Characterizing Clinical Trials in Plastic and Reconstructive Surgery: A Systematic Review of ClinicalTrials.gov From 2007 to 2020.

Background: Clinical trials form the backbone of evidence-based medicine. ClinicalTrials.gov is the world's largest clinical trial registry, and the state of clinical trials in plastic and reconstructive surgery (PRS) within that database has not been comprehensively studied.

Neurosurgical management of vertebral lesions in pediatric chronic recurrent multifocal osteomyelitis: patient series.

Background: Chronic recurrent multifocal osteomyelitis (CRMO) is a rare pediatric autoinflammatory disorder involving 2 or more inflammatory bone lesions separated in time and space associated with pathological vertebral fractures. There are no current guidelines for the role of pediatric spine surgeons in the management of this condition. The authors demonstrate the importance of close and early involvement of neurosurgeons in caring for patients with CRMO with vertebral involvement.

Radiotherapy for Brain Metastases from Thyroid Cancer: An Institutional and National Retrospective Cohort Study.

Stereotactic radiosurgery (SRS) is the standard of care for patients with a limited number of brain metastases. Despite the fact that the seminal studies regarding SRS for brain metastases were largely tissue agnostic, several current national guidelines do not uniformly recommend SRS in thyroid cancer. We therefore investigated oncological outcomes in a cohort of patients with brain metastases from thyroid cancer who received radiotherapy (RT) at our institution as well as those in a nationally representative cancer cohort, the National Cancer Database (NCDB).

Research reporting in cubital tunnel syndrome studies: an analysis of the literature.

Purpose: There is a strong need for a set of consensus outcomes to be utilized for future studies on cubital tunnel syndrome. The goal was to assess the outcome measures utilized in the cubital tunnel syndrome literature as a way of measuring popularity/acceptability and then to perform a literature review for the most commonly used outcomes.

Methods: A literature search was performed using the pubmed.

Machine learning approach to differentiation of peripheral schwannomas and neurofibromas: A multi-center study.

Background: Non-invasive differentiation between schwannomas and neurofibromas is important for appropriate management, preoperative counseling, and surgical planning, but has proven difficult using conventional imaging. The objective of this study was to develop and evaluate machine learning approaches for differentiating peripheral schwannomas from neurofibromas.

Methods: We assembled a cohort of schwannomas and neurofibromas from 3 independent institutions and extracted high-dimensional radiomic features from gadolinium-enhanced, T1-weighted MRI using the PyRadiomics package on Quantitative Imaging Feature Pipeline.

Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study.

Background: Clinicoradiologic differentiation between benign and malignant peripheral nerve sheath tumors (PNSTs) has important management implications.

Objective: To develop and evaluate machine-learning approaches to differentiate benign from malignant PNSTs.

Methods: We identified PNSTs treated at 3 institutions and extracted high-dimensional radiomics features from gadolinium-enhanced, T1-weighted magnetic resonance imaging (MRI) sequences.

Imaging of Damaged Nerves.

Nerve imaging is an important component in the assessment of patients presenting with suspected peripheral nerve pathology. Although magnetic resonance neurography and ultrasound are the most commonly utilized techniques, several promising new modalities are on the horizon. Nerve imaging is useful in localizing the nerve injury, determining the severity, providing prognostic information, helping establish the diagnosis, and helping guide surgical decision making.