Publications by authors named "Ye Xinhua"

Dynamic therapies such as photodynamic therapy (PDT) and sonodynamic therapy (SDT) have potential in cancer treatment. Microalgae have attracted increasing attention because of their high active mobility, flexibility in terms of functionality, and good biocompatibility. In this study, surface-engineered microalgae Chlorella vulgaris (Chl) modified with metal‒organic framework (MOF) nanoparticles (denoted Chl-MOF) are successfully developed for synergistic photo-sonodynamic therapy and immunotherapy.

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Objective: To analyse the relationships between the expression levels of liver X receptor (LXR), cyclooxygenase-2(COX2) and cholesterol ester transfer protein (CETP) and the severity of obstructive sleep apnoea hypopnoea syndrome (OSAHS) in obese young rats, to obtain information for basic research on OSAHS in obese children.

Methods: Twenty-four 3-4-week-old young rats were randomly assigned to the normal control group, obesity group, OSAHS group, obesity and OSAHS group. We used polysomnography to measure the obstructive apnoea hypopnoea index (OAHI) to assess the severity of OSAHS and western blotting to test the expression levels of LXRα, COX2, and CETP in the liver, heart, kidney, and brain tissues.

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Objective: To investigate the application value of multimodality ultrasound in the evaluation of lymphoma.

Methods: The regression models were performed to determine whether there were differences in differentiating lymphoma from benign lymph nodes. Receiver operator curves were drawn to evaluate the diagnostic performance of three ultrasound modalities.

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Background: Past studies have demonstrated that diabetic neuropathy is related to sarcopenia, but the further causal relation is still unclear. We sought to investigate the causal relationship by combining data from cross-sectional and Mendelian randomization (MR) studies.

Methods: The genome-wide association studies data were collected from the UK Biobank and the European Working Group on Sarcopenia to conduct a bi-directional two-sample MR study to explore the causality between diabetic neuropathy and relevant clinical traits of sarcopenia, including appendicular lean mass (ALM), walking speed and low hand grip strength.

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Objective: The aim of this study was to explore the value of ultrasound-based radiomics analysis for early recurrence after surgical resection of hepatocellular carcinoma (HCC).

Methods: This retrospective study included 127 patients who underwent primary surgical resection for HCC between October 2019 and November 2021. The patients were subsequently divided into training and validation sets (7:3 ratio).

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Article Synopsis
  • A multicenter study aimed to develop a risk stratification system (RSS) using ultrasonography (US) and clinical details to predict the malignancy of soft tissue masses (STMs).
  • The study analyzed data from over 1,000 patients, categorizing STMs into six risk categories based on clinical and US characteristics, such as age and mass size.
  • The RSS showed strong diagnostic accuracy with AUC values of 0.883 and 0.849 in different test sets, indicating it could enhance communication among healthcare providers and improve treatment decisions for STM patients.
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Objectives: To investigate risk factors for the early recurrence (ER) of hepatocellular carcinoma (HCC) after radical resection based on preoperative contrast-enhanced ultrasound (CEUS) and clinical features to provide guidance for clinical treatment.

Methods: The retrospective analysis selected 130 HCC patients who underwent radical tumor resection from October 2019 to November 2021. All patients underwent preoperative routine ultrasound examination and CEUS, and the pathology was confirmed as HCC after surgery.

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Objective: This study aims to combine ultrasound (US) elastography (USE) and radiomic to predict central cervical lymph node metastasis (CLNM) in patients with papillary thyroid microcarcinoma (PTMC).

Methods: A total of 204 patients with 204 thyroid nodules who were confirmed with PTMC and treated in our hospital were enrolled and randomly assigned to the training set (n = 142) and the validation set (n = 62). US features, USE (gender, shape, echogenic foci, thyroid imaging reporting and data system (TIRADS) category, and elasticity score), and radiomic signature were employed to build three models.

