Evidence map›Paper›PMID 33339434›Full record

ArticleBrain sciences2020

Detection of White Matter Ultrastructural Changes for Amyotrophic Lateral Sclerosis Characterization: A Diagnostic Study from Dti-Derived Data.

Fabiola De Marchi, Alessandro Stecco, Zeno Falaschi, Francesco Filippone, Alessio Pasché, Alen Bebeti, Massimiliano Leigheb, Roberto Cantello, Letizia Mazzini

Open access · goldAbstract read
In one paragraph

Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  3. Review
  4. Review
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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

9 authors at 1 institution in 1 country.

Fabiola De MarchiALS Center & Department of Neurology, "Maggiore della Carità" Hospital, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0003-0197-1880
Alessandro SteccoDepartment of Radiology, "Maggiore della Carità" Hospital, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0002-0712-7595
Zeno FalaschiDepartment of Radiology, "Maggiore della Carità" Hospital, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0003-3583-2731
Francesco FilipponeDepartment of Radiology, "Maggiore della Carità" Hospital, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.
Alessio PaschéDepartment of Radiology, "Maggiore della Carità" Hospital, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0001-8560-3158
Alen BebetiALS Center & Department of Neurology, "Maggiore della Carità" Hospital, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.
Massimiliano LeighebOrthopaedics and Traumatology Unit, "Maggiore della Carità" Hospital, Department of Health Sciences, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0002-7818-2209
Roberto CantelloALS Center & Department of Neurology, "Maggiore della Carità" Hospital, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0001-6999-5729
Letizia MazziniALS Center & Department of Neurology, "Maggiore della Carità" Hospital, University of Piemonte Orientale (UPO), Via Solaroli 17, 28100 Novara, Italy.ORCID 0000-0003-2479-9120
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

AGING Project for Department of Excellence, UPO --
6 · The paper itself

Abstract

In amyotrophic lateral sclerosis (ALS), magnetic resonance imaging (MRI) allows investigation at the microstructural level, employing techniques able to reveal white matter changes. In the current study, a diffusion tensor imaging (DTI) analysis, with a collection of apparent diffusion coefficient (ADC) and fractional anisotropy (FA) indexes, was performed in ALS patients to correlate geno- and phenotype features with MRI data, to investigate an in-vivo correlation of different neuropathological patterns. All patients who underwent the MR-DTI analysis were retrospectively recruited. MRI scan was collected within three months from diagnosis. FA and ADC values were collected in corpus callosum (CC), corona radiata (CR), cerebral peduncle (CR), cerebellar peduncle (CbP) and corticospinal tract at posterior limb of internal capsule (CST). DTI analysis performed in the whole ALS cohort revealed significant FA reduction and ADC increase in all selected regions, as widespread changes. Moreover, we observed a higher value of FA in rCR in bulbar patients. A positive correlation between ALS Functional Rating Scale-Revised and FA in rCP was evident. In consideration of the non-invasiveness, the reliability and the easy reproducibility of the method, we believe that brain MRI with DTI analyses may represent a valid tool usable as a diagnostic marker in ALS.

Indexed as

amyotrophic lateral sclerosisdiffusion tensor imagingmagnetic resonancemarkers

Identifiers

PMID33339434
PMCPMC7766961
OpenAlexW3111787367

What OpenQuestion holds

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LicenceCC BY
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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.