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nordicice version 4.1.3 (NordicNeuroLab AS)

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NordicNeuroLab AS nordicice version 4.1.3
Nordicice Version 4.1.3, supplied by NordicNeuroLab AS, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/nordicice/nordicice+4+1+3/pm40615518-60-9-12
Average 90 stars, based on 1 article reviews

nordicice version 4.1.3 - by Bioz Stars, 2026-11

90/100 stars

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other:

Article Title: Dynamic contrast-enhanced magnetic resonance imaging parameter changes as an early biomarker of tumor responses following radiation therapy in patients with spinal metastases: a systematic review.
Article Snippet: Lis et al. [7], 2017 1.5 T Gd-DTPA 0.1 mmol/kg at flow rate of 2.5 mL/s NordicICE (NordicNeuroLab) and MATLAB (MathWorks) Toft’s pharmacokinetic model analysis Vp, Ktrans 1 hour before and after therapy, compared to subsequent follow-up (range, 51–504 days) Chen et al. [25], 2021 3T Gadopentetate dimeglumine 0.1 mmol/ kg at flow rate of 2 mL/s GE ADW4.6 workstation and GenIQ software Extended Tofts 2-compartment pharmacokinetic model Ktrans, Kep, Ve 1 week pre-therapy; 1/3 months post-therapy Vellayappan et al. [27], 2022 3T Dotarem (gadoterate meglumine) 0.2 mL/ kgBB at flow rate of 3 mL/s MATLAB (MathWorks) Distributed parameter Ktrans, PS, Vp, Ve, At time of CT simulation; 1-week and 3-month post-radiation therapy Lee et al. [28], 2021 3T Gadoterate meglumine (Dotarem) at a rate of 3 mL/s IntelliSpace Portal version 10.0 (Philips) Extended Tofts 2-compartment pharmacokinetic model Ktrans, Ve, Vp, Kep Before (baseline) and 1 month after completing RT (first post-RT; range 15– 45 days) DCE-MRI, dynamic contrast-enhanced magnetic resonance imaging; Gd-DTPA, gadolinium-diethylenetriamine pentaacetic acid; Vp, plasma volume fraction; Ktrans, transfer constant; AUC, area under the curve; PE, peak enhancement; IQR, inter quartile range; Ve, extravascular extracellular space volume fraction; PS, permeability surface area product; CT, computed tomography; RT, radiation therapy. a 7% reduction in Ktrans (median follow-up of 14; range, 7 to 20 months).

Imaging:

Article Title: Clinical, qualitative imaging biomarkers, and tumor oxygenation imaging biomarkers for differentiation of midline-located IDH wild-type glioblastomas and H3 K27-altered diffuse midline gliomas in adults.
Article Snippet: Purpose: To compare the clinical, qualitative and quantitative imaging phenotypes, including tumor oxygenation characteristics of midline-located IDH-wildtype glioblastomas (GBMs) and H3 K27-altered diffuse midline gliomas (DMGs) in adults.. Methods: Preoperative MRI data of 55 adult patients with midline-located IDH-wildtype GBM or H3 K27-altered DMG (32 IDH-wildtype GBM and 23 H3 K27-altered DMG patients) were included.. Qualitative imaging assessment was performed.

Software:

Article Title: Impaired Glymphatic Function in Diffuse Axonal Injury: Evaluation Using the Diffusion Tensor Imaging Analysis Along the Perivascular Space (DTI-ALPS) Method.
Article Snippet: .. Commercial software (NordicICE; NordicNeuroLab, Bergen, Norway) was used to generate color-coded fractional anisotropy (FA) and diffusivity maps. ..

Diffusion-based Assay:

Article Title: Early-life influenza A (H1N1) infection independently programs brain connectivity, HPA AXIS and tissue-specific gene expression profiles
Article Snippet: .. NordicICE (NordicNeuroLab, Bergen, Norway) was used to analyze diffusion related images. ..

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$Methodological overview of the imaging pipeline. A , First, ischemic cores were segmented semiautomatically on baseline apparent diffusion coefficient (ADC≤620 mm²/s) and follow-up fluid-attenuated inversion recovery (FLAIR) images using the SONIA software. Then, pharmacokinetic modeling was performed in 2 different software suites ( B ). (1) NordicIce was used to estimate extraction fraction (EF) as a marker of blood-brain barrier (BBB) leakage, based on delay-insensitive singular value deconvolution and residue function–based leakage correction using an automatically defined arterial input function. (2) RAPID was used for current state-of-the-art estimation of time to maximum of the tissue residue function (T max ) maps and perfusion deficit masks. C , After coregistration, different tissue types of interest were defined using the perfusion deficit, baseline, and follow-up ischemic core masks. D , Different analytical approaches. We performed both tissue type of interest analyses using averaged EF/T max values and voxel-wise analyses. For simplicity, only the salvaged vs infarcted penumbra contrast is shown here.$

Journal: Stroke

Article Title: Blood-Brain Barrier Leakage in the Penumbra Is Associated With Infarction on Follow-Up Imaging in Acute Ischemic Stroke

doi: 10.1161/STROKEAHA.124.050171

Figure Lengend Snippet: Methodological overview of the imaging pipeline. A , First, ischemic cores were segmented semiautomatically on baseline apparent diffusion coefficient (ADC≤620 mm²/s) and follow-up fluid-attenuated inversion recovery (FLAIR) images using the SONIA software. Then, pharmacokinetic modeling was performed in 2 different software suites ( B ). (1) NordicIce was used to estimate extraction fraction (EF) as a marker of blood-brain barrier (BBB) leakage, based on delay-insensitive singular value deconvolution and residue function–based leakage correction using an automatically defined arterial input function. (2) RAPID was used for current state-of-the-art estimation of time to maximum of the tissue residue function (T max ) maps and perfusion deficit masks. C , After coregistration, different tissue types of interest were defined using the perfusion deficit, baseline, and follow-up ischemic core masks. D , Different analytical approaches. We performed both tissue type of interest analyses using averaged EF/T max values and voxel-wise analyses. For simplicity, only the salvaged vs infarcted penumbra contrast is shown here.

Article Snippet: BBB leakage was estimated as extraction fraction (EF) using NordicICE, version 4.2.0 (Nordic-NeuroLab, Bergen, Norway) via delay-insensitive singular value deconvolution and residue function–based leakage correction using an automatically defined arterial input function (Figure B).

Techniques: Imaging, Diffusion-based Assay, Software, Extraction, Marker, Residue