Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Diagnostic accuracy and safety of ultrasound-guided percutaneous core needle biopsy among children with extra cranial solid masses at a tertiary care hospital in Karachi, Pakistan.
Pak J Med Sci
January 2025
Muhammad Rafie Raza, FCPS Department of Pediatric Oncology, Indus Hospital and Health Network, Karachi, Pakistan.
Objective: To determine the diagnostic accuracy and procedure safety of ultrasound-guided core needle biopsy of extra cranial solid masses in the pediatric population.
Method: A cross-sectional survey was conducted by the Department of Pediatric Hematology /Oncology and Radiology at Indus Hospital and Health Network Karachi from August 2022 to April 2023. A total of 118 pediatric patients, from age one month to 18 years, with extra cranial solid masses were studied.
Surgical management of ossifying fibroma in a 9-year-old Hungarian Vizsla: a case report and review of the literature.
Front Vet Sci
January 2025
Department of Anesthesiology and Surgery, University of Agricultural Sciences and Veterinary Medicine, Cluj-Napoca, Romania.
Ossifying fibroma (OF) is a rare, benign fibro-osseous neoplasm that primarily originates from membranous bones. While most frequently documented in equines, OF has also been reported in other species, including dogs, though it remains uncommon. The condition poses significant diagnostic challenges due to its ambiguous presentation, often requiring differentiation from other benign and malignant intraosseous lesions.
View Article and Find Full Text PDFEthical dilemmas surrounding patients´ "unwise" treatment preferences and suboptimal decision quality: case series of three renal cell carcinoma patients who developed local recurrences after non-guideline-concordant care choices.
Pan Afr Med J
October 2024
College of Medicine, Qatar University, Doha, Qatar.
Patient engagement and shared decision-making (SDM) between patients and clinicians is the foundation of patient-centered care. It aims to reach a treatment option that fits the patient's preference and is guideline-concordant. We sought to evaluate the possible causes and outcomes of patient's non-guideline-concordant care choices.
View Article and Find Full Text PDFHippocampal Functional Radiomic Features for Identification of the Cognitively Impaired Patients from Low-Back-Related Pain: A Prospective Machine Learning Study.
J Pain Res
January 2025
Jiangxi Provincial Key Laboratory for Precision Pathology and Intelligent Diagnosis, Department of Radiology, the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
Purpose: To investigate whether functional radiomic features in bilateral hippocampi can identify the cognitively impaired patients from low-back-related leg pain (LBLP).
Patients And Methods: For this retrospective study, a total of 95 clinically definite LBLP patients (40 cognitively impaired patients and 45 cognitively preserved patients) were included, and all patients underwent functional MRI and clinical assessments. After calculating the amplitude of low-frequency fluctuations (ALFF), regional homogeneity (ReHo), voxel-mirrored homotopic connectivity (VMHC) and degree centrality (DC) imaging, the radiomic features (n = 819) of bilateral hippocampi were extracted from these images, respectively.
Liver fibrosis classification on trichrome histology slides using weakly supervised learning in children and young adults.
J Pathol Inform
January 2025
Cincinnati Children's AI Imaging Research (CAIIR) Center, Cincinnati, OH, United States.
Background: Traditional liver fibrosis staging via percutaneous biopsy suffers from sampling bias and variable inter-pathologist agreement, highlighting the need for more objective techniques. Deep learning models for disease staging from medical images have shown potential to decrease diagnostic variability, with recent weakly supervised learning strategies showing promising results even with limited manual annotation.
Purpose: To study the clustering-constrained attention multiple instance learning (CLAM) approach for staging liver fibrosis on trichrome whole slide images (WSIs) of children and young adults.
Want 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!