Background and Objectives: This study conducted a comprehensive bibliometric analysis of articles published in the Journal of Rhinology (JR), the official journal of the Korean Rhinologic Society, to examine research trends, thematic evolution, and emerging hotspots in rhinology. Methods: A total of 836 JR articles (1994–2025) were retrieved from PubMed and Research Information Sharing Service (RISS) after duplicate removal. The R bibliometrix package was used to perform keyword trend and thematic evolution analyses. VOSviewer was used to visualize keyword co-occurrence networks and temporal relationships between keywords. Gephi was used to calculate centrality measures, providing insight into the structural characteristics of the research network. Results: From 1994 to 2025, JR published an average of 26.6 articles per year, with publication activity increasing in recent years. Keyword and thematic analyses demonstrated that the research focus gradually shifted from basic disease- and anatomy-related topics and traditional clinical themes in the 2010s to functional conditions, infectious diseases, and increasingly surgical, procedural, and methodological research after 2020, while “rhinitis” and “sleep apnea syndromes” were consistently addressed. Co-occurrence analysis further identified “endoscopy” as a central keyword, highlighting its continued importance in JR research. Conclusion The articles published in JR encompass a broad spectrum of rhinology research, integrating disease pathophysiology, clinical applications, surgical techniques, and evidence-based approaches. These findings highlight evolving research trends and provide guidance for future domestic and international studies in rhinology.

Background/Aims: Cardiovascular disease remains a major cause of mortality in patients with metabolic dysfunction-associated steatotic liver disease (MASLD). This study evaluated the association between subclinical carotid atherosclerosis (SCA) and MASLD or MASLD and increased alcohol intake (MetALD) in asymptomatic individuals. Methods: This cross-sectional study included 56,889 adults undergoing health check-ups in South Korea. Hepatic steatosis was diagnosed by ultrasound, and SCA was defined by carotid plaques or increased intima-media thickness. Liver fibrosis was evaluated using the fibrosis-4 index and elastography. Results: SCA was identified in 13.5%. MASLD and MetALD were significantly associated with SCA in models adjusted for demographic and lifestyle factors (adjusted odds ratio [aOR], 1.26;95% confidence interval [CI], 1.19 to 1.33; aOR, 1.43; 95% CI, 1.30 to 1.58; respectively, p<0.001for both). However, these associations attenuated and lost statistical significance when metabolic risk factors were further adjusted. The risk of SCA increased with greater hepatic steatosis and liver fibrosis severity. In patients with MASLD, aORs were 1.70 (hepatic steatosis index >36),1.23 (fibrosis-4 index ≥1.3), and 1.78 (liver stiffness measurement ≥5.6 kPa), compared to indi-viduals without MASLD. Similar trends were observed in the MetALD group. Additionally, hyper-tension and clustering of ≥3 cardiometabolic risk factors were significantly associated with SCA inthe MASLD group, supporting the role of metabolic burden in SCA development. Conclusions MASLD and MetALD were associated with increased SCA risk, particularly in individuals with hepatic steatosis and fibrosis. These findings suggest that metabolic burden and liver disease severity jointly contribute to subclinical atherosclerosis risk.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Olfactory receptors (ORs), which are primarily responsible for olfactory sensation in the nasal epithelium, constitute the largest family of genes in the human genome. The majority of ORs are orphan receptors with unknown ligands; however, recent studies have revealed their expression in non-olfactory tissues, implying that ORs may be involved in various physiological processes beyond olfaction. This review highlights recent findings on the roles of ORs in cancers, including prostate, breast, and lung cancer, as well as their involvement in other diseases, such as atherosclerosis, Alzheimer's disease, and viral infections. Additionally, we explore emerging knowledge about the role of ORs in metabolic regulation, focusing on their effect on triglyceride metabolism, glucagon-like peptide-1 secretion, and lipid accumulation. Advancements in technology, such as structural analysis, have accelerated research on OR ligands and their functions, potentially positioning ORs as novel therapeutic targets for various diseases. This review highlights the need for further research into the non-olfactory roles of ORs and their potential as targets for future therapeutic interventions.

