Evidence map›Paper›PMID 35928945›Full record

ArticleFrontiers in bioengineering and biotechnology2022

Biomechanical Morphing for Personalized Fitting of Scoliotic Torso Skeleton Models.

Christos Koutras, Hamed Shayestehpour, Jesús Pérez, Christian Wong, John Rasmussen, Maxime Tournier, Matthieu Nesme, Miguel A Otaduy

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. The application of a functional-anatomical model in pulmonary risk assessment for adolescent idiopathic scoliosis.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
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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 5 institutions in 4 countries.

Christos KoutrasDepartment of Computer Science, Universidad Rey Juan Carlos, Madrid, Spain.
Hamed ShayestehpourDepartment of Materials and Production, Aalborg University, Aalborg, Denmark.
Jesús PérezDepartment of Computer Science, Universidad Rey Juan Carlos, Madrid, Spain.
Christian WongOrthopedics Department, University Hospital of Hvidovre, Hvidovre, Denmark.
John RasmussenDepartment of Materials and Production, Aalborg University, Aalborg, Denmark.
Maxime TournierAnatoScope SA, Montbonnot-Saint-Martin, France.
Matthieu NesmeAnatoScope SA, Montbonnot-Saint-Martin, France.
Miguel A OtaduyDepartment of Computer Science, Universidad Rey Juan Carlos, Madrid, Spain.
Universidad Rey Juan Carlos · ESAalborg University · DKCentre Inria de l'Université Grenoble Alpes · FRHvidovre Hospital · DKProbaYes (France) · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of patient-specific biomechanical models offers many opportunities in the treatment of adolescent idiopathic scoliosis, such as the design of personalized braces. The first step in the development of these patient-specific models is to fit the geometry of the torso skeleton to the patient's anatomy. However, existing methods rely on high-quality imaging data. The exposure to radiation of these methods limits their applicability for regular monitoring of patients. We present a method to fit personalized models of the torso skeleton that takes as input biplanar low-dose radiographs. The method morphs a template to fit annotated points on visible portions of the spine, and it relies on a default biomechanical model of the torso for regularization and robust fitting of hardly visible parts of the torso skeleton, such as the rib cage. The proposed method provides an accurate and robust solution to obtain personalized models of the torso skeleton, which can be adopted as part of regular management of scoliosis patients. We have evaluated the method on ten young patients who participated in our study. We have analyzed and compared clinical metrics on the spine and the full torso skeleton, and we have found that the accuracy of the method is at least comparable to other methods that require more demanding imaging methods, while it offers superior robustness to artifacts such as interpenetration of ribs. Normal-dose X-rays were available for one of the patients, and for the other nine we acquired low-dose X-rays, allowing us to validate that the accuracy of the method persisted under less invasive imaging modalities.

Indexed as

biomechanical modelsgeometry fittinglow-dose x-raysmodeling of the torsoscoliosis

Identifiers

PMID35928945
PMCPMC9343806
OpenAlexW4286216698

What OpenQuestion holds

Textmetadata
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.