Generation of deep learning based virtual non-contrast CT using dual-layer dual-energy CT and its application to planning CT for radiotherapy.

This paper presents a novel approach for generating virtual non-contrast planning computed tomography (VNC-pCT) images from contrast-enhanced planning CT (CE-pCT) scans using a deep learning model. Unlike previous studies, which often lacked sufficient data pairs of contrast-enhanced and non-contrast CT images, we trained our model on dual-energy CT (DECT) images, using virtual non-contrast CT (VNC CT) images as outputs instead of true non-contrast CT images. We used a deterministic method to convert CE-pCT images into pseudo DECT images for model application.

Game-Based Digital Interventions for Enhancing Positive Development and Addressing Substance Use in Adolescents: A Systematic Review.

This study systematically reviewed research on the use of digital game approaches for the prevention, assessment, and treatment of substance use and positive development in adolescents. : This study aimed to identify and summarize gaps in the published literature on game-based digital interventions for substance use and positive development for adolescents through a systematic review. : Following PRISMA guidelines, 26 studies were selected for final analysis from an initial screening of 1601 references.

Intranasal Outer Cortex Splinting With a Kirschner Wire to Immobilize Reduced Buckle-out Segments in Nasal Fractures.

High-velocity lateral impacts to the nose sometimes cause nasal buckle-out fractures with a trapdoor buckle-out segment displaced outwards. Prolonged immobilization of a reduced buckle-out segment at risk for outward redisplacement remains challenging. Here we introduce a novel method of intranasal outer cortex splinting with a Kirshner (K)-wire to reinforce the reduced state and prevent outward re-displacement of the buckle-out segment.

Minimally invasive surgery versus open surgery in advanced stage endometrial cancer.

Aim: Staging surgery in early stage endometrial cancer has been shown to be feasible and safe with minimally invasive surgery (MIS) in many previous studies. However, there is limited literature on MIS's safety in advanced stages. This study aims to identify factors associated with survival in stage III endometrial cancer and investigate survival differences based on surgical approach.

Factors Associated with Metabolically Unhealthy Obesity and Its Relation to Food Insecurity in Korean Adults with Obesity.

Objectives: The association between food insecurity and metabolically unhealthy obesity (MUO) in the population with obesity is unclear. We evaluated factors associated with MUO and the relationship between food insecurity and MUO in individuals with obesity.

Methods: We analyzed data from 5191 adults with obesity (body mass index ≥ 25 kg/m) from the 8th Korea National Health and Nutrition Examination Survey 2019-2021.

Comparison of Malondialdehyde, Acetylcholinesterase, and Apoptosis-Related Markers in the Cortex and Hippocampus of Cognitively Dysfunctional Mice Induced by Scopolamine.

Until now, many researchers have conducted evaluations on hippocampi for analyses of cognitive dysfunction models using scopolamine. However, depending on the purposes of these analyses, there are differences in the experimental results for the hippocampi and cortexes. Therefore, this study intends to compare various analyses of cognitive dysfunction after scopolamine administration with each other in hippocampi and cortexes.

Extraction and evaluation of features of preterm patent ductus arteriosus in chest X-ray images using deep learning.

Echocardiography is the gold standard of diagnosis and evaluation of patent ductus arteriosus (PDA), a common condition among preterm infants that can cause hemodynamic abnormalities and increased mortality rates, but this technique requires a skilled specialist and is not always available. Meanwhile, chest X-ray (CXR) imaging is also known to exhibit signs of PDA and is a routine imaging modality in neonatal intensive care units. In this study, we aim to find and objectively define CXR image features that are associated with PDA by training and visually analyzing a deep learning model.

Printed Nanomaterials for All-in-One Integrated Flexible Wearables and Bioelectronics.

Recent advancements in printing technologies allow for fabricating various wearable sensors, circuits, and integrated electronics. However, most printing tools have limited ranges of handling ink viscosity, a short working distance, and a limited feature size for developing sophisticated electronics. Here, this paper introduces an all-in-one integrated wearable electronic system via multilayer, multinanomaterial printing.

Bidirectional Control of Emotional Behaviors by Excitatory and Inhibitory Neurons in the Orbitofrontal Cortex.

The orbitofrontal cortex (OFC) plays a crucial role in mood disorders; however, its specific role in the emotional behaviors of mice remains unclear. This study investigates the bidirectional control of emotional behaviors using population calcium dynamics and optogenetic manipulation of OFC neurons. Fiber photometry of OFC neurons revealed that OFC excitatory neurons consistently responded to the onset and offset of aversive conditions, showing decreased activation in response to anxiogenic and stressful stimuli, including tail suspension, restraint stress, and exposure to the center of the open field.

Revision of the Retracted Posttracheostomy Scar by Anatomical Restoration; Four Layer Closure.

Most tracheostomy scars are depressive and adherent to the underlying trachea, which causes up and down movement when swallowing. This tracheocutaneous tethering causes discomfort, pain, dysphagia, and bad appearance. A tracheocutaneous fistula may be accompanied.

Dual-encoder architecture for metal artifact reduction for kV-cone-beam CT images in head and neck cancer radiotherapy.

