Publications by authors named "KaiYan Li"

Article Synopsis
  • The study evaluates the effectiveness of Sonazoid-CEUS in diagnosing hepatocellular carcinoma (HCC) in cirrhotic patients, comparing guidelines from KLCA-NCC 2022 and APASL 2017.
  • Results indicate that the KLCA-NCC 2022 guidelines offer high sensitivity (96.2%) and impressive specificity (93.8%), while APASL 2017 shows higher sensitivity (97.8%) but lower specificity (46.9%).
  • Overall, Sonazoid-CEUS guided by KLCA-NCC 2022 is highlighted as a promising tool for HCC diagnosis, offering strong predictive values and accuracy in clinical settings.
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  • Traditional metrics for measuring digital mammography and tomosynthesis image quality often fail to predict clinical performance, leading to the use of a more realistic breast phantom with randomized microcalcifications and deep learning for evaluation.
  • The research focused on developing a methodology that combines an anthropomorphic breast phantom, a specific microcalcification detection task, and a convolutional neural network for automated performance assessment.
  • Results showed that the ability to detect microcalcifications varied with the amount of radiation exposure, indicating that the new method is effective for evaluating different mammography technologies.
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Previous studies have shown that the threat level posed by a predator can vary with physical features. In this study, we tested whether the wing posture of a raptor could serve as a clue for bird threat assessment. We observed the behavioral response of Japanese tits Parus minor to taxidermy dummies Eurasian sparrowhawks Accipiter nisus with either spread wings and closed wings.

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Optical coherence tomography (OCT) is a noninvasive technology that enables real-time imaging of tissue microanatomies. The axial resolution of OCT is intrinsically constrained by the spectral bandwidth of the employed light source while maintaining a fixed center wavelength for a specific application. Physically extending this bandwidth faces strong limitations and requires a substantial cost.

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Purpose: Recently, learning-based denoising methods that incorporate task-relevant information into the training procedure have been developed to enhance the utility of the denoised images. However, this line of research is relatively new and underdeveloped, and some fundamental issues remain unexplored. Our purpose is to yield insights into general issues related to these task-informed methods.

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Multi-modal medical images provide complementary soft-tissue characteristics that aid in the screening and diagnosis of diseases. However, limited scanning time, image corruption and various imaging protocols often result in incomplete multi-modal images, thus limiting the usage of multi-modal data for clinical purposes. To address this issue, in this paper, we propose a novel unified multi-modal image synthesis method for missing modality imputation.

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Article Synopsis
  • This study compares the effectiveness of Sonazoid-contrast-enhanced ultrasound (CEUS) versus Gd-EOB-DTPA-enhanced MRI in detecting microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC).
  • 64 patients with confirmed HCC were analyzed post-operatively, categorizing them into those with and without MVI to evaluate diagnostic efficiency.
  • CEUS showed higher sensitivity (61.9%-86.4%), while MRI had greater specificity (54.7%-90.5%), with both methods providing valuable but complementary information for MVI prediction.
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Objective: The objective of this study was to develop a combined model based on radiomics features of Sonazoid contrast-enhanced ultrasound (CEUS) during the Kupffer phase and to evaluate its value in differentiating well-differentiated hepatocellular carcinoma (w-HCC) from atypical benign focal liver lesions (FLLs).

Methods: A total of 116 patients with preoperatively Sonazoid-CEUS confirmed w-HCC or benign FLL were selected from a prospective multiple study on the clinical application of Sonazoid in FLLs conducted from August 2020 to March 2021. According to the randomization principle, the patients were divided into a training cohort and a test cohort in a 7:3 ratio.

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Background: Adequate evaluation of degrees of liver cirrhosis is essential in surgical treatment of hepatocellular carcinoma (HCC) patients. The impact of the degrees of cirrhosis on prediction of post-hepatectomy liver failure (PHLF) remains poorly defined. This study aimed to construct and validate a combined pre- and intra-operative nomogram based on the degrees of cirrhosis in predicting PHLF in HCC patients using prospective multi-center's data.

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Purpose: Early recurrence (ER) after surgery is related to early death in patients with hepatocellular carcinoma (HCC) after radical resection. To explore the role of preoperative contrast-enhanced ultrasound (CEUS) in predicting ER of HCC after curative resection and to stratify the risk of ER.

Materials And Methods: This study evaluated consecutive 556 patients with HCC who were examined by CEUS during the 2 weeks before curative resection between January 2011 and December 2018.

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Objective: Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by abnormal activation of the type I interferon (IFN) pathway, which results in tissue inflammation and organ damage. We explored the role of the RhoA GTPase in the type I IFN activation pathway to provide a potential basis for targeting GTPase signaling for the treatment of SLE.

Methods: Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of SLE patients and healthy controls, and the mRNA expression levels of RhoA and IFN-stimulated genes were measured by SYBR Green quantitative reverse transcriptase-polymerase chain reaction.

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Objective: Systemic lupus erythematosus (SLE) is an autoimmune disorder characterized by abnormal activation of the type I interferon (IFN) pathway, which results in tissue inflammation and organ damage. We explored the role of the RhoA GTPase in the type I IFN activation pathway to provide a potential basis for targeting GTPase signaling for the treatment of SLE.

Methods: Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of SLE patients and healthy controls, and the mRNA expression levels of RhoA and IFN-stimulated genes were measured by SYBR Green quantitative reverse transcriptase-polymerase chain reaction.

