Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Development and validation of a radiomics-visual evoked potential nomogram for preoperative prediction of visual outcome after endoscopic craniopharyngioma resection.
J Neurosurg
January 2025
Departments of1Neurosurgery.
Objective: Craniopharyngiomas are rare, benign brain tumors that are primarily treated with surgery. Although the extended endoscopic endonasal approach (EEEA) has evolved as a more reliable surgical alternative and yields better visual outcomes than traditional craniotomy, postoperative visual deterioration remains one of the most common complications, and relevant risk factors are still poorly defined. Hence, identifying risk factors and developing a predictive model for postoperative visual deterioration is indeed necessary.
View Article and Find Full Text PDFAssociation between pituitary adenoma consistency, resection techniques, and patient outcomes: a single-institution experience.
J Neurosurg
January 2025
Departments of1Neurological Surgery.
Objective: The present study aimed to investigate the association between pituitary adenoma (PA) consistency and other measurable tumor characteristics, extent of resection (EOR), postoperative complications, and outcomes.
Methods: In total, 507 PA resections were intraoperatively assigned a consistency grade from 1 (cystic/hemorrhagic tumors) to 5 (calcified tumors) based on intraoperative tumor characteristics. Tumor consistency was analyzed in tertiles (grades 1 and 2, grade 3, and grades 4 and 5) to determine associations with tumor characteristics, EOR, recurrence, postoperative outcomes, and complications.
Development of a nomogram model to predict postoperative urinary retention risk after transabdominal preperitoneal inguinal hernia repair.
ANZ J Surg
January 2025
Department of General Surgery, Digestive Disease Hospital, Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Objective: To explore independent risk factors and to establish a predictive model for postoperative urinary retention (POUR) following transabdominal preperitoneal inguinal hernia repair (TAPP).
Methods: Between January 2017 and December 2023, 598 patients with inguinal hernia who underwent TAPP at the General Surgery Department of Zunyi Medical University Affiliated Liupanshui Hospital were enrolled in the study. Participants were randomly divided into training and validation sets (7:3 ratio).
A Multi-Scale Computational Model of the Hepatic Circulation Applied to Predict the Portal Pressure After Transjugular Intrahepatic Portosystemic Shunt (TIPS).
Int J Numer Method Biomed Eng
January 2025
Hebei Provincial Key Laboratory of Portal Hypertension and Cirrhosis, Xingtai People's Hospital, Xingtai, China; Department of Radiology, Zhongda Hospital, Medical School, Southeast University, Nanjing, China.
Transjugular intrahepatic portosystemic shunt (TIPS) is a widely used surgery for portal hypertension. In clinical practice, the diameter of the stent forming a shunt is usually selected empirically, which will influence the postoperative portal pressure. Clinical studies found that inappropriate portal pressure after TIPS is responsible for poor prognosis; however, there is no scheme to predict postoperative portal pressure.
View Article and Find Full Text PDFPrediction of facial nerve outcomes after surgery for vestibular schwannoma using machine learning-based models: a systematic review and meta-analysis.
Neurosurg Rev
January 2025
Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA.
Postoperative facial nerve (FN) dysfunction is associated with a significant impact on the quality of life of patients and can result in psychological stress and disorders such as depression and social isolation. Preoperative prediction of FN outcomes can play a critical role in vestibular schwannomas (VSs) patient care. Several studies have developed machine learning (ML)-based models in predicting FN outcomes following resection of VS.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!