Lateralizing Value of Artificial Intelligence-Based Segmentation Software in MRI-Negative Focal Epilepsy.

Background And Purpose: The magnetic resonance images (MRIs) ability of lesion detection in epilepsy is crucial for a diagnosis and surgical outcome. Using automated artificial intelligence (AI)-based tools for measuring cortical thickness and brain volume originally developed for dementia, we aimed to identify whether it could lateralize epilepsy with normal MRIs.

Methods: Non-lesional 3-Tesla MRIs of 428 patients diagnosed with focal epilepsy, based on semiology and electroencephalography findings, were analyzed.

Obesity and Polycystic Ovary Syndrome.

The core pathophysiology of polycystic ovary syndrome involves an overproduction of androgens primarily originating from ovarian thecal cells. Two major external triggers promote androgen overproduction in the ovaries: the increased secretion of luteinizing hormone, a consequence of aberrant hypothalamic gonadotropin-releasing hormone secretion dynamics, and compensatory hyperinsulinemia resulting from insulin resistance. Obesity interacts with polycystic ovary syndrome in multiple ways, but a major role of obesity in its pathophysiology is the exacerbation of insulin resistance.

Evaluation of prediction errors in nine intraocular lens calculation formulas using an explainable machine learning model.

Background: The purpose of the study was to evaluate the relationship between prediction errors (PEs) and ocular biometric variables in cataract surgery using nine intraocular lens (IOL) formulas with an explainable machine learning model.

Methods: We retrospectively analyzed the medical records of consecutive patients who underwent standard cataract surgery with a Tecnis 1-piece IOL (ZCB00) at a single center. We calculated predicted refraction using the following IOL formulas: Barrett Universal II (BUII), Cooke K6, EVO V2.

Association Between Longer Cecal Intubation Time and Detection and Miss Rate of Colorectal Neoplasms.

A longer cecal intubation time (CIT) occurs during colonoscopy under difficult insertion conditions, which may hinder meticulous mucosal observation. However, whether a longer CIT has detrimental effects on the detection of adenomas remains unclear. We evaluated the effects of CIT on the detection and miss rates of colorectal neoplasms in asymptomatic participants.

Comparison of Population Attributable Fractions of Cancer Incidence and Mortality Linked to Excess Body Weight in Korea from 2015 to 2030.

Backgruound: The increasing rate of excess body weight (EBW) in the global population has led to growing health concerns, including cancer-related EBW. We aimed to estimate the population attributable fraction (PAF) of cancer incidence and deaths linked to EBW in Korean individuals from 2015 to 2030 and to compare its value with various body mass index cutoffs.

Methods: Levin's formula was used to calculate the PAF; the prevalence rates were computed using the Korean National Health and Nutrition Examination Survey data, while the relative risks of specific cancers related to EBW were estimated based on the results of Korean cohort studies.

Artificial intelligence-based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus.

Aim/introduction: We assess the efficacy of artificial intelligence (AI)-based, fully automated, volumetric body composition metrics in predicting the risk of diabetes.

Materials And Methods: This was a cross-sectional and 10-year retrospective longitudinal study. The cross-sectional analysis included health check-up data of 15,330 subjects with abdominal computed tomography (CT) images between January 1, 2011, and September 30, 2012.

Estimation of Population Attributable Fraction by Hormone and Reproductive Factors on Female Cancer in the Republic of Korea, 2015 to 2030.

Purpose: Population attributable fractions (PAFs) for hormone and reproductive factors have been estimated in several countries. IARC designated as Group 1 and Group 2A carcinogen for hormone factors in breast, ovarian, endometrial and uterine cervix cancer. This study aimed to estimate the PAFs of hormone/reproductive factor attributed to cancer incidence and deaths in Korean women and projected trends from 2015 to 2030.

Associations of Retinal Vessel Geometry and Optical Coherence Tomography Angiography Metrics With Choroidal Metrics in Diabetic Retinopathy.

Purpose: To elucidate the mechanism underlying changes in choroidal metrics (choroidal thickness [CT], choroidal vascularity index [CVI], and choriocapillaris [CC] flow deficit [FD]) observed in diabetic retinopathy (DR) and examine the association of choroidal metrics with both retinal vessel geometry and optical coherence tomography angiography (OCTA) metrics.

