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J Gandhara Med Dent Sci
July - September 2026
ORIGINAL ARTICLE
How to cite this article
EVALUATION OF MIDPALATAL SUTURE MATURATION AND ITS CORRELATION WITH
MAXILLARY SECOND MOLAR MINERALIZATION IN GROWING INDIVIDUALS
Salka Urooj
1
, Ayesha Ikhar
2
, Sohrab Shaheed
3
,
Urooj S, Iftikhar A, Shaheed S.
Evaluation Of Midpalatal Suture
Maturation And Its Correlation With
Maxillary Second Molar
Mineralization In Growing
Individuals. J Gandhara Med Dent Sci.
2026;13(3):14-19.
Date of Submission: 17-12-2025
Date Revised: 05-06-2026
Date Acceptance: 08-06-2026
2
Associate Professor, Department of
Orthodontic, Rehman College of
Dentistry, Peshawar
3
Professor, Department of Orthodontic,
Rehman College of Dentistry, Peshawar
Correspondence
1
Salka Urooj,
rd
Year Resident,
Department of Orthodontic, Rehman
College of Dentistry, Peshawar
:
:
+92-320 - 8010660
salka.urooj@rmi.edu.pk
ABSTRACT
OBJECTIVES
This study aimed to evaluate and correlate, using CBCT, the maturation
stages of the mid-palatal suture (MPS) and the mineralization stages of the
maxillary second molars in subjects to determine whether molar
mineralization can predict MPS maturation.
METHODOLOGY
This study (cross-sectional) was conducted on 33 participants (aged 10-18
years). MPS maturation was assessed according to Angelieri et al., and
second molar mineralization was evaluated using the Demirjian index from
CBCTs. Spearman's correlation was used to assess the relationship between
MPS maturation and second molar mineralization. Furthermore, partial
correlation analysis was conducted to assess the relationship between these
variables while controlling for age. Intra-examiner reliability was calculated
utilizing intraclass correlation coecients (ICC).
RESULTS
Intra-examiner reliability was high (ICC = 0.86). A signicant moderate
positive correlation was found between MPS maturation stages and second
molar mineralization (ρ = 0.479, p = 0.005). When analyzed by gender,
females showed a signicant moderate correlation (ρ = 0.522, p = 0.018),
whereas males showed a positive but non-signicant correlation (ρ = 0.402,
p = 0.173). Partial correlation analysis revealed a diminishing correlation
between MPS maturation and molar mineralization (ρ = 0.282, p = 0.117).
CONCLUSION
A moderate correlation was observed between second molar mineralization
and MPS maturation. However, the weakened correlation after adjustment
for age indicates that the relationship is largely age dependent. Therefore,
second molar mineralization may serve as a supporting indicator of MPS
maturation rather than a denitive predictor.
KEYWORDS: Mid-Palatal Suture Maturation (Mps), Demirjian Index,
Molar Mineralization, CBCT.
INTRODUCTION
Transverse maxillary deciency is a challenging
orthodontic problem with a prevalence of 8-22%.
1
It
can lead to complex issues such as posterior crossbite,
crowding, a V-shaped maxillary arch, a high and
narrow vaulted palate, airway constriction, changes in
tongue posture, and mouth breathing, all of which can
deleteriously impact muscular function and
esthetics.
2,3,4
Several treatment modalities exist for
correcting transverse maxillary deciency, which
primarily depend on the maturation stage of the mid-
palatal suture (MPS). MPS is an important anatomical
structure that undergoes several changes over time.
Initially described as broad and Y-shaped during
infancy by Melson, its morphology changes gradually,
eventually becoming fully interdigitated and
fused.
4,5
Various orthopedic interventions induce the
mid-palatal suture (MPS) separation, thereby
attempting to correct the transverse maxillary
deficiency and associated problems.
3,4,5,6,7
As the suture
progresses towards fusion, its resistance to opening
increases, diminishing response to skeletal expansion,
noticeably post-puberty.
8,9
Several methods are being
used for the evaluation of MPS, including 2D occlusal
radiographs and 3D CBCT. Occlusal radiographs are
considered inconclusive due to overlapping structures
and the risk of false interpretation, given their 2D
nature.
10
Currently, CBCT is preferred, as it provides a
clear 3D view of the suture. In 2013, Angelieri et al.
proposed a method of individual evaluation of MPS
maturation using CBCT and determined ve
maturational stages (least to highly mineralized), g
1.
5,10,11
Assessment of dental development is one of the
supportive indicators for predicting growth phases.
Generally, dental development can be evaluated at the
tooth-eruption or tooth-formation stages. Currently, the
Demirjian index is used in the literature for the
assessment of tooth mineralization and calcication,
among other methods.
12
The MPS maturation has
https://doi.org/10.37762/jgmds.13-3.839
3
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J Gandhara Med Dent Sci
July - September 2026
been correlated with various parameters like
chronological age, hand-wrist x-rays
4, and cervical
maturation CVM.
3,10,13
Age is not a reliable parameter,
as reports show patients with no signs of fusion at ages
27, 32, 54, and even 71 years.
3,14,15
Recently, some
studies have been conducted to correlate dental age and
tooth mineralization with MPS maturation. In 2020,
Gao et al. investigated the correlation between MPS
and Demirjian dental age. Correlation of left lower
second molar and MPS had the highest Spearman
coecient (0.68), while that of left lower second
premolar and MPS was the second highest (0.64).
16
In
2023, Ńefeldaitė et al. evaluated mineralization of the
third molar and its correlation with MPS maturation. A
correlation (statistically signicant positive) was found
between the stages of third-molar mineralization and
mid-palatal suture maturation (ρ =0.814, P<0.01).
