Evidence map›Paper›PMID 25631357›Full record

ArticleSkeletal radiology2015

Peripheral nerve MRI: precision and reproducibility of T2*-derived measurements at 3.0-T : a feasibility study.

Alberto Tagliafico, Bianca Bignotti, Giulio Tagliafico, Carlo Martinoli

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Skeletal radiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

4 authors at 2 institutions in 1 country.

Alberto TagliaficoInstitute of Anatomy, Department of Experimental Medicine, University of Genoa, Via L.B. Alberti, 16132, Genoa, Italy, alberto.tagliafico@unige.it.
Bianca Bignotti
Giulio Tagliafico
Carlo Martinoli
University of Genoa · ITIstituto di Matematica Applicata e Tecnologie Informatiche · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo prospectively evaluate the precision and reproducibility of T2*-derived measurements of the peripheral nerves. MATERIALS AND

methodsThe study was approved by the local ethics committee and written informed consent was obtained. Bilateral upper and lower limb MRI examination was performed in 40 healthy subjects on a 3.0-T scanner. MRI protocol included T1-turbo spin-echo, T2-turbo spin-echo with fat suppression, and multiecho gradient recalled echo. Measurements of T2* times on T2* maps at different anatomical levels were performed. Three authors measured independently and in different sessions at baseline and after 4 weeks. Non-parametric tests and Bland-Altman statistics were used.

resultsMinimum and maximum percentage variability were 10 % and 19 % for T2* (84-91 % of reproducibility). Maximum values of minimum detectable differences between limbs was 16 % (with 95 % CI: 2-37). Intra- and inter-observer agreement of the three radiologists for T2* was considered good. Evaluating the combined influence of the observer and of the repeated measurements the reproducibility was 87-98 %.

conclusionsT2* measurement of the peripheral nerves is precise and reproducible. The healthy contralateral side can be used as an internal control. Variations in T2* values up to 16 % have to be considered.

Indexed as

Diagnostic Techniques, NeurologicalAdultFeasibility StudiesFemaleHumansMagnetic Resonance ImagingMalePeripheral NervesReference ValuesReproducibility of ResultsSensitivity and SpecificityYoung Adult

Identifiers

PMID25631357
OpenAlexW1667497836

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.