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Objective: To investigate the value of quantitative contrast-enhanced ultrasonography (CEUS) in assessing and predicting early therapy response of non-Hodgkin's lymphoma (NHL).

Methods: Fifty-six cases of NHL were studied using CEUS before and after three cycles of R-CHOP / CHOP. Quantitative parameters such as arrival time (ATM), time to peak (TTP), △T = TTP-ATM, area under the gamma curve (Area), curve gradient (Grad), wash-out time (WT), base intensity (BI), peak intensity (PI) and ΔI = PI-BI were compared between the lymphoma and normal lymph nodes before and at mid-treatment, respectively.

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Article Synopsis
  • - Disulfiram (DSF) shows potential in cancer treatment by disrupting the breakdown of proteins in cancer cells, but its effectiveness is hindered by an unstable ratio of copper (Cu) to DSF.
  • - The study proposes using PVP-coated CuO nanodots (CPNDs) to generate copper and enhance the chemotherapeutic effects of DSF in melanoma by creating a supportive environment within tumors.
  • - CPNDs help release Cu and reactive oxygen species that work together to increase the toxicity of the treatment, suggesting that this method could be a practical way to improve DSF-based chemotherapy effectiveness.
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Lung diseases are commonly diagnosed based on clinical pathological indications criteria and radiological imaging tools (e.g., X-rays and CT).

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Background: Accurate differentiation of extremity soft-tissue tumors (ESTTs) is important for treatment planning.

Purpose: To develop and validate an ultrasound (US) image-based radiomics signature to predict ESTTs malignancy.

Material And Methods: A dataset of US images from 108 ESTTs were retrospectively enrolled and divided into the training cohort (78 ESTTs) and validation cohort (30 ESTTs).

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Purpose: This study aims to investigate cardiovascular risk factors in nonobese patients with type 2 diabetes (T2DM) and non-alcoholic fatty liver disease (NAFLD) and to determine whether they might be used to predict high-risk individuals effectively.

Patients And Methods: This cross-sectional study included 245 nonobese patients with T2DM who underwent FibroTouch in the National Metabolic Management Center of the Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University from January 2021 to December 2022.

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Aims: With growing concerns over complications in diabetes sufferers, this study sought to develop an interpretable machine learning model to offer enhanced diagnostic and treatment recommendations.

Methods: We assessed coronary heart disease, diabetic nephropathy, diabetic retinopathy, and fatty liver disease using logistic regression, decision tree, random forest, and CatBoost algorithms. The SHAP algorithm was employed to elucidate the model's predictions, offering a more in-depth understanding of influential features.

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Background: To demonstrate the technical feasibility of percutaneous nephrolithotomy (PCNL) guided by 5G-powered robot-assisted teleultrasound diagnosis system (RTDS) in a complex kidney-stone (CKS) cohort and present our preliminary outcomes. PCNL is highly skill-required, which hinders it popularization in primary medical units of remote regions. We designed an innovative tele-assistance approach to make PCNL easy to be operated by inexperienced surgeons.

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Background: The overlapping nature of thyroid lesions visualized on ultrasound (US) images could result in misdiagnosis and missed diagnoses in clinical practice.

Purpose: To compare the diagnostic effectiveness of US coupled with three mathematical models, namely logistic regression (Logistics), partial least-squares discriminant analysis (PLS-DA), and support vector machine (SVM), in discriminating between malignant and benign thyroid nodules.

Material And Methods: A total of 588 thyroid nodules (287 benign and 301 malignant) were collected, among which 80% were utilized for constructing the mathematical models and the remaining 20% were used for internal validation.

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Objective: To analyze the relationship between leg skeletal muscle mass index (LSMI) and non-alcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM) and the ability of LSMI to predict NAFLD.

Methods: Two hundred patients with T2DM and NAFLD treated at Changzhou Second People's Hospital Affiliated with Nanjing Medical University and the National Metabolic Management Center from June 2022 to June 2023 were divided into four LSMI quartiles. The clinical information from the four patient groups was compared, and the relationship between type 2 diabetes and LSMI and NAFLD was examined.

