Publications by authors named "Li-Da Chen"

Purpose: This study aims to develop an autonomous robotic ultrasound scanning system (auto-RUSS) pipeline, comparing its reproducibility and observer consistency in image analysis with physicians of varying levels of expertise.

Design/methodology/approach: An auto-RUSS was engineered using a 7-degree-of-freedom robotic arm, with real-time regulation based on force control and ultrasound visual servoing. Two phantoms were employed for the human-machine comparative experiment, involving three groups: auto-RUSS, non-expert (4 junior physicians), and expert (4 senior physicians).

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The prevalence of both obstructive sleep apnea (OSA) and albuminuria increase with advanced age. The data on the association between OSA and albuminuria in subjects with advanced age were limited. Hence, the present study aimed to assess the association between sleep apnea (SA) and albuminuria in middle age and elderly population.

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Article Synopsis
  • Advanced liver fibrosis is a crucial stage in chronic liver disease (CLD) assessment, influencing treatment strategies and disease progression evaluation.
  • This study introduces an innovative diagnostic method called GLCV-Net, which combines global and local features from ultrasound images using three main components: a feature extractor, a local feature selector, and a fusion module.
  • The model demonstrated strong predictive performance, achieving over 86% accuracy in internal validations and confirming its effectiveness on external datasets, highlighting its potential for accurate, non-invasive diagnosis of advanced liver fibrosis.
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  • Pulmonary nocardiosis (PN) is a rare opportunistic infection studied in southern China, focusing on clinical, radiological, and microbiological aspects along with treatment outcomes.
  • The research included 67 PN patients, revealing that bronchiectasis was the most common respiratory condition, with cough and sputum as the major symptoms, while Nocardia farcinica was identified as the most prevalent pathogen.
  • Factors linked to poor prognosis included a higher neutrophil-to-lymphocyte ratio, concurrent bacterial infections, and the use of carbapenems.
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Background: Tongue inspection, an essential diagnostic method in Traditional Chinese Medicine (TCM), has the potential for early-stage disease screening. This study aimed to evaluate the effectiveness of deep learning-based analysis of tongue images for hepatic fibrosis screening.

Methods: A total of 1083 tongue images were collected from 741 patients and divided into training, validation, and test sets.

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The community population based studies on the relationship between obstructive sleep apnea and liver injury are limited. The study aimed to clarify the association between sleep apnea (SA) and liver injury by using the data in The National Health and Nutrition Examination Survey. SA was assessed by the sleep questionnaire and liver injury was evaluated by liver function test, hepatic steatosis index, and fibrosis-4.

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Liver fibrosis is a critical factor in the advancement of nonalcoholic fatty liver disease towards cirrhosis. There is limited research exploring the association between obstructive sleep apnea (OSA) and liver fibrosis among community populations. The present study aimed to assess the association between sleep apnea (SA) and liver fibrosis based on the National Health and Nutrition Examination Survey (NHANES).

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Background Noninvasive tests can be used to screen patients with chronic liver disease for advanced liver fibrosis; however, the use of single tests may not be adequate. Purpose To construct sequential clinical algorithms that include a US deep learning (DL) model and compare their ability to predict advanced liver fibrosis with that of other noninvasive tests. Materials and Methods This retrospective study included adult patients with a history of chronic liver disease or unexplained abnormal liver function test results who underwent B-mode US of the liver between January 2014 and September 2022 at three health care facilities.

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Background Large language models (LLMs) hold substantial promise for medical imaging interpretation. However, there is a lack of studies on their feasibility in handling reasoning questions associated with medical diagnosis. Purpose To investigate the viability of leveraging three publicly available LLMs to enhance consistency and diagnostic accuracy in medical imaging based on standardized reporting, with pathology as the reference standard.

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  • Obstructive sleep apnea (OSA) may increase the risk of lung cancer mortality, and this study investigates the molecular mechanisms behind this connection using transcriptome sequencing in mice with Lewis lung carcinoma (LLC) under chronic intermittent hypoxia (CIH) conditions.
  • The research identified 388 differentially expressed genes (DEGs), with 207 up-regulated and 181 down-regulated, which are linked to several key signaling pathways related to cancer development and immune response, including the IL-17 and TGF-β pathways.
  • Certain DEGs, such as APOL1 and KLRG1, are associated with poorer overall survival in lung adenocarcinoma, highlighting significant changes in gene expression
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Purpose: We retrospectively compared the diagnostic performance of contrast-enhanced ultrasonography (CEUS) and contrast-enhanced computer tomography-magnetic resonance imaging (CT/MRI) for recurrent hepatocellular carcinoma (HCC) after curative treatment.

