Publications by authors named "ShiChao Li"

Background Selection between open thyroidectomy (OT) and minimally invasive (endoscopic/robotic) thyroidectomy (MT) for patients with thyroid cancer has been a subject of considerable debate. Comprehensive analysis of the short-term outcomes of endoscopic thyroidectomy (ET), robotic thyroidectomy (RT) and OT for thyroid cancer using a large-scale dataset is important. Methods This cohort study evaluated the outcomes of patients receiving ET, RT vs OT for thyroid cancer from January 1, 2003, to December 31, 2022.

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The Mott-Ioffe-Regel limit sets the lower bound of the carrier mean free path for coherent quasiparticle transport. Metallicity beyond this limit is of great interest because it is often closely related to quantum criticality and unconventional superconductivity. Progress along this direction mainly focuses on the strange-metal behaviors originating from the evolution of the quasiparticle scattering rate, such as linear-in-temperature resistivity, while the quasiparticle coherence phenomena in this regime are much less explored due to the short mean free path at the diffusive bound.

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Classical density functional theory (DFT) provides a versatile framework to study the polymers with complex topological structure. Generally, a classical DFT describes the excess Helmholtz free energy of nonbonded chain connectivity due to excluded-volume effects and electrostatic correlations using the first-order thermodynamic perturbation theory (referred to as DFT-TPT1). Beyond first-order perturbation, the second-order TPT (TPT2) captures not only the correlations between neighboring monomers but also the interactions within three consecutive monomers, playing a crucial role in describing the polymer topology.

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  • The study aimed to investigate the effectiveness of three-dimensional arterial spin labeling (ASL) and six different diffusion MRI models to differentiate between solid benign and malignant renal tumors.
  • The research analyzed data from 89 patients with renal tumors, looking at various parameters from ASL and six diffusion models, with results indicating that the stretched exponential model (SEM) performed best for distinguishing clear cell renal cell carcinoma (ccRCC) from other types.
  • Ultimately, combining ASL with various diffusion models significantly enhances diagnostic accuracy, particularly in identifying ccRCC.
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Background: Multiple brands of immune checkpoint inhibitors (ICIs), including domestic and imported agents, have been approved as front-line therapy in China. However, little is known about the difference in efficacy and safety of these agents of different origins. This study aims to systematically compare the difference between National Medical Products Administration (NMPA) approved domestic and imported ICIs regarding their efficacy, safety, and price.

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  • A low-viscosity epoxy resin called TFEPA, compatible with liquid oxygen, was developed to reduce the viscosity of phosphorus-containing bisphenol F epoxy resins, making them easier to process at higher temperatures.
  • The viscosity of the bisphenol F resin significantly decreased from 4925 to 749 mPa·s at 45 °C when mixed with 10 wt.% TFEPA, improving processing efficiency by increasing temperature and time windows by 73% and 186%.
  • After curing, the composite maintained good properties at -196 °C, showing high tensile strength and toughness, with notable increases in flexural strength and strain energy, thanks to the addition of TFEPA.
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  • The study aimed to determine if body composition measurements could be used as biomarkers to assess the risk of chronic kidney disease (CKD) progression.
  • Researchers analyzed 416 CKD patients, categorizing them into high-risk and low-risk groups based on kidney function decline and using CT images to measure body fat characteristics.
  • The findings highlighted subcutaneous adipose tissue radiodensity as a key predictor for high-risk CKD patients, leading to the development of a nomogram that effectively predicts progression using easily measurable parameters.
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Background: Obesity is recognized as a primary risk factor for cerebral ischemia, which has shown a significant increase in its incidence among obese patients. The exact mechanism by which obesity exacerbates cerebral ischemic injury is not fully understood though. The present study validated the hypothesis that obesity mediates pyroptosis by the AGEs/RAGE signaling pathway to exacerbate cerebral ischemic injury.

