Publications by authors named "C Zwanzger"
Purpose: To evaluate if nonlinear supervised learning classifiers based on non-contrast CT can predict functional prognosis at discharge in patients with spontaneous intracerebral hematoma.
Methods: Retrospective, single-center, observational analysis of patients with a diagnosis of spontaneous intracerebral hematoma confirmed by non-contrast CT between January 2016 and April 2018. Patients with HIE > 18 years and with TCCSC performed within the first 24 h of symptom onset were included.
Texture Analysis of the Apparent Diffusion Coefficient Focused on Contrast-Enhancing Lesions in Predicting Survival for Bevacizumab-Treated Patients with Recurrent Glioblastoma.
Cancers (Basel)
June 2023
Article Synopsis
- Glioblastoma often recurs after treatment, and this study investigates how magnetic resonance texture analysis (MRTA) can predict survival outcomes for patients treated with bevacizumab.
- A retrospective analysis of 33 patients revealed that certain radiomic features, such as major axis length, 2D diameter, and skewness, were linked to longer progression-free and overall survival.
- Preliminary findings indicate that MRTA could serve as a valuable tool for predicting survival, assisting in clinical decision-making for glioblastoma treatment.
Objectives: The purpose of this study was to analyze the new combined indicators on noncontrast computed tomography (NCCT) to predict functional outcome at discharge, compared to previously individual radiological NCCT signs.
Methods: Patients with spontaneous intracerebral hemorrhage (ICH) who underwent baseline CT scan were retrospectively analyzed. Black hole (BH) sign, blend sign (BS), island sign (IS), swirl sign (SwS), Barras classification, any hypodensity, any irregularity, and two combined novel indicators-Combined Barras Total Score (CBTS) and Hematoma Maturity Score-were assessed independently by two radiologists blinded to clinical information.
Objective: To compare the usefulness of CT angiography against the gold standard, digital subtraction angiography (DSA), in the characterization of cerebral arteriovenous malformations (AVM) that present with bleeding.
Material And Methods: We retrospectively analyzed patients with intracranial bleeding due to an AVM who were included in a prospective database in the period comprising January 2007 through December 2012. We reviewed radiologic variables such as the characteristics of the AVM (size, location, presence of deep venous drainage), involvement of eloquent areas, and the presence of associated aneurysms.