Evidence map›Paper›PMID 28060281›Full record

ArticleJournal of visualized experiments : JoVE2016

Utilizing 3D Printing Technology to Merge MRI with Histology: A Protocol for Brain Sectioning.

Nicholas J Luciano, Pascal Sati, Govind Nair, Joseph R Guy, Seung-Kwon Ha, Martina Absinta, Wen-Yang Chiang, Emily C Leibovitch, Steven Jacobson, Afonso C Silva and 1 more

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
1.9field-weighted citation impact, top 9% 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

25 citing papers in PubMed, 33 citations in OpenAlex.

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  5. Three-dimensional histology reveals dissociable human hippocampal long-axis gradients of Alzheimer's pathology.Alzheimer's & dementia : the journal of the Alzheimer's Association · 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

11 authors at 1 institution in 1 country.

Nicholas J LucianoTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke.
Pascal SatiTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke.
Govind NairTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke.
Joseph R GuyTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke.
Seung-Kwon HaTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke.
Martina AbsintaTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke.
Wen-Yang ChiangCerebral Microcirculation Section, National Institute of Neurological Disorders and Stroke.
Emily C LeibovitchViral Immunology Section, National Institute of Neurological Disorders and Stroke.
Steven JacobsonViral Immunology Section, National Institute of Neurological Disorders and Stroke.
Afonso C SilvaCerebral Microcirculation Section, National Institute of Neurological Disorders and Stroke.
Daniel S ReichTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke; reichds@ninds.nih.gov.
National Institute of Neurological Disorders and Stroke · US

Funding

Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
Spatial-Temporal Characterization of The Hemodynamic Response to Neural ActivityZIANS003041 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI SILVA, AFONSO · 2009 to 2019
$17.1M
Immunologic Mechanisms In Experimental Autoimmune Diseases Of The Nervous SystemZIANS002204 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI JACOBSON, STEVEN · 2009 to 2025
$8.5M
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) allows for the delineation between normal and abnormal tissue on a macroscopic scale, sampling an entire tissue volume three-dimensionally. While MRI is an extremely sensitive tool for detecting tissue abnormalities, association of signal changes with an underlying pathological process is usually not straightforward. In the central nervous system, for example, inflammation, demyelination, axonal damage, gliosis, and neuronal death may all induce similar findings on MRI. As such, interpretation of MRI scans depends on the context, and radiological-histopathological correlation is therefore of the utmost importance. Unfortunately, traditional pathological sectioning of brain tissue is often imprecise and inconsistent, thus complicating the comparison between histology sections and MRI. This article presents novel methodology for accurately sectioning primate brain tissues and thus allowing precise matching between histology and MRI. The detailed protocol described in this article will assist investigators in applying this method, which relies on the creation of 3D printed brain slicers. Slightly modified, it can be easily implemented for brains of other species, including humans.

Indexed as

Magnetic Resonance ImagingPrinting, Three-DimensionalAnimalsBrainHistological TechniquesHumans

Identifiers

PMID28060281
PMCPMC5226356
OpenAlexW2560591976

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.