Publications by authors named "Lianzhong Zhang"

Objective: To investigate the ability of ultrasomics to noninvasively predict epidermal growth factor receptor (EGFR) expression status in patients with hepatocellular carcinoma (HCC).

Methods: 198 HCC patients were comprised in the study ( = 138 in the training dataset and  = 60 in the test dataset). EGFR expression was detected by immunohistochemistry.

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Article Synopsis
  • The study aims to develop and validate machine learning techniques to predict how patients with advanced hepatocellular carcinoma respond to a treatment combining a tyrosine kinase inhibitor and an anti-PD-1 antibody.
  • Researchers analyzed clinical data and ultrasound images from 134 patients to extract relevant features that indicate tumor characteristics and microenvironment changes.
  • Three predictive models were built using the extreme gradient boosting algorithm, and their effectiveness was measured using various performance metrics to enhance treatment decision-making for patients.
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  • Inadequate postoperative pain management can lead to complications, longer hospital stays, and increased healthcare costs for patients after major surgery.
  • The study analyzed 2,180 patients who underwent hepatobiliary pancreatic surgery to identify risk factors for experiencing moderate-to-severe pain within the first 48 hours post-surgery.
  • Significant predictors of postoperative pain included younger age, lower BMI, the type of surgical approach (open vs. laparoscopic), and the use of specific analgesics like sufentanil.
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Myocardial infarction (MI) leads to substantial cellular necrosis as a consequence of reduced blood flow and oxygen deprivation. Stimulating cardiomyocyte proliferation and angiogenesis can promote functional recovery after cardiac events. In this study, we explored a novel therapeutic strategy for MI by synthesizing a biomimetic nanovesicle (NV).

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Insufficient antigen self-presentation of tumor cells and ineffective antigen cross-presentation by dendritic cells (DCs) contribute to diminished immune recognition and activation, which cause resistance to immunotherapies. Herein, we present an ultrasound-activatable vaccine by utilizing a hybrid nanovesicle composed of a thylakoid (TK)/platelet (PLT) membrane and a liposome encapsulating DNA methyltransferase inhibitor zebularine (Zeb) and sonosensitizer hematoporphyrin monomethyl ether (HMME). Upon local exposure to ultrasound, reactive oxygen species (ROS) are generated and induce the sequential release of the payloads.

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Background And Objective: The measurement of portal venous pressure (PVP) has been extensively studied, primarily through indirect methods. However, the potential of ultrasound-guided percutaneous transhepatic PVP measurement as a direct method has been largely unexplored. This study aimed to investigate the accuracy, safety, and feasibility of this approach.

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Purpose: To evaluate the feasibility and safety of percutaneous puncture guided by a 5th generation mobile communication technology (5G)-based telerobotic ultrasound system in phantom and animal experiments.

Materials And Methods: In the phantom experiment, 10 simulated lesions were punctured, once at each of two angles for each lesion, under the guidance of a telerobotic ultrasound system and ultrasound-guided freehand puncture. Student's t test was used to compare the two methods in terms of puncture accuracy, total operation duration, and puncture duration.

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There is an urgent need to realize precise clinical ultrasound with ultrasound contrast agents that provide high echo intensity and mechanical index tolerance. Graphene derivatives possess exceptional characteristics, exhibiting great potential in fabricating ideal ultrasound contrast agents. Herein, we reported a facile and green approach to synthesizing reduced graphene oxide with ellagic acid (rGO-EA).

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Competitive consumption of nutrients between rapidly proliferating cancer cells and T cells results in an immunosuppressive tumor microenvironment (TME) and nutrient deprivation of T cells, which can cause low response rate and resistance to immunotherapies. In this study, we proposed a dual-mechanism based nutrient partitioning nanoregulator (designated as DMNPN), which can simultaneously regulate the immunosuppressive TME and enhance T cell nutrient availability. DMNPN consists of a charge-reversal biodegradable mesoporous silica, encapsulating glycolysis inhibitor lonidamine, and small interfering RNA against glutaminase.

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Background: Ultrasound-responsive nanodroplets (NDs) targeting tumors have shown great potential in ultrasound imaging and tumor therapy, but most of these studies are based NDs with lipid shells that cannot overcome the uptake by cells of the reticulo-endothelial system (RES). NDs with shells comprised of polyethylene glycol (PEG)-based polymers could effectively suppressed the uptake of RES, but the phase transition, contrast-enhanced imaging and drug release about these NDs have not been well illuminated.

Methods: Folate receptor targeted NDs with shells of polymers and loaded with DOX (FA-NDs/DOX) were prepared.

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Immunotherapies comprising programmed cell death protein 1/PD ligand 1 (PD-1/PD-L1) immune checkpoint inhibitors are effective cancer treatments. However, the low response rate and immunoresistance resulting from alternative immune checkpoint upregulation and inefficient immune stimulation by T cells are problematic. The present report describes a biomimetic nanoplatform that simultaneously blocks the alternative T-cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain (TIGIT) checkpoint and activates the stimulator of interferon genes (STING) signaling pathway in situ for enhanced antitumor immunity.