During a radiotherapy (RT) course, geometrical variations of target volumes, organs at risk, weight changes (loss/gain), tumor regression and/or progression can significantly affect the treatment outcome. Adaptive RT has become the effective methods along with technical advancements in imaging modalities including cone-beam computed tomography (CBCT). Planning CT (pCT) can be modified via deformable image registration (DIR), which is applied to the pair of pCT and CBCT.

Resolution-dependent MRI-to-CT translation for orthotopic breast cancer models using deep learning.

This study aims to investigate the feasibility of utilizing generative adversarial networks (GANs) to synthesize high-fidelity computed tomography (CT) images from lower-resolution MR images. The goal is to reduce patient exposure to ionizing radiation while maintaining treatment accuracy and accelerating MR image acquisition. The primary focus is to determine the extent to which low-resolution MR images can be utilized to generate high-quality CT images through a systematic study of spatial resolution-dependent magnetic resonance imaging (MRI)-to-CT image conversion.

Pediatric Early Warning Scores Before Rapid Response Poorly Predict Intensive Care Unit Transfers.

Background: The Pediatric Early Warning Score (PEWS) is a clinical tool used to identify children at risk for clinical deterioration, but its utility remains debated, particularly in high-resource settings. Our objective with this study was to assess the predictive performance of the PEWS for unplanned PICU transfers after pediatric rapid response team (RRT) activation.

Methods: A retrospective cohort study at a tertiary care academic children's hospital included all hospitalized patients up to 21 years old who had RRT activations between August 2021 and July 2022.

CT synthesis with deep learning for MR-only radiotherapy planning: a review.

MR-only radiotherapy planning is beneficial from the perspective of both time and safety since it uses synthetic CT for radiotherapy dose calculation instead of real CT scans. To elevate the accuracy of treatment planning and apply the results in practice, various methods have been adopted, among which deep learning models for image-to-image translation have shown good performance by retaining domain-invariant structures while changing domain-specific details. In this paper, we present an overview of diverse deep learning approaches to MR-to-CT synthesis, divided into four classes: convolutional neural networks, generative adversarial networks, transformer models, and diffusion models.

Prevalence of medication overload among older people with HIV: a MedSafer study.

Background: Older people with HIV (PWH) are at risk of polypharmacy (taking multiple medications). Most medications may be necessary and indicated to manage HIV (e.g.

Effect of catalyst and oxidant concentrations in a TEMPO oxidation system on the production of cellulose nanofibers.

In traditional TEMPO oxidation systems, the high cost of TEMPO catalysts has been a significant barrier to the industrialization of oxidized CNF. From an economic perspective, presenting the characteristics of various CNFs produced with the oxidation systems with reduced catalyst usage could facilitate the industrial application of CNF across a wide range of fields. In this study, it was demonstrated that reducing the amount of TEMPO catalyst used (from 0.

Two psammobiont species of (Acari, Halacaridae) from South Korea.

Background: The genus Newell, 1949, which is known to occur exclusively inhabiting sand, has not been previously reported from Korea. During a recent survey of the meiofauna from several intertidal sandy beaches in South Korea, we found both sexes of two psammobiont halacarids, sp. nov.

Efficacy of weekly versus daily cholecalciferol for repleting serum vitamin D (25(OH)D) deficiency: A systematic review and meta-analysis of randomized controlled trials.

Background/rationale: Weekly cholecalciferol can replace daily supplementation to reduce pill burden in patients with complex medication regimens and hypovitaminosis D, but evidence supporting this switch is unclear.

Objective: We aimed to determine whether weekly cholecalciferol was superior to daily cholecalciferol to replete patients with hypovitaminosis D.

Methods: We conducted a systematic review of randomized controlled trials involving participants with baseline hypovitaminosis D (<30 ng/ml) comparing weekly versus daily cholecalciferol dosing and where serum cholecalciferol was measured within 120 days of starting treatment.

Two-stage deep learning framework for occlusal crown depth image generation.

The generation of depth images of occlusal dental crowns is complicated by the need for customization in each case. To decrease the workload of skilled dental technicians, various computer vision models have been used to generate realistic occlusal crown depth images with definite crown surface structures that can ultimately be reconstructed to three-dimensional crowns and directly used in patient treatment. However, it has remained difficult to generate images of the structure of dental crowns in a fluid position using computer vision models.

Differences in Depressive Symptom Profile by Age Group in Koreans With Major Depressive Disorder: Results From Nationwide General Population Surveys.

Objective: This study investigated to what extent a range of depressive symptoms was differentially present depending on age group in Korean population.

Methods: Data was pooled from five nationally representative surveys in which 29,418 respondents aged at least 18 years were interviewed face-to-face using the Korean version of the Composite International Diagnostic Interview. A total of 691 (2.

A Multi-bit ECRAM-Based Analog Neuromorphic System with High-Precision Current Readout Achieving 97.3% Inference Accuracy.

This article proposes an analog neuromorphic system that enhances symmetry, linearity, and endurance by using a high-precision current readout circuit for multi-bit nonvolatile electro-chemical random-access memory (ECRAM). For on-chip training and inference, the system uses activation modules and matrix processing units to manage analog update/read paths and perform precise output sensing with feedback-based current scaling on the ECRAM array. The 250nm CMOS neuromorphic chip was tested with a 32 x 32 ECRAM synaptic array, achieving linear and symmetric updates and accurate read operations.