Publications by authors named "E-M Lee"

Large Language Models (LLMs) such as ChatGPT have been increasingly integrated into radiology research, revolutionizing the research landscape. The Radiology Research Alliance (RRA) of the Association for Academic Radiology (AAR) has convened a Task Force to develop this guide to help radiology researchers responsibly adopt LLM technologies. LLMs can improve various phases of the research process by helping to automate literature reviews, generate research questions, analyze complex datasets, and draft manuscripts.

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Background: Osteoarthritis (OA) is a painful degenerative joint disease and a leading source of years lived with disability globally due to inadequate treatment options. Neuroimmune interactions reportedly contribute to OA pain pathogenesis. Notably, in rodents, macrophages in the DRG are associated with onset of persistent OA pain.

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Scientists from diverse backgrounds are underrepresented (UR) in academia. This lack of diversity impedes scientific discovery and innovation. UR scientists tend to conduct research on issues relevant to UR populations, including chronic disease prevention and management, and health disparities.

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Motile cilia are ancient, evolutionarily conserved organelles whose dysfunction underlies motile ciliopathies, a broad class of human diseases. Motile cilia contain a myriad of different proteins that assemble into an array of distinct machines, and understanding the interactions and functional hierarchies among them presents an important challenge. Here, we defined the protein interactome of motile axonemes using cross-linking mass spectrometry in Tetrahymena thermophila.

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Background: Cardiac allograft vasculopathy (CAV) leads to impaired myocardial blood flow (MBF), increasing the risk of cardiovascular death or retransplant among heart transplantation (HT) recipients. Data on elevation in donor-derived cell-free DNA (dd-cfDNA) and CAV in the absence of rejection are mixed. We sought to test the hypothesis that CAV with reduced MBF (RMBF) is associated with elevated dd-cfDNA.

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Objective: Severe type 2 eosinophilic chronic rhinosinusitis with nasal polyps (CRSwNP) is challenging to treat and susceptible to recurrence post-surgery. This study aimed to evaluate the relationship between clinical markers and tissue type 2 inflammatory severity in patients with CRSwNP.

Methods: Adult patients who underwent endoscopic sinus surgery for bilateral CRSwNP were prospectively enrolled.

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Background: Genomic sequencing technology allows for identification of reproductive couples with an increased chance, as compared with that in the general population, of having a child with an autosomal recessive or X-linked genetic condition.

Methods: We investigated the feasibility, acceptability, and outcomes of a nationwide, couple-based genetic carrier screening program in Australia as part of the Mackenzie's Mission project. Health care providers offered screening to persons before pregnancy or early in pregnancy.

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Disease-modifying therapies for Alzheimer's disease (AD) are likely to be most beneficial when initiated in the presymptomatic phase. To track the benefit of such interventions, fluid biomarkers are of great importance, with neurofilament light chain protein (NfL) showing promise for monitoring neurodegeneration and predicting cognitive outcomes. Here, we update and complement previous findings from the Dominantly Inherited Alzheimer Network Observational Study by using matched cross-sectional and longitudinal cerebrospinal fluid (CSF) and plasma samples from 567 individuals, allowing timely comparative analyses of CSF and blood trajectories across the entire disease spectrum.

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Background And Objectives: Large vessel vasculopathy (LVV), or moyamoya syndrome, increases the risk of stroke in patients with sickle cell disease (SCD), yet effective treatments are lacking. In atherosclerotic carotid disease, previous studies demonstrated elevated oxygen extraction fraction (OEF) as a predictor of ipsilateral stroke. In a SCD cohort, we examined hemispheric hemodynamic and oxygen metabolic dysfunction as tissue-based biomarkers of cerebral ischemic risk in patients with LVV.

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  • The study investigates how AI-generated measurements of intraprostatic tumor volume from MRI scans can predict the risk of metastasis in prostate cancer patients treated with either radiation therapy or radical prostatectomy.
  • A total of 732 patients were involved, with findings indicating that a larger tumor volume significantly correlated with increased rates of metastasis during the follow-up periods, which averaged 6.9 years for radiation therapy and 5.5 years for surgery.
  • The research highlighted that the AI-based volume measurements provided independent prognostic information, outperforming traditional risk categorization methods in predicting long-term metastasis.
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  • Dual immune checkpoint blockade (ICB) using CTLA4 and PD-(L)1 inhibitors shows improved anti-tumor effectiveness and immune toxicity compared to PD-(L)1 inhibitors alone in advanced non-small-cell lung cancer (NSCLC) patients.
  • Patients with mutations in STK11 and/or KEAP1 genes benefit more from the combination treatment compared to those receiving only PD-(L)1 inhibitors, as shown in the POSEIDON trial.
  • The loss of KEAP1 serves as a strong predictor for the success of dual ICB, as it leads to a more favorable outcome by changing the tumor's immune environment to better engage CD4 and CD8 T cells for anti-tumor activity. *
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  • * Recently, there have been great breakthroughs for MS, with new medications being approved, but people with PD still have not gotten new treatments and only have old ones that don't work as well.
  • * Experts from around the world gathered in Toronto to discuss how to improve treatment for PD by learning from what worked for MS, focusing on things like better clinical trials and understanding the diseases better.
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  • An error grid is a tool that helps compare glucose levels measured by devices to see if they are correct and to identify any risks.
  • Experts created a new error grid called the DTS Error Grid that works for both blood glucose monitors (BGMs) and continuous glucose monitors (CGMs), organizing accuracy into five risk zones.
  • The results showed that the DTS Error Grid provides a clearer picture of how accurate these devices are and includes a separate matrix to evaluate how well CGMs track glucose trends over time.
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  • The mean upper cervical cord area (MUCCA) is a key biomarker for neurodegeneration, but high-resolution imaging of the cervical spinal cord is not commonly used in clinical practice due to limitations with current imaging techniques.
  • A new approach utilizing the zero-shot super-resolution technique SMORE, previously validated in brain imaging, is proposed to enhance cervical spinal cord images obtained in standard 2D formats.
  • Test results indicate that super-resolved images provide a more accurate representation of the upper cord area compared to low-resolution scans, showing excellent correlation with high-resolution scans and highlighting their effectiveness in tracking neurodegeneration over time.
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Advanced thermal management technologies represent an important research frontier because such materials and systems show promise for enhancing personal physiological comfort and reducing building energy consumption. These technologies typically offer the advantages of excellent portability, user-friendly tunability, energy efficiency, and straightforward manufacturability, but they frequently suffer from critical challenges associated with poor breathability, inadequate wash stability, and difficult fabric integration. Within this broader context, our laboratory has previously developed heat-managing composite materials by drawing inspiration from the color-changing skin of the common squid.