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  • The NEOTAX phase 2 study explored how effective and safe the combination of toripalimab and axitinib is for patients with clear cell renal cell carcinoma and inferior vena cava tumor thrombus.
  • Out of 25 patients, 44% showed a reduction in thrombus level, with a median decrease in tumor thrombus length of 2.3 cm, while 61.9% had changes in their surgical approach.
  • The study found promising progression-free survival rates (25.3 months median; 89.1% at 1 year) and noted no severe treatment-related adverse events, suggesting that the combination therapy effectively downstages the tumor and improves surgical outcomes.
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Accurate prediction of renal mass subtypes, along with the WHO/ISUP grade and pathological T (pT) stage of clear cell renal cell carcinoma (ccRCC), is crucial for optimal decision making. Our study aimed to investigate the feasibility and reproducibility of motion-robust radial T2 mapping in differentiating lipid-poor angiomyolipoma (MFAML) from RCC and characterizing the WHO/ISUP grade and pT stage of ccRCC. Finally, 92 patients undergoing renal radial T2 mapping and ZOOMit DWI were recruited.

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  • Kidney transplantation is the best treatment for children with severe kidney disease, but delayed graft function (DGF) can harm long-term outcomes, especially in pediatric patients, prompting the need for better predictive models.
  • This study analyzed data from 140 pediatric kidney transplant recipients and identified key factors associated with DGF, such as high-density lipoprotein cholesterol levels and ischemia times.
  • A machine learning approach was used to develop a predictive model for DGF, achieving high accuracy and performance, which could assist clinicians in decision-making post-transplantation.
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  • The study focused on blending bisphenol A-type phthalonitrile (BAPH) with an epoxy system (E51/DDS) to create a new thermoset material and assessed its curing process using differential scanning calorimetry (DSC).
  • Results showed a decrease in activation energy for the curing reaction and confirmed that the phthalonitrile enhanced the crosslinking of the epoxy/amine system.
  • Characterization techniques like FTIR, DMA, and TGA indicated improved thermal properties, such as a higher glass transition temperature and increased char yield during pyrolysis, suggesting the formation of a copolymer with no phase separation.
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Posttransplantation complications pose a major challenge to the long-term survival and quality of life of organ transplant recipients. These complications encompass immune-mediated complications, infectious complications, metabolic complications, and malignancies, with each type influenced by various risk factors and pathological mechanisms. The molecular mechanisms underlying posttransplantation complications involve a complex interplay of immunological, metabolic, and oncogenic processes, including innate and adaptive immune activation, immunosuppressant side effects, and viral reactivation.

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Purpose: To explore the Oxford classification and prognostic risk stratification of the non-invasive evaluation of immunoglobulin A nephropathy (IgAN) or immunoglobulin A vasculitis with nephritis (IgAVN) in children using multiparametric magnetic resonance imaging (MRI).

Materials And Methods: Forty-four children diagnosed with IgAN or IgAVN were included. Patients with 80-month risk scores >10% were categorized as the high-risk group, while others constituted the low-risk group.

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The impact of tumor size on the survival and chemotherapy reponse of early-stage colon cancer remains unclear. Our study explored the effect of tumor size on overall survival (OS) and postoperative chemotherapy efficacy in patients with stage I/II colon cancer. Stage I/II colon cancer patients from the Surveillance, Epidemiology and End Results (SEER) database and a China center were extracted as two cohorts respectively.

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  • Traditional digital electronics principles may limit the design of complex gene circuits, prompting the need for innovative approaches in biocomputation.
  • The introduction of the tristate-based logic synthesis (TriLoS) framework using genetic variants of tristate buffers enables efficient design of multi-layered gene networks for performing advanced Boolean logic.
  • This research paves the way for programmable cell-based therapies that can tailor drug release based on specific diseases, potentially leading to significant advancements in precision medicine.
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  • The study focuses on identifying new biomarkers for early diagnosis and prediction of organ dysfunction in septic patients undergoing emergency surgery.
  • Through various analyses, researchers identified 146 differentially expressed proteins (DEPs) in sepsis patients, with six proteins, including Cathepsin B and S100-A9, showing significant increases compared to controls.
  • Logistic regression analysis indicated that these biomarkers could help predict organ dysfunction, particularly renal failure, with a strong model performance evidenced by a C-index of 0.898.
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Background: Non-alcoholic fatty liver disease (NAFLD) has emerged as a predominant driver of chronic liver disease globally and is associated with increased cardiovascular disease morbidity and mortality. However, the association between NAFLD and calcific aortic valve disease remains unclear. We aimed to prospectively investigate the association between NAFLD and incident aortic valve calcification (AVC), as well as its genetic relationship with incident calcific aortic valve stenosis (CAVS).

