Association of Obesity and Skeletal Muscle with Postoperative Survival in Non-Small Cell Lung Cancer.

Background A comprehensive assessment of skeletal muscle health is crucial to understanding the association between improved clinical outcomes and obesity as defined by body mass index (BMI; calculated as weight in kilograms divided by height in meters squared) in lung cancer, but limited studies have been conducted on this topic. Purpose To investigate the association between BMI-defined obesity and survival in patients with non-small cell lung cancer who underwent curative resection, with a specific focus on the status of skeletal muscle assessed at CT. Materials and Methods This retrospective study investigated Korean patients with non-small cell lung cancer who underwent curative resection between January 2008 and December 2019.

Large-Scale Validation of the Feasibility of GPT-4 as a Proofreading Tool for Head CT Reports.

Background The increasing workload of radiologists can lead to burnout and errors in radiology reports. Large language models, such as OpenAI's GPT-4, hold promise as error revision tools for radiology. Purpose To test the feasibility of GPT-4 use by determining its error detection, reasoning, and revision performance on head CT reports with varying error types and to validate its clinical utility by comparison with human readers.

Comparative Investigation of Vortex and Direct Plasma Discharge for Treating Titanium Surface.

Numerous studies have investigated the surface treatment of implants using various types of plasma, including atmospheric pressure plasma and vacuum plasma, to remove impurities and increase surface energy, thereby enhancing osseointegration. Most previous studies have focused on generating plasma directly on the implant surface by using the implant as an electrode for plasma discharge. However, plasmas generated under atmospheric and moderate vacuum conditions often have a limited plasma volume, meaning the shape of the electrodes significantly influences the local electric field characteristics, which in turn affects plasma behavior.

End-to-End CT Radiomics-Based Pipeline for Predicting Renal Interstitial Fibrosis Grade in CKD Patients.

Rationale And Objectives: Non-invasive assessment of renal fibrosis in patients with chronic kidney disease (CKD) remains a clinical challenge. This study aims to integrate radiomics and clinical factors to develop an end-to-end pipeline for predicting interstitial fibrosis (IF) in CKD patients.

Materials And Methods: This retrospective study included 80 patients with CKD, with 53 patients in training set and 27 patients in test set.

De novo designed proteins neutralize lethal snake venom toxins.

Snakebite envenoming remains a devastating and neglected tropical disease, claiming over 100,000 lives annually and causing severe complications and long-lasting disabilities for many more. Three-finger toxins (3FTx) are highly toxic components of elapid snake venoms that can cause diverse pathologies, including severe tissue damage and inhibition of nicotinic acetylcholine receptors, resulting in life-threatening neurotoxicity. At present, the only available treatments for snakebites consist of polyclonal antibodies derived from the plasma of immunized animals, which have high cost and limited efficacy against 3FTxs.

Multi-Cancer Early Detection Tests: State of the Art and Implications for Radiologists.

Multi-cancer early detection (MCED) tests are already being marketed as noninvasive, convenient opportunities to test for multiple cancer types with a single blood sample. The technology varies-involving detection of circulating tumor DNA, fragments of DNA, RNA, or proteins unique to each targeted cancer. The priorities and tradeoffs of reaching diagnostic resolution in the setting of possible false positives and negatives remain under active study.

Development and Evaluation of Five-in-One Vaccine Microneedle Array Patch for Diphtheria, Tetanus, Pertussis, Hepatitis B, and Type b: Immunological Efficacy and Long-Term Stability.

: The development of a five-in-one vaccine microneedle patch (five-in-one MN patch) aims to address challenges in administering vaccines against Diphtheria (DT), Tetanus (TT), Pertussis (wP), Hepatitis B (HBsAg), and type b (Hib). Combining multiple vaccines into a single patch offers a novel solution to improve vaccine accessibility, stability, and delivery efficiency, particularly in resource-limited settings. : The five-in-one MN patch consists of four distinct microneedle arrays: DT and TT vaccines are coated together on one array, while wP, HepB, and Hib vaccines are coated separately on individual arrays.

Augmented Reality for Surgical Navigation: A Review of Advanced Needle Guidance Systems for Percutaneous Tumor Ablation.

Percutaneous tumor ablation has become a widely accepted and used treatment option for both soft and hard tissue malignancies. The current standard-of-care techniques for performing these minimally invasive procedures require providers to navigate a needle to their intended target using two-dimensional (2D) US or CT to obtain complete local response. These traditional image-guidance systems require operators to mentally transpose what is visualized on a 2D screen into the inherent three-dimensional (3D) context of human anatomy.

Association of Striatal Dopamine Depletion and Brain Metabolism Changes With Motor and Cognitive Deficits in Patients With Parkinson Disease.

Background And Objectives: Parkinson disease (PD) shows degeneration of dopaminergic neurons in the substantia nigra and characteristic changes in brain metabolism. However, how they correlated and affect motor and cognitive dysfunction in PD has not yet been well elucidated.

