Metastatic skull tumors: MRI features and a new conventional classification

MRI features of primary and metastatic mucinous ovarian tumors

Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.

BACKGROUND AND PURPOSE Qualitative radiologic MR imaging review affords limited differentiation among types of pediatric posterior fossa brain tumors and cannot detect histologic or molecular subtypes, which could help to stratify treatment. This study aimed to improve current posterior fossa discrimination of histologic tumor type by using support vector machine classifiers on quantitative MR ...

Clinical and Endoscopic Features of Metastatic Tumors in the Stomach

BACKGROUND/AIMS Metastasis to the stomach is rare. The aim of this study was to describe and analyze the clinical outcomes of cancers that metastasized to the stomach. METHODS We reviewed the clinicopathological aspects of patients with gastric metastases from solid organ tumors. Thirty-seven cases were identified, and we evaluated the histology, initial presentation, imaging findings, lesion...

Skull Base Tumors

Skull base tumors arise from the cranial base or reach it, either from an intracranial or extracranial origin. A diverse group, these tumors present unique management challenges because of their relative rarity, typically deep location, close proximity to critical neurovascular structures, and extension beyond classically taught anatomic and specialty boundaries. Management outcomes for skull b...

A Robust Brain MRI Classification with GLCM Features

Automated and accurate classification of brain MRI is such important that leads us to present a new robust classification technique for analyzing magnetic response images. The proposed method consists of three stages, namely, feature extraction, dimensionality reduction, and classification. We use gray level co-occurrence matrix (GLCM) to extract features from brain MRI and for selecting the be...