Methods: Overall, 133 eyes of 133 patients were analyzed retrospectively. Retinal vessel geometry parameters were assessed using semiautomated software.

Gender- and Age-Group Specific Association of Persistent Organic Pollutants (POPs) Exposure with Diabetes Mellitus: Korean National Environmental Health Survey (KoNEHS) 2015-2017.

Exposure to persistent organic pollutants (POPs) has been reported as a potential risk factor for diabetes in adults. However, effect modifications by sex and age, especially among Asian populations, have seldom been investigated. In the present study, we assessed associations of major POPs exposure including organochlorine pesticides (OCPs), polychlorinated biphenyls (PCBs), and polybrominated diphenyl ethers (PBDEs), with diabetes in Korean adults ( = 1,295), a subset of the Korean National Environmental Health Survey (KoNEHS) Cycle 3 (2015-2017).

Agreement in anterior segment measurements between swept-source optical coherence and dual Scheimpflug tomography devices in keratoconus eyes.

Purpose: To evaluate the agreement of ocular biometry measured using a swept-source optical coherence (Casia 2) and a dual Scheimpflug (Galilei G6) tomography in keratoconus.

Methods: This retrospective study included 102 eyes from 102 keratoconus patient examined using both devices. Parameters compared included flat (Kf) and steep (Ks) keratometry, astigmatism of anterior, posterior, and total keratometry, central (CCT) and thinnest (TCT) corneal thickness.

Accelerated bone loss in late reproductive-aged and perimenopausal women with vitamin D insufficiency.

Introduction: The association between serum vitamin D levels and bone mineral density (BMD) varies by race and gender. This study aimed to evaluate this relationship between serum vitamin D levels and BMD, and changes of BMD over time in Korean women.

Materials And Methods: We analyzed data from 586 generally healthy Korean women aged 29-79 who underwent health check-ups at Seoul National University Gangnam Center between 2010 and 2011 (baseline measurement) and 2015-2016 (follow-up).

Use of Machine Learning to Predict Onset of NAFLD in an All-Comers Cohort-Development and Validation in 2 Large Asian Cohorts.

Background And Aims: Nonalcoholic fatty liver disease (NAFLD) is one of the most common liver diseases. There are no universally accepted models that accurately predict time to onset of NAFLD. Machine learning (ML) models may allow prediction of such time-to-event (ie, survival) outcomes.

Clonal hematopoiesis with DNMT3A mutations is associated with multiple system atrophy.

Background: Clonal hematopoiesis of indeterminate potential (CHIP) is associated with cardiovascular diseases and other disorders, possibly via inflammation. Recent research suggests a connection of CHIP with neurodegenerative disorders.

Objective: We aimed to investigate the association between multiple system atrophy (MSA) and CHIP.

Prognosis prediction and immunotherapy optimisation for cryptogenic new-onset refractory status epilepticus.

Background: Cryptogenic new-onset refractory status epilepticus (cNORSE) currently lacks comprehensive knowledge regarding its clinical dynamics, prognostic factors and treatment guidance. Here we present the longitudinal clinical profiles, predictive factors for outcomes and the optimal duration of immunotherapy in patients with cNORSE.

Methods: This retrospective secondary endpoint analysis investigated patients with cNORSE identified from a prospective autoimmune encephalitis cohort at a national referral centre in Korea.

Fenofibrate to prevent amputation and reduce vascular complications in patients with diabetes: FENO-PREVENT.

Background: The potential preventive effect of fenofibrate on lower extremity amputation (LEA) and peripheral arterial disease (PAD) in patients with type 2 diabetes (T2D) is not fully elucidated.

Methods: We selected adult patients ≥ 20 years of age with T2D from the Korean National Health Insurance Service Database (2009-2012). The fenofibrate users were matched in a 1:4 ratio with non-users using propensity scores (PS).

Increased coherence predicts medical refractoriness in patients with temporal lobe epilepsy on monotherapy.

Among patients with epilepsy, 30-40% experience recurrent seizures even after adequate antiseizure medications therapies, making them refractory. The early identification of refractory epilepsy is important to provide timely surgical treatment for these patients. In this study, we analyze interictal electroencephalography (EEG) data to predict drug refractoriness in patients with temporal lobe epilepsy (TLE) who were treated with monotherapy at the time of the first EEG acquisition.