laparoscopic-duodenum-preserving-pancreatic-head-and-neck-resection

Laparoscopic Duodenum-Preserving Pancreatic Head and Neck Resection

The selection of surgical approaches for benign and low-grade malignant tumors of the pancreatic head and neck, such as serous cystadenomas, ...

The Third Affiliated Hospital of Southern Medical University

As the most dominant HIV-1 strain in China, CRF01_AE needs to have its evolutionary and demographic history documented. In this study, we provide phylogenetic analysis of all CRF01_AE pol sequences identified in mainland China. CRF01_AE sequences were collected from the Los Alamos HIV Sequence Database and the local Chinese provincial centers of disease control and prevention. Phylogenetic trees were constructed to identify major epidemic clusters. Bayesian coalescent-based method was used to reconstruct the time scale and demographic history. There were 2965 CRF01_AE sequences from 24 Chinese provinces that were collected, and 5 major epidemic clusters containing 85% of the total CRF01_AE sequences were identified. Every cluster contains sequences from more than 10 provinces with 1 or 2 dominant transmission routes. One cluster arose in the 1990s and 4 clusters arose in the 2000s. Cluster I is in the decline stage, while the other clusters are in the stable stage. Obvious lineage can be observed among sequences from the same transmission route but not the same area. Two large clusters in high-level prevalence were found in MSM (Men who have sex with men), which highlighted that more emphasis should be placed on MSM for HIV control in mainland China.

Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China.

One subtype of hepatocellular carcinoma (HCC), with cytokeratin 19 expression (CK19+), has shown to be more aggressive and has a poor prognosis. However, CK19+ is determined by immunohistochemical examination using a surgically resected specimen. This study is aimed at establishing a radiomics signature based on preoperative gadoxetic acid-enhanced MRI for predicting CK19 status in HCC. . Clinicopathological and imaging data were retrospectively collected from patients who underwent hepatectomy between February 2015 and December 2020. Patients who underwent gadoxetic acid-enhanced MRI and had CK19 results of histopathological examination were included. Radiomics features of the manually segmented lesion during the arterial, portal venous, and hepatobiliary phases were extracted. The 10 most reproducible and robust features at each phase were selected for construction of radiomics signatures, and their performance was evaluated by analyzing the area under the curve (AUC). The goodness of fit of the model was assessed by the Hosmer-Lemeshow test.

Gadoxetic Acid-Enhanced MRI-Based Radiomics Signature: A Potential Imaging Biomarker for Identifying Cytokeratin 19-Positive Hepatocellular Carcinoma.

Around 80% of pancreatic ductal adenocarcinoma (PDAC) patients experience recurrence after curative resection. We aimed to develop a deep-learning model based on preoperative CT images to predict early recurrence (recurrence within 12 months) in PDAC patients. The retrospective study included 435 patients with PDAC from two independent centers. A modified 3D-ResNet18 network was used for a deep learning model construction. A nomogram was constructed by incorporating deep learning model outputs and independent preoperative radiological predictors. The deep learning model provided the area under the receiver operating curve (AUC) values of 0.836, 0.736, and 0.720 in the development, internal, and external validation datasets for early recurrence prediction, respectively. Multivariate logistic analysis revealed that higher deep learning model outputs (odds ratio [OR]: 1.675; 95% CI: 1.467, 1.950;  < 0.001), cN1/2 stage (OR: 1.964; 95% CI: 1.036, 3.774;  = 0.040), and arterial involvement (OR: 2.207; 95% CI: 1.043, 4.873;  = 0.043) were independent risk factors associated with early recurrence and were used to build an integrated nomogram. The nomogram yielded AUC values of 0.855, 0.752, and 0.741 in the development, internal, and external validation datasets. In conclusion, the proposed nomogram may help predict early recurrence in PDAC patients.

Development and Validation of a Nomogram for Preoperative Prediction of Early Recurrence after Upfront Surgery in Pancreatic Ductal Adenocarcinoma by Integrating Deep Learning and Radiological Variables.

Coronary artery ectasia (CAE) is a condition characterized by the localized or widespread dilation of one or more coronary arteries. The majority of CAE patients do not present with clinical symptoms, and the exact cause of CAE remains unclear. Therefore, a retrospective analysis was conducted to explore the potential causes of CAE.

Association of remnant cholesterol with coronary artery ectasia: a cross-sectional study.

Cholangiocarcinoma (CCA) is an aggressive malignancy with limited treatment options and poor prognosis. Platelet-Derived Growth Factor CC (PDGF-CC) has been implicated in the progression of various tumors, but its specific role in CCA is not well understood. This study aims to investigate the expression and function of PDGF-CC in CCA and evaluate its potential as a therapeutic target.

Targeting PDGF-CC as a promising therapeutic strategy to inhibit cholangiocarcinoma progression.

The article by Wang et al. titled "Exploring the mortality and cardiovascular outcomes with SGLT-2 inhibitors in patients with T2DM at dialysis commencement: a health global federated network analysis" demonstrated that new SGLT-2i use in T2DM patients at the onset of dialysis was associated with a reduced long-term risk of all-cause mortality and MACE over a median follow-up duration of 2.0 years. However, the hemodialysis dose and frequency, which are significant confounding factors, were not included in the study's subgroup analysis. We raise concerns about this limitation, which may affect the study's findings.

Hemodialysis dose and frequency should be considered in subgroup analysis.

To establish a three-dimensional (3D) visualization-based classification of the left hepatic portal vein (LHPV) and left hepatic vein (LHV) systems using 3D reconstruction technology to facilitate precise segmental/subsegmental resection of left liver lesions.

[3D visualization-based classification of left intrahepatic vessels and its application in precision hepatectomy].

Adult isolated coronary artery ectasia (ICAE) is a rare disease characterized by dilation of coronary arteries in the absence of significant stenosis. Its long-term prognosis and optimal management remain unclear. This study aimed to investigate the clinical and long-term outcomes of adult ICAE compared to controls with normal coronary arteries.

Article	Year
Phylodynamics of major CRF01_AE epidemic clusters circulating in mainland of China. Scientific reports\| PubMed ID: 28740095	2017
Gadoxetic Acid-Enhanced MRI-Based Radiomics Signature: A Potential Imaging Biomarker for Identifying Cytokeratin 19-Positive Hepatocellular Carcinoma. Computational and mathematical methods in medicine\| PubMed ID: 36814805	2023
Development and Validation of a Nomogram for Preoperative Prediction of Early Recurrence after Upfront Surgery in Pancreatic Ductal Adenocarcinoma by Integrating Deep Learning and Radiologic... Cancers\| PubMed ID: 37509206	2023
Association of remnant cholesterol with coronary artery ectasia: a cross-sectional study. Lipids in health and disease\| PubMed ID: 39107777	2024
Targeting PDGF-CC as a promising therapeutic strategy to inhibit cholangiocarcinoma progression. Journal of translational medicine\| PubMed ID: 39543636	2024
Hemodialysis dose and frequency should be considered in subgroup analysis. Cardiovascular diabetology\| PubMed ID: 39563369	2024
[3D visualization-based classification of left intrahepatic vessels and its application in precision hepatectomy]. Nan fang yi ke da xue xue bao = Journal of Southern Medical University\| PubMed ID: 40415437	2025
Adult isolated coronary artery ectasia: clinical features and long-term outcomes. Frontiers in cardiovascular medicine\| PubMed ID: 41835467	2026

Xiang He

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