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We previously showed that miR-146a-5p is upregulated in pancreatic islets treated with proinflammatory cytokines. Others have reported that miR-146a-5p overexpression is associated with β cell apoptosis and impaired insulin secretion. However, the molecular mechanisms mediating these effects remain elusive.

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Objective: Chat-based artificial intelligence programs like ChatGPT are reimagining how patients seek information. This study aims to evaluate the quality and accuracy of ChatGPT-generated answers to common patient questions about lung cancer surgery.

Methods: A 30-question survey of patient questions about lung cancer surgery was posed to ChatGPT in July 2023.

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Background: Ischemic stroke (IS) represents a significant health burden globally, necessitating a better understanding of its genetic underpinnings to improve prevention and treatment strategies. Despite advances in IS genetics, studies focusing on the Spanish population and sex-stratified analyses are lacking.

Methods: A case-control genome-wide association study was conducted with 9081 individuals (3493 IS cases and 5588 healthy controls).

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Current guidelines for treating vaccine-induced immune thrombotic thrombocytopenia (VITT) recommend nonheparin anticoagulants and IV immunoglobulin (IVIg). However, the efficacy of these treatments remains uncertain due to case studies involving small patient numbers, confounding factors (eg, concurrent treatments), and a lack of animal studies. A recent study proposed danaparoid and heparin as potential VITT therapies because of their ability to disrupt VITT IgG-platelet factor 4 (PF4) binding.

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  • The study investigates the influence of genetic factors on the lifetime risk of multiple sclerosis (MS) using a population-based cohort from the Netherlands.
  • Researchers tracked individuals with MS and control participants to calculate polygenic risk scores (PRS) based on genetic variants linked to MS.
  • Results revealed that individuals in the highest genetic risk group had a significantly higher likelihood of developing MS compared to those in the lowest risk group, highlighting the strong impact of genetics on MS susceptibility.
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  • Osteoarthritis (OA) is a painful joint disease related to neuroimmune interactions, with macrophages in the dorsal root ganglia (DRG) contributing to OA pain in animal models.
  • In experiments, researchers depleted certain macrophages in male and female mice using a specific drug to assess changes in pain behaviors and joint damage following two types of joint surgeries.
  • Results showed that macrophage depletion reduced pain symptoms in both male and female mice but did not affect cartilage damage or inflammation levels, while specific types of macrophages in the DRG were significantly decreased after treatment.
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  • The study aimed to explore how social determinants of health (SDOH) disparities affect outcomes like emergency department visits and postoperative complications after hip surgery, using a large national database.
  • Researchers matched patients with SDOH disparities to those without, analyzing data from 2015 to 2022, focusing on various health indicators and outcomes.
  • Results showed no significant differences in immediate complications or emergency visits between groups, but patients with SDOH disparities had a higher 5-year revision hip arthroscopy rate, indicating long-term impact.
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Purpose: Hypo-reflective clumps (HRCs) are structures associated with age-related macular degeneration (AMD) that were identified using flood-illumination adaptive optics ophthalmoscopy (FIAO) and hypothesized to be either macrophages that have accumulated melanin through the phagocytosis of retinal pigmented epithelial (RPE) cell organelles or transdifferentiated RPE cells. HRCs may be autofluorescent (AF) in the near infrared (NIR) but clinical NIR autofluorescence imaging lacks the resolution to answer this question definitively. Here, we used near infrared autofluorescence (NIRAF) imaging in fluorescence adaptive optics scanning laser ophthalmoscopy (AOSLO) to determine whether HRCs are AF.

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This study introduces a new imaging, spatial transcriptomics (ST), and single-cell RNA-sequencing integration pipeline to characterize neoplastic cell state transitions during tumorigenesis. We applied a semi-supervised analysis pipeline to examine premalignant pancreatic intraepithelial neoplasias (PanINs) that can develop into pancreatic ductal adenocarcinoma (PDAC). Their strict diagnosis on formalin-fixed and paraffin-embedded (FFPE) samples limited the single-cell characterization of human PanINs within their microenvironment.

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Purpose: To explore the contributions of fundus autofluorescence (FAF) topographic imaging features to the performance of convolutional neural network-based deep learning (DL) algorithms in predicting geographic atrophy (GA) growth rate.

Methods: Retrospective study with data from study eyes from three clinical trials (NCT02247479, NCT02247531, NCT02479386) in GA. The algorithm was initially trained with full FAF images, and its performance was considered benchmark.

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