Gwen R.J. Swennen

Prof. Dr. Gwen R.J. Swennen


Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2006 in American Journal of Orthodontics and Dentofacial Orthopedics
Verified
Journal Article
Closed access
GSGwen R.J. Swennen
Gwen R.J. Swennen
FSFilip Schutyser
Filip Schutyser

1 March 2006 in Journal of Craniofacial Surgery
Verified
Journal Article
Closed access
GSGwen R.J. Swennen
Gwen R.J. Swennen
FSFilip Schutyser
Filip Schutyser
EBEnno-Ludwig Barth
Enno-Ludwig Barth
PGPieter De Groeve
Pieter De Groeve
AMAlbert De Mey
Albert De Mey
The purpose of this study was to present a new innovative three-dimensional (3-D) cephalometric method. Part I deals with the set-up and validation of a voxel-based semi-automatic 3-D cephalometric reference system. The CT data (DICOM 3.0 files) of 20 control patients with normal skeletal relationships were used for this study. To investigate accuracy and reliability of the 3-D cephalometric reference system (Maxilim™, version 1.3.0) a total of 42 (14 horizontal, 14 vertical and 14 transversal) orthogonal measurements were performed on each patient twice by each of two investigators. The intra-observer measurement error was less then 0.88 mm, 0.76 mm and 0.84 mm for horizontal, vertical and transversal orthogonal measurements, respectively. The inter-observer measurement error was less as 0.78 mm, 0.86 mm and 1.26 mm for horizontal, vertical and transversal orthogonal measurements, respectively. Squared correlation coefficients showed a high intra-observer and inter-observer reliability. The presented 3-D cephalometric reference system proved to be accurate and reliable and can therefore be used for 3-D cephalometric hard and soft tissue analysis.

1 March 2022 in Dentomaxillofacial Radiology
Verified
Journal Article
Closed access
FAFernando de Oliveira Andriola
Fernando de Oliveira Andriola
OJOrion Luiz Haas Junior
Orion Luiz Haas Junior
RGRaquel Guijarro-Martínez
Raquel Guijarro-Martínez
FHFederico Hernández-Alfaro
Federico Hernández-Alfaro
RORogerio Belle de Oliveira
Rogerio Belle de Oliveira
GSGwen R.J. Swennen
Gwen R.J. Swennen
Objectives: A systematic review was performed to analyze the current evidence on three-dimensional (3D) computed tomography (CT) superimposition protocols used to assess dentomaxillofacial changes after orthognathic and orthofacial surgery. Accuracy, reproducibility, and efficiency were evaluated. Methods: The search was divided into Main Search (PubMed, EMBASE, Cochrane Library, LILACS, and SciELO), Grey Literature search (Google Scholar and Open Grey), and Manual search. Thirteen studies were included. Of these, 10 reported data on accuracy, 10 on reproducibility and five on efficiency. Seven proposed or evaluated methods of voxel-based superimposition, three focused on the surface-based technique, one compared surface- and voxel-based superimposition protocols, one used the maximum mutual information algorithm, and one described a landmark-based superimposition method. Cone-beam computed tomography (CBCT) was the most common imaging technique, being used in 10 studies. Results: The accuracy of most methods was high, showing mean differences smaller than voxels’ dimensions, ranging between 0.05 and 1.76 mm for translational accuracy, and 0.10–1.09° for rotational accuracy. The overall reproducibility was considered good as demonstrated by the small mean error (range: 0.01–0.26 mm) and high correlation coefficients (range: 0.53–1.00). Timing to complete virtual superimposition techniques ranged between a few seconds up to 40 min. Conclusions: Voxel-based superimposition protocols presented the highest accuracy and reproducibility. Moreover, superimposition protocols that used automated processes and involved only one software were the most efficient.

14 May 2024 in Journal of Imaging
Verified
Journal Article
Open access
PDF file
AOAnna Olejnik
Anna Olejnik
LVLaurence Verstraete
Laurence Verstraete
TCTomas-Marijn Croonenborghs
Tomas-Marijn Croonenborghs
CPConstantinus Politis
Constantinus Politis
GSGwen R.J. Swennen
Gwen R.J. Swennen
Three-dimensional soft tissue simulation has become a popular tool in the process of virtual orthognathic surgery planning and patient–surgeon communication. To apply 3D soft tissue simulation software in routine clinical practice, both qualitative and quantitative validation of its accuracy are required. The objective of this study was to systematically review the literature on the accuracy of 3D soft tissue simulation in orthognathic surgery. The Web of Science, PubMed, Cochrane, and Embase databases were consulted for the literature search. The systematic review (SR) was conducted according to the PRISMA statement, and 40 articles fulfilled the inclusion and exclusion criteria. The Quadas-2 tool was used for the risk of bias assessment for selected studies. A mean error varying from 0.27 mm to 2.9 mm for 3D soft tissue simulations for the whole face was reported. In the studies evaluating 3D soft tissue simulation accuracy after a Le Fort I osteotomy only, the upper lip and paranasal regions were reported to have the largest error, while after an isolated bilateral sagittal split osteotomy, the largest error was reported for the lower lip and chin regions. In the studies evaluating simulation after bimaxillary osteotomy with or without genioplasty, the highest inaccuracy was reported at the level of the lips, predominantly the lower lip, chin, and, sometimes, the paranasal regions. Due to the variability in the study designs and analysis methods, a direct comparison was not possible. Therefore, based on the results of this SR, guidelines to systematize the workflow for evaluating the accuracy of 3D soft tissue simulations in orthognathic surgery in future studies are proposed.


22 January 2025 in International Journal of Oral and Maxillofacial Surgery
Verified
Journal Article
Closed access
GSGwen R.J. Swennen
Gwen R.J. Swennen
AAA. Aksu
A. Aksu
FRF. Reinauer
F. Reinauer
LPL. Pottel
L. Pottel
YWYves Weinberg
Yves Weinberg