Evidence map›Paper›PMID 32728309›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2020

Automatic Measurement of Extra-Axial CSF from Infant MRI Data.

Arthur LeMaout, Han Bit Yoon, Sun Hyung Kim, Mahmoud Mostapha, Mark D Shen, Juan Prieto, Martin Styner

Open access · greenAbstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 62% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Local Extraction of Extra-Axial CSF from structural MRI.Proceedings of SPIE--the International Society for Optical Engineering
    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

7 authors at 1 institution in 1 country.

Arthur LeMaoutDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States.
Han Bit YoonDepartment of Computer Science, University of North Carolina, Chapel Hill, North Carolina, United States.
Sun Hyung KimDepartment of Computer Science, University of North Carolina, Chapel Hill, North Carolina, United States.
Mahmoud MostaphaDepartment of Computer Science, University of North Carolina, Chapel Hill, North Carolina, United States.
Mark D ShenDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States.
Juan PrietoDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States.
Martin StynerDepartment of Psychiatry, University of North Carolina, Chapel Hill, North Carolina, United States.
University of North Carolina at Chapel Hill · US

Funding

Cellular and molecular mechanisms governing cortical surface area overgrowth in iPSC-derived neural cells from longitudinally characterized individuals with autismR01HD055741 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Piven · 2007 to 2026
$52.6M
Preclinical CoreP50HD103573 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI GABRIEL S DICHTER · 2020 to 2026
$9.7M
UNC BIRCWH CAREER DEVELOPMENT PROGRAMK12HD001441 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BOGGESS, KIM A · 2000 to 2019
$9.3M
Preclinical CoreU54HD079124 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOY, SHERYL S · 2013 to 2019
$8.0M
Shape Analysis Toolbox: From medical images to quantitative insights of anatomyR01EB021391 · NIBIB · KITWARE, INC. · PI PANIAGUA, BEATRIZ · 2016 to 2024
$3.5M
Emotion-Modulated Psychophysiology of Autism Spectrum DisordersR21MH085254 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BENNING, STEPHEN D, DICHTER, GABRIEL S · 2009 to 2010
$416k
NIBIB NIH HHS R01 EB021391NICHD NIH HHS K12 HD001441NICHD NIH HHS P50 HD103573NICHD NIH HHS R01 HD055741NICHD NIH HHS U54 HD079124NIMH NIH HHS R21 MH085254
6 · The paper itself

Abstract

The quantification of cerebrospinal fluid (CSF) in the human brain has shown to play an important role in early postnatal brain development. Extra-axial fluid (EA-CSF), which is characterized by CSF in the subarachnoid space, is a promising marker for the early detection of children at risk for neurodevelopmental disorders, such as Autism Spectrum Disorder (ASD). Yet, non-ventricular CSF quantification, in particular extra-axial CSF quantification, is not supported in the major neuro-imaging software solutions, such as FreeSurfer. Most current structural image analysis packages mask out the extra-axial CSF space in one of the first pre-processing steps. A quantitative protocol was previously developed by our group to objectively measure the volume of total EA-CSF volume using a pipeline workflow implemented in a series of python scripts. While this solution worked for our specific lab, a graphical user interface-based tool is necessary to facilitate the computation of extra-axial CSF volume across a wide array of neuroimaging studies and research labs. This paper presents the development of a novel open-source, cross-platform, user-friendly software tool, called Auto-EACSF, for the automatic computation of such extra-axial CSF volume. Auto-EACSF allows neuroimaging labs to quantify extra-axial CSF in their neuroimaging studies in order to investigate its role in normal and atypical brain development.

Identifiers

PMID32728309
PMCPMC7388182
OpenAlexW3007842898

What OpenQuestion holds

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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.