Evidence map›Paper›PMID 39962292›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging

High-Field Diffusion Tensor Imaging of Median, Tibial, and Sural Nerves in Type 2 Diabetes With Morphometric Analysis.

Luka Pušnik, Aljoša Gabor, Barbora Radochová, Jiří Janáček, František Saudek, Armin Alibegović, Igor Serša, Erika Cvetko, Nejc Umek, Žiga Snoj

Abstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

10 authors.

Luka PušnikInstitute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID 0000-0003-3418-0348
Aljoša GaborInstitute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Barbora RadochováLaboratory of Biomathematics, Institute of Physiology, The Czech Academy of Sciences, Prague, Czech Republic.
Jiří JanáčekLaboratory of Biomathematics, Institute of Physiology, The Czech Academy of Sciences, Prague, Czech Republic.
František SaudekDiabetes Centre, Institute for Clinical and Experimental Medicine, Prague, Czech Republic.
Armin AlibegovićInstitute of Forensic Medicine, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Igor SeršaInstitute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Erika CvetkoInstitute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Nejc UmekInstitute of Anatomy, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Žiga SnojDepartment of Radiology, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.ORCID 0000-0001-6864-8880

Funding

Czech Science Foundation (GACR) 22-02756KEuropean Regional Development Fund (ERDF) CZ.02.1.01/0.0/0.0/18_046/0016045Grantová Agentura České Republiky 22-02756KJavna Agencija za Raziskovalno Dejavnost RS J3-4507Javna Agencija za Raziskovalno Dejavnost RS N3-0256Javna Agencija za Raziskovalno Dejavnost RS P3-0043Ministerstvo Školství, Mládeže a Tělovýchovy CZ.02.1.01/0.0/0.0/18_046/0016045Ministry of Education, Youth and Sports of the Czech Republic (MEYS) LM2023050Slovenian Research Agency (ARiS) J3-4507Slovenian Research Agency (ARiS) N3-0256Slovenian Research Agency (ARiS) P3-0043University Medical Center Ljubljana 20240004
6 · The paper itself

Abstract

background and purposeThe primary objective was to compare diffusion tensor imaging (DTI) scalar parameters of peripheral nerves between subjects with type 2 diabetes mellitus (T2DM) and those without diabetes. Secondarily, we aimed to correlate DTI scalar parameters with nerve morphometric properties.

methodsMedian, tibial, and sural nerves were harvested from 34 male cadavers (17 T2DM, 17 nondiabetic). Each nerve was divided into three segments. The initial segment was scanned using 9.4 Tesla MRI system (three-dimensional pulsed-gradient spin-echo sequence). DTI scalars were calculated from region-average diffusion-weighted signals. Second segment was optically cleared, acquired with optical projection tomography (OPT), and analyzed for morphometrical properties. Toluidine-stained sections were prepared from last segment, and axon- and myelin-related properties were evaluated.

resultsDTI scalar parameters of median and tibial nerves were comparable between the groups, while sural nerves of T2DM exhibited on average 41% higher mean diffusivity (MD) (p = 0.03), 38% higher radial diffusivity (RD) (p = 0.03), and 27% lower fractional anisotropy (FA) (p = 0.005). Significant differences in toluidine-evaluated parameters of sural nerves were observed between the groups, with a positive correlation between FA with fiber density (p = 0.0001) and with myelin proportion (p < 0.0001) and an inverse correlation between RD and myelin proportion (p = 0.003). OPT-measured morphometric properties did not correlate with DTI scalar parameters.

conclusionsHigh-field DTI shows promise as an imaging technique for detecting axonal and myelin-related changes in small sural nerves ex vivo. The reduced fiber density and decreased myelin content, which can be observed in T2DM, likely contribute to observed FA reduction and increased MD/RD.

Indexed as

Diabetes Mellitus, Type 2Diabetic NeuropathiesDiffusion Tensor ImagingMedian NerveSural NerveTibial NerveAdultAgedAnisotropyCadaverHumansMaleMiddle AgedReproducibility of ResultsSensitivity and Specificitydiffusion tensorfractional anisotropyhistologymagnetic resonance imagingmicroscopyoptical projection tomography

Identifiers

PMID39962292
PMCPMC11832795

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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.