Evidence map›Paper›PMID 32430643›Full record

ArticleNeuroradiology2020

Visualising the topography of the acoustic radiation in clinical diffusion tensor imaging scans.

S Bryn Dhir, Kwame S Kutten, Muwei Li, Andreia V Faria, Laurent Younes, J Tilak Ratnanather

Abstract read
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In one paragraph

Article in Neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

S Bryn DhirCenter for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID https://orcid.org/0000-0003-4476-3408
Kwame S KuttenCenter for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID https://orcid.org/0000-0001-6735-1460
Muwei LiVanderbilt University, Nashville, TN, 37235, USA.ORCID https://orcid.org/0000-0003-3596-9287
Andreia V FariaRussell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.ORCID https://orcid.org/0000-0002-1673-002X
Laurent YounesCenter for Imaging Science and Institute for Computational Medicine, Department of Applied Mathematics and Statistics, Johns Hopkins University, Baltimore, MD, 21218, USA.ORCID https://orcid.org/0000-0003-2017-9565
J Tilak RatnanatherCenter for Imaging Science and Institute for Computational Medicine, Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA. tilak@cis.jhu.edu.ORCID https://orcid.org/0000-0002-8631-489X

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
NIBIB NIH HHS P41 EB015909
6 · The paper itself

Abstract

purposeIt has long been thought that the acoustic radiation (AR) white matter fibre tract from the medial geniculate body of the thalamus to the Heschl's gyrus cannot be reconstructed via single-fibre analysis of clinical diffusion tensor imaging (DTI) scans. A recently developed single-fibre probabilistic method suggests otherwise. The method uses dynamic programming (DP) to compute the most probable paths between two regions of interest. This study aims to observe the ability of single-fibre probabilistic analysis via DP to visualise the AR in clinical DTI scans from legacy pilot cohorts of subjects with normal hearing (NH) and profound hearing loss (HL).

methodsSingle-fibre probabilistic analysis via DP was applied to reconstruct 3D models of the AR in the two cohorts. DTI and T1 data at 1.5 T for subjects with NH (n = 11) and HL (n = 5), as well as 3 T for NH (n = 1) and HL (n = 1), were used.

resultsThe topographical features of AR previously observed in post-mortem and multi-fibre analyses can be visualised in DTI scans of 16 subjects and 2 atlases with a success rate of 100%. Relative to MNI coordinates, there was no significant difference in the varifold distances between the topography of the tracts in the 1.5 T cohort.

conclusionThe AR can be visualised in clinical 1.5 T and 3 T DTI scans using single-fibre probabilistic analysis via DP, hence, the potential for DP to visualise the AR in medical and pre-surgical applications in pathologies such as vestibular schwannoma, multiple sclerosis, thalamic tumours and stroke as well as hearing loss.

Indexed as

AcousticsHearing LossWhite MatterAdultAuditory PathwaysDiffusion Tensor ImagingFemaleHumansImaging, Three-DimensionalMaleMiddle AgedRetrospective StudiesThalamusAcoustic radiationDiffusion tensor imagingDynamic programmingProbabilistic tractography

Identifiers

PMID32430643
PMCPMC7415720

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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.