Patient-Centered Discharge and Postoperative Length of Hospital Stay in Primary Total Knee Arthroplasty.

Background This study aimed to identify factors affecting the length of hospital stay (LOS) after total knee arthroplasty (TKA) in patients classified as American Society of Anesthesiologists (ASA) physical status I or II, with a focus on patient-dependent determination of discharge. The goal was to explore strategies to shorten LOS. Methods A retrospective cohort study was conducted on 398 patients (494 knees) who underwent primary TKA.

Automated Detection of Cancer-Suspicious Findings in Japanese Radiology Reports with Natural Language Processing: A Multicenter Study.

Missed critical imaging findings, particularly those indicating cancer, are a common issue that can result in delays in patient follow-up and treatment. To address this, we developed a rule-based natural language processing (NLP) algorithm to detect cancer-suspicious findings from Japanese radiology reports. The dataset used consisted of chest and abdomen CT reports from six institutions.

A Phase I, First-In-Human Study of CBA-1205, an Anti-DLK1 Monoclonal Antibody, in Patients With Advanced Solid Tumors.

CBA-1205 is a novel humanized antibody targeting delta-like 1 homolog (DLK1) that enhances antibody-dependent cellular cytotoxicity activity. DLK1 overexpression has been reported in various cancer types, such as hepatocellular carcinoma and neuroblastoma. CBA-1205 demonstrates potent antitumor activity in multiple tumor models, making it a potential treatment option for DLK1-expressing cancers.

Reduced gray matter volume in limbic and cortical areas is associated with anxiety and depression in alcohol use disorder patients.

Alcohol use disorder (AUD) is a multifactorial disease closely related to neurodevelopment and environmental factors that influence behavior. This study explored the relationships between brain volume and behavior from an Exploratory Structural Equation Modeling (ESEM) based on the Research Domain Criteria. High-resolution magnetic resonance imaging scans were acquired from recent patients with AUD (n = 50) and healthy controls (HC=50).

Retrospective evaluation of a novel ultrasound-based imaging analysis software for predicting radiofrequency ablation areas.

Objective: This study aimed to introduce and evaluate a novel software-based system, BioTrace, designed for real-time monitoring of thermal ablation tissue damage during image-guided radiofrequency ablation for hepatocellular carcinoma (HCC).

Methods: BioTrace utilizes a proprietary algorithm to analyze the temporo-spatial behavior of thermal gas bubble activity during ablation, as seen in conventional B-mode ultrasound imaging. Its predictive accuracy was assessed by comparing the ablation zones it predicted with those annotated by radiologists using contrast-enhanced computed tomography (CECT) 24 hours post-treatment, considered the gold standard.