional anastomosis (F2,18 = 40.86, P

Abstract Background Analyze the pattern of lymph node metastasis in Siewert II adenocarcinoma of the esophagogastric junction (AEG) and provide a basis for the principles of surgical access. Methods The clinical data of 112 Siewert type II AEG patients admitted to the Fifth Department of Thoracic Surgery, the Fourth Hospital of Hebei Medical University from 2020 to 2022 were retrospectively collected. The probability of lymph node metastasis in each site and the clearance rate of lymph nodes in each site by different surgical approaches were analyzed. Results The lymph node metastasis rates in the middle and upper mediastinum group, the lower mediastinum group, the upper perigastric + supra pancreatic group, and the lower perigastric + hepatoduodenal group were 0.0%, 5.4%, 61.6%, and 17.1%, (P

The excessive use of antibiotics in clinical settings has resulted in the rapid expansion, evolution, and development of bacterial and microorganism resistance. It causes a significant challenge to the medical community. Therefore, it is important to develop new antibacterial materials that could replace traditional antibiotics. With the advancements in nanotechnology, it has become evident that metallic and metal oxide nanoparticles (MeO NPs) exhibit stronger antibacterial properties than their bulk and micron-sized counterparts. The antibacterial properties of silver nanoparticles (Ag NPs) and copper nanoparticles (Cu NPs) have been extensively studied, including the release of metal ions, oxidative stress responses, damages to cell integrity, and immunostimulatory effects. However, it is crucial to consider the potential cytotoxicity and genotoxicity of Ag NPs and Cu NPs. Numerous experimental studies have demonstrated that bimetallic nanoparticles (BNPs) composed of Ag NPs and Cu NPs exhibit strong antibacterial effects while maintaining low cytotoxicity. Bimetallic nanoparticles offer an effective means to mitigate the genotoxicity associated with individual nanoparticles while considerably enhancing their antibacterial efficacy. In this paper, we presented on various synthesis methods for Ag-Cu NPs, emphasizing their synergistic effects, processes of reactive oxygen species (ROS) generation, photocatalytic properties, antibacterial mechanisms, and the factors influencing their performance. These materials have the potential to enhance efficacy, reduce toxicity, and find broader applications in combating antibiotic resistance while promoting public health.

Objectives Multiple lung cancers may present as multiple primary lung cancers (MPLC) or intrapulmonary metastasis (IPM) with variations in clinical stage, treatment, and prognosis. However, the existing differentiation criteria based on histology do not fully meet the clinical needs. Next-generation sequencing (NGS) may play an important role in assisting the identification of different pathologies. Here, we extended the relevant data by combining histology and NGS to develop detailed identification criteria for MPLC and IPM. Materials and Methods Patients with lung cancer (each patient had ≥2 tumors) were enrolled in the training (n = 22) and validation (n = 13) cohorts. Genomic profiles obtained from 450-gene-targeted NGS were analyzed, and the new criteria were developed based on our findings and pre-existing Martini & Melamed criteria and molecular benchmarks. Results The analysis of the training cohort indicated that patients identified with MPLC had no (or

This article, published in the journal Biocell, presents a systematic analysis of DNA polymerases as therapeutic targets in various types of cancer. The study examines the expression profiles of 15 DNA polymerases and their clinical correlations using data from The Cancer Genome Atlas (TCGA). The analysis reveals that DNA polymerases exhibit distinct expression patterns in tumor and normal samples across most cancer types. The study also highlights the prognostic value of DNA polymerases in multiple cancers and explores their associations with immune cells, DNA damage repair pathways, and ubiquitination. The findings suggest that DNA polymerases could serve as potential therapeutic targets and prognostic biomarkers for cancer. [Extracted from the article]