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Identification and characterization of tumor and stromal derived liquid biopsy analytes in pancreatic ductal adenocarcinoma.
J Exp Clin Cancer Res
January 2025
Department of Tumor Biology, Center of Experimental Medicine, University Medical Center Hamburg-Eppendorf, Martinistr, 52, 20248, Hamburg, Germany.
Background: The lack of predictive biomarkers contributes notably to the poor outcomes of patients with pancreatic ductal adenocarcinoma (PDAC). Cancer-associated fibroblasts (CAFs) are the key components of the prominent PDAC stroma. Data on clinical relevance of CAFs entering the bloodstream, known as circulating CAFs (cCAFs) are scarce.
View Article and Find Full Text PDFClinical Characteristics and Outcomes of Patients Undergoing 3 Aortic Valve Interventions: The THIRD Multicenter Registry.
JACC Cardiovasc Interv
January 2025
Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua, Padua, Italy.
Background: Lifetime treatment of aortic valve disease is a matter of increasing debate. Although the risks of a second aortic valve intervention are recognized, little attention has been given to the challenges of a third.
Objectives: This study delves into the clinical characteristics, indications, and outcomes of patients undergoing 3 aortic valve interventions.
Did Finerenone Improve Health Status in the FINEARTS Trial?: A Critical Reevaluation of the Analysis of Patient-Reported Outcomes in Heart Failure.
J Am Coll Cardiol
January 2025
Baylor Heart and Vascular Institute, Dallas, Texas, USA; Imperial College, London, United Kingdom.
Patient-reported health status is an important assessment of patients with heart failure, but current approaches have substantial methodological and analytical limitations. Changes in the Kansas City Cardiomyopathy Questionnaire (KCCQ) are commonly presented as a measure of the effect of drugs and devices, most often as the between-group difference in population means or as the odds of showing threshold changes of 5, 10, 15, and 20 points. However, the presentation of mean differences is based on statistical assumptions that are routinely violated in most trials.
View Article and Find Full Text PDFUsing a deep learning model to predict postoperative visual outcomes of idiopathic epiretinal membrane surgery.
Am J Ophthalmol
January 2025
Professional Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan. Electronic address:
Purpose: This study assessed the performance of various deep learning models in predicting the postoperative outcomes of idiopathic epiretinal membrane (ERM) surgery based on preoperative optical coherence tomography (OCT) images.
Design: Validation of algorithms to predict the outcomes of ERM surgery based on OCT data.
Methods: Internal training and validation were performed using 1,392 OCT images from 696 eyes.
A Novel Preoperative Scoring System to Accurately Predict Cord-Level Intraoperative Neuromonitoring Data Loss During Spinal Deformity Surgery: A Machine-Learning Approach.
J Bone Joint Surg Am
November 2024
Department of Orthopedic Surgery, Columbia University Irving Medical Center, New York, NY.
Background: An accurate knowledge of a patient's risk of cord-level intraoperative neuromonitoring (IONM) data loss is important for an informed decision-making process prior to deformity correction, but no prediction tool currently exists.
Methods: A total of 1,106 patients with spinal deformity and 205 perioperative variables were included. A stepwise machine-learning (ML) approach using random forest (RF) analysis and multivariable logistic regression was performed.
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