Tumor-initiating genetics and therapy drive divergent molecular evolution in IDH-mutant gliomas.

Astrocytomas and oligodendrogliomas are slow-growing and treatment-sensitive IDH-mutant gliomas diagnosed at ages 30-50. Local tumor regrowth and treatment resistance is inevitable resulting in 3-10 year astrocytoma and up to >20 years oligodendroglioma survival. We sought to identify genetic changes associated with tumor evolution in response to therapy through multi-timepoint whole-genome/whole-exome sequencing of 206 IDH-mutant glioma patient samples collected through the Glioma Longitudinal Analysis (GLASS) Consortium.

Long-term outcomes of laparoscopic distal gastrectomy for locally advanced gastric cancer: An individual patient data meta-analysis of KLASS-02 and CLASS-01 randomized controlled trials.

Objective: Laparoscopic distal gastrectomy (LDG) has potential as a surgical treatment option for locally advanced gastric cancer (LAGC). However, there is uncertainty regarding the generalizability of LDG efficacy across diverse patient populations and treatment settings. This study aimed to assess the outcomes of LDG .

X-ray CT metal artifact reduction using neural attenuation field prior.

Background: The presence of metal objects in computed tomography (CT) imaging introduces severe artifacts that degrade image quality and hinder accurate diagnosis. While several deep learning-based metal artifact reduction (MAR) methods have been proposed, they often exhibit poor performance on unseen data and require large datasets to train neural networks.

Purpose: In this work, we propose a sinogram inpainting method for metal artifact reduction that leverages a neural attenuation field (NAF) as a prior.

Structure Determination of Tegoprazan(()-4-((5,7-difluorochroman-4-yl)oxy)-,,2-trimethyl-1-benzo[]imidazole-6-formamide) Polymorphs A and B by Laboratory X-Ray Powder Diffraction.

Tegoprazan is a potassium ion-competitive acid blocker (P-CAB) and a novel inhibitor of gastric acid secretion. The compound exists in two crystalline polymorphs, A and B, whose structures had not previously been reported. In this study, both polymorphs were analyzed by liquid- and solid-state NMR, revealing identical tautomeric states.

App-Based Ecological Momentary Assessment of Problematic Smartphone Use During Examination Weeks in University Students: 6-Week Observational Study.

Background: The increasing prevalence of problematic smartphone use (PSU) among university students is raising concerns, particularly as excessive smartphone engagement is linked to negative outcomes such as mental health issues, academic underperformance, and sleep disruption. Despite the severity of PSU, its association with behaviors such as physical activity, mobility, and sociability has received limited research attention. Ecological momentary assessment (EMA), including passive data collection through digital phenotyping indicators, offers an objective approach to explore these behavioral patterns.

National validation of laparoscopic approach for locally advanced gastric cancer: Comparison of a randomized controlled trial and real-world practice results.

Objective: The laparoscopic approach for locally advanced gastric cancer has recently been adopted based on the results of several randomized controlled trials (RCTs). However, findings from RCTs have not been examined at the national level. This study aimed to investigate the external validity of the Korean Laparoscopic Gastrointestinal Surgery Study-02 (KLASS-02) trial involving 13 tertiary hospitals, using data from the Korean Gastric Cancer Association (KGCA)-led nationwide survey involving 68 tertiary or general hospitals.

A disintegrin and metallopeptidase domain (ADAM) 12, ADAM 17 mRNA and ADAM10 protein hold potential as biomarkers for detection of early gastric cancer.

No biomarker can effectively screen for early gastric cancer (EGC). Players in the A disintegrin and metalloproteinase (ADAM)-natural killer group 2 member D (NKG2D) receptor axis may have a role for that. As a proof-of-concept pilot study, the expression of ADAM8, ADAM9, ADAM10, ADAM12, ADAM17, and major histocompatibility complex (MHC) class I chain-related sequence A (MICA), a ligand for NKG2D, in gastric cancer was investigated in silico using The Cancer Genome Atlas (TCGA) database.

