Background: To investigate the accuracy and reproducibility of digital measurements of Little’s Irregularity Index and to evaluate if dierent degrees of dental crowding could influence these measurements. Methods: The study included 40 dental models and 5 sub-groups were created according to the severity of the crowding. In both the digital models and the study cast, Little’s Irregularity Index was recorded by measuring (1) the mesiodistal width of each tooth and (2) the arch lengths in both the maxillary and mandibular jaw. Two operators performed measurements on plaster and digital models using, respectively, a digital caliper and OrthoAnalyzerTM 3D software (3Shape A/S, Copenhagen, Denmark). Statistical analysis was performed to assess intra- and inter-operator variability, the accuracy between manual and digital measurements and if the amount of crowding could aect the accuracy of the digital measurements. Results: Concerning intra-examiner reliability, no statistically significant dierences were detected (p > 0.05). In the maxillary and mandibular arch, the Intraclass Correlation Coecient (ICC) value was 0.996 and 0.997 for the analogic measurements and 0.998 and 0.978 for the digital measurements. For the maxillary arch, the mean dierence between the analogic and digital Little’s Irregularity Index (LII) measurements was 0.43 mm while for the mandibular arch the mean dierence was 0.24 mm, showing some overestimation of the digital measurements (p < 0.05). No dierences were found according to crowding subgroups (p > 0.05). Conclusions: Digital measurements of LII could be considered as a valid substitute of the gold standard analogical measurement

Digital Models for the Analysis of Little’s Irregularity Index in Subjects with a Different Degree of Crowding: A Reproducibility Study

Palazzo, Giuseppe
Primo
Conceptualization
;
Fichera, Grazia;
2020-01-01

Abstract

Background: To investigate the accuracy and reproducibility of digital measurements of Little’s Irregularity Index and to evaluate if dierent degrees of dental crowding could influence these measurements. Methods: The study included 40 dental models and 5 sub-groups were created according to the severity of the crowding. In both the digital models and the study cast, Little’s Irregularity Index was recorded by measuring (1) the mesiodistal width of each tooth and (2) the arch lengths in both the maxillary and mandibular jaw. Two operators performed measurements on plaster and digital models using, respectively, a digital caliper and OrthoAnalyzerTM 3D software (3Shape A/S, Copenhagen, Denmark). Statistical analysis was performed to assess intra- and inter-operator variability, the accuracy between manual and digital measurements and if the amount of crowding could aect the accuracy of the digital measurements. Results: Concerning intra-examiner reliability, no statistically significant dierences were detected (p > 0.05). In the maxillary and mandibular arch, the Intraclass Correlation Coecient (ICC) value was 0.996 and 0.997 for the analogic measurements and 0.998 and 0.978 for the digital measurements. For the maxillary arch, the mean dierence between the analogic and digital Little’s Irregularity Index (LII) measurements was 0.43 mm while for the mandibular arch the mean dierence was 0.24 mm, showing some overestimation of the digital measurements (p < 0.05). No dierences were found according to crowding subgroups (p > 0.05). Conclusions: Digital measurements of LII could be considered as a valid substitute of the gold standard analogical measurement
2020
digital models; Little’s index; space analysis; arch length discrepancy; dental crowding; digital dentistry
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/483597
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