Michael Wolf1, Kathrin Becker2,3, Viktoria Trelenberg-Stoll4, Dieter Drescher5. 1. Department of Orthodontics, Universitätsklinikum RWTH Aachen, Aachen, Germany. 2. Department of Orthodontics, Universitätsklinikum Düsseldorf, Düsseldorf, Germany. kathrin.becker@med.uni-duesseldorf.de. 3. Department of Oral Surgery and Implantology, Goethe University, Frankfurt am Main, Germany. kathrin.becker@med.uni-duesseldorf.de. 4. Department of Oral Surgery, Universitätsklinikum Düsseldorf, Düsseldorf, Germany. 5. Department of Orthodontics, Universitätsklinikum Düsseldorf, Düsseldorf, Germany.
Abstract
BACKGROUND: Orthodontic root resorptions are frequently investigated in small animals, and micro-computed tomography (μCT) enables volumetric comparison. Despite, due to overlapping histograms from dentine and bone, accurate quantification of root resorption is challenging. The present study aims at (i) validating a novel automated approach for tooth segmentation (ATS), (ii) to indicate that matching of contralateral teeth is eligible to assess orthodontic tooth movement (OTM) and root resorption (RR), (iii) and to apply the novel approach in an animal trial performing orthodontic tooth movement. METHODS: The oral apparatus of three female mice were scanned with a μCT. The first molars of each jaw and animal were segmented using ATS (test) and manually (control), and contralateral volumes were compared. Agreement in root volumes and time efficiency were assessed for method validation. In another n = 14 animals, the left first upper molar was protracted for 11 days at 0.5 N, whereas the contralateral molar served as control. Following ATS, OTM and RR were estimated. RESULTS: ATS was significantly more time efficient compared to the manual approach (81% faster, P < 0.01), accurate (volume differences: - 0.01 ± 0.04 mm3), and contralateral roots had comparable volumes. Protracted molars had significantly lower root volumes (P = 0.03), whereas the amount of OTM failed to reveal linear association with RR (P > 0.05). CONCLUSIONS: Within the limits of the study, it was demonstrated that the combination of ATS and registration of contralateral jaws enables measurements of OTS and associated RR in μCT scans.
BACKGROUND: Orthodontic root resorptions are frequently investigated in small animals, and micro-computed tomography (μCT) enables volumetric comparison. Despite, due to overlapping histograms from dentine and bone, accurate quantification of root resorption is challenging. The present study aims at (i) validating a novel automated approach for tooth segmentation (ATS), (ii) to indicate that matching of contralateral teeth is eligible to assess orthodontic tooth movement (OTM) and root resorption (RR), (iii) and to apply the novel approach in an animal trial performing orthodontic tooth movement. METHODS: The oral apparatus of three female mice were scanned with a μCT. The first molars of each jaw and animal were segmented using ATS (test) and manually (control), and contralateral volumes were compared. Agreement in root volumes and time efficiency were assessed for method validation. In another n = 14 animals, the left first upper molar was protracted for 11 days at 0.5 N, whereas the contralateral molar served as control. Following ATS, OTM and RR were estimated. RESULTS: ATS was significantly more time efficient compared to the manual approach (81% faster, P < 0.01), accurate (volume differences: - 0.01 ± 0.04 mm3), and contralateral roots had comparable volumes. Protracted molars had significantly lower root volumes (P = 0.03), whereas the amount of OTM failed to reveal linear association with RR (P > 0.05). CONCLUSIONS: Within the limits of the study, it was demonstrated that the combination of ATS and registration of contralateral jaws enables measurements of OTS and associated RR in μCT scans.
Authors: Monika Sawicka; Rossella Bedini; Raffaella Pecci; Cornelis Hans Pameijer; Zbigniew Kmiec Journal: Ann Ist Super Sanita Date: 2012 Impact factor: 1.663
Authors: Maria Cadenas de Llano-Pérula; Chen Zong; Jeroen Van Dessel; Anne Marie Kuijpers-Jagtman; Guy Willems Journal: Clin Oral Investig Date: 2022-01-07 Impact factor: 3.573