Evidence map›Paper›PMID 36219348›Full record

ArticleJournal of digital imaging2023

Intra-operator Repeatability of Manual Segmentations of the Hip Muscles on Clinical Magnetic Resonance Images.

Giorgio Davico, Francesca Bottin, Alberto Di Martino, Vanita Castafaro, Fabio Baruffaldi, Cesare Faldini, Marco Viceconti

Open access · hybridAbstract read
In one paragraph

Article in Journal of digital imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Towards a comprehensive biomechanical assessment of the elderly combiningFrontiers in bioengineering and biotechnology · 2024
    Article
  5. [Study on the evaluation of glenoid bone defects by MRI three-dimensional reconstruction].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023
    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

7 authors at 1 institution in 1 country.

Giorgio DavicoDepartment of Industrial Engineering (DIN), Alma Mater Studiorum - University of Bologna, Bologna, Italy. giorgio.davico@unibo.it.ORCID 0000-0002-2046-529X
Francesca BottinDepartment of Industrial Engineering (DIN), Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0000-0002-6936-019X
Alberto Di MartinoClinica Ortopedica e Traumatologica I, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.ORCID 0000-0002-0716-4951
Vanita CastafaroClinica Ortopedica e Traumatologica I, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.
Fabio BaruffaldiLaboratorio di Tecnologia Medica, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.ORCID 0000-0001-8784-5652
Cesare FaldiniClinica Ortopedica e Traumatologica I, IRCCS Istituto Ortopedico Rizzoli, Bologna, Italy.ORCID 0000-0001-8152-4778
Marco VicecontiDepartment of Industrial Engineering (DIN), Alma Mater Studiorum - University of Bologna, Bologna, Italy.ORCID 0000-0002-2293-1530
Istituto Ortopedico Rizzoli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The manual segmentation of muscles on magnetic resonance images is the gold standard procedure to reconstruct muscle volumes from medical imaging data and extract critical information for clinical and research purposes. (Semi)automatic methods have been proposed to expedite the otherwise lengthy process. These, however, rely on manual segmentations. Nonetheless, the repeatability of manual muscle volume segmentations performed on clinical MRI data has not been thoroughly assessed. When conducted, volumetric assessments often disregard the hip muscles. Therefore, one trained operator performed repeated manual segmentations (n = 3) of the iliopsoas (n = 34) and gluteus medius (n = 40) muscles on coronal T1-weighted MRI scans, acquired on 1.5 T scanners on a clinical population of patients elected for hip replacement surgery. Reconstructed muscle volumes were divided in sub-volumes and compared in terms of volume variance (normalized variance of volumes - nVV), shape (Jaccard Index-JI) and surface similarity (maximal Hausdorff distance-HD), to quantify intra-operator repeatability. One-way repeated measures ANOVA (or equivalent) tests with Bonferroni corrections for multiple comparisons were conducted to assess statistical significance. For both muscles, repeated manual segmentations were highly similar to one another (nVV: 2-6%, JI > 0.78, HD < 15 mm). However, shape and surface similarity were significantly lower when muscle extremities were included in the segmentations (e.g., iliopsoas: HD -12.06 to 14.42 mm, P < 0.05). Our findings show that the manual segmentation of hip muscle volumes on clinical MRI scans provides repeatable results over time. Nonetheless, extreme care should be taken in the segmentation of muscle extremities.

Indexed as

Magnetic Resonance ImagingMusclesHumansImage Processing, Computer-AssistedManual segmentationMRIMusclesPathological populationRepeatability

Identifiers

PMID36219348
PMCPMC9984589
OpenAlexW4304196216

What OpenQuestion holds

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LicenceCC BY
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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.