Evidence map›Paper›PMID 29266375›Full record

ArticleMagnetic resonance in medicine2018

Double diffusion encoding MRI for the clinic.

Grant Yang, Qiyuan Tian, Christoph Leuze, Max Wintermark, Jennifer A McNab

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 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–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

41 citing papers in PubMed.

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  15. Nonparametric 5D D-RJournal of magnetic resonance (San Diego, Calif. : 1997) · 2022
    Article
  16. Review
  17. Recent Advances in Parameter Inference for Diffusion MRI Signal Models.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Review
  18. Advanced Diffusion MR Imaging for Multiple Sclerosis in the Brain and Spinal Cord.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2022
    Review
  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

5 authors.

Grant YangDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Qiyuan TianDepartment of Electrical Engineering, Stanford University, Stanford, California, USA.
Christoph LeuzeDepartment of Radiology, Stanford University, Stanford, California, USA.
Max WintermarkDepartment of Radiology, Stanford University, Stanford, California, USA.
Jennifer A McNabDepartment of Radiology, Stanford University, Stanford, California, USA.

Funding

Training and DisseminationP41EB015891 · NIBIB · STANFORD UNIVERSITY · PI GLOVER, GARY H · 2012 to 2019
$10.7M
Foundations of MRI Corticography for mesoscale organization and neuronal circuitryR01MH111444 · NIMH · UNIVERSITY OF CALIFORNIA BERKELEY · PI FEINBERG, DAVID ALAN · 2016 to 2020
$5.1M
Integration of Diffusion MRI Fiber Tracking and CLARITY 3D Histology for Improved Neurosurgical TargetingR01NS095985 · NINDS · STANFORD UNIVERSITY · PI Jennifer A McNab · 2016 to 2026
$3.8M
NIBIB NIH HHS P41 EB015891NIMH NIH HHS R01 MH111444NINDS NIH HHS R01 NS095985
6 · The paper itself

Abstract

purposeThe purpose of this study is to develop double diffusion encoding (DDE) MRI methods for clinical use. Microscopic diffusion anisotropy measurements from DDE promise greater specificity to changes in tissue microstructure compared with conventional diffusion tensor imaging, but implementation of DDE sequences on whole-body MRI scanners is challenging because of the limited gradient strengths and lengthy acquisition times.

methodsA custom single-refocused DDE sequence was implemented on a 3T whole-body scanner. The DDE gradient orientation scheme and sequence parameters were optimized based on a Gaussian diffusion assumption. Using an optimized 5-min DDE acquisition, microscopic fractional anisotropy (μFA) maps were acquired for the first time in multiple sclerosis patients.

resultsBased on simulations and in vivo human measurements, six parallel and six orthogonal diffusion gradient pairs were found to be the minimum number of diffusion gradient pairs necessary to produce a rotationally invariant measurement of μFA. Simulations showed that optimal precision and accuracy of μFA measurements were obtained using b-values between 1500 and 3000 s/mm

conclusionThe μFA maps can be measured using DDE in a clinical setting and may provide new opportunities for characterizing multiple sclerosis lesions and other types of tissue degeneration. Magn Reson Med 80:507-520, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Indexed as

AdultBrainComputer SimulationDiffusion Magnetic Resonance ImagingFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedMultiple SclerosisWhite Matterdouble diffusion encodingmicrostructureMRImultiple sclerosis

Identifiers

PMID29266375
PMCPMC5910247

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Registered trials

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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.