SrTiO and (Ba,Sr)TiO Films Epitaxially Grown on SrRuO Using Atomic Layer Deposition.

High dielectric constant () materials have been investigated to improve the performance of dynamic random access memory (DRAM) capacitors. However, the conventional binary oxides have reached their fundamental limit of < 100. In this study, we investigated alternative ternary oxides, SrTiO (STO) and (Ba,Sr)TiO (BSTO), which were epitaxially grown on SrRuO (SRO) using atomic layer deposition (ALD).

Study of active food processing technology using computer vision and AI in coffee roasting.

In the modern food processing industry, which is more complex than in the past, it is important to utilize real-time computer vision for active food processing technology using artificial intelligence. An integrated solution of computer vision and Deep Learning (DL) technology provides quality control and optimization of food processing in complex environments with obstacles. In this study, Coffee Bean Classification Model (CBCM) made by Machine Learning (ML) showed excellent performance, accurately distinguishing coffee beans through the avoidance of obstacles and empty spaces inside a rotating roasting machine.

Staged urethroplasty with groin full-thickness skin graft for managing complex anterior urethral strictures: surgical outcomes and predictive factors.

Purpose: To describe outcomes of staged-urethroplasty in complex anterior urethral strictures using full-thickness-skin-graft (FTSG) harvested from the hairless groin area, and to identify factors influencing successful outcomes.

Methods: Through retrospective chart review, we identified a total of 67 men who underwent the first-stage operation (grafting) using groin-FTSG for staged-urethroplasty to treat complex anterior urethral strictures unsuitable for one-stage urethroplasty. Among these, 59 underwent the second-stage operation (tubularization) at a median duration of 5.

Iterative reconstruction for limited-angle CT using implicit neural representation.

Limited-angle computed tomography (CT) presents a challenge due to its ill-posed nature. In such scenarios, analytical reconstruction methods often exhibit severe artifacts. To tackle this inverse problem, several supervised deep learning-based approaches have been proposed.

The Study of an Adaptive Bread Maker Using Machine Learning.

Bread is one of the most consumed foods in the world, and modern food processing technologies using artificial intelligence are crucial in providing quality control and optimization of food products. An integrated solution of sensor data and machine learning technology was determined to be appropriate for identifying real-time changing environmental variables and various influences in the baking process. In this study, the Baking Process Prediction Model (BPPM) created by data-based machine learning showed excellent performance in monitoring and analyzing real-time sensor and vision data in the baking process to predict the baking stages by itself.

Focused Ultrasound, an Emerging Tool for Atherosclerosis Treatment: A Comprehensive Review.

Focused ultrasound (FUS) has emerged as a promising noninvasive therapeutic modality for treating atherosclerotic arterial disease. High-intensity focused ultrasound (HIFU), a noninvasive and precise modality that generates high temperatures at specific target sites within tissues, has shown promising results in reducing plaque burden and improving vascular function. While low-intensity focused ultrasound (LIFU) operates at lower energy levels, promoting mild hyperthermia and stimulating tissue repair processes.

Automated Matching of Patients to Clinical Trials: A Patient-Centric Natural Language Processing Approach for Pediatric Leukemia.

Purpose: Matching patients to clinical trials is cumbersome and costly. Attempts have been made to automate the matching process; however, most have used a trial-centric approach, which focuses on a single trial. In this study, we developed a patient-centric matching tool that matches patient-specific demographic and clinical information with free-text clinical trial inclusion and exclusion criteria extracted using natural language processing to return a list of relevant clinical trials ordered by the patient's likelihood of eligibility.

Effect of Patient's Positioning on the Grade of Tendinosis and Visible Range of Infraspinatus Tendon on Ultrasound.

Purpose: To investigate the effect of patient positioning on tendinosis grade, visible range, and infraspinatus tendon (IST) thickness, and to determine the feasibility of internal rotation (IR) position to assess IST on ultrasound (US).

