Evidence map›Paper›PMID 26713760›Full record

ArticlePloS one2015

Potential of Diffusion Tensor Imaging and Relaxometry for the Detection of Specific Pathological Alterations in Parkinson's Disease (PD).

Regina Esterhammer, Klaus Seppi, Eva Reiter, Bernadette Pinter, Christoph Mueller, Christian Kremser, Tanja Zitzelsberger, Michael Nocker, Christoph Scherfler, Werner Poewe and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 15% of its field
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

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Leveraging ultra-high field (7T) MRI in psychiatric research.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Magnetic resonance imaging for the diagnosis of Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2017
    Review
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Regina EsterhammerDepartment of Radiology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Klaus SeppiDepartment of Neurology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Eva ReiterDepartment of Neurology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Bernadette PinterDepartment of Neurology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Christoph MuellerDepartment of Neurology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Christian KremserDepartment of Radiology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Tanja ZitzelsbergerDepartment of Radiology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Michael NockerDepartment of Neurology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Christoph ScherflerDepartment of Neurology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Werner PoeweDepartment of Neurology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Michael SchockeDepartment of Radiology, University Hospital, Innsbruck Medical University, Anichstrasse 35, 6020, Innsbruck, Austria.
Innsbruck Medical University · ATUniversity Hospital Innsbruck · AT

Funding

Austrian Science Fund FWF KLI 82
6 · The paper itself

Abstract

The purpose of the present study was to evaluate the potential of multimodal MR imaging including mean diffusivity (MD), fractional anisotropy (FA), relaxation rates R2 and R2* to detect disease specific alterations in Parkinson's Disease (PD). We enrolled 82 PD patients (PD-all) with varying disease durations (≤5 years: PD≤5, n = 43; >5 years: PD>5, n = 39) and 38 matched healthy controls (HC), receiving diffusion tensor imaging as well as R2 and R2* relaxometry calculated from multi-echo T2*-weighted and dual-echo TSE imaging, respectively. ROIs were drawn to delineate caudate nucleus (CN), putamen (PU), globus pallidus (GP) and substantia nigra (SN) on the co-registered maps. The SN was divided in 3 descending levels (SL 1-3). The most significant parameters were used for a flexible discrimination analysis (FDA) in a training collective consisting of 25 randomized subjects from each group in order to predict the classification of remaining subjects. PD-all showed significant increases in MD, R2 and R2* within SN and its subregions as well as in MD and R2* within different basal ganglia regions. Compared to the HC group, the PD≤5 and the PD>5 group showed significant MD increases within the SN and its lower two subregions, while the PD≤5 group exhibited significant increases in R2 and R2* within SN and its subregions, and tended to elevation within the basal ganglia. The PD>5 group had significantly increased MD in PU and GP, whereas the PD≤5 group presented normal MD within the basal ganglia. FDA achieved right classification in 84% of study participants. Micro-structural damage affects primarily the SN of PD patients and in later disease stages the basal ganglia. Iron contents of PU, GP and SN are increased at early disease stages of PD.

Indexed as

Diffusion Tensor ImagingAdultAgedAged, 80 and overBasal GangliaCase-Control StudiesFemaleHumansMaleMiddle AgedMultimodal ImagingParkinson DiseaseSubstantia Nigra

Identifiers

PMID26713760
PMCPMC4705111
OpenAlexW2282330932

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.