Evidence map›Paper›PMID 25194719›Full record

ArticlePediatric neurology2014

Corpus callosum diffusion tensor imaging and volume measures are associated with disease severity in pediatric Niemann-Pick disease type C1.

Ryan Lee, Kalyna Apkarian, Eun Sol Jung, Nicole Yanjanin, Shoko Yoshida, Susumu Mori, Jina Park, Andrea Gropman, Eva H Baker, Forbes D Porter

Abstract read
In one paragraph

Article in Pediatric neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

11 citing papers in PubMed.

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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.

Ryan LeeDepartment of Neurology, Shriners Hospitals for Children-Honolulu, Honolulu, Hawaii; Department of Pediatrics, John A. Burns School of Medicine, University of Hawaii, Honolulu, Hawaii. Electronic address: rylee@shrinenet.org.
Kalyna ApkarianDepartment of Biomedical Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, Maryland.
Eun Sol JungDepartment of Psychiatry, Kennedy Krieger Institute, Baltimore, Maryland.
Nicole YanjaninEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Shoko YoshidaDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Susumu MoriDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jina ParkSchool of Medicine, New York University, New York, New York.
Andrea GropmanDivision of Neurogenetics, Children's National Medical Center, Washington DC.
Eva H BakerDepartment of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, Maryland.
Forbes D PorterEunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Inborn Errors of Cholesterol SynthesisZIAHD000139 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI PORTER, FORBES · 2009 to 2019
$11.7M
Clinical Investigations of Niemann-Pick Disease, type CZIAHD008824 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI PORTER, FORBES · 2009 to 2019
$5.2M
Intramural NIH HHSNCI NIH HHS P30 CA006973
6 · The paper itself

Abstract

backgroundNiemann-Pick disease type C1 is a neurodegenerative lysosomal storage disorder. Without a highly effective treatment, biomarkers of severity would be beneficial for prognostication and testing new interventions. Diffusion tensor imaging has shown microstructural abnormalities in adults with Niemann-Pick disease type C1. This is the first study to apply diffusion tensor imaging and volume analysis to evaluate the corpus callosum in a pediatric and adolescent population of patients with Niemann-Pick disease type C1. We hypothesized that the callosal fractional anisotropy, volume, and cross-sectional area will negatively correlate with NPC severity score.

methodsThirty-nine individuals with Niemann-Pick disease type C1 aged 1-21.9 years (mean = 11.1; S.D. = 6.1), and each received one magnetic resonance imaging examination. Severity score were obtained by examination and clinical observation. An atlas-based automated approach was used to measure fractional anisotropy, cross-sectional area, and volume. For comparative analysis and validation of this atlas-based approach, one midsagittal image was chosen and the corpus callosum manually traced to obtain cross-sectional area. Statistical analyses were applied to study the relationships between imaging and clinical severity.

resultsFor patients with Niemann-Pick disease type C1, lower corpus callosum fractional anisotropy, volume, and cross-sectional area significantly correlate with higher severity score. Severity subdomain analysis revealed ambulation, speech, seizures, and incontinence have the strongest relationships with callosal measures. Comparison of atlas-based processing and manual tracing techniques demonstrated validity for the automated method.

conclusionsFor individuals with Niemann-Pick disease type C1, the corpus callosum measures correlate with clinical severity. These findings reveal promise for the discovery of new imaging biomarkers for this disorder.

Indexed as

Diffusion Tensor ImagingAdolescentAnisotropyChildChild, PreschoolCorpus CallosumFemaleHumansImage Processing, Computer-AssistedInfantMaleNiemann-Pick Disease, Type CSeverity of Illness IndexStatistics as TopicYoung Adultcorpus callosumdiffusion tensorDTINiemann-PickNPCseverityvolume

Identifiers

PMID25194719
PMCPMC4696056

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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.