Methods: In this single-site cross-sectional study, we enrolled patients with PD who underwent -(3-[F]fluoropropyl)-2β-carbomethoxy-3β-(4-iodophenyl)nortropane (F-FP-CIT) PET, F-fluorodeoxyglucose (F-FDG) PET, the Movement Disorder Society-sponsored Unified PD Rating Scale examination, and detailed neuropsychological testing.

Deep learning algorithm for predicting left ventricular systolic dysfunction in atrial fibrillation with rapid ventricular response.

Aims: Although evaluation of left ventricular ejection fraction (LVEF) is crucial for deciding the rate control strategy in patients with atrial fibrillation (AF), real-time assessment of LVEF is limited in outpatient settings. We aimed to investigate the performance of artificial intelligence-based algorithms in predicting LV systolic dysfunction (LVSD) in patients with AF and rapid ventricular response (RVR).

Methods And Results: This study is an external validation of a pre-existing deep learning algorithm based on residual neural network architecture.

Latrophilin-2 Deletion in Cardiomyocyte Disrupts Cell Junction, Leading to D-CMP.

Background: Latrophilin-2 (Lphn2), an adhesive GPCR (G protein-coupled receptor), was found to be a specific marker of cardiac progenitors during the differentiation of pluripotent stem cells into cardiomyocytes or during embryonic heart development in our previous studies. Its role in adult heart physiology, however, remains unclear.

Methods: The embryonic lethality resulting from deletion necessitates the establishment of cardiomyocyte-specific, tamoxifen-inducible knockout mice, which was achieved by crossing mice with mice having MerCreMer (tamoxifen-inducible Cre [Cyclization recombinase] recombinase) under the α-myosin heavy chain promoter.

Clinical Use of Bedside Portable Ultra-Low-Field Brain Magnetic Resonance Imaging in Patients on Extracorporeal Membrane Oxygenation: Results From the Multicenter SAFE MRI ECMO Study.

Background: Early detection of acute brain injury (ABI) at the bedside is critical in improving survival for patients with extracorporeal membrane oxygenation (ECMO) support. We aimed to examine the safety of ultra-low-field (ULF; 0.064-T) portable magnetic resonance imaging (pMRI) in patients undergoing ECMO and to investigate the ABI frequency and types with ULF-pMRI.

SGLT2 Inhibitor Use and Risk of Dementia and Parkinson Disease Among Patients With Type 2 Diabetes.

Background And Objectives: Despite the mechanistic potential of sodium-glucose cotransporter 2 inhibitor (SGLT2i) to improve neurologic outcomes, the efficacy of SGLT2i in neurodegenerative disorders among patients with type 2 diabetes is not well established. This population-based cohort study aimed to investigate the association of SGLT2i use with risks of incident dementia and Parkinson disease (PD) in patients with type 2 diabetes.

Methods: This was a retrospective examination of data from a cohort of 1,348,362 participants with type 2 diabetes (≥40 years), who started antidiabetic drugs from 2014 to 2019, evaluated using the Korean National Health Insurance Service Database.

Fibrosis-Encapsulated Tumoroid, A Solid Cancer Assembloid Model for Cancer Research and Drug Screening.

Peritumoral fibrosis is known to promote cancer progression and confer treatment resistance in various solid tumors. Consequently, developing accurate cancer research and drug screening models that replicate the structure and function of a fibrosis-surrounded tumor mass is imperative. Previous studies have shown that self-assembly three-dimensional (3D) co-cultures primarily produce cancer-encapsulated fibrosis or maintain a fibrosis-encapsulated tumor mass for a short period, which is inadequate to replicate the function of fibrosis, particularly as a physical barrier.

Baseline Performance of Ultrasound-Based Strategies in Breast Cancer Screening Among Chinese Women.

Rationale And Objective: There is a notable absence of robust evidence on the efficacy of ultrasound-based breast cancer screening strategies, particularly in populations with a high prevalence of dense breasts. Our study addresses this gap by evaluating the effectiveness of such strategies in Chinese women, thereby enriching the evidence base for identifying the most efficacious screening approaches for women with dense breast tissue.

Methods: Conducted from October 2018 to August 2022 in Central China, this prospective cohort study enrolled 8996 women aged 35-64 years, divided into two age groups (35-44 and 45-64 years).

Erratum to: Stomach clusterin as a gut-derived feeding regulator.

[Erratum to: BMB Reports 2024; 57(3): 149-154, PMID: 37817436, PMCID: PMC10979347] The BMB Reports would like to correct in BMB Rep. 57(3):149-154, titled "Stomach clusterin as a gut-derived feeding regulator". This research was supported by the Creative-Pioneering Researchers Program through Seoul National University.

Deep Learning Model Using Stool Pictures for Predicting Endoscopic Mucosal Inflammation in Patients With Ulcerative Colitis.

Introduction: Stool characteristics may change depending on the endoscopic activity of ulcerative colitis (UC). We developed a deep learning model using stool photographs of patients with UC (DLSUC) to predict endoscopic mucosal inflammation.

Methods: This was a prospective multicenter study conducted in 6 tertiary referral hospitals.