Background and Objectives: Cardiac resynchronization therapy (CRT) is a treatment option for patients with heart failure and left ventricular (LV) dyssynchrony. However, one-third of CRT patients are non-responders. The objective of this study is to evaluate the feasibility of an in silico electromechanical heart model to predict CRT outcomes. Methods: The three-dimensional heart geometries of 11 patients (age, 64.0 ± 10.7 years, 4 men) with CRT were constructed from cardiac computed tomography images. The finite element method was used to simulate the electrical wave propagation and mechanics in the heart. We coupled cardiac electrical excitation and mechanical contraction with vascular hemodynamics using a lumped parameter model. We predicted the LV end-diastolic and end-systolic volumes and LV ejection fraction (LVEF) after CRT implantation using the in silico CRT simulation model. A CRT responder was defined as a patient with an absolute LVEF increase ≥ 5%. We compared the in silico CRT outcomes with the real CRT outcomes. Results: Two patients were in silico CRT responders, and those 2 patients were also real CRT responders. Nine patients were in silico CRT non-responders, 8 who were real CRT non-responders, and 1 who was a real CRT responder. The in silico CRT outcomes agreed with the real CRT outcomes in 10 of 11 patients. The positive and negative predictive values, accuracy, sensitivity, and specificity of the in silico CRT model were 100%, 88.9%, 90.9%, 66.7%, and 100%, respectively. Conclusion The in silico CRT simulation model is feasible for predicting real CRT outcomes.

Objective: To develop a deep-learning-based bone age prediction model optimized for Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich-Pyle-based deep-learning model. Materials and Methods: A convolutional neural network was trained to predict age according to the bone development shown on a hand radiograph (bone age) using 21036 hand radiographs of Korean children and adolescents without known bone development-affecting diseases/conditions obtained between 1998 and 2019 (median age [interquartile range {IQR}], 9 [7–12] years; male:female, 11794:9242) and their chronological ages as labels (Korean model). We constructed 2 separate external datasets consisting of Korean children and adolescents with healthy bone development (Institution 1: n = 343;median age [IQR], 10 [4–15] years; male: female, 183:160; Institution 2: n = 321; median age [IQR], 9 [5–14] years; male:female, 164:157) to test the model performance. The mean absolute error (MAE), root mean square error (RMSE), and proportions of bone age predictions within 6, 12, 18, and 24 months of the reference age (chronological age) were compared between the Korean model and a commercial model (VUNO Med-BoneAge version 1.1; VUNO) trained with Greulich-Pyle-based age as the label (GP-based model). Results: Compared with the GP-based model, the Korean model showed a lower RMSE (11.2 vs. 13.8 months; P = 0.004) and MAE (8.2 vs. 10.5 months; P = 0.002), a higher proportion of bone age predictions within 18 months of chronological age (88.3% vs. 82.2%; P = 0.031) for Institution 1, and a lower MAE (9.5 vs. 11.0 months; P = 0.022) and higher proportion of bone age predictions within 6 months (44.5% vs. 36.4%; P = 0.044) for Institution 2. Conclusion The Korean model trained using the chronological ages of Korean children and adolescents without known bone development-affecting diseases/conditions as labels performed better in bone age assessment than the GP-based model in the Korean pediatric population. Further validation is required to confirm its accuracy.

Background: Cardiac resynchronization therapy (CRT) is an effective treatment option for patients with heart failure (HF) and left ventricular (LV) dyssynchrony. However, the problem of some patients not responding to CRT remains unresolved. This study aimed to propose a novel in silico method for CRT simulation. Methods: Three-dimensional heart geometry was constructed from computed tomography images. The finite ele‑ ment method was used to elucidate the electric wave propagation in the heart. The electric excitation and mechani‑ cal contraction were coupled with vascular hemodynamics by the lumped parameter model. The model parameters for three-dimensional (3D) heart and vascular mechanics were estimated by matching computed variables with measured physiological parameters. CRT effects were simulated in a patient with HF and left bundle branch block (LBBB). LV end-diastolic (LVEDV) and end-systolic volumes (LVESV), LV ejection fraction (LVEF), and CRT responsiveness measured from the in silico simulation model were compared with those from clinical observation. A CRT responder was defined as absolute increase in LVEF ≥ 5% or relative increase in LVEF ≥ 15%. Results: A 68-year-old female with nonischemic HF and LBBB was retrospectively included. The in silico CRT simu‑ lation modeling revealed that changes in LVEDV, LVESV, and LVEF by CRT were from 174 to 173 mL, 116 to 104 mL, and 33 to 40%, respectively. Absolute and relative ΔLVEF were 7% and 18%, respectively, signifying a CRT responder.In clinical observation, echocardiography showed that changes in LVEDV, LVESV, and LVEF by CRT were from 162 to 119 mL, 114 to 69 mL, and 29 to 42%, respectively. Absolute and relative ΔLVESV were 13% and 31%, respectively, also signifying a CRT responder. CRT responsiveness from the in silico CRT simulation model was concordant with that in the clinical observation. Conclusion This in silico CRT simulation method is a feasible technique to screen for CRT non-responders in patients with HF and LBBB.