Publications by authors named "Joon Y Choi"

Background: The benefits of pulmonary rehabilitation (PR) for patients with idiopathic pulmonary fibrosis (IPF) have been limited to improving dyspnea, exercise capacity, and quality of life (QoL). This study aimed to assess the current status of PR and its effect on prognosis.

Methods: The Nationwide Korean Health Insurance Review and Assessment Service (HIRA) database was used in this study.

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Lung cancer is a malignant tumor with high incidence and mortality rates in both men and women worldwide. Although anticancer drugs are prescribed to treat lung cancer patients, individual responses to these drugs vary, making it crucial to identify the most suitable treatment for each patient. Therefore, it is necessary to develop an anticancer drug efficacy prediction model that can analyze drug efficacy before patient treatment and establish personalized treatment strategies.

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The COVID-19 pandemic has profoundly affected global health system, significantly altering not only the acute management of viral infection, but also management strategies for chronic diseases. This study aimed to investigate the impact of COVID-19 infection on exacerbation rates and the economic burden in patients with COPD. We conducted a retrospective cohort study using data from the national insurance reimbursement data of South Korea.

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The study investigates the prognostic value of [F]fluorodeoxyglucose (FDG) PET/CT in patients with idiopathic pulmonary fibrosis (IPF). A total of 346 IPF patients who underwent FDG PET/CT between 2007 and 2020 were analyzed. Pulmonary FDG uptake [target to background ratio (TBR)] was binarized by optimal cut-off value based on survival analysis.

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Fibroblast activation protein inhibitors (FAPIs) labeled with gallium-68 and lutetium-177 show potential for use in the diagnosis and treatment of various cancers expressing FAP. However, Lu-labeled FAPIs often exhibit short tumor retention time, limiting their therapeutic applications. To improve tumor retention, we synthesized three radiolabeled dimeric FAPIs, [F], [Cu], and [Ga].

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Texture analysis generates image parameters from F-18 fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT). Although some parameters correlate with tumor biology and clinical attributes, their types and implications can be complex. To overcome this limitation, pseudotime analysis was applied to texture parameters to estimate changes in individual sample characteristics, and the prognostic significance of the estimated pseudotime of primary tumors was evaluated.

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Background: This study explores the link between muscle mass decline and lung function deterioration, which can worsen respiratory health by reducing exercise capacity and quality of life. The relationship between muscle mass index (MMI) changes and lung function in the general population remains unclear, especially as muscle mass fluctuates with aging. We aimed to clarify this dynamic relationship by examining how changes in muscle mass impact pulmonary function and the development of respiratory symptoms.

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  • A significant portion of lung cancer cases is linked to air pollution, which the WHO has classified as a human carcinogen, leading to the establishment of monitoring systems for particulate matter (PM) in the air.
  • Exposure to PM is associated with oxidative stress and DNA damage, contributing to cancer development, with epidemiological studies indicating a dose-response relationship between PM and lung cancer risk.
  • There's a strong correlation between ambient PM and adenocarcinoma, highlighting the need for both global emission control efforts and individualized prevention strategies for those at risk of PM-related lung cancer.
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  • Oculomics is a new field that uses eye studies to identify systemic diseases like osteoporosis, aiming to create a cost-effective risk prediction tool utilizing ophthalmological data and AI technology.
  • The research hypothesizes that combining eye data with AI regression models from ChatGPT-4 will enhance the accuracy of osteoporosis risk predictions, leading to earlier detection and personalized prevention strategies.
  • Results showed that the AI-powered models, which included various risk factors, outperformed traditional diagnostic methods, achieving a strong area under the curve value indicating effective prediction capabilities.
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Background: For patients who achieve pathologic complete response (pCR) after neoadjuvant chemotherapy with trastuzumab (T) and pertuzumab (P), the benefit of adding P to T remains uncertain. We compared survival outcomes according to the type of adjuvant anti-HER2 therapy in patients with pCR after chemotherapy with TP.

Method: Patients who achieved pCR in both the breast and axilla after neoadjuvant chemotherapy with TP were included.

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Previous studies suggest associations between the risk of developing chronic obstructive pulmonary disease (COPD) and adiponectin/leptin (ALR) and apolipoprotein B/A1 (APOR) ratios. This longitudinal observational study, using data from the Korean Genome and Epidemiology Study (KoGES), examined the rate of lung function decline, risk factors for the airflow obstruction (AFO), and the time to first AFO based on ALR and APOR groups. Among 5578 participants, high ALR and low APOR were associated with rapid decline in lung function and a shorter time to the first AFO.