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Objectives: Both contrast-enhanced ultrasound (CEUS) and contrast-enhanced magnetic resonance (CEMR) are important imaging methods for hepatocellular carcinoma (HCC). This study aimed to establish a model using preoperative CEUS parameters to predict microvascular invasion (MVI) in HCC, and compare its predictive efficiency with that of CEMR model.

Methods: A total of 93 patients with HCC (39 cases in MVI positive group and 54 cases in MVI negative group) who underwent surgery in our hospital from January 2020 to June 2021 were retrospectively analyzed.

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Sedentary lifestyle has become quite prevalent lately, and it has been associated with cardiovascular diseases (CVDs). CVD is a primary cause of premature death in patients with type 2 diabetes mellitus (T2DM). Some studies have focused on the association between sedentary behavior and blood glucose among T2DM patients.

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This study compared the diagnostic efficiency of benign and malignant breast nodules using ultrasonographic characteristics coupled with several machine-learning models, including logistic regression (Logistics), partial least squares discriminant analysis (PLS-DA), linear support vector machine (Linear SVM), linear discriminant analysis (LDA), K-nearest neighbor (KNN), artificial neural network (ANN) and random forest (RF). The clinical information and ultrasonographic characteristics of 926 female patients undergoing breast nodule surgery were collected and their relationships were analyzed using Pearson's correlation. The stepwise regression method was used for variable selection and the Monte Carlo cross-validation method was used to randomly divide these nodule cases into training and prediction sets.

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Introduction And Aims: Sarcopenia is a complication of diabetes mellitus, which can increase hospitalization and lead to poor outcomes. The present study investigated the relationship between the serum musclin concentration and the sarcopenia morbidity in Chinese middle-elderly patients with type 2 diabetes mellitus.

Methods: We recruited 220 patients with type 2 diabetes mellitus, all of whom completed gait speed, handgrip strength tests, and whole-body dual-energy x-ray measurements to calculate the appendicular skeletal muscle mass index (ASMI).

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Background: It is not well understood whether glucose control in the early stage of acute pancreatitis(AP) is related to outcome. This study aimed to investigate the association between blood glucose time in range (TIR) of 70-180 mg/dL in the first 72 h(h) on admission and the progression of AP.

Methods: Individuals admitted with AP to the Gastroenterology Department of the Affiliated Changzhou No.

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Objective: To evaluate the ability of integrated radiomics nomogram based on ultrasound images to distinguish between breast fibroadenoma (FA) and pure mucinous carcinoma (P-MC).

Methods: One hundred seventy patients with FA or P-MC (120 in the training set and 50 in the test set) with definite pathological confirmation were retrospectively enrolled. Four hundred sixty-four radiomics features were extracted from conventional ultrasound (CUS) images, and radiomics score (Radscore) was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) algorithm.

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Objective: Previous studies have demonstrated an association between gut microbiota composition and non-brittle type 2 diabetes (NBT2DM) pathogenesis. However, little is known about the correlation between the abundance of intestinal and glycemic fluctuations in patients with brittle diabetes mellitus (BDM). In this context, we conducted a case-control study of BDM patients and patients with NBT2DM, aiming to determine and analyze the relationship between the abundance of intestinal and glycemic fluctuations in patients with BDM.

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Article Synopsis
  • - This study developed a new multiparametric clinic-ultrasomics nomogram aimed at better predicting the malignancy of extremity soft-tissue tumors (ESTTs) compared to traditional clinic-radiologic approaches.
  • - The research involved analyzing a dataset of 209 ESTTs using grayscale ultrasound, color Doppler flow imaging, and elastography, leading to the formulation of two different nomograms for performance comparison.
  • - Results showed that the multiparametric nomogram outperformed the conventional one across various stages of analysis, achieving higher predictive accuracy with AUC values that indicate better effectiveness in distinguishing malignant tumors.
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