Unit:
Κατεύθυνση Ορθοδοντική (Κλινικές Ειδικεύσεις)Βιβλιοθήκη Οδοντιατρικής
Author:
Σχορετσανίτη Λύδια
Supervisors info:
Μαργαρίτα Μάκου, Ομότιμη Καθηγήτρια Εργαστηρίου Ορθοδοντικής, Ιωσήφ Σηφακάκης, Λέκτορας Εργαστηρίου Ορθοδοντικής, Αναστασία Μητσέα, Λέκτορας Κλινικής Διαγνωστικής και Ακτινολογίας Στόματος
Original Title:
A reproducibility study of cervical vertebral maturation (CVM) method. Can chronological age be assessed based on CVM method?
Translated title:
Αξιολόγηση της επαναληψιμότητας της μεθόδου ωρίμανσης αυχενικών σπονδύλων (CVM). Μπορεί η CVM να εκτιμήσει τη χρονολογική ηλικία;
Summary:
Aim: The aims of this study were to 1) assess the reproducibility of Cervical
Vertebral Maturation (CVM) method as described by Baccetti et al., 2) evaluate
the relationship between chronological age and skeletal maturation according to
this method and 3) investigate the potential for age estimation of Bacceti’s
CVM method.
Materials and Method: The sample of this cross-sectional study consisted of 474
patients’ lateral cephalograms, age ranging from 6.4 to 22.4 years, following
specific inclusion criteria. Six raters of various educational backgrounds were
trained to CVM method. All images were assessed twice under the same
conditions. Between the two assessments there was a four week interval. Intra-
and inter-rater agreement were assessed by Cohen’s weighted kappa and
intraclass correlation coefficient, respectively. A factorial (2X6) analysis of
variance was fitted to investigate the correlation between chronological age
and cervical maturation stages. The potential for age prediction was tested by
general linear model regression analysis.
Results: Intra-rater reliability was high and ranged from 0.857 to 0.931.
Intra-rater absolute agreement ranged from 77% to 87.3%. Inter-rater
reliability was nearly perfect (0.90), whereas inter-rater absolute agreement
was <50%.The lowest reproducibility was found for the 3rd Cervical Maturation
Stage (CS3). The differences in mean ages among the 6 CS stages were
statistically significant (with the exception of CS2 and CS3), and increased as
the CS increased. Females reached each stage earlier than males. Linear model
regression analysis showed that although gender and CS are correlated with age
statistically significantly, these two variables could explain roughly 60%
(adjusted R²=0.61) of the age variance of the sample.
Conclusions: CVM method presented with high intra- and inter-rater agreement.
However, CVM cannot by itself predict accurately the pubertal growth spurt, as
CS3 was the least reproducible of all stages. A direct and expected correlation
was found between chronological age and cervical stages. CVM method could be
more effectively applied in other fields (e.g. Forensics), providing
information about age.
Keywords:
Cervical vertebrae , Skeletal maturation, Age, Orthodontics, Forensics
