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dc.contributor.authorGkantidis, Nikolaos
dc.contributor.authorSchauseil, Michael
dc.contributor.authorPazera, Pawel
dc.contributor.authorZorkun, Berna
dc.contributor.authorKatsaros, Christos
dc.contributor.authorLudwig, Bjoern
dc.date.accessioned2019-07-27T12:10:23Z
dc.date.accessioned2019-07-28T09:56:19Z
dc.date.available2019-07-27T12:10:23Z
dc.date.available2019-07-28T09:56:19Z
dc.date.issued2015
dc.identifier.issn1932-6203
dc.identifier.urihttps://dx.doi.org/10.1371/journal.pone.0118810
dc.identifier.urihttps://hdl.handle.net/20.500.12418/7948
dc.descriptionWOS: 000350662100206en_US
dc.descriptionPubMed ID: 25706151en_US
dc.description.abstractObjectives To test the applicability, accuracy, precision, and reproducibility of various 3D superimposition techniques for radiographic data, transformed to triangulated surface data. Methods Five superimposition techniques (3P: three-point registration; AC: anterior cranial base; AC + F: anterior cranial base + foramen magnum; BZ: both zygomatic arches; 1Z: one zygomatic arch) were tested using eight pairs of pre-existing CT data (pre-and post-treatment). These were obtained from non-growing orthodontic patients treated with rapid maxillary expansion. All datasets were superimposed by three operators independently, who repeated the whole procedure one month later. Accuracy was assessed by the distance (D) between superimposed datasets on three form-stable anatomical areas, located on the anterior cranial base and the foramen magnum. Precision and reproducibility were assessed using the distances between models at four specific landmarks. Non parametric multivariate models and Bland-Altman difference plots were used for analyses. Results There was no difference among operators or between time points on the accuracy of each superimposition technique (p>0.05). The AC + F technique was the most accurate (D<0.17 mm), as expected, followed by AC and BZ superimpositions that presented similar level of accuracy (D<0.5 mm). 3P and 1Z were the least accurate superimpositions (0.79<D<1.76 mm, p<0.005). Although there was no difference among operators or between time points on the precision of each superimposition technique (p>0.05), the detected structural changes differed significantly between different techniques (p<0.05). Bland-Altman difference plots showed that BZ superimposition was comparable to AC, though it presented slightly higher random error. Conclusions Superimposition of 3D datasets using surface models created from voxel data can provide accurate, precise, and reproducible results, offering also high efficiency and increased post-processing capabilities. In the present study population, the BZ superimposition was comparable to AC, with the added advantage of being applicable to scans with a smaller field of view.en_US
dc.language.isoengen_US
dc.publisherPUBLIC LIBRARY SCIENCEen_US
dc.relation.isversionof10.1371/journal.pone.0118810en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleEvaluation of 3-Dimensional Superimposition Techniques on Various Skeletal Structures of the Head Using Surface Modelsen_US
dc.typearticleen_US
dc.relation.journalPLOS ONEen_US
dc.contributor.department[Gkantidis, Nikolaos -- Pazera, Pawel -- Katsaros, Christos] Univ Bern, Dept Orthodont & Dentofacial Orthoped, Bern, Switzerland -- [Schauseil, Michael] Univ Marburg, Dept Orthodont, Marburg, Germany -- [Zorkun, Berna] Cumhuriyet Univ, Dept Orthodont, Sivas, Turkey -- [Ludwig, Bjoern] Private Orthodont Off, Traben Trarbach, Germany -- [Ludwig, Bjoern] Univ Saarland, Dept Orthodont, Homburg, Germanyen_US
dc.contributor.authorIDGkantidis, Nikolaos -- 0000-0002-3180-6272; Katsaros, Christos -- 0000-0001-5545-6740en_US
dc.identifier.volume10en_US
dc.identifier.issue2en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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