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Objective: Microvascular invasion (MVI) is an independent risk factor for the early recurrence and poor survival of hepatocellular carcinoma (HCC). This study aims to investigate the potential clinical value of dynamic contrast-enhanced ultrasound (DCE-ultrasound)-Sonazoid in pre-operatively assessing MVI in HCC.

Methods And Materials: This single centre prospective study included 140 patients with histopathologically confirmed single HCC lesions.

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Glioblastoma (GBM) has a high degree of invasiveness, which is largely attributed to the invalidation of current therapy and the unclear tumor growth mechanism. Ras related GTP binding B (RRAGB) is a family member of the Ras-homologous GTPases. The effect of RRAGB on tumor growth has been recognized, but its influences on GBM progression are ill-defined.

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Objectives: The aim of this study was to develop a predictive model based on Sonazoid contrast-enhanced ultrasound (SCEUS) and clinical features to discriminate poorly differentiated hepatocellular carcinoma (P-HCC) from intrahepatic cholangiocarcinoma (ICC).

Patients And Method: Forty-one ICC and forty-nine P-HCC patients were enrolled in this study. The CEUS LI-RADS category was assigned according to CEUS LI-RADS version 2017.

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Background: Creativity and self-directed learning (SDL) are prominent for undergraduate healthcare students to provide quality patient care in an increasingly complex healthcare environment. Research suggested that SDL is linked with creativity, yet the mechanism underlying the relationship between SDL and creativity has not been fully understood.

Objective: This study examined the relationship between SDL and creativity and constructed a chain mediation model to identify the mediating effect of openness to diversity and challenge (ODC) and creative self-efficacy (CSE).

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Objectives: The aim of this study was to evaluate the potential of Sonazoid contrast-enhanced ultrasound (SNZ-CEUS) as an imaging biomarker for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC).

Methods: From August 2020 to March 2021, we conducted a prospective multicenter study on the clinical application of Sonazoid in liver tumor; a MVI prediction model was developed and validated by integrating clinical and imaging variables. Multivariate logistic regression analysis was used to establish the MVI prediction model; three models were developed: a clinical model, a SNZ-CEUS model, and a combined model and conduct external validation.

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Purpose: This study evaluated the performance of the contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) in patients without LI-RADS-defined hepatocellular carcinoma (HCC) risk factors (RF-).

Methods: Patients with LI-RADS-defined HCC risk factors (RF+) and RF- were enrolled in a retrospective study. Additionally, a prospective evaluation in the same centre was performed as a validation set.

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Dressing with the function of anti-wound infection and promoting skin repair plays an important role in medicine, beauty industry, etc. In terms of anti-wound infection, traditional dressings, such as gauze, have problems such as excessive bleeding in the process of contact or removal, and slow wound healing due to poor biological compatibility. The development of new functional and biocompatible dressings has essential application value in biomedical fields.

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Article Synopsis
  • Hepatocellular carcinoma (HCC) is the most common liver cancer, and researchers aimed to predict early recurrence (ER) and overall survival (OS) in patients after surgical removal using deep learning-based radiomics (DLR).
  • They studied 414 HCC patients with preoperative ultrasound images and created models to assess ER and OS based on clinical data and DLR results.
  • The findings revealed that the DLR and combined clinical + DLR models were more accurate than the clinical model alone, indicating that DLR can significantly enhance survival predictions for HCC patients post-surgery.
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Objectives: We aimed to evaluate the efficacy of anti-programmed cell death 1 (PD-1)/programmed death-ligand 1 (PD-L1) antibody therapy by assessing the hyper-enhanced rim phenomenon of hepatocellular carcinoma (HCC) on Sonazoid-contrast-enhanced ultrasound (CEUS) Kupffer phase images.

Methods: This retrospective study included 61 patients with HCC who received anti-PD-1/PD-L1 antibody therapy from August 1, 2020, to January 31, 2022. We compared the progression-free survival (PFS) of patients with hyper-enhanced rim+ and hyper-enhanced rim-nodules and the time to nodule progression (TTnP) of hyper-enhanced rim+ and hyper-enhanced rim- nodules.

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Background: Ki-67 is widely used as a proliferative and prognostic factor in HCC. This study aimed to analyze the relationship between dynamic contrast-enhanced ultrasonography (DCE-US) parameters and Ki-67 expression.

Methods: One hundred and twenty patients with histopathologically confirmed HCC who underwent DCE-US were included in this prospective study.

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Background: Evidence for central nervous system involvement in primary Sjögren's syndrome (pSS) patients is controversial and extremely limited. We aimed to describe the clinical profiles and high-risk indicators of primary Sjögren's syndrome (pSS) patients with central nervous system (CNS) involvement (pSS-CNS).

Methods: A total of 412 participants with pSS from a hospital in China from January 2012 to December 2019 were enrolled in the retrospective study.

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The aim of this prospective study was to compare the diagnostic accuracy of oral contrast-enhanced transabdominal ultrasound imaging (OCTU) with that of contrast-enhanced computed tomography (CT) for the pre-operative tumor staging of gastric cancer, with post-operative pathology as the standard. We included 108 cases of gastric cancer with simultaneous OCTU and enhanced CT pre-operative tumor staging diagnoses. Results were compared with post-operative pathology based on the eighth edition of the American Joint Committee on Cancer tumor-node-metastasis staging guidelines for gastric cancer.

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