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The genus Brachyplatycerus De Santis is recorded for the first time from China (Guangxi Zhuang Autonomous Region), and Brachyplatycerus chinensis sp. nov. is described.

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This work explores whether holding the last aspiration for a period of time can promote cooperation. Specifically, an evolutionary spatial prisoner's dilemma game mode is proposed, in which the players adjust strategies and aspirations by considering the payoff and environment. Therefore, the core is to allow players to hold the current aspiration for a period of time.

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Objectives: To investigate the ability of ultrasomics to predict Ki-67 expression in hepatocellular carcinoma (HCC).

Methods: A total of 244 patients from three hospitals were retrospectively recruited (training dataset, n = 168; test dataset, n = 43; and validation dataset, n = 33). Lesion segmentation of the ultrasound images was performed manually by two radiologists.

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Objective: The purpose of this study was to investigate the preoperative prediction of Cytokeratin (CK) 19 expression in patients with hepatocellular carcinoma (HCC) by machine learning-based ultrasomics.

Methods: We retrospectively analyzed 214 patients with pathologically confirmed HCC who received CK19 immunohistochemical staining. Through random stratified sampling (ratio, 8:2), patients from institutions I and II were divided into training dataset (n = 143) and test dataset (n = 36), and patients from institution III served as external validation dataset (n = 35).

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Recently, the electronic waste (E-waste) has become the most serious environmental trouble because of the iteration of electronic products. Transparent conductive films (TCFs) are the key component of flexible electronic devices, so the development of devices based on degradable TCFs has become an important way to alleviate the problem of E-waste. Gelatin, one of the most prevalent natural biomacromolecules, has drawn increasing attention due to its good film-forming ability, superior biocompatibility, excellent degradability, and commercial availability at a relatively low cost, but has few applications in flexible electronics.

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Backgroud: Noninvasive myocardial work, estimated by left ventricular (LV) pressure-strain loop (PSL), has been introduced for assessing LV myocardial performance. Based on both blood pressure and speckle-tracking derived strain data, noninvasive myocardial work is considered to be less load-dependent than global longitudinal strain (GLS). In some conditions, such as hypertension or aortic coarctation, the increased afterload will affect strain measurements, and myocardial work can serve as a more robust metric.

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scRNA-seq is on track for use as a routine measurement of clinical biochemistry and to assist in clinical decision-making and guide the performance of molecular medicine, but there are still a large number of challenges to be overcome. In conclusion, scRNA-seq-based clusters and differentiation of circulating blood cells have been examined and informative in patients with various diseases, although the information generated from scRNA-seq varies between different conditions, technologies, and diseases. Most of the clinical studies published have focused on the landscape of circulating immune cells, disease-specific patterns of new clusters, understanding of potential mechanisms, and potential correlation between cell clusters, differentiations, cell interactions, and circulating and migrated cells.

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Objective: This study aims to explore the clinical value of machine learning-based ultrasomics in the preoperative noninvasive differentiation between hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC).

Methods: The clinical data and ultrasonic images of 226 patients from three hospitals were retrospectively collected and divided into training set ( = 149), test set ( = 38), and independent validation set ( = 39). Manual segmentation of tumor lesion was performed with ITK-SNAP, the ultrasomics features were extracted by the pyradiomics, and ultrasomics signatures were generated using variance filtering and lasso regression.

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Nanomedicine which delivers therapeutics to tumours holds great potential for cancer treatment. However, endosomal trapping and uncontrollable release usually limit the efficiency of nanomedicine. Herein, a smart mesoporous silica based nanoplatform was constructed, in which mesoporous silica nanoparticles (MSNs) serve as the core, capped with pH-induced charge-reversal polymer -PAH-cit- and cationic polyelectrolyte polyethyleneimine (PEI).

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Purpose: The present study investigated the value of ultrasomics signatures in the preoperative prediction of the pathological grading of hepatocellular carcinoma (HCC) via machine learning.

Methods: A total of 193 patients were collected from three hospitals. The patients from two hospitals (n = 160) were randomly divided into training set (n = 128) and test set (n = 32) at a 8:2 ratio.

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Background: Teleultrasound provides an effective solution to problems that arise from limited medical resources, a lack of local expertise, and scenarios where the risk of infection is high. This study aims to explore the feasibility of the application of a 5G-powered robot-assisted teleultrasound diagnostic system in an intensive care unit.

Methods: In this study, the robot-assisted teleultrasound diagnostic system MGIUS-R3 was used.

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Article Synopsis
  • A systematic review and meta-analysis were conducted to compare the effectiveness of whole family-based treatment for Helicobacter pylori (H. pylori) versus treatment for single-infected patients, focusing on eradication rates and recurrence.
  • The analysis included 12 studies, revealing that the whole family-based treatment group showed a higher eradication rate (OR=2.93) and significantly lower recurrence rate (OR=0.3) compared to the single-infected patient group.
  • The findings suggest that treating the whole family for H. pylori can improve eradication outcomes and decrease the chances of recurrence, particularly in children, while having no significant difference among spouses.
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