| Variability of renal apparent diffusion coefficients: limitations of the monoexponential model for diffusion quantification. | |
| | |
MedLine Citation:
|
PMID: 20089719 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
Purpose: To investigate whether variability in reported renal apparent diffusion coefficient (ADC) values in literature can be explained by the use of different diffusion weightings (b values) and the use of a monoexponential model to calculate ADC. Materials and Methods: This prospective study was approved by institutional review board and was HIPAA-compliant, and all subjects gave written informed consent. Diffusion-weighted (DW) imaging of the kidneys was performed in three healthy volunteers to generate reference diffusion decay curves. In a literature meta-analysis, the authors resampled the reference curves at the various b values used in 19 published studies of normal kidneys (reported ADC = [2.0-4.1] x 10(-3) mm(2) / sec for cortex and [1.9-5.1] x 10(-3) mm(2) / sec for medulla) and then fitted the resampled signals by monoexponential model to produce "predicted" ADC. Correlation plots were used to compare the predicted ADC values with the published values obtained with the same b values. Results: Significant correlation was found between the reported and predicted ADC values for whole renal parenchyma (R(2) = 0.50, P = .002), cortex (R(2) = 0.87, P = .0002), and medulla (R(2) = 0.61, P = .0129), indicating that most of the variability in reported ADC values arises from limitations of a monoexponential model and use of different b values. Conclusion: The use of a monoexponential function for DW imaging analysis and variably sampled diffusion weighting plays a substantial role in causing the variability in ADC of healthy kidneys. For maximum reliability in renal apparent diffusion coefficient quantification, data for monoexponential analysis should be acquired at a fixed set of b values or a biexponential model should be used. (c) RSNA, 2010. |
| | |
Authors:
|
Jeff L Zhang; Eric E Sigmund; Hersh Chandarana; Henry Rusinek; Qun Chen; Pierre-Hugues Vivier; Bachir Taouli; Vivian S Lee |
Related Documents
:
|
16852629 - Adsorption of gases in metal organic materials: comparison of simulations and experiments. 22319599 - Feature-by-feature - evaluating de novo sequence assembly. 11088809 - Analysis of time series from stochastic processes 22373309 - Collapsing-based and kernel-based single-gene analyses applied to genetic analysis work... 11936659 - Practical identification of the dissolved oxygen dynamic in activated sludge plants. 22360769 - Comparison of random forest and pipeline pilot naive bayes in prospective qsar predicti... 17028329 - Molecular diversity after a range expansion in heterogeneous environments. 15339299 - Predicting and correcting bias caused by measurement error in line transect sampling us... 16631049 - Prediction of the effective postoperative (intraocular lens) anterior chamber depth. |
Publication Detail:
|
Type: Journal Article; Meta-Analysis Date: 2010-01-20 |
Journal Detail:
|
Title: Radiology Volume: 254 ISSN: 1527-1315 ISO Abbreviation: Radiology Publication Date: 2010 Mar |
Date Detail:
|
Created Date: 2010-02-23 Completed Date: 2010-04-15 Revised Date: 2011-07-25 |
Medline Journal Info:
|
Nlm Unique ID: 0401260 Medline TA: Radiology Country: United States |
Other Details:
|
Languages: eng Pagination: 783-92 Citation Subset: AIM; IM |
Affiliation:
|
Department of Radiology, New York University, 660 First Ave, 4th Floor, New York, NY 10016, USA. Lei.Zhang@nyumc.org |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Adult Diffusion Magnetic Resonance Imaging / methods* Female Humans Kidney / blood supply* Male Models, Statistical* Prospective Studies Reference Values |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Cerebral Gliomas: Diffusional Kurtosis Imaging Analysis of Microstructural Differences.
Next Document: Distribution of Cerebral Blood Flow in the Nucleus Caudatus, Nucleus Lentiformis, and Thalamus: A St...