Skip to main content

and
  1. Article

    Open Access

    Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis

    To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.

    Wei Li, Yang Huang, Bo-Wen Zhuang, Guang-Jian Liu, Hang-Tong Hu in European Radiology (2019)

  2. No Access

    Article

    Ultrasound-based radiomics score: a potential biomarker for the prediction of microvascular invasion in hepatocellular carcinoma

    To develop an ultrasound (US)-based radiomics score for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC).

    Hang-tong Hu, Zhu Wang, **ao-wen Huang, Shu-ling Chen, **n Zheng in European Radiology (2019)

  3. No Access

    Article

    Comparison between M-score and LR-M in the reporting system of contrast-enhanced ultrasound LI-RADS

    To develop a contrast-enhanced ultrasound (CEUS) M-score and compare it with LR-M in CEUS Liver Imaging Reporting and Data System (LI-RADS).

    Li-Da Chen, Si-Min Ruan, Yuan Lin, **-Yu Liang, Shun-Li Shen in European Radiology (2019)

  4. No Access

    Article

    Inter-reader agreement of CEUS LI-RADS among radiologists with different levels of experience

    To investigate the inter-reader agreement of contrast-enhanced ultrasound (CEUS) of Liver Imaging Reporting and Data System version 2017 (LI-RADS v2017) categories among radiologists with different levels of e...

    Wei Li, Lv Li, Bo-Wen Zhuang, Si-Min Ruan, Hang-Tong Hu, Yang Huang in European Radiology (2021)

  5. No Access

    Article

    Reproducibility of radiomics features from ultrasound images: influence of image acquisition and processing

    To systematically assess the reproducibility of radiomics features from ultrasound (US) images during image acquisition and processing.

    Ming-De Li, Mei-Qing Cheng, Li-Da Chen, Hang-Tong Hu, Jian-Chao Zhang in European Radiology (2022)

  6. No Access

    Article

    Aberrant spontaneous brain activity in patients with thyroid-associated ophthalmopathy with and without optic neuropathy: a resting-state functional MRI study

    To investigate the brain functional alterations in dysthyroid optic neuropathy (DON) by evaluating spontaneous neural activity, using functional magnetic resonance imaging (fMRI) with regional homogeneity (ReH...

    ** Liu, Ban Luo, Ying Feng, Lang Chen, Ya-li Zhao, Qiu-xia Wang in European Radiology (2023)

  7. No Access

    Article

    Clinical outcome is distinct between radiological stricture and endoscopic stricture in ileal Crohn’s disease

    Differences in clinical adverse outcomes (CAO) based on different intestinal stricturing definitions in Crohn’s disease (CD) are poorly documented. This study aims to compare CAO between radiological stricture...

    Li Shi, Yang-di Wang, **ao-di Shen, Ren Mao, Ji-xin Meng in European Radiology (2023)

  8. No Access

    Article

    Surveillance for malignant progression of LI-RADS version 2017 category 3/4 nodules using contrast-enhanced ultrasound

    To identify the risk factors for predicting the malignant progression of LR-3/4 observations on the baseline and contrast-enhanced ultrasound (CEUS).

    Hui Huang, Chao-qun Li, Dan-ni He, Si-min Ruan, Ming-de Li in European Radiology (2023)

  9. No Access

    Article

    US LI-RADS in surveillance for recurrent hepatocellular carcinoma after curative treatment

    To investigate the performance of US LI-RADS in surveillance for recurrent hepatocellular carcinoma (RHCC) after curative treatment.

    Hui Huang, Mei-Qing Cheng, Dan-Ni He, Meng-Fei **an, Dan Zeng in European Radiology (2023)

  10. No Access

    Article

    Cross-sectional imaging: current status and future potential in adult celiac disease

    Celiac disease (CD), triggered by exposure to gluten in genetically susceptible individuals, is an immune-mediated small bowel disease affecting about 1% of the population worldwide. But the prevalence of CD v...

    **n-yue Wang, Zhoulei Li, Si-yun Huang, **ao-di Shen, Xue-hua Li in European Radiology (2024)

  11. Article

    Open Access

    Deep learning system for malignancy risk prediction in cystic renal lesions: a multicenter study

    To develop an interactive, non-invasive artificial intelligence (AI) system for malignancy risk prediction in cystic renal lesions (CRLs).

    Quan-Hao He, Jia-Jun Feng, Ling-Cheng Wu, Yun Wang, Xuan Zhang in Insights into Imaging (2024)