Evidence map›Paper›PMID 23169482›Full record

ArticleHuman brain mapping2013

Probing tissue microstructure with restriction spectrum imaging: Histological and theoretical validation.

Nathan S White, Trygve B Leergaard, Helen D'Arceuil, Jan G Bjaalie, Anders M Dale

Registry-linked trialAbstract read
In one paragraph

Article in Human brain mapping, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03440554 (Non-contrast MR Imaging for Whole Body Cancer Detection and Characterization), which is not on this map. Cited by 183 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
183citing papers in PubMed, 1 pooled it
9.0field-weighted citation impact, top 2% 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.

NCT03440554 naunknown statusnot on this mapstarted 2016, after this paper: background citation

Non-contrast MR Imaging for Whole Body Cancer Detection and Characterization

TypeinterventionalSponsorUniversity of California, San DiegoRan2016 to 2023Enrolled150ConditionsProstate CancerArmsWhole Body Non-Contrast MRI
3 · Its place in the literature

Who cites it

183 citing papers in PubMed, 1 synthesis or guideline pooled it, 283 citations in OpenAlex.

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123 more citing papers are in PubMed but not listed here.

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 3 institutions in 2 countries.

Nathan S WhiteDepartment of Radiology, University of California, San Diego, La Jolla, California, USA. nswhite@ucsd.edu
Trygve B Leergaard
Helen D'Arceuil
Jan G Bjaalie
Anders M Dale
University of California, San Diego · USUniversity of Oslo · NOHarvard University · US

Funding

MORPHOMETRY BIOMEDICAL INFORMATICS RESEARCH NETWORKU24RR021382 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 2004 to 2008
$24.1M
ULTRAHIGH FIELD TECHNOLOGY FOR FUNCTIONAL IMAGINGP41RR014075 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ROSEN, BRUCE R · 1999 to 2011
$16.4M
Spatiotemporal Brain Imaging: Microscopic &System LevelR01EB000790 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALE, ANDERS M · 2002 to 2015
$15.3M
Creating a Pediatric Imaging-Genomics Data ResourceRC2DA029475 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHANG, LINDA, DALE, ANDERS M · 2009 to 2011
$9.1M
MRI of Brain Ischemia and Reperfusion in a Primate ModelR01NS041285 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI DE CRESPIGNY, ALEX · 2002 to 2005
$1.7M
4.7T Magnetic Resonance ConsoleS10RR016811 · NCRR · MASSACHUSETTS GENERAL HOSPITAL · PI ACKERMAN, JEROME L · 2002 to 2002
$500k
NCRR NIH HHS P41 RR014075NCRR NIH HHS P41-RR14075NCRR NIH HHS S10 RR016811NCRR NIH HHS S10-RR016811NCRR NIH HHS U24 RR021382NCRR NIH HHS U24-RR021382NIBIB NIH HHS R01 EB000790NIBIB NIH HHS R01-EB00790NIDA NIH HHS RC2 DA029475NIDA NIH HHS RC2-DA029475NINDS NIH HHS R01 NS041285NINDS NIH HHS R01-NS41285
6 · The paper itself

Abstract

Water diffusion magnetic resonance imaging (dMRI) is a powerful tool for studying biological tissue microarchitectures in vivo. Recently, there has been increased effort to develop quantitative dMRI methods to probe both length scale and orientation information in diffusion media. Diffusion spectrum imaging (DSI) is one such approach that aims to resolve such information based on the three-dimensional diffusion propagator at each voxel. However, in practice, only the orientation component of the propagator function is preserved when deriving the orientation distribution function. Here, we demonstrate how a straightforward extension of the linear spherical deconvolution (SD) model can be used to probe tissue orientation structures over a range (or "spectrum") of length scales with minimal assumptions on the underlying microarchitecture. Using high b-value Cartesian q-space data on a rat brain tissue sample, we demonstrate how this "restriction spectrum imaging" (RSI) model allows for separating the volume fraction and orientation distribution of hindered and restricted diffusion, which we argue stems primarily from diffusion in the extraneurite and intraneurite water compartment, respectively. Moreover, we demonstrate how empirical RSI estimates of the neurite orientation distribution and volume fraction capture important additional structure not afforded by traditional DSI or fixed-scale SD-like reconstructions, particularly in gray matter. We conclude that incorporating length scale information in geometric models of diffusion offers promise for advancing state-of-the-art dMRI methods beyond white matter into gray matter structures while allowing more detailed quantitative characterization of water compartmentalization and histoarchitecture of healthy and diseased tissue.

Indexed as

AlgorithmsAnimalsAxonsBody WaterBrainBrain MappingCell MembraneCerebellumCerebral CortexCorpus CallosumDiffusion Tensor ImagingGlobus PallidusImage Processing, Computer-AssistedModels, AnatomicMonte Carlo MethodNeostriatum

Identifiers

PMID23169482
PMCPMC3538903
OpenAlexW1979849031

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.