2018
DOI: 10.1002/cre2.125
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Development and validation of the autotransplanted maxillary canine radiological index

Abstract: The purpose of this study was to propose and validate an index evaluating 2D and 3D radiographic variables of autotransplanted maxillary canines. Setting and sample population are from the Department of Oral and Maxillofacial Surgery at University Hospitals Leuven. Eight oral‐maxillofacial surgeons rated 12 autotransplanted maxillary canines and adjacent bone using 11 rating variables. A new autotransplanted maxillary canine radiological index (AMCRI) was proposed. It consisted of 11 variables. These variables… Show more

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Cited by 3 publications
(11 citation statements)
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References 27 publications
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“…Radiographical outcome of the transplanted canine was assessed with the autotransplanted maxillary canine radiographical index (AMCRI) (Grisar, Vanpoecke, et al, ). Twelve of the transplanted maxillary canines were scored to have an excellent, 3 with a good, 7 with an acceptable and 4 to have a poor radiological outcome (Figure ,,).…”
Section: Resultsmentioning
confidence: 99%
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“…Radiographical outcome of the transplanted canine was assessed with the autotransplanted maxillary canine radiographical index (AMCRI) (Grisar, Vanpoecke, et al, ). Twelve of the transplanted maxillary canines were scored to have an excellent, 3 with a good, 7 with an acceptable and 4 to have a poor radiological outcome (Figure ,,).…”
Section: Resultsmentioning
confidence: 99%
“…Radiologic examination allowed evaluation of root resorption, periodontal ligament and lamina dura formation, ankylosis, alveolar bone loss, and apical inflammation. Radiographical outcome of the transplanted canine was assessed with the autotransplanted maxillary canine radiographical index (AMCRI) as described by Grisar et al (Grisar, Vanpoecke, et al, ).…”
Section: Methodsmentioning
confidence: 99%
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“…Since the speed of processing of mathematical calculations of new generation processing units has been greatly improved, analytical and CAD softwares for dental applications are nowadays able to detect in real-time any area of reduced bone density or to make the 3D plan for an ideal bone defect reconstruction. 17,18 We should bear in mind that these CAD planning processes have not yet been automated; these are still largely based on the human factor of reasoning, analysis and guidance. 19 The development of the system towards automation is directly connected with the development of artificial intelligence able to control and manage these services, and it has not been sufficiently developed to respond to a challenge like this.…”
Section: Cone Beam Computerized Tomography (Cbct)mentioning
confidence: 99%