Evidence map›Paper›PMID 35902793›Full record

ReviewBMC neuroscience2022

Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder?

Farzaneh Nikparast, Zohreh Ganji, Hoda Zare

Open access · goldAbstract readReview
In one paragraph

Review in BMC neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. QSM Throughout the Body.Journal of magnetic resonance imaging : JMRI · 2023
    Review
  8. Review
  9. Challenges and Recent Advances in Diagnosing Wilson Disease.Journal of clinical and experimental hepatology
    Review
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

3 authors at 1 institution in 1 country.

Farzaneh NikparastMedical Physics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Zohreh GanjiMedical Physics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Hoda ZareMedical Physics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. hodazare1354@gmail.com.
Mashhad University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During neurodegenerative diseases, the brain undergoes morphological and pathological changes; Iron deposits are one of the causes of pathological changes in the brain. The Quantitative susceptibility mapping (QSM) technique, a type of magnetic resonance (MR) image reconstruction, is one of the newest diagnostic methods for iron deposits to detect changes in magnetic susceptibility. Numerous research projects have been conducted in this field. The purpose of writing this review article is to identify the first deep brain nuclei that undergo magnetic susceptibility changes during neurodegenerative diseases such as Alzheimer's or Parkinson's disease. The purpose of this article is to identify the brain nuclei that are prone to iron deposition in any specific disorder. In addition to the mentioned purpose, this paper proposes the optimal scan parameters and appropriate algorithms of each QSM reconstruction step by reviewing the results of different articles. As a result, The QSM technique can identify nuclei exposed to iron deposition in various neurodegenerative diseases. Also, the selection of scan parameters is different based on the sequence and purpose; an example of the parameters is placed in the tables. The BET toolbox in FSL, Laplacian-based phase-unwrapping process, the V_SHARP algorithm, and morphology-enabled dipole inversion (MEDI) method are the most widely used algorithms in various stages of QSM reconstruction.

Indexed as

Brain MappingNeurodegenerative DiseasesAlgorithmsBiomarkersBrainHumansImage Processing, Computer-AssistedIronMagnetic Resonance ImagingBiomarkersIronAlzheimer’s diseaseAtypical primary ParkinsonismBeta-amyloid PETParkinson’s diseaseQuantitative susceptibility mapping

Identifiers

PMID35902793
PMCPMC9336059
OpenAlexW4288435638

What OpenQuestion holds

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LicenceCC BY
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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.