Evidence map›Paper›PMID 31417372›Full record

ArticleFrontiers in integrative neuroscience2019

Reproducibility of Structural and Diffusion Tensor Imaging in the TACERN Multi-Center Study.

Anna K Prohl, Benoit Scherrer, Xavier Tomas-Fernandez, Rajna Filip-Dhima, Kush Kapur, Clemente Velasco-Annis, Sean Clancy, Erin Carmody, Meghan Dean, Molly Valle and 8 more

Abstract read
In one paragraph

Article in Frontiers in integrative neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
–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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review
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

18 authors.

Anna K ProhlComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Benoit ScherrerComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Xavier Tomas-FernandezComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Rajna Filip-DhimaDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Kush KapurDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Clemente Velasco-AnnisComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Sean ClancyComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Erin CarmodyDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Meghan DeanDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Molly ValleDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Sanjay P PrabhuDivision of Neuroradiology, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Jurriaan M PetersComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
E Martina BebinDepartment of Neurology, University of Alabama at Birmingham, Birmingham, AL, United States.
Darcy A KruegerDepartment of Neurology and Rehabilitation Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Hope NorthrupDepartment of Pediatrics, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, United States.
Joyce Y WuDivision of Pediatric Neurology, UCLA Mattel Children's Hospital, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Mustafa SahinDepartment of Neurology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.
Simon K WarfieldComputational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Harvard Medical School, Harvard University, Boston, MA, United States.

Funding

Early Biomarkers of Autism Spectrum Disorders in infants with Tuberous SclerosisU01NS082320 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI KRUEGER, DARCY, SAHIN, MUSTAFA · 2012 to 2018
$13.3M
Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI POMEROY, SCOTT LOREN · 2016 to 2020
$5.2M
Improved Motion Robust MRI of ChildrenR01EB019483 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2015 to 2024
$3.9M
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and AutismR01NS079788 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2013 to 2017
$3.6M
Prospective/Retrospective Motion Correction System for Motion Robust Pediatric MRIR44MH086984 · NIMH · ROBIN MEDICAL, INC. · PI NEVO, EREZ, WARFIELD, SIMON K · 2016 to 2018
$2.4M
NIBIB NIH HHS R01 EB019483NICHD NIH HHS U54 HD090255NIMH NIH HHS R44 MH086984NINDS NIH HHS R01 NS079788NINDS NIH HHS U01 NS082320
6 · The paper itself

Abstract

backgroundMulti-site MRI studies are often necessary for recruiting sufficiently sized samples when studying rare conditions. However, they require pooling data from multiple scanners into a single data set, and therefore it is critical to evaluate the variability of quantitative MRI measures within and across scanners used in multi-site studies. The aim of this study was to evaluate the reproducibility of structural and diffusion weighted (DW) MRI measurements acquired on seven scanners at five medical centers as part of the Tuberous Sclerosis Complex Autism Center of Excellence Research Network (TACERN) multisite study.

methodsThe American College of Radiology (ACR) phantom was imaged monthly to measure reproducibility of signal intensity and uniformity within and across seven 3T scanners from General Electric, Philips, and Siemens vendors. One healthy adult male volunteer was imaged repeatedly on all seven scanners under the TACERN structural and DW protocol (5 b = 0 s/mm

resultsThe American College of Radiology Phantom signal intensity and uniformity were similar across scanners and changed little over time, with a mean intra-scanner coefficient of variation of 3.6 and 1.8%, respectively. The mean inter- and intra-scanner coefficients of variation of brain structure volumes derived from T1-weighted (T1w) images of the human phantom were 3.3 and 1.1%, respectively. The mean inter- and intra-scanner coefficients of variation of FA in white matter regions were 4.5 and 2.5%, while the mean inter- and intra-scanner coefficients of variation of MD in white matter regions were 5.4 and 1.5%.

conclusionOur results suggest that volumetric and diffusion tensor imaging (DTI) measurements are highly reproducible between and within scanners and provide typical variation amplitudes that can be used as references to interpret future findings in the TACERN network.

Indexed as

ACRbrainMRImulticenter studyphantomquality assurancereproducibility

Identifiers

PMID31417372
PMCPMC6650594

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.