Materials And Methods: After curative treatment with 421 ultrasound (US) detected lesions, 303 HCC patients underwent both CEUS and CT/MRI. Each lesion was assigned a Liver Imaging Reporting and Data System (LI-RADS) category according to CEUS and CT/MRI LI-RADS.

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Article Synopsis
  • Lesion localization and tracking in medical imaging are enhanced by Contrast-Enhanced Ultrasound (CEUS), which provides better images of blood flow compared to traditional methods, but current tracking systems struggle to fully utilize this data and handle respiratory motion.
  • The proposed adaptive-weighted dual mapping (ADMNet) includes a new Multimodal Atrous Attention Fusion (MAAF) module to adjust the focus between B-mode and CEUS images, and a Respiratory Motion Compensation (RMC) module to correct movement errors caused by breathing.
  • Testing on two large CEUS datasets shows that ADMNet surpasses existing tracking systems, highlighting the effectiveness of its components and opening up new opportunities for research in
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Objectives: To investigate the performance of US LI-RADS in surveillance for recurrent hepatocellular carcinoma (RHCC) after curative treatment.

Materials And Methods: This study enrolled 644 patients between January 2018 and August 2018 as a derivation cohort, and 397 patients from September 2018 to December 2018 as a validation cohort. The US surveillance after HCC curative treatment was performed.

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

Methods: In total, 245 liver nodules assigned to LR-3/4 in 192 patients from January 2010 to December 2016 were followed up by baseline US and CEUS. The differences in the rate and time of progression to hepatocellular carcinoma (HCC) among subcategories (defined as P1-P7) of LR-3/4 in CEUS Liver Imaging Reporting and Data System (LI-RADS) were analyzed.

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Objective: The objective of the work described here was to assess the value of the combination of pre-operative multimodal data-including clinical data, contrast-enhanced ultrasound (CEUS) information and liver stiffness measurement (LSM) based on 2-D shear wave elastography (SWE)-in predicting early (within 1 y) and late (after 1 y) recurrence of hepatocellular carcinoma (HCC) after curative treatment.

Methods: We retrospectively included 101 patients with HCC who met the Milan criteria and received curative treatment. The multimodel data from clinical parameters, LSM by 2-D SWE and CEUS enhancement patterns were collected.

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Purpose: Ferroptosis is reported to be involved in the chronic intermittent hypoxia (CIH)-related liver damage in vivo. Nuclear factor E2-related factor 2 (Nrf2) has an essential role in the regulation of ferroptosis. This study tested the hypothesis that intermittent hypoxia (IH) could lead to hepatocyte ferroptosis in vitro and the function of Nrf2 in IH-induced hepatocyte ferroptosis.

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Background: Older age is a risk factor for obstructive sleep apnea (OSA), which is associated with the development of nonalcoholic fatty liver disease (NAFLD). We aimed to investigate the correlation between OSA and liver injury among older patients. .

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Purpose: The association between obstructive sleep apnea (OSA) and cancer risks gaining more and more attention. Data on the association between OSA and lung cancer risk are limited. This study is to investigate whether a link exists between low-dose computed tomography (LDCT) scanning of the chest findings, carcinoembryonic antigen (CEA) and OSA in patients suspected of OSA.

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Intermittent hypoxia (IH) is a prominent feature of obstructive sleep apnea (OSA) which is increasingly recognized as a key risk factor for liver injury. Circular RNAs (circRNAs) has been suggested to act as a regulator of multiple biological processes. However, there is no study evaluating circRNAs alterations and potential role of circRNAs in OSA-related liver injury.

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Water convolvulus (Ipomoea aquatica Forsk.), a member of the Convolvulaceae family, is an important tropical vegetable cultivated in China (Liu et al. 2017).

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Rare-earth titanate pyrochlores have attracted considerable attention for their unique magnetic frustration. Among those compounds, YbTiO, a candidate for quantum spin ice, has been extensively studied in its magnetic ground state. However, works on its dielectric property and structure-property relationship lag far more behind.

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(Lour.) DC. 1828 is a deciduous shrub in the family Myrtaceae.

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

Materials And Methods: A standardized phantom was scanned to obtain US images. Reproducibility of radiomics features from US images, also known as ultrasomics features, was explored via (a) intra-US machine: changing the US acquisition parameters including gain, focus, and frequency; (b) inter-US machine: comparing three different scanners; (c) changing segmentation locations; and (d) inter-platform: comparing features extracted by the Ultrasomics and PyRadiomics algorithm platforms.

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Background: The imaging findings of combined hepatocellular cholangiocarcinoma (CHC) may be similar to those of hepatocellular carcinoma (HCC). CEUS LI-RADS may not perform well in distinguishing CHC from HCC. Studies have shown that radiomics has an excellent imaging analysis ability.

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