
18
J Gandhara Med Dent Sci
July - September 2026
skeletal maturity when evaluating candidates for
maxillary expansion. Since the success of conventional
rapid maxillary expansion (RME) depends on the
degree of MPS fusion, assessing second molar
mineralization on routine CBCT (limited FOV) or
panoramic radiographs may provide a low-radiation,
accessible screening tool. Patients in earlier
mineralization stages are more likely to show less
advanced suture maturation; however, treatment
decisions should not be based solely on dental
mineralization.
LIMITATIONS
Nonetheless, the study's cross-sectional design limits
causal inference, and its relatively small sample size
limits generalizability. Another limitation of this study
was the uneven distribution of MPS maturation stages,
with the majority of participants in stages B and E and
no subjects in stage A. This may have aected the
strength of observed correlations and could limit
generalizability across the complete spectrum of MPS
maturation. Variations in molar mineralization timing
across populations and individual genetic factors should
also be considered. Future multicenter studies with
larger, age-stratified samples are recommended to
rene predictive thresholds and to explore the
quantitative aspects of suture density and bone
thickness in three dimensions.
CONCLUSIONS
A moderate positive correlation was observed between
MPS maturation and maxillary second molar
mineralization, suggesting that molar mineralization
stages may provide some useful information regarding
MPS maturation status. However, after controlling for
age, the correlation weakened and lost statistical
significance, suggesting that age may substantially
inuence both MPS maturation and dental
mineralization. Therefore, although second molar
mineralization may serve as an adjunctive indicator of
MPS maturation, it should not be used as a sole
predictor for clinical decision-making.
CONFLICT OF INTEREST: None
FUNDING SOURCES: None
REFERENCES
1. Macena MC, Katz CRT, Rosenblatt A. Prevalence of posterior
crossbite and sucking habits in Brazilian children aged 18–59
months. Eur J Orthod. 2009;31(4):357–61.
https://doi.org/10.1093/ejo/cjn108 PMID: 19174489.
2. Jimenez-Valdivia LM, Malpartida-Carrillo V, Rodríguez-
Cárdenas YA, Dias-Da-Silveira HL, Arriola-Guillén LE.
Midpalatal suture maturation stage assessment in adolescents
and young adults using cone-beam computed tomography. Prog
Orthod. 2019;20(1):38. https://doi.org/10.1186/s40510-019-
0291-8 PMID: 31606855.
3. Luz CN, Pasqua BPM, Paiva JB, Rino-Neto J. Cervical
vertebrae maturation assessment as a predictive method for
midpalatal suture maturation stages in 11- to 14-year-olds: a
retrospective study. Clin Interv Orthod. 2022;81(1):43–49.
4. Silva-Montero JC, Faus-Matoses I, Ribas-Pérez D, Pourhamid
H, Solano-Mendoza B. Analysis of the frequency and correlated
factors of midpalatal suture maturation stages in young adults
based on cone-beam computed tomography imaging. J Clin
Med. 2022;11(23):6959. https://doi.org/10.3390/jcm11236959
PMID: 36498336.
5. Angelieri F, Cevidanes LHS, Franchi L, Gonçalves JR,
Benavides E, McNamara JA Jr. Midpalatal suture maturation:
classification method for individual assessment before rapid
maxillary expansion. Am J Orthod Dentofacial Orthop.
2013;144(5):759–69.
https://doi.org/10.1016/j.ajodo.2013.07.007 PMID: 24182592.
6. Mahdian A, Sa Y, Dalaie K, Kavousinejad S, Behnaz M.
Correlation assessment of cervical vertebrae maturation stage
and midpalatal suture maturation in an Iranian population. J
World Fed Orthod. 2020;9(3):112–16.
https://doi.org/10.1016/j.ejwf.2020.05.001 PMID: 32859491.
7. Oliveira RS, Oliveira CJM, Panzarella FK, Cintra Junqueira JL.
Maturation stages of the median palatine suture evaluated with
cone-beam computed tomography. Am J Orthod Dentofacial
Orthop. 2021;160(4):567–72.
https://doi.org/10.1016/j.ajodo.2020.06.038 PMID: 34561042.
8. Sayar G, Kılınç DD. Rapid maxillary expansion outcomes
according to midpalatal suture maturation levels. Prog Orthod.
2019;20(1):27. https://doi.org/10.1186/s40510-019-0285-6
PMID: 31385053.
9. Christovam IO, Lisboa CO, Vilani GN, Brandão RC, Visconti
MA, Mattos CT, et al. Tomographic analysis of the midpalatal
suture prior to rapid maxillary expansion. Dent Press J Orthod.
2021;26(3):e2119300. https://doi.org/10.1590/2177-
6709.26.3.e2119300.oar PMID: 34346984.
10. Munusamy N, Tandon P, Singh G, Nagar A, Patil R. Evaluation
of the midpalatal suture and its correlation with cervical
vertebral maturation stages and second molar mineralization
stages: a CBCT study. J Indian Orthod Soc. 2023;57(4):406–14.
https://doi.org/10.1177/03015742231170032.
11. Ńefeldaitė S, Mitalauskienė A, Trakinienė G, Vasiliauskas A,
Lopatienė K, Venskutonis T. Correlation between third molar
mineralization and midpalatal suture maturity: a cone-beam
computed tomography study. Med Sci Monit. 2023;29:e940539.
https://doi.org/10.12659/MSM.940539 PMID: 37586095.
12. Dadgar S, Hadian H, Ghobadi M, Sobouti F, Rakhshan V.
Correlations among chronological age, cervical vertebral
maturation index, and Demirjian developmental stage of the
maxillary and mandibular canines and second molars. Surg
Radiol Anat. 2021;43(1):131–43.
https://doi.org/10.1007/s00276-020-02582-9 PMID: 32915394.
13. Liu H, Feng L, Wang L. Diagnostic value of cervical vertebral
maturation stages for midpalatal suture maturation assessment: a
study in the Chinese population. BMC Oral Health.
2023;23(1):504. https://doi.org/10.1186/s12903-023-03187-2
PMID: 37473869.
14. Angelieri F, Franchi L, Cevidanes LHS, McNamara JA Jr.
Diagnostic performance of skeletal maturity for the assessment
of midpalatal suture maturation. Am J Orthod Dentofacial
Orthop. 2015;148(6):1010–16.
https://doi.org/10.1016/j.ajodo.2015.06.022 PMID: 26672610.
Evaluation of Midpalatal Suture Maturation and its C orrelation