Evidence map›Paper›PMID 34632293›Full record

ArticleActa myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology2021

Reproducibility of manual segmentation in muscle imaging.

Shaun Ivan Muzic, Matteo Paoletti, Francesca Solazzo, Eugenio Belatti, Raimondo Vitale, Niels Bergsland, Stefano Bastianello, Anna Pichiecchio

Open access · greenAbstract read
In one paragraph

Article in Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Observer Variability in CT Angiography Carotid Segmentation: Assessing Variability to Set Minimum Clinical Performance.Journal of neuroimaging : official journal of the American Society of Neuroimaging
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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

8 authors at 2 institutions in 2 countries.

Shaun Ivan MuzicUniversity of Pavia, Pavia, Italy.
Matteo PaolettiDepartment of Neuroradiology, IRCCS Mondino Foundation, Pavia, Italy.
Francesca SolazzoUniversity of Pavia, Pavia, Italy.
Eugenio BelattiUniversity of Pavia, Pavia, Italy.
Raimondo VitaleUniversity of Pavia, Pavia, Italy.
Niels BergslandBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
Stefano BastianelloUniversity of Pavia, Pavia, Italy.
Anna PichiecchioUniversity of Pavia, Pavia, Italy.
University of Pavia · ITUniversity at Buffalo, State University of New York · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the reproducibility of a manual muscle MRI segmentation method that follows a specific set of recommendations developed in our center. MATERIALS AND

methodsNine healthy volunteers underwent a muscle MRI examination that included a TSE T2 sequence of the thighs. Muscle segmentation was performed by three operators: an expert operator (OP1) with 3 years of experience and two radiology residents (OP2 and 3) who were both given basic segmentation instructions, whereas only OP2 underwent additional supervised training from OP1. Intra- and inter-operator Dice similarity coefficient (DSC) was calculated.

resultsOP1 showed the highest average intra-operator DSC values (0.885), whereas OP2 had higher average DSC (0.856) compared to OP3 (0.818). The highest inter-operator agreement was observed between Operators 1 and 2 (0.814) and the lowest between OP2 and OP3 (0.702). Confidence interval (CI) analysis showed that the most experienced operator also had the least variability in drawing the ROIs, whereas OP2 showed both higher intra-operator reproducibility compared to OP3 and higher inter-operator agreement with OP1. The muscles that showed the least reproducibility were the DISCUSSION: Following specific recommendations such as these ones derived from our single-center experience leads to an overall high reproducibility of manual muscle segmentation and is helpful in improving both intra-operator and inter-operator reproducibility in less experienced operators.

Indexed as

Magnetic Resonance ImagingMusclesHumansReproducibility of Resultsmuscle MRIneuromuscular diseasesqMRIreproducibilitysegmentation

Identifiers

PMID34632293
PMCPMC8489167
OpenAlexW3204381519

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.