Publications by authors named "Jun-Yi Xin"

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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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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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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  • - A study investigated the role of genetic variants in the Hippo pathway genes and their association with house dust mite (HDM)-induced allergic rhinitis (AR), a common respiratory condition characterized by bothersome symptoms.
  • - Researchers conducted a case-control study involving 222 individuals with AR and 237 controls, focusing on 121 genetic variants and using various methods for DNA extraction and genotyping to evaluate their effects on AR risk.
  • - The findings revealed that the genetic variant rs754466 in the DLG5 gene was linked to a reduced risk of developing HDM-induced AR, particularly in individuals with moderate to severe nasal symptoms, and was associated with higher mRNA expression of DLG5.
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Background: An angiomyolipoma usually occurs in the kidneys and rarely in the liver. Hepatic epithelioid angiomyolipoma (HEAML), a rare variant of angiomyolipoma, possesses malignant potential and mimics the imaging features of hepatocellular carcinoma. Sonazoid® (perfluorobutane microbubbles), a new contrast agent that facilitates hepatic parenchyma-specific Kupffer phase imaging on contrast-enhanced ultrasonography (CEUS), is useful for the detection and characterization of focal liver lesions.

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Medical entity recognition, a basic task in the language processing of clinical data, has been extensively studied in analyzing admission notes in alphabetic languages such as English. However, much less work has been done on nonstructural texts that are written in Chinese, or in the setting of differentiation of Chinese drug names between traditional Chinese medicine and Western medicine. Here, we propose a novel cascade-type Chinese medication entity recognition approach that aims at integrating the sentence category classifier from a support vector machine and the conditional random field-based medication entity recognition.

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