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  • - The study investigated the clinical features and outcomes of younger patients with idiopathic pulmonary fibrosis (IPF), focusing on those under 50 years old compared to older age groups.
  • - Data was analyzed from the National Korean Health Insurance database, revealing that younger IPF patients had fewer comorbidities and were more likely to receive systemic steroids instead of antifibrotic treatments like pirfenidone.
  • - Despite younger patients having a lower mortality risk and no significant increase in acute exacerbation risk, there's a need for better-targeted treatments, including more frequent use of antifibrotics, to improve their health outcomes.
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  • A study investigated the genetic factors linked to a rapid decline in forced expiratory volume in 1 second (FEV1), which is a key indicator of chronic obstructive pulmonary disease (COPD), using data from 6,516 participants in the Korean Genome and Epidemiology Study.
  • Researchers defined a rapid decline in FEV1 as a decrease of 60 mL or more per year and examined the associations between specific genetic variants (SNPs) and this decline, taking into account participants' smoking histories.
  • The analysis identified 15 significant genetic variants associated with rapid FEV1 decline, including notable SNPs rs16951883 for never smokers and rs10959478 for ever smokers, highlighting the influence of genetics
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  • Air pollution, particularly particulate matter (PM), has a significant effect on chronic respiratory diseases like COPD, but its specific impact on asthma-COPD overlap (ACO) is not well understood.
  • The study created two animal models to represent different types of COPD—one related to smoking (COPD-C) and the other combining smoking with asthma (COPD-A) —and analyzed the effects of PM exposure on these models.
  • Results showed that PM exposure increased lung inflammation and tissue damage in both models, with COPD-A being particularly susceptible to oxidative stress and cell damage.
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  • - The study investigates changes in the optic chiasm volume (OCV) and its effect on visual processing recovery in patients with traumatic brain injury (TBI), utilizing comparisons over a year with healthy controls and analyzing data from 42 TBI patients.
  • - Results show that patients with TBI have a significantly larger OCV than healthy controls, and this increased volume is negatively related to their process speed index (PSI) at 12 months post-injury, suggesting slower cognitive processing.
  • - The research highlights the potential for using early OCV measurements to predict cognitive recovery outcomes, providing valuable insights for clinicians in developing rehabilitation strategies for TBI patients.
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Background: Accurate spirometry interpretation is critical in the diagnosis and management of COPD. With increasing efforts for a unified approach by the Global Lung Function Initiative (GLI), this study evaluated the application of race-specific 2012 GLI and race-neutral 2022 GLI reference equations compared with Choi's reference equations, which are derived and widely used in South Korea, for spirometry interpretation in Northeast Asian patients with COPD.

Research Question: What are the effects of applying race-specific 2012 GLI, race-neutral 2022 GLI, and Choi's reference equations on the diagnosis, severity grade, and clinical outcome associations of COPD?

Study Design And Methods: Serial spirometry data from the Korea COPD Subgroup Study (KOCOSS) consisting of 3,477 patients were used for reanalysis using 2012 GLI, 2022 GLI, and Choi's reference equations.

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  • The study investigates the effectiveness of medical thoracoscopy (MT) in confirming tuberculosis (TB) pleurisy through microbiological testing, highlighting its importance in clinical diagnosis due to the low bacterial presence in such cases.
  • A total of 72 patients were reviewed, revealing that sensitivities of AFB culture and TB-PCR increased significantly when using targeted pleural washing fluid and pleural tissues collected during MT compared to pre-MT pleural fluid.
  • The results demonstrated a 44.4% increase in the sensitivity for microbiological confirmation of TB pleurisy with MT, emphasizing its crucial role in accurate diagnosis.
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Introduction: Chronic obstructive pulmonary disease (COPD) has traditionally been diagnosed based on the criterion of an FEV/FVC <0.70. However, this definition has limitations as it may only detect patients with later-stage disease, when pathologic changes have become irreversible.

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Asthma is a chronic inflammatory airway disease with significant burden; exacerbations can severely affect quality of life and healthcare costs. Advances in big data analysis and artificial intelligence have made it easier to predict future exacerbations more accurately. This study used an integrated dataset of Korean National Health Insurance, meteorological, air pollution, and viral data from national public databases to develop a model to predict asthma exacerbations on a daily basis in South Korea.

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  • A scoring system for assessing glaucoma risk was created using demographic and lab data, employing a no-code approach with ChatGPT-4 to simplify the process.
  • The tool predicts glaucoma risk through logistic regression and has shown predictive performance similar to traditional machine learning methods.
  • High-risk groups were identified with specific odds ratios (ORs), demonstrating the effectiveness of the scoring system in clinical settings for better glaucoma detection.
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  • The study aimed to create a machine-learning framework using advanced 3D MRI data to improve the diagnosis of focal cortical dysplasia (FCD), a condition linked to epilepsy.
  • Researchers analyzed data from 119 participants, including patients with FCD and healthy controls, utilizing whole-brain MRI scans to gather crucial metrics for classification.
  • The results showed high effectiveness of the machine-learning models in distinguishing FCD from healthy and disease controls, with performance metrics significantly surpassing traditional MRI evaluations.
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Purpose: Although rapid cognitive decline (RCD) is an important unfavorable prognostic factor, not much is known about it, especially in amyloid-negative individuals. The purpose of this study was to investigate risk factors for RCD in amyloid-negative individuals.

Patients And Methods: We retrospectively enrolled 741 individuals who were either cognitively unimpaired or had early-stage cognitive ability loss and who underwent 18 F-florbetaben (FBB) (n = 402) or 18 F-flutemetamol (FMM) (n = 339) PET/CT.

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The aim of our retrospective study is to develop and assess an imaging-based model utilizing F-FDG PET parameters for predicting the five-year survival in non-small-cell lung cancer (NSCLC) patients after curative surgery. A total of 361 NSCLC patients who underwent curative surgery were assigned to the training set ( = 253) and the test set ( = 108). The LASSO regression model was used to construct a PET-based risk score for predicting five-year survival.

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Immunotherapy is likely the most remarkable advancement in lung cancer treatment during the past decade. Although immunotherapy provides substantial benefits, their therapeutic responses differ from those of conventional chemotherapy and targeted therapy, and some patients present unique immunotherapy response patterns that cannot be judged under the current measurement standards. Therefore, the response monitoring of immunotherapy can be challenging, such as the differentiation between real response and pseudo-response.

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