Trial reportJournal of magnetic resonance imaging : JMRI2014
DCE-MRI of the liver: effect of linear and nonlinear conversions on hepatic perfusion quantification and reproducibility.
Trial report in Journal of magnetic resonance imaging : JMRI, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06265272 (Technical Development and Clinical Validation of a Comprehensive One-stop Shop Assessment of the Cirrhotic Liver With [68Ga]Ga-PSMA-11 PET/MRI), which is not on this map. Cited by 61 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Technical Development and Clinical Validation of a Comprehensive One-stop Shop Assessment of the Cirrhotic Liver With [68Ga]Ga-PSMA-11 PET/MRI
Who cites it
61 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Evaluation of methods to quantify aerobic-anaerobic energy contributions during sports and exercise - a systematic review and best-evidence synthesis.Frontiers in sports and active living · 2025Pooled it
- Twenty Years On: RECIST as a Biomarker of Response in Solid Tumours an EORTC Imaging Group - ESOI Joint Paper.Frontiers in oncology · 2021Pooled it
- Temporal Stability, Reproducibility and Predictability of Whole-Body Sweat Sodium Concentration During Prolonged Cycling in the Heat withNutrients · 2026Trial
- The effect of dietary nitrate supplementation on resistance exercise performance: A dose-response investigation.European journal of applied physiology · 2025Trial
- DCE-MRI of the liver: reconstruction of the arterial input function using a low dose pre-bolus contrast injection.PloS one · 2014Trial
- Flexible Multimodal Neural Probe with Integrated Three-Electrode Aptameric Sensing for In Vivo Monitoring of Dopamine Dynamics and Neural Activity.ACS chemical neuroscience · 2026Article
- Derivatization agents for LC-MS analysis of amino acids: effects of core structure and functional groups.Analytical and bioanalytical chemistry · 2026Article
- Multiparametric MRI for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal Masses: A Pilot Study.Journal of magnetic resonance imaging : JMRI · 2026Article
- Evaluating large language model usage for calculating readability of patient education materials in ophthalmology.Eye (London, England) · 2026Article
- Phototherapy exposure variability in extremely preterm neonates due to different treatment protocols and devices: cross-sectional study.Journal of perinatology : official journal of the California Perinatal Association · 2026Observational
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- Reproducibility of a time-resolved NIRS, multidistance diffuse correlation spectroscopy system: towards noninvasive longitudinal neuromonitoring.Neurophotonics · 2026Article
- Optimized acquisition for simultaneous intravoxel incoherent motion and RMagnetic resonance in medicine · 2025Article
- A comprehensive analysis of internal and external load monitoring systems in basketball.Scientific reports · 2025Article
- Full Squats Enhance Performance and Body Composition, but Not Hypertrophy, Compared to Half Squats in Elite Young Tennis Players.Journal of functional morphology and kinesiology · 2025Article
- Test-retest reliability and repeatability of behavioral and electrophysiological markers of cognitive control in an Eriksen Flanker Task.Cognitive, affective & behavioral neuroscience · 2025Article
- Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) in Hepatocellular Carcinoma: A Review of Emerging Applications for Locoregional Therapy.Bioengineering (Basel, Switzerland) · 2025Review
- When would I be surprised? Variability in predicted probability of survival for being "surprised" and "not surprised" to the surprise question.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Changes in Ascorbic Acid, Phenolic Compound Content, and Antioxidant Activity In Vitro in Bee Pollen Depending on Storage Conditions: Impact of Drying and Freezing.Antioxidants (Basel, Switzerland) · 2025Article
- Measuring Noseband Tightness on the Lateral Aspect of the Horse's Face.Animals : an open access journal from MDPI · 2025Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
purposeTo evaluate the effect of different methods to convert magnetic resonance (MR) signal intensity (SI) to gadolinium concentration ([Gd]) on estimation and reproducibility of model-free and modeled hepatic perfusion parameters measured with dynamic contrast-enhanced (DCE)-MRI. MATERIALS AND
methodsIn this Institutional Review Board (IRB)-approved prospective study, 23 DCE-MRI examinations of the liver were performed on 17 patients. SI was converted to [Gd] using linearity vs. nonlinearity assumptions (using spoiled gradient recalled echo [SPGR] signal equations). The [Gd] vs. time curves were analyzed using model-free parameters and a dual-input single compartment model. Perfusion parameters obtained with the two conversion methods were compared using paired Wilcoxon test. Test-retest and interobserver reproducibility of perfusion parameters were assessed in six patients.
resultsThere were significant differences between the two conversion methods for the following parameters: AUC60 (area under the curve at 60 s, P < 0.001), peak gadolinium concentration (Cpeak, P < 0.001), upslope (P < 0.001), Fp (portal flow, P = 0.04), total hepatic flow (Ft, P = 0.007), and MTT (mean transit time, P < 0.001). Our preliminary results showed acceptable to good reproducibility for all model-free parameters for both methods (mean coefficient of variation [CV] range, 11.87-23.7%), except for upslope (CV = 37%). Among modeled parameters, DV (distribution volume) had CV <22% with both methods, PV and MTT showed CV <21% and <29% using SPGR equations, respectively. Other modeled parameters had CV >30% with both methods.
conclusionLinearity assumption is acceptable for quantification of model-free hepatic perfusion parameters while the use of SPGR equations and T1 mapping may be recommended for the quantification of modeled hepatic perfusion parameters.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.