Evidence map›Paper›PMID 28933409›Full record

ArticleDiseases (Basel, Switzerland)2016

Role of Diffusion Tensor Imaging in Prognostication and Treatment Monitoring in Niemann-Pick Disease Type C1.

Meghann W Lau, Ryan W Lee, Robin Miyamoto, Eun Sol Jung, Nicole Yanjanin Farhat, Shoko Yoshida, Susumu Mori, Andrea Gropman, Eva H Baker, Forbes D Porter

Open access · goldAbstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Miglustat in Niemann-Pick disease type C patients: a review.Orphanet journal of rare diseases · 2018
    Review
  5. 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

10 authors at 6 institutions in 1 country.

Meghann W LauResearch Department, Shriners Hospitals for Children, Honolulu, HI 96822, USA. meghann.lau@gmail.com.
Ryan W LeeResearch Department, Shriners Hospitals for Children, Honolulu, HI 96822, USA. rylee@shrinenet.org.
Robin MiyamotoResearch Department, Shriners Hospitals for Children, Honolulu, HI 96822, USA. rmiyamoto@shrinenet.org.
Eun Sol JungDepartment of Psychiatry, Kennedy Krieger Institute, Baltimore, MD 21205, USA. JungES@kennedykrieger.org.
Nicole Yanjanin FarhatNational Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA. nicole.farhat@nih.gov.
Shoko YoshidaDepartment of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA. shokoyoshida828@gmail.com.ORCID 0000-0001-6549-8493
Susumu MoriDepartment of Radiology, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA. susumu@mri.jhu.edu.
Andrea GropmanDivision of Neurogenetics, Children's National Medical Center, Washington, DC 20010, USA. agropman@childrensnational.org.
Eva H BakerDepartment of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD 20892, USA. bakere@cc.nih.gov.
Forbes D PorterNational Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA. fdporter@mail.nih.gov.
National Institutes of Health · USJohns Hopkins University · USUniversity of Hawaiʻi at Mānoa · USChildren's National · USKennedy Krieger Institute · USShriners Hospitals for Children - Honolulu · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Niemann-Pick Disease, type C1 (NPC1) is a rapidly progressive neurodegenerative disorder characterized by cholesterol sequestration within late endosomes and lysosomes, for which no reliable imaging marker exists for prognostication and management. Cerebellar volume deficits are found to correlate with disease severity and diffusion tensor imaging (DTI) of the corpus callosum and brainstem, which has shown that microstructural disorganization is associated with NPC1 severity. This study investigates the utility of cerebellar DTI in clinical severity assessment. We hypothesize that cerebellar volume, fractional anisotropy (FA) and mean diffusivity (MD) negatively correlate with NIH NPC neurological severity score (NNSS) and motor severity subscores. Magnetic resonance imaging (MRI) was obtained for thirty-nine NPC1 subjects, ages 1-21.9 years (mean = 11.1, SD = 6.1). Using an atlas-based automated approach, the cerebellum of each patient was measured for FA, MD and volume. Additionally, each patient was given an NNSS. Decreased cerebellar FA and volume, and elevated MD correlate with higher NNSS. The cognition subscore and motor subscores for eye movement, ambulation, speech, swallowing, and fine motor skills were also statistically significant. Microstructural disorganization negatively correlated with motor severity in subjects. Additionally, Miglustat therapy correlated with lower severity scores across ranges of FA, MD and volume in all regions except the inferior peduncle, where a paradoxical effect was observed at high FA values. These findings suggest that DTI is a promising prognostication tool.

Indexed as

cerebellumdiffusion tensor imagingDTImotor functionNiemann-PickNPC

Identifiers

PMID28933409
PMCPMC5456286
OpenAlexW2515205579

What OpenQuestion holds

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LicenceCC BY
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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.