Evidence map›Paper›PMID 29700048›Full record

ArticleAJNR. American journal of neuroradiology2018

Segmentation of the Globus Pallidus Internus Using Probabilistic Diffusion Tractography for Deep Brain Stimulation Targeting in Parkinson Disease.

E H Middlebrooks, I S Tuna, S S Grewal, L Almeida, M G Heckman, E R Lesser, K D Foote, M S Okun, V M Holanda

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  4. Article
  5. Article
  6. Modality preserving U-Net for segmentation of multimodal medical images.Quantitative imaging in medicine and surgery · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Review
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  12. Review
  13. A Comprehensive Review of Brain Connectomics and Imaging to Improve Deep Brain Stimulation Outcomes.Movement disorders : official journal of the Movement Disorder Society · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Dorsal GPi/GPe Stimulation Induced Dyskinesia in a Patient with Parkinson's Disease.Tremor and other hyperkinetic movements (New York, N.Y.) · 2019
    Article
  19. Article
  20. 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

9 authors.

E H MiddlebrooksFrom the Departments of Radiology (E.H.M.) Middlebrooks.Erik@mayo.edu.ORCID 0000-0002-4418-9605
I S TunaDepartments of Radiology (I.S.T.).ORCID 0000-0003-4170-6483
S S GrewalNeurosurgery (S.S.G.).ORCID 0000-0002-4307-7062
L AlmeidaNeurology (L.A., M.S.O.).ORCID 0000-0002-0921-887X
M G HeckmanDivision of Biomedical Statistics and Informatics (M.G.H., E.R.L.), Mayo Clinic, Jacksonville, Florida.ORCID 0000-0003-3770-9331
E R LesserDivision of Biomedical Statistics and Informatics (M.G.H., E.R.L.), Mayo Clinic, Jacksonville, Florida.ORCID 0000-0001-9414-7107
K D FooteNeurosurgery (K.D.F.), University of Florida, Gainesville, Florida.ORCID 0000-0002-2436-4138
M S OkunNeurology (L.A., M.S.O.).ORCID 0000-0002-6247-9358
V M HolandaCenter of Neurology and Neurosurgery Associates (V.M.H.), BP-A Beneficência Portuguesa de São Paulo, São Paulo, Brazil.ORCID 0000-0002-5600-2916

Funding

Mobile Decision Support System for Nurse Management of Neuromodulation TherapyR01NR014852 · NINR · UNIVERSITY OF UTAH · PI BUTSON, CHRISTOPHER R, OKUN, MICHAEL S · 2015 to 2019
$2.9M
THE HUMAN THALAMOCORTICAL NETWORK IN TOURETTE SYNDROMER01NS096008 · NINDS · UNIVERSITY OF FLORIDA · PI GUNDUZ, AYSEGUL, OKUN, MICHAEL S · 2016 to 2020
$1.8M
NINDS NIH HHS R01 NS096008NINR NIH HHS R01 NR014852
6 · The paper itself

Abstract

background and purposeAlthough globus pallidus internus deep brain stimulation is a widely accepted treatment for Parkinson disease, there is persistent variability in outcomes that is not yet fully understood. In this pilot study, we aimed to investigate the potential role of globus pallidus internus segmentation using probabilistic tractography as a supplement to traditional targeting methods. MATERIALS AND

methodsEleven patients undergoing globus pallidus internus deep brain stimulation were included in this retrospective analysis. Using multidirection diffusion-weighted MR imaging, we performed probabilistic tractography at all individual globus pallidus internus voxels. Each globus pallidus internus voxel was then assigned to the 1 ROI with the greatest number of propagated paths. On the basis of deep brain stimulation programming settings, the volume of tissue activated was generated for each patient using a finite element method solution. For each patient, the volume of tissue activated within each of the 10 segmented globus pallidus internus regions was calculated and examined for association with a change in the Unified Parkinson Disease Rating Scale, Part III score before and after treatment.

resultsIncreasing volume of tissue activated was most strongly correlated with a change in the Unified Parkinson Disease Rating Scale, Part III score for the primary motor region (Spearman

conclusionsIn this pilot study, we assessed a novel method of segmentation of the globus pallidus internus based on probabilistic tractography as a supplement to traditional targeting methods. Our results suggest that our method may be an independent predictor of deep brain stimulation outcome, and evaluation of a larger cohort or prospective study is warranted to validate these findings.

Indexed as

AdultCohort StudiesDeep Brain StimulationDiffusion Tensor ImagingFemaleGlobus PallidusHumansImage Interpretation, Computer-AssistedMaleMiddle AgedParkinson DiseasePilot ProjectsRetrospective StudiesTreatment Outcome

Identifiers

PMID29700048
PMCPMC7410622

What OpenQuestion holds

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Registered trials

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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.