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Advancing presurgical non-invasive spread through air spaces prediction in clinical stage IA lung adenocarcinoma using artificial intelligence and CT signatures.
Front Surg
January 2025
Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background: To accurately identify spread through air spaces (STAS) in clinical stage IA lung adenocarcinoma, our study developed a non-invasive and interpretable biomarker combining clinical and radiomics features using preoperative CT.
Methods: The study included a cohort of 1,325 lung adenocarcinoma patients from three centers, which was divided into four groups: a training cohort ( = 930), a testing cohort ( = 238), an external validation 1 cohort ( = 93), and 2 cohort ( = 64). We collected clinical characteristics and semantic features, and extracted radiomics features.
Development and validation of an EHR-based risk prediction model for geriatric patients undergoing urgent and emergency surgery.
BMC Anesthesiol
January 2025
Kaiser Permanente Division of Research, 2000 Broadway, Oakland, CA, 94612, USA.
Background: Clinical determination of patients at high risk of poor surgical outcomes is complex and may be supported by clinical tools to summarize the patient's own personalized electronic health record (EHR) history and vitals data through predictive risk models. Since prior models were not readily available for EHR-integration, our objective was to develop and validate a risk stratification tool, named the Assessment of Geriatric Emergency Surgery (AGES) score, predicting risk of 30-day major postoperative complications in geriatric patients under consideration for urgent and emergency surgery using pre-surgical existing electronic health record (EHR) data.
Methods: Patients 65-years and older undergoing urgent or emergency non-cardiac surgery within 21 hospitals 2017-2021 were used to develop the model (randomly split: 80% training, 20% test).
The Effect of Nurse-led Preoperative Visits on Anxiety: An Integrative Review.
J Perianesth Nurs
January 2025
Department of Operating Room, Shengjing Hospital of China Medical University, Shenyang, Liaoning, PR China. Electronic address:
Purpose: This review aims to investigate the effectiveness of nurse-led preoperative visits for the reduction of presurgical anxiety. The review will explore the patterns and mechanisms through which these visits alleviate anxiety, identify the existing practice gaps, and suggest future directions for improvement. The findings will help health care providers choose appropriate visits for their patients.
View Article and Find Full Text PDFAssociation of pre-surgical circulating tumor DNA detection, use of sublobar resection with risk of recurrence in stage I non-small cell lung cancer.
Eur J Cancer
January 2025
Department of Thoracic and Cardiovascular Surgery, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul, South Korea; Patient-Centered Outcomes Research Institute, Samsung Medical Center, Seoul, South Korea; Department of Clinical Research Design and Evaluation, SAIHST, Sungkyunkwan University, Seoul, South Korea. Electronic address:
Background: Sublobar resection is increasingly recognized as an effective treatment for early-stage NSCLC. However, no studies to date have investigated the potential role of preoperative ctDNA detection in guiding surgical decisions, such as opting for sublobar resection, in stage I NSCLC.
Methods: Patients with solid-dominant (CTR>0.
Debilitating anxiety is pervasive in the modern world. Choices to approach or avoid are common in everyday life and excessive avoidance is a cardinal feature of all anxiety disorders. Here, we used intracranial EEG to define a distributed prefrontal-limbic circuit dynamics supporting approach and avoidance.
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