Results 21 to 30 of about 455,909 (199)
p-Brain: A Modular Open-Source Framework for Automated Quantitative DCE-MRI of Cerebral Perfusion, Microvasculature, and Blood-Brain Barrier Permeability. [PDF]
ABSTRACT We present p‐Brain, a modular, open‐source framework for reproducible, automated quantitative DCE‐MRI at scale. Rather than a fixed pipeline, p‐Brain is built from interchangeable stages (ingestion, T1/M0$$ {T}_1/{M}_0 $$ fitting, vascular and tissue ROI extraction, signal‐to‐concentration conversion, kinetic modeling, and quality control ...
Tireli ED +5 more
europepmc +2 more sources
DCE-MRI: Dynamic contrast-enhanced MRI.
The value of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in the detection of prostate cancer is controversial. There are currently insufficient peer reviewed published data or expert consensus to support routine adoption of DCE-MRI for
Lutz Lüdemann (752833) +7 more
core +1 more source
Introduction: Dynamic Contrast-enhanced Magnetic Resonance Imaging (DCE-MRI) imaging is the mainstay of breast MRI techniques in characterising breast masses.
A Pavithra +3 more
doaj +1 more source
Purpose To evaluate the value of dynamic contrast enhanced Magnetic Resonance Imaging (DCE-MRI) without endorectal coil (EC) in the detection of local recurrent prostate cancer (PC) after radical prostatectomy (RP).
Rischke Hans Christian +8 more
doaj +1 more source
PURPOSETo evaluate the image quality and tumor morphology depiction ability of high resolution (HR) diffusion- weighted imaging (f-DWI) in comparison to conventional DWI (c-DWI) and dynamic contrast- enhanced magnetic resonance imaging (DCE-MRI) in the ...
Yavuz Metin +5 more
doaj +1 more source
BackgroundTo investigate reliable associations between dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) features and gene expression characteristics in breast cancer (BC) and to develop and validate classifiers for predicting PAM50 subtypes
Wenlong Ming +20 more
doaj +1 more source
Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) has been increasingly used for lesion detection in breast cancer diagnosis for its capability to provide spatial-temporal information. However, the massive and complex 4D spatial-temporal DCE-
Liang Wang +4 more
doaj +1 more source
Cluster analysis of the signal curves in perfusion DCE-MRI datasets [PDF]
Pathological studies show that tumors consist of different sub-regions with more homogeneous vascular properties during their growth. In addition, destroying tumor's blood supply is the target of most cancer therapies.
Mohajer, Mojgan
core +1 more source
Cobalt‐Catalyzed [2σ+2π] Cycloaddition via Site‐Selective Capture of Bicyclobutane Diradical
We report a Co(II)‐catalyzed strategy that combines thermal activation of bicyclo[1.1.0]butane (BCBs) with site‐selective radical capture to furnish head‐to‐head fused bicyclo[2.1.1]hexanes via [2σ+2π] cycloaddition with indoles. Detailed mechanistic studies (31P NMR, EPR, CV, and DFT) support the catalytic pathway, while phosphine‐oxide trapping and X‐
Tanmayee Nanda +8 more
wiley +2 more sources
Here, we investigate radiomics-based characterization of tumor vascular and microenvironmental properties in an orthotopic rat brain tumor model measured using dynamic-contrast-enhanced (DCE) MRI.
Hassan Bagher-Ebadian +6 more
doaj +1 more source

