BACKGROUND AND PURPOSE: Accurate follow-up of metastatic brain tumors has
important implications for patient prognosis and management. The aim of this study was to …

The fact that accurate detection of metastatic brain tumors is important for making decisions
on the treatment course of patients prompted us to develop a computer-aided diagnostic …

PURPOSE: To develop an approach for computer-aided detection (CAD) of small brain
metastases in post-Gd T1-weighted magnetic resonance imaging (MRI). METHOD: A set of …

Purpose: To demonstrate the efficacy of an automated three‐dimensional (3D) template
matching‐based algorithm in detecting brain metastases on conventional MR scans and the …

Purpose: Tracking the progression of low grade tumors (LGTs) is a challenging task, due to
their slow growth rate and associated complex internal tumor components, such as …

Early detection of brain metastases increases survival in patients with cancer, since image-
guided radiosurgery is the most widely used treatment. As support for the qualitative …

The accurate localization of brain metastases in magnetic resonance (MR) images is crucial
for patients undergoing stereotactic radiosurgery (SRS) to ensure that all neoplastic foci are …

Background: To assess the feasibility of multiparametric magnetic resonance imaging in
predicting tumor recurrence in nonenhancing peritumoral regions in patients with …

Background: Accurate identification of brain metastases is crucial for cancer treatment.
Objectives: To compare the ability to detect brain metastases of two alternative types of …

BACKGROUND AND PURPOSE: MR imaging is the technique of choice for follow-up of
patients with brain metastases, yet the radiologic assessment is often tedious and error …