140 Result(s)
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Article
You** Park
Internal Medicine
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Article
Correction to: Residual risks of comorbidities after parathyroidectomy in a nationwide cohort of patients with primary hyperparathyroidism
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Open AccessUsefulness of the mini nutritional assessment short-form for evaluating nutritional status in patients with nontuberculous mycobacterial pulmonary disease: a prospective cross-sectional study
Although the Mini Nutritional Assessment (MNA) is recognized as a useful tool for evaluating nutritional status in patients with various diseases, its applicability in patients with nontuberculous mycobacteria...
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Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT
To develop and validate a deep learning model for predicting hemorrhagic transformation after endovascular thrombectomy using dual-energy computed tomography (CT).
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Open AccessPharmacokinetics of a Fixed-Dose Combination Product of Amlodipine, Losartan, Ezetimibe, and Rosuvastatin and Its Comparison with Co-administration of Four Individual Components in Healthy Participants
This study aimed to assess and compare the pharmacokinetics, safety, and tolerability of a fixed-dose combination product (FDCP) comprising four different drugs (two antihypertensive drugs, amlodipine and losa...
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Open AccessSynovial fluid monocyte-to-lymphocyte ratio in knee osteoarthritis patients predicts patient response to conservative treatment: a retrospective cohort study
Biomarkers that predict the treatment response in patients with knee osteoarthritis are scarce. This study aimed to investigate the potential role of synovial fluid cell counts and their ratios as biomarkers o...
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Difference in functional connectivity between end-stage renal disease patients with and without restless legs syndrome: A prospective study
The purpose of this study was to examine differences in functional connectivity between patients with end-stage renal disease (ESRD) with and without restless legs syndrome (RLS). In addition, the study aimed ...
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Reducing false positives in deep learning–based brain metastasis detection by using both gradient-echo and spin-echo contrast-enhanced MRI: validation in a multi-center diagnostic cohort
To develop a deep learning (DL) for detection of brain metastasis (BM) that incorporates both gradient- and turbo spin-echo contrast-enhanced MRI (dual-enhanced DL) and evaluate it in a clinical cohort in comp...
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Open AccessAI analytics can be used as imaging biomarkers for predicting invasive upgrade of ductal carcinoma in situ
To evaluate whether the quantitative abnormality scores provided by artificial intelligence (AI)-based computer-aided detection/diagnosis (CAD) for mammography interpretation can be used to predict invasive up...
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Achieving imaging and computational reproducibility on multiparametric MRI radiomics features in brain tumor diagnosis: phantom and clinical validation
The Image Biomarker Standardization Initiative has helped improve the computational reproducibility of MRI radiomics features. Nonetheless, the MRI sequences and features with high imaging reproducibility are ...
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Stabilization of MOF (KAT8) by USP10 promotes esophageal squamous cell carcinoma proliferation and metastasis through epigenetic activation of ANXA2/Wnt signaling
Dysregulation of MOF (also known as MYST1, KAT8), a highly conserved H4K16 acetyltransferase, plays important roles in human cancers. However, its expression and function in esophageal squamous cell carcinoma ...
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Open AccessReview of Adalimumab Biosimilar SB5 in Immune-Mediated Inflammatory Diseases
SB5 is an approved biosimilar of adalimumab, a recombinant monoclonal anti-tumor necrosis factor (TNF) antibody. The approval of SB5 was based on the comparison with reference adalimumab in analytical studies,...
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Open AccessGastroparesis might not be uncommon in patients with diabetes mellitus in a real-world clinical setting: a cohort study
This study investigated the frequency of diabetic gastroparesis and associated risk factors in a real-world clinical setting.
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Open AccessUse of machine learning techniques for identifying ischemic stroke instead of the rule-based methods: a nationwide population-based study
Many studies have evaluated stroke using claims data; most of these studies have defined ischemic stroke using an operational definition following the rule-based method. Rule-based methods tend to overestimate...
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Development and validation of an automatic classification algorithm for the diagnosis of Alzheimer’s disease using a high-performance interpretable deep learning network
To develop and validate an automatic classification algorithm for diagnosing Alzheimer’s disease (AD) or mild cognitive impairment (MCI).
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Diagnostic performance of synthetic relaxometry for predicting neurodevelopmental outcomes in premature infants: a feasibility study
To investigate the predictability of synthetic relaxometry for neurodevelopmental outcomes in premature infants and to evaluate whether a combination of relaxation times with clinical variables or qualitative ...
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Prognostic value of TLR from FDG PET/CT in patients with margin-negative stage IB and IIA non-small cell lung cancer
To evaluate the prognostic value of TLR from PET/CT in patients with resection margin-negative stage IB and IIA non-small cell lung cancer (NSCLC) and compare high-risk factors necessitating adjuvant treatment...
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Defining subventricular zone involvement to predict the survival of patients in isocitrate dehydrogenase-wild type glioblastoma: validation in a prospective registry
The prognostic value of subventricular zone distance (SVD) is unclear because of different definitions and lack of evaluation of clinical survival models. The aim of this study was to define SVD and evaluate i...
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Clinical characteristics and long-term outcomes of rhabdomyosarcoma in Korean children, adolescents and young adults: a single-center experience
This study aimed to analyze characteristics, treatment, long-term outcomes, and prognostic factors for children, adolescents and young adults with rhabdomysosarcoma (RMS).
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Brown fat activation demonstrated on FDG PET/CT predicts survival outcome
The purpose of this study was to compare the survival of patients with and without BAT activity on FDG PET/CT.
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Performance of free-breathing dynamic T1-weighted sequences in patients at risk of develo** motion artifacts undergoing gadoxetic acid–enhanced liver MRI
To evaluate the recall rate and performance of free-breathing T1W dynamic imaging in patients who underwent gadoxetic acid–enhanced liver MRI.
