Few studies have addressed radiomics based differentiation of Glioblastoma (GBM) and
intracranial metastatic disease (IMD). However, the effect of different tumor masks …

Purpose To determine if machine learning (ML) or deep learning (DL) pipelines perform
better in AI-based three-class classification of glioblastoma (GBM), intracranial metastatic …

Simple Summary Prior radiomic studies have addressed a two-class tumor classification
problem (glioblastoma (GBM) versus primary CNS lymphoma (PCNSL) or GBM versus …

Background Stereotactic brain biopsy (SBB) is a technique that allows for definitive
diagnosis of brain lesions. Little information is available regarding the diagnostic utility of …

BACKGROUND: Robot-assisted stereotactic biopsy is evolving: 3-dimensional
intraoperative imaging tools and new frameless registration systems are spreading …

OBJECTIVE Postoperative intracerebral hemorrhages are significant complications
following brain stereotactic biopsy. They can derive from anatomical structure (sulci, vessels) …

Stereotactic biopsies for lesions in the brainstem and deep brain are rare. This study aimed
to summarize our 6-year experience in the accurate diagnosis of lesions in the brain stem …

Background Abnormal tissue in stereotactic brain biopsies (SBB) is traditionally identified
intraoperatively via pathological frozen section (FS), a time-consuming and error-prone …

Objective We aimed to evaluate the concordance between the image-based and the tissue-
based diagnosis using frame-based stereotactic biopsy. Materials and methods Medical …

Objective. The best results in glioblastoma (GBM) are obtained through aggressive
treatment comprising maximally radical but safe resection followed by chemoradiotherapy …