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Femur osteoid osteoma in children: are there location-dependent differences in MRI findings?
Pediatr Radiol
January 2025
Department of Radiology, Children's Hospital of Philadelphia, 3401 Civic Center Blvd, Philadelphia, PA, 19104, USA.
Background: Osteoid osteomas are most commonly found in the femur and preferentially affect the pediatric population. Magnetic resonance imaging (MRI) findings of femoral osteoid osteomas are not well described.
Objective: To systematically characterize pretreatment MRI findings of clinically confirmed femur osteoid osteomas in children and determine location-dependent differences.
Early Outcome of a Contemporary Unicondylar Knee System.
Cureus
November 2024
Orthopaedics, Anderson Orthopaedic Clinic, Arlington, USA.
Introduction: In 2019, a new fixed-bearing implant for unicondylar knee arthroplasty (UKA) was introduced that incorporated a round-on-flat design featuring an Oxinium femoral component coupled with a highly crosslinked polyethylene bearing surface. Compared to prior implants, the design featured smaller size increments coupled with medial and lateral-specific tibial baseplates. The objective of this study is to describe our institution's early experience with this UKA implant system by evaluating survivorship, reasons for revision, and patient-reported outcome measures (PROMs).
View Article and Find Full Text PDFPredictors of Clinical Outcomes After Hip Arthroscopy: 10-Year Follow-up Analysis of 1038 Patients.
Am J Sports Med
July 2024
American Hip Institute Research Foundation, Chicago, Illinois, USA.
Background: Although hip arthroscopy has been shown to have beneficial outcomes, there is a paucity of literature examining predictive factors of 10-year clinical outcomes.
Purpose: (1) To identify predictive factors of 10-year outcomes of hip arthroscopy and (2) to compare these factors with those found in 2-year and 5-year studies.
Study Design: Cohort study; Level of evidence, 3.
Natural language processing pipeline to extract prostate cancer-related information from clinical notes.
Eur Radiol
December 2024
Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Article Synopsis
- The study aimed to create an automated system to extract important prostate cancer information from clinical notes, focusing on patients who had prostate MRIs.
- Researchers analyzed data from over 23,000 patients between 2017 and 2022, using advanced machine learning techniques (like BERT models) to classify data from sentences in the notes.
- The results indicated that the automated pipeline was highly effective at identifying cancer risk factors, outperforming radiologists in sensitivity, though it was slightly less accurate in classifying other clinical information.*
HIP, HIPAA, Hooray: Responding to Negative Online Reviews.
J Oral Maxillofac Surg
December 2023
Assistant Professor and Section Chief of Oral and Maxillofacial Surgery, Department of Oral and Maxillofacial Surgery, Philadelphia Veterans Affairs Medical Center, Penn Presbyterian Medical Center, University of Pennsylvania School of Dental Medicine, Philadelphia, PA. Electronic address:
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