Evidence map›Paper›PMID 29577406›Full record

ArticleMagnetic resonance in medicine2018

Quantifying myofiber integrity using diffusion MRI and random permeable barrier modeling in skeletal muscle growth and Duchenne muscular dystrophy model in mice.

Kerryanne V Winters, Olivier Reynaud, Dmitry S Novikov, Els Fieremans, Sungheon Gene Kim

Abstract read
In one paragraph

Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  6. Applications of Diffusion-Weighted MRI to the Musculoskeletal System.Journal of magnetic resonance imaging : JMRI · 2024
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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

5 authors at 2 institutions in 1 country.

Kerryanne V WintersCenter for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, New York.
Olivier ReynaudCenter for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, New York.
Dmitry S NovikovCenter for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, New York.
Els FieremansCenter for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, New York.
Sungheon Gene KimCenter for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, New York.
Advanced Imaging Research (United States) · USNew York University · US

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SHAO, YONGZHAO · 1990 to 2019
$36.1M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Hersh Chandarana · 2014 to 2026
$19.3M
DCE MRI Study for Breast Cancer.R01CA160620 · NCI · WEILL MEDICAL COLL OF CORNELL UNIV · PI KIM, SUNGHEON GENE · 2012 to 2023
$5.4M
PET/MR study of Metastatic Lymph Nodes in Head and Neck CancerR21CA188217 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KIM, SUNGHEON GENE · 2014 to 2015
$703k
Quantifying Demyelination and Axonal Loss with Diffusion MRIR21NS081230 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI FIEREMANS, ELS, KIM, SUNGHEON GENE · 2012 to 2013
$561k
NCI NIH HHS R01 CA160620NCI NIH HHS R21 CA188217NIA NIH HHS P30 AG008051NIBIB NIH HHS P41 EB017183NINDS NIH HHS R21 NS081230
6 · The paper itself

Abstract

purposeTo measure the microstructural changes during skeletal muscle growth and progressive pathologies using the random permeable model with diffusion MRI, and compare findings to conventional imaging modalities such as three-point Dixon and T

methodsIn vivo and ex vivo DTI experiments with multiple diffusion times (20-700 ms) were completed on wild-type (n = 22) and muscle-dystrophic mdx mice (n = 8) at various developmental time points. The DTI data were analyzed with the random permeable model framework that provides estimates of the unrestricted diffusion coefficient (D

resultsDuring normal muscle growth between week 4 and week 13, the in vivo S/V, fractional anisotropy, and fat fraction correlated positively with age (ρ = 0.638, 0.664, and 0.686, respectively), whereas T

conclusionThe present study demonstrates that DTI at multiple diffusion times with the random permeable model analysis allows for noninvasively quantifying muscle fiber microstructural changes during both normal muscle growth and disease progression. Future studies can apply our technique to evaluate current and potential treatments to muscle myopathies.

Indexed as

AnimalsDiffusion Magnetic Resonance ImagingDisease Models, AnimalHindlimbImage Interpretation, Computer-AssistedMaleMiceMice, Inbred C57BLMice, Inbred mdxMuscle, SkeletalMuscular Dystrophy, DuchenneMyofibrilsdiffusion tensor imagingdiffusion timerandom permeable barrier modelsarcolemma permeabilitysurface-to-volume ratio

Identifiers

PMID29577406
PMCPMC6107391
OpenAlexW2793514711

What OpenQuestion holds

Textmetadata
LicenceTDM
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.