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Immunotherapy has been an advanced and effective approach to treating various types of solid tumors in recent years, and the most successful strategy is immune checkpoint inhibitors (ICIs), which have shown beneficial effects in patients with colorectal cancer (CRC). Drug resistance to ICIs is usually associated with CD8 T-cells targeting tumor antigens; thus, CD8 T-cells play an important role in immunotherapy. Unfortunately, Under continuous antigen stimulation, tumor microenvironment(TME), hypoxia and other problems it leads to insufficient infiltration of CD8 T-cells, low efficacy and mechanism exhaustion, which have become obstacles to immunotherapy.

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  • - The study focused on the chloroplast genomes of various species within the Poaceae Bromeae, revealing genome sizes from 136,934 to 137,189 base pairs and a standard quadripartite structure with 129 genes (83 protein-coding, 38 tRNA-coding, and 8 rRNA-coding).
  • - High GC content was observed in the inverted repeat (IR) region, with 33 frequent codons identified, while 350 simple sequence repeats (SSRs) were analyzed, primarily consisting of single-nucleotide repeats.
  • - A phylogenetic tree constructed from the data placed the species as a monophyletic group closely related to Triticum, indicating its potential for species identification and
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Objective: Nuclei segmentation is a crucial pre-task for pathological microenvironment quantification. However, the acquisition of manually precise nuclei annotations for improving the performance of deep learning models is time-consuming and expensive.

Methods: In this paper, an efficient nuclear annotation tool called NuSEA is proposed to achieve accurate nucleus segmentation, where a simple but effective ellipse annotation is applied.

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We present a new learning-based framework S-3D-RCNN that can recover accurate object orientation in SO(3) and simultaneously predict implicit rigid shapes from stereo RGB images. For orientation estimation, in contrast to previous studies that map local appearance to observation angles, we propose a progressive approach by extracting meaningful Intermediate Geometrical Representations (IGRs). This approach features a deep model that transforms perceived intensities from one or two views to object part coordinates to achieve direct egocentric object orientation estimation in the camera coordinate system.

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Emerging evidence indicates that alteration of gut microbiota plays an important role in chronic kidney disease (CKD)-related vascular calcification (VC). We aimed to investigate the specific gut microbiota and the underlying mechanism involved in CKD-VC. We identified an increased abundance of () in the feces of CKD rats (induced by using 5/6 nephrectomy followed by a high calcium and phosphate diet) with aortic calcification via amplicon sequencing of 16S rRNA genes.

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  • This study is about creating a computer program that uses deep learning to help doctors predict how serious a type of kidney cancer (ccRCC) is before they treat patients.
  • Researchers analyzed CT images from 614 patients to teach the program how to recognize tumors, kidneys, and fat around the kidneys to gather important information.
  • The program showed good results in accurately identifying kidney tumors and also in predicting cancer grades, which helps in making better treatment plans for patients.
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Synopsis of recent research by authors named "ShiChao Li"

  • - ShiChao Li's recent research spans diverse fields, primarily focusing on biomedical applications and polymer science, including the creation of novel epoxy resins and their composite materials for specialized uses.
  • - Significant findings include an innovative liquid oxygen-compatible epoxy resin that reduces viscosity in other resin types, which promises improvements in material properties and performance across varying temperatures.
  • - Li is also investigating critical medical conditions, such as the progression risk of chronic kidney disease and the potential of using body composition as biomarkers, along with the implications of obesity on neuronal injury pathways and kidney transplantation outcomes.