Evidence map›Paper›PMID 26609526›Full record

ArticleBioMed research international2015

Parameterization of the Age-Dependent Whole Brain Apparent Diffusion Coefficient Histogram.

Uwe Klose, Marion Batra, Thomas Nägele

Abstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Uwe KloseDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany.
Marion BatraDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany.
Thomas NägeleDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Tübingen, Tübingen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe distribution of apparent diffusion coefficient (ADC) values in the brain can be used to characterize age effects and pathological changes of the brain tissue. The aim of this study was the parameterization of the whole brain ADC histogram by an advanced model with influence of age considered.

methodsWhole brain ADC histograms were calculated for all data and for seven age groups between 10 and 80 years. Modeling of the histograms was performed for two parts of the histogram separately: the brain tissue part was modeled by two Gaussian curves, while the remaining part was fitted by the sum of a Gaussian curve, a biexponential decay, and a straight line.

resultsA consistent fitting of the histograms of all age groups was possible with the proposed model.

conclusionsThis study confirms the strong dependence of the whole brain ADC histograms on the age of the examined subjects. The proposed model can be used to characterize changes of the whole brain ADC histogram in certain diseases under consideration of age effects.

Indexed as

AdultAgedAged, 80 and overBrainChildDiffusion Magnetic Resonance ImagingFemaleHumansMaleMiddle AgedRetrospective StudiesYoung Adult

Identifiers

PMID26609526
PMCPMC4644831

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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.