11
Another similar study was performed in India by
Munusamy et al. in 2023, results showed a positive
correlation between CVM Stage and MPS stage (ρ =
0.930), mandibular left second molar mineralization
stage and MPS stage (ρ = 0.757), and CVM stage and
mandibular left second molar mineralization stage (ρ =
0.760).
10
Some of these earlier correlation studies used
OPG, a 2D imaging tool, to assess the tooth, leading to
a preference for studying the lower second molar
because of potential structural overlap in the maxilla
that could impede accurate evaluation.
10
However, with
the utilization of CBCT, we can readily and accurately
examine the upper second molar, beneting from a
clearer 3D perspective. The maxillary second molar
was also selected because a previous study reported the
highest correlation coecient.
17
Therefore, the
objective of this study was to ascertain a correlation and
determine whether the mineralization stages of the
maxillary second molar could serve as a predictive
indicator for the maturation stages of MPS.
METHODOLOGY
This cross-sectional study included 33 participants, and
it was conducted at Rehman College of Dentistry
(RCD) after approval from the institutional Ethical
Review Committee (EC Ref No: RCD-23-03-170).
Informed consent was obtained from patients and
guardians for minors. The sample size was 33
participants. Based on a previously reported correlation
coecient of 0.68 between MPS maturation and dental
mineralization by Gao et al., a confidence level of 99%
and a statistical power of 90% were set, yielding a
minimum required sample size of 33 participants.
16
non-probability convenience sampling was employed.
The Age 10-18 (male/female) are coming to the
Radiology department of RCD for dental diagnostics.
Whole maxilla CBCTs with dentition, including second
molars, and high-quality CBCTs without artifacts were
included, whereas previous orthodontic treatment was
excluded. Patients with craniofacial conditions or
syndromes, CLP, and a history of trauma to the maxilla
were excluded. Participants were further categorized
into preadolescent and postadolescent groups based on
chronological age. Individuals aged 10-14 years were
classified as preadolescents and those aged 15-18 years
as postadolescents. The CBCT records of patients aged
10-18 years who came to the Radiology Department
were collected from RCD, Peshawar. These records
were taken using the CBCT scanner Carestream CS
9000 (Carestream Dental, Atlanta, GA) with the
following scanning parameters: 70 kVp, 10 mA, 10.8 s,
and a voxel size of 200µm. All CBCT volumes were
acquired with the patients in an upright posture, with
their heads in a natural head position, the mandible
fixed with a chin rest, and the Frankfort plane parallel
to the ground. For analysis, all collected CBCT data
were converted to DICOM (Digital Imaging and
Communications in Medicine) format and then
imported into CS 3D imaging v3.10.11 (Carestream
Dental, Atlanta, GA). The acquired images were
standardized and aligned such that the Frankfort
Horizontal Plane was parallel to the oor. With the CS
3D imaging v3.10.11(Carestream Dental, Atlanta, GA),
maxillary MPS were explored in the axial view of the
multiplanar reconstruction. The thickness of the
midsagittal cross-sectional slice was adjusted for better
visualization of the palate and suture. The stages of
MPS fusion were observed on these standardized
CBCT images in the axial plane, based on the method
provided by Angeileri et al. (Fig 1a(a-e).
5,10,11
The
maxillary second molar mineralization stages were
investigated according to the Demirjian index11 on
acquired CBCTs (Fig 1b).
Fig 1a. Mid palatal suture maturation stages(a-e) according to
Angeileri et al.
5
Evaluation of Midpalatal Suture Maturation and its C orrelation
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J Gandhara Med Dent Sci
July - September 2026
Data were recorded and analyzed using SPSS version
25 (IBM Corp., Armonk, NY). For the quantitative
Figure 1b. Tooth mineralization stages(a-h) according to
Demirjian et al. (1973).
variable (age), means and standard deviations were
calculated. For all the qualitative variables (gender,
MPS maturation stages, index), frequencies were
calculated. Normality of the data was tested with the
Shapiro-Wilk test, and nonparametric tests were
applied. The correlation between the stages of
midpalatal suture maturation and the maxillary second-
molar mineralization was evaluated by Spearman's rank
correlation coecient (r) for the signicance of the
relationship. The signicance for all statistical tests was
set as p≤0.05. Furthermore, partial correlation analysis
was performed, controlling for age.
RESULTS
A single examiner evaluated all CBCT images. To
evaluate intra-examiner reliability, 10 CBCT scans
were randomly reassessed after a two-week interval.
Intraclass Correlation Coecient (ICC) analysis
demonstrated excellent agreement (ICC = 0.86). The
study included 33 participants, 13 (39.4%) male and 20
(60.6%) female, aged 10 to 18 years (mean age of 14.97
± 1.76 years). Analysis of suture maturation stages
revealed that most participants were in Stage E (n = 18,
54.5%), followed by Stage B (n = 10, 30.3%). Stages C
and D were less frequent, with 3 participants (9.1%)
and 2 participants (6.1%), respectively. Assessment of
second molar mineralization revealed that the majority
of participants were in Stage H (n = 19, 57.6%),
followed by Stage G (n = 7, 21.2%) and Stage F (n = 5,
15.2%). Only a small proportion were in the earlier
stages, with one participant (3.0%) in each of Stages D
and E. Spearman's correlation showed a signicant,
moderate positive correlation between second molar
mineralization and suture maturation stages (p = 0.005,
ρ = 0.479). This suggests that higher stages of second
molar mineralization are associated with more
advanced stages of suture maturation. Among male and
female participants, a moderate positive and statistically
insignificant correlation was observed between second
molar mineralization and suture maturation (ρ = 0.402,
p