Evidence map›Paper›PMID 25793107›Full record

ArticleActa radiologica open2015

Possible confounding factors on cerebral diffusion tensor imaging measurements.

Miina Nenonen, Ullamari Hakulinen, Antti Brander, Juha Ohman, Prasun Dastidar, Teemu M Luoto

Abstract read
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Article in Acta radiologica open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Observational
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Miina NenonenDepartment of Neurosciences and Rehabilitation, Tampere University Hospital Tampere, Finland.
Ullamari HakulinenDepartment of Neurosciences and Rehabilitation, Tampere University Hospital Tampere, Finland.
Antti BranderDepartment of Neurosciences and Rehabilitation, Tampere University Hospital Tampere, Finland.
Juha OhmanDepartment of Neurosciences and Rehabilitation, Tampere University Hospital Tampere, Finland.
Prasun DastidarDepartment of Neurosciences and Rehabilitation, Tampere University Hospital Tampere, Finland.
Teemu M LuotoDepartment of Neurosciences and Rehabilitation, Tampere University Hospital Tampere, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffusion tensor imaging (DTI) is prone to numerous systemic confounding factors that should be acknowledged to avoid false conclusions. PURPOSE: To investigate the possible effects of age, gender, smoking, alcohol consumption, and education on cerebral DTI parameters in a generally healthy homogenous sample with no neurological or psychiatric diseases. MATERIAL AND

methodsForty (n = 40) subjects (mean age, 40.3 years; SD, 12.3) underwent brain DTI with 3 T magnetic resonance imaging (MRI). At enrolment, all the subjects were interviewed with respect to general health, education, history of smoking, and alcohol consumption. Studied DTI parameters included: (i) fractional anisotropy (FA); and (ii) apparent diffusion coefficient (ADC). Region-of-interest (ROI)-based measurements were estimated at 13 anatomical locations bilaterally on the axial images, except for the corpus callosum in which the ROIs were placed on the sagittal images. Circular ROI measurements were mainly used. Freehand ROI method was used with the forceps minor, uncinate fasciculus, and thalamus. Intra-observer variability and repeatability were assessed.

resultsThe most consistent finding was that aging decreased FA values in the frontal brain regions. Regarding the other confounding factors, the results were discontinuous and no concrete conclusions could be drawn from these findings. In general, intra-observer repeatability of the DTI measurement was considered relatively good.

conclusionAge should be noted as considerable confounding factors in ROI-based DTI analysis. More research on the effects of gender, smoking, alcohol consumption, and education is needed.

Indexed as

adultsbrainCentral nervous systemdiffusion tensor imaging

Identifiers

PMID25793107
PMCPMC4364398

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