Materials And Methods: This study included 52 shoulders of 48 subjects who were evaluated for IST in three different positions: neutral position (N), IR, and position with the ipsilateral hand on the contralateral shoulder (HC). Two radiologists retrospectively graded IST tendinosis from grade 0 to grade 3 and the visible range from grade 1 to grade 4.

Sparsier2Sparse: Self-supervised convolutional neural network-based streak artifacts reduction in sparse-view CT images.

Background: Sparse-view computed tomography (CT) has attracted a lot of attention for reducing both scanning time and radiation dose. However, sparsely-sampled projection data generate severe streak artifacts in the reconstructed images. In recent decades, many sparse-view CT reconstruction techniques based on fully-supervised learning have been proposed and have shown promising results.

Lowering the percent body fat in the obese population might reduce male lower urinary tract symptoms.

Purpose: This study aimed to investigate the practicality of percent body fat (PBF), calculated using bioelectrical impedance analysis (BIA), in predicting benign prostatic hyperplasia/lower urinary tract symptoms (BPH/LUTS).

Methods: This study included 844 men who underwent medical checkups at our institution between 2014 and 2022. Demographic characteristics, serum PSA levels, and prostate volume were collected using TRUS.

Predictive Value of KLASS-02-QC Assessment Score on KLASS-02 Surgical Outcomes: Validation of Surgeon Quality Control and Standardization for D2 Lymphadenectomy.

Objective: The aim of this study was to audit the 22 items and assessed each item's predictive value on surgical outcomes.

Background: The KLASS-02 trial revealed that the oncologic outcomes of laparoscopic distal gastrectomy are not inferior to open distal gastrectomy in patients with advanced gastric cancer. The surgeons participating in this trial were chosen based on the assessment scores from the KLASS-02-QC trial, which used 22 items for standardization of D2 lymphadenectomy and quality control.

Standard follow-up after curative surgery for advanced gastric cancer: secondary analysis of a multicentre randomized clinical trial (KLASS-02).

Background: The benefit of regular follow-up after curative resection for gastric cancer is controversial as there is no evidence that it will improve survival. This study assessed whether regular follow-up leads to improved survival in patients after surgery for gastric cancer.

Methods: A secondary analysis was undertaken of patients who participated in an RCT of laparoscopic versus open distal gastrectomy for advanced gastric cancer between November 2011 and April 2015.

Interaction between the Gene and Nutritional Factors on NAFLD Development: The Korean Genome and Epidemiology Study.

Genetic and nutritional factors contribute to the development of non-alcoholic fatty liver disease (NAFLD); however, gene-diet interactions in NAFLD development are poorly understood. In this case-control study, a large dataset from the Korean Genome and Epidemiology Study cohort ( = 72,299) comprising genomic data, medical records, social history, and dietary data was used. We investigated the interactions between the rs738409 genotype and nutritional factors and their possible effect on the risk of NAFLD development in 2950 patients with NAFLD and 12,907 controls.

Nutrient-sensing mTORC1 and AMPK pathways in chronic kidney diseases.

Nutrients such as glucose, amino acids and lipids are fundamental sources for the maintenance of essential cellular processes and homeostasis in all organisms. The nutrient-sensing kinases mechanistic target of rapamycin (mTOR) and AMP-activated protein kinase (AMPK) are expressed in many cell types and have key roles in the control of cell growth, proliferation, differentiation, metabolism and survival, ultimately contributing to the physiological development and functions of various organs, including the kidney. Dysregulation of these kinases leads to many human health problems, including cancer, neurodegenerative diseases, metabolic disorders and kidney diseases.

Electroencephalographic Response of Brain Stimulation by Shock Waves From Laser Generated Carbon Nanotube Transducer.

Neuromodulation is used to treat neurological disorders. Focused ultrasound can deliver acoustic energy to local regions of the brain, including deep brain structures. In addition, it is possible to induce the activation or inhibition of nerves through parameter adjustments of focused ultrasound.