Evidence map›Paper›PMID 28550406›Full record

ArticleInternational journal of computer assisted radiology and surgery2017

Statistical shape modelling to aid surgical planning: associations between surgical parameters and head shapes following spring-assisted cranioplasty.

Naiara Rodriguez-Florez, Jan L Bruse, Alessandro Borghi, Herman Vercruysse, Juling Ong, Greg James, Xavier Pennec, David J Dunaway, N U Owase Jeelani, Silvia Schievano

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Esthetic Perception of Morphological Severity in Scaphocephalic Patients is Correlated With Specific Head Geometrical Features.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2023
    Article
  9. Article
  10. Article
  11. Learning with Context Encoding for Single-Stage Cranial Bone Labeling and Landmark Localization.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022
    Article
  12. Article
  13. Article
  14. On-site CAD templates reduce surgery time for complex craniostenosis repair in infants: a new method.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2020
    Observational
  15. On the Evaluation and Validation of Off-the-shelf Statistical Shape Modeling Tools: A Clinical Application.Shape in medical imaging : International Workshop, ShapeMI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : proceedings. ShapeMI (Workshop) (2018 : Granada, Spain) · 2018
    Article
  16. 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

10 authors at 3 institutions in 3 countries.

Naiara Rodriguez-FlorezUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK. n.florez@ucl.ac.uk.ORCID http://orcid.org/0000-0002-5911-8113
Jan L BruseCraniofacial Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Alessandro BorghiUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Herman VercruysseCraniofacial Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Juling OngCraniofacial Unit, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Greg JamesUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Xavier PennecAsclepios Team, Inria, Sophia Antipolis, France.
David J DunawayUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
N U Owase JeelaniUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Silvia SchievanoUCL Great Ormond Street Institute of Child Health, 30 Guilford Street, London, WC1N 1EH, UK.
Great Ormond Street Hospital · GBGreat Ormond Street Hospital for Children NHS Foundation Trust · GBInstitut national de recherche en sciences et technologies du numérique · FR

Funding

Engineering and Physical Sciences Research Council EP/N02124X/1Fondation Leducq 09CVD04Great Ormond Street Hospital Charity 508857
6 · The paper itself

Abstract

purposeSpring-assisted cranioplasty is performed to correct the long and narrow head shape of children with sagittal synostosis. Such corrective surgery involves osteotomies and the placement of spring-like distractors, which gradually expand to widen the skull until removal about 4 months later. Due to its dynamic nature, associations between surgical parameters and post-operative 3D head shape features are difficult to comprehend. The current study aimed at applying population-based statistical shape modelling to gain insight into how the choice of surgical parameters such as craniotomy size and spring positioning affects post-surgical head shape.

methodsTwenty consecutive patients with sagittal synostosis who underwent spring-assisted cranioplasty at Great Ormond Street Hospital for Children (London, UK) were prospectively recruited. Using a nonparametric statistical modelling technique based on mathematical currents, a 3D head shape template was computed from surface head scans of sagittal patients after spring removal. Partial least squares (PLS) regression was employed to quantify and visualise trends of localised head shape changes associated with the surgical parameters recorded during spring insertion: anterior-posterior and lateral craniotomy dimensions, anterior spring position and distance between anterior and posterior springs.

resultsBivariate correlations between surgical parameters and corresponding PLS shape vectors demonstrated that anterior-posterior (Pearson's [Formula: see text]) and lateral craniotomy dimensions (Spearman's [Formula: see text]), as well as the position of the anterior spring ([Formula: see text]) and the distance between both springs ([Formula: see text]) on average had significant effects on head shapes at the time of spring removal. Such effects were visualised on 3D models.

conclusionsPopulation-based analysis of 3D post-operative medical images via computational statistical modelling tools allowed for detection of novel associations between surgical parameters and head shape features achieved following spring-assisted cranioplasty. The techniques described here could be extended to other cranio-maxillofacial procedures in order to assess post-operative outcomes and ultimately facilitate surgical decision making.

Indexed as

CraniosynostosesCraniotomyFemaleHumansImaging, Three-DimensionalInfantMalePlastic Surgery ProceduresSkullTomography, X-Ray Computed3D scanningClinical decision SupportCraniofacial surgeryCraniosynostosisPartial least squares regressionStatistical shape modelling

Identifiers

PMID28550406
PMCPMC5608871
OpenAlexW2617692332

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.