Preoperative clinical magnetic resonance imaging (MRI) protocols for gliomas, brain tumors
with dismal outcomes due to their infiltrative properties, still rely on conventional structural …

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Purpose: The construction and validation of a radiomics nomogram based on machine
learning using magnetic resonance image (MRI) for predicting the efficacy of neoadjuvant …

Objective To establish and validate a radiomics nomogram based on the features of the
primary tumor for predicting preoperative pathological extramural venous invasion (EMVI) in …

Alterations to the cerebral microcirculation have been recognized to play a crucial role in the
development of neurodegenerative disorders. However, the exact role of the microvascular …

Purpose The aim of this study was to determine if functional parameters extracted from the
hybrid positron emission tomography/magnetic resonance imaging (PET/MRI) correlate with …

Accurate vascular input function (VIF) derivation is essential in brain dynamic contrast-
enhanced (DCE) MRI. The optimum site for VIF estimation is, however, debated. This study …

Quantitative DCE-MRI provides voxel-wise estimates of tracer-kinetic parameters that are
valuable in the assessment of health and disease. These maps suffer from many known …

Purpose To evaluate an interleaved MRI sampling strategy that acquires both high temporal
resolution (HTR) dynamic contrast‐enhanced (DCE) data for quantifying breast tumor blood …

Pharmacokinetic parameters estimated from dynamic contrast-enhanced magnetic
resonance imaging (DCE-MRI) time course data enable the physio-biological interpretation …