Evidence map›Paper›PMID 30804884›Full record

ReviewFrontiers in neurology2019

Advances in Quantitative Imaging of Genetic and Acquired Myopathies: Clinical Applications and Perspectives.

Matteo Paoletti, Anna Pichiecchio, Stefano Cotti Piccinelli, Giorgio Tasca, Angela L Berardinelli, Alessandro Padovani, Massimiliano Filosto

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Frontiers in neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05692349 (Role of Magnetic Resonance Imaging and Ultrasonography in Evaluation of Muscle Diseases), which is not on this map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
3.7field-weighted citation impact, top 7% 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.

NCT05692349 unknown statusnot on this mapstarted 2023, after this paper: background citation

Role of Magnetic Resonance Imaging and Ultrasonography in Evaluation of Muscle Diseases

TypeobservationalSponsorAssiut UniversityRan2023 to 2024Enrolled36ConditionsCongenital Myopathy, Acquired Myopathy, MyositisArmsMRI
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Review
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  7. Review
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  15. Journal of orthopaedic translation · 2023
    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

7 authors at 4 institutions in 1 country.

Matteo PaolettiNeuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
Anna PichiecchioNeuroradiology Department, IRCCS Mondino Foundation, Pavia, Italy.
Stefano Cotti PiccinelliUnit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy.
Giorgio TascaNeurology Department, Dipartimento di Scienze dell'Invecchiamento, Neurologiche, Ortopediche e della Testa-Collo, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Angela L BerardinelliChild Neurology Unit, IRCCS Mondino Foundation, Pavia, Italy.
Alessandro PadovaniUnit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy.
Massimiliano FilostoUnit of Neurology, Center for Neuromuscular Diseases, ASST Spedali Civili and University of Brescia, Brescia, Italy.
University of Brescia · ITUniversity of Pavia · ITFondazione Istituto Neurologico Nazionale Casimiro Mondino · ITIstituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last years, magnetic resonance imaging (MRI) has become fundamental for the diagnosis and monitoring of myopathies given its ability to show the severity and distribution of pathology, to identify specific patterns of damage distribution and to properly interpret a number of genetic variants. The advances in MR techniques and post-processing software solutions have greatly expanded the potential to assess pathological changes in muscle diseases, and more specifically of myopathies; a number of features can be studied and quantified, ranging from composition, architecture, mechanical properties, perfusion, and function, leading to what is known as quantitative MRI (qMRI). Such techniques can effectively provide a variety of information beyond what can be seen and assessed by conventional MR imaging; their development and application in clinical practice can play an important role in the diagnostic process and in assessing disease course and treatment response. In this review, we briefly discuss the current role of muscle MRI in diagnosing muscle diseases and describe in detail the potential and perspectives of the application of advanced qMRI techniques in this field.

Indexed as

advanced imagingMRImuscular imagingmyopathyneuromuscular diseases

Identifiers

PMID30804884
PMCPMC6378279
OpenAlexW2912007568

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.