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Reliability of a Novel CBCT-Based 3D Classification System for Maxillary Canine Impactions in Orthodontics: The KPG Index

DALESSANDRI, DOMENICO
•
CONTARDO, LUCA
•
DI LENARDA, Roberto
2013
  • journal article

Periodico
THE SCIENTIFIC WORLD JOURNAL
Abstract
The aim of this study was to evaluate both intra- and interoperator reliability of a radiological three-dimensional classification system (KPG index) for the assessment of degree of difficulty for orthodontic treatment of maxillary canine impactions. Cone beamcomputed tomography (CBCT) scans of fifty impacted canines, obtained using three different scanners (NewTom,Kodak, and Planmeca), were classified using the KPG index by three independent orthodontists.Measurements were repeated one month later. Based on these two sessions, several recommendations onKPGIndex scoringwere elaborated.After a joint calibration session, these recommendations were explained to nine orthodontists and the two measurement sessions were repeated.There was a moderate intrarater agreement in the precalibration measurement sessions. After the calibration session, both intra- and interrater agreement were almost perfect. Indexes assessed with Kodak Dental Imaging 3D module software showed a better reliability in z-axis values, whereas indexes assessed with Planmeca Romexis software showed a better reliability in x- and y-axis values. No differences were found between the CBCT scanners used. Taken together, these findings indicate that the application of the instructions elaborated during this study improved KPG index reliability, which was nevertheless variously influenced by the use of different software for images evaluation.
DOI
10.1155/2013/921234
WOS
WOS:000325920100001
SCOPUS
2-s2.0-84886580053
Archivio
http://hdl.handle.net/11368/2718080
http://dx.doi.org/10.1155/2013/921234
Diritti
metadata only access
Soggetti
  • Impacted

  • Cuspid,

  • cone beam computed to...

  • Reliability

  • Accuracy

  • orthodontics

Scopus© citazioni
23
Data di acquisizione
Jun 7, 2022
Vedi dettagli
Web of Science© citazioni
22
Data di acquisizione
Mar 17, 2024
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