tumor vaccination by percutaneous ablative therapy and its synergy with immunotherapeutics: An update on combination therapy.

Percutaneous tumor ablation is now a widely accepted minimally invasive local treatment option offered by interventional radiology and applied to various organs and tumor histology types. It utilizes extreme temperatures to achieve irreversible cellular injury, where ablated tumor interacts with surrounding tissue and host tissue remodeling and inflammation, clinically manifesting as post-ablation syndrome. During this process, tumor vaccination occurs, in which tumor neoantigens are released from ablated tissue and can prime one's immune system which would favorably affect both local and remote site disease control.

High rates of subglottic stenosis seen in African-American children admitted with severe croup to hospitals in the United States between 2003 and 2013.

Background: To assess whether differences exist in the epidemiology and the treatment of croup with respect to gender, race, income and geographical location.

Methods: Retrospective weighted analysis of patients under 19 admitted with a diagnosis of croup with a subcohort of patients requiring intubation or diagnostic bronchoscopy from the National Inpatient Sample and Kids' Inpatient Database from 2003 to 2013. ICD-9 codes and demographics were analyzed; cross tabulations and linear regression modeling were performed.

Improving Ultrasound Detection of Uterine Adenomyosis Through Computational Texture Analysis.

The purpose of our study was to determine if a textural analysis metric can be implemented to improve diagnosis of adenomyosis by ultrasound.We retrospectively identified 38 patients with a magnetic resonance imaging (MRI) diagnosis of uterine adenomyosis that also had a pelvic ultrasound within 6 months. We also identified 50 normal pelvic ultrasound examinations confirmed by a normal pelvic MRI within 6 months as a control group.

Quantitative analysis of ultrasound images for computer-aided diagnosis.

We propose an adaptable framework for analyzing ultrasound (US) images quantitatively to provide computer-aided diagnosis using machine learning. Our preliminary clinical targets are hepatic steatosis, adenomyosis, and craniosynostosis. For steatosis and adenomyosis, we collected US studies from 288 and 88 patients, respectively, as well as their biopsy or magnetic resonanceconfirmed diagnosis.