Evidence map›Paper›PMID 33881569›Full record

ReviewEuropean radiology2021

MR imaging of inherited myopathies: a review and proposal of imaging algorithms.

Laís Uyeda Aivazoglou, Julio Brandão Guimarães, Thomas M Link, Maria Alice Freitas Costa, Fabiano Nassar Cardoso, Bruno de Mattos Lombardi Badia, Igor Braga Farias, Wladimir Bocca Vieira de Rezende Pinto, Paulo Victor Sgobbi de Souza, Acary Souza Bulle Oliveira and 3 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

13 authors.

Laís Uyeda AivazoglouDepartment of Radiology and Diagnostic Imaging, Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800, São Paulo, SP, 04024-002, Brazil.
Julio Brandão GuimarãesDepartment of Radiology and Diagnostic Imaging, Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800, São Paulo, SP, 04024-002, Brazil. julio.brandaoguimaraes@ucsf.edu.ORCID http://orcid.org/0000-0002-5075-5896
Thomas M LinkMusculoskeletal and Quantitative Imaging Research Group (MQIR), Department of Radiology and Biomedical Imaging, University of California, San Francisco, 505 Parnassus Ave, San Francisco, CA, 94143, USA.
Maria Alice Freitas CostaDepartment of Radiology and Diagnostic Imaging, Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800, São Paulo, SP, 04024-002, Brazil.
Fabiano Nassar CardosoDepartment of Radiology and Diagnostic Imaging, Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800, São Paulo, SP, 04024-002, Brazil.
Bruno de Mattos Lombardi BadiaDivision of Neuromuscular Diseases, Department of Neurology and Neurosurgery, Universidade Federal de São Paulo (UNIFESP), Rua Embaú, 67, São Paulo, SP, 04039-060, Brazil.
Igor Braga FariasDivision of Neuromuscular Diseases, Department of Neurology and Neurosurgery, Universidade Federal de São Paulo (UNIFESP), Rua Embaú, 67, São Paulo, SP, 04039-060, Brazil.
Wladimir Bocca Vieira de Rezende PintoDivision of Neuromuscular Diseases, Department of Neurology and Neurosurgery, Universidade Federal de São Paulo (UNIFESP), Rua Embaú, 67, São Paulo, SP, 04039-060, Brazil.
Paulo Victor Sgobbi de SouzaDivision of Neuromuscular Diseases, Department of Neurology and Neurosurgery, Universidade Federal de São Paulo (UNIFESP), Rua Embaú, 67, São Paulo, SP, 04039-060, Brazil.
Acary Souza Bulle OliveiraDivision of Neuromuscular Diseases, Department of Neurology and Neurosurgery, Universidade Federal de São Paulo (UNIFESP), Rua Embaú, 67, São Paulo, SP, 04039-060, Brazil.
Alzira Alves de Siqueira CarvalhoLaboratório de Doenças Neuromusculares da Faculdade de Medicina do ABC - Departamento de Neurociências, Av. Lauro Gomes, 2000, Santo André, SP, 09060-870, Brazil.
André Yui AiharaDepartment of Radiology and Diagnostic Imaging, Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800, São Paulo, SP, 04024-002, Brazil.
Artur da Rocha Corrêa FernandesDepartment of Radiology and Diagnostic Imaging, Universidade Federal de São Paulo (UNIFESP), Rua Napoleão de Barros, 800, São Paulo, SP, 04024-002, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe aims of this review are to discuss the imaging modalities used to assess muscle changes in myopathies, to provide an overview of the inherited myopathies focusing on their patterns of muscle involvement in magnetic resonance imaging (MR), and to propose up-to-date imaging-based diagnostic algorithms that can help in the diagnostic workup.

conclusionFamiliarization with the most common and specific patterns of muscular involvement in inherited myopathies is very important for radiologists and neurologists, as imaging plays a significant role in diagnosis and follow-up of these patients. KEY POINTS: • Imaging is an increasingly important tool for diagnosis and follow-up in the setting of inherited myopathies. • Knowledge of the most common imaging patterns of muscle involvement in inherited myopathies is valuable for both radiologists and neurologists. • In this review, we present imaging-based algorithms that can help in the diagnostic workup of myopathies.

Indexed as

Muscular DiseasesAlgorithmsHumansMagnetic Resonance ImagingMusclesRadiologistsMagnetic resonance imagingMuscular diseasesMuscular dystrophiesMyopathiesWhole-body imaging

Identifiers

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.