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Abstract/Summary
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<jats:title>Abstract</jats:title><jats:sec>
<jats:title>Background</jats:title>
<jats:p>In contrast to the brain, fibers within peripheral nerves have distinct monodirectional structure questioning the necessity of complex multidirectional gradient vector schemes for DTI. This proof-of-concept study investigated the diagnostic utility of reduced gradient vector schemes in peripheral nerve DTI.</jats:p>
</jats:sec><jats:sec>
<jats:title>Methods</jats:title>
<jats:p>Three-Tesla magnetic resonance neurography of the tibial nerve using 20-vector DTI (DTI<jats:sub>20</jats:sub>) was performed in 10 healthy volunteers, 12 patients with type 2 diabetes, and 12 age-matched healthy controls. From the full DTI<jats:sub>20</jats:sub> dataset, three reduced datasets including only two or three vectors along the <jats:italic>x</jats:italic>- and/or <jats:italic>y</jats:italic>- and <jats:italic>z</jats:italic>-axes were built to calculate major parameters. The influence of nerve angulation and intraneural connective tissue was assessed. The area under the receiver operating characteristics curve (ROC-AUC) was used for analysis.</jats:p>
</jats:sec><jats:sec>
<jats:title>Results</jats:title>
<jats:p>Simplified datasets achieved excellent diagnostic accuracy equal to DTI<jats:sub>20</jats:sub> (ROC-AUC 0.847–0.868, <jats:italic>p</jats:italic> ≤ 0.005), but compared to DTI<jats:sub>20</jats:sub>, the reduced models yielded mostly lower absolute values of DTI scalars: median fractional anisotropy (FA) ≤ 0.12; apparent diffusion coefficient (ADC) ≤ 0.25; axial diffusivity ≤ 0.96, radial diffusivity ≤ 0.07). The precision of FA and ADC with the three-vector model was closest to DTI<jats:sub>20</jats:sub>. Intraneural connective tissue was negatively correlated with FA and ADC (<jats:italic>r</jats:italic> ≥ -0.49, <jats:italic>p</jats:italic> < 0.001). Small deviations of nerve angulation had little effect on FA accuracy.</jats:p>
</jats:sec><jats:sec>
<jats:title>Conclusions</jats:title>
<jats:p>In peripheral nerves, bulk tissue DTI metrics can be approximated with only three predefined gradient vectors along the scanner’s main axes, yielding similar diagnostic accuracy as a 20-vector DTI, resulting in substantial scan time reduction.</jats:p>
</jats:sec><jats:sec>
<jats:title>Relevance statement</jats:title>
<jats:p>DTI bulk tissue parameters of peripheral nerves can be calculated with only three predefined gradient vectors at similar diagnostic performance as a standard DTI but providing a substantial scan time reduction.</jats:p>
</jats:sec><jats:sec>
<jats:title>Key points</jats:title>
<jats:p>• In peripheral nerves, DTI parameters can be approximated using only three gradient vectors.</jats:p>
<jats:p>• The simplified model achieves a similar diagnostic performance as a standard DTI.</jats:p>
<jats:p>• The simplified model allows for a significant acceleration of image acquisition.</jats:p>
<jats:p>• This can help to introduce multi-b-value DTI techniques into clinical practice.</jats:p>
</jats:sec><jats:sec>
<jats:title>Graphical Abstract</jats:title>
</jats:sec>
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Hinweis
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DeepGreen-ID: 6aa17d5b42024d7dac02a15a8166224d ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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