Evidence map›Paper›PMID 32181268›Full record

ArticleBone reports2020

Separating positional noise from neutral alignment in multicomponent statistical shape models.

E A Audenaert, J Van den Eynde, D F de Almeida, G Steenackers, D Vandermeulen, P Claes

Abstract read
In one paragraph

Article in Bone reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Morphology of the scaphotrapeziotrapezoid joint: A multi-domain statistical shape modeling approach.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2024
    Article
  3. Article
  4. Article
  5. Prediction of femoral head coverage from articulated statistical shape models of patients with developmental dysplasia of the hip.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022
    Article
  6. Wear patterns in knee OA correlate with native limb geometry.Frontiers in bioengineering and biotechnology · 2022
    Article
  7. Article
  8. Article
  9. Combined Estimation of Shape and Pose for Statistical Analysis of Articulating Joints.Shape in Medical Imaging : International Workshop, ShapeMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings · 2020
    Article
  10. Mechanics of Psoas Tendon Snapping. A Virtual Population Study.Frontiers in bioengineering and biotechnology · 2020
    Article
  11. 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

6 authors.

E A AudenaertDepartment of Orthopedic Surgery and Traumatology, Ghent University Hospital, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
J Van den EyndeDepartment of Human Structure and Repair, Ghent University, Corneel Heymanslaan 10, 9000 Ghent, Belgium.
D F de AlmeidaCentre for Rapid and Sustainable Product Development, Polytechnic Institute of Leiria, Portugal.
G SteenackersDepartment of Electromechanics, Op3Mech research group, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerp, Belgium.
D VandermeulenDepartment of Electrical Engineering, ESAT/PSI, KU Leuven, Kasteelpark Arenberg 10, box 2441, 3001 Leuven, Belgium.
P ClaesDepartment of Electrical Engineering, ESAT/PSI, KU Leuven, Kasteelpark Arenberg 10, box 2441, 3001 Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given sufficient training samples, statistical shape models can provide detailed population representations for use in anthropological and computational genetic studies, injury biomechanics, musculoskeletal disease models or implant design optimization. While the technique has become extremely popular for the description of isolated anatomical structures, it suffers from positional interference when applied to coupled or articulated input data. In the present manuscript we describe and validate a novel approach to extract positional noise from such coupled data. The technique was first validated and then implemented in a multicomponent model of the lower limb. The impact of noise on the model itself as well as on the description of sexual dimorphism was evaluated. The novelty of our methodology lies in the fact that no rigid transformations are calculated or imposed on the data by means of idealized joint definitions and by extension the models obtained from them.

Indexed as

AnatomyGeometric morphometricsImage analysisMultivariate regressionSex dimorphism

Identifiers

PMID32181268
PMCPMC7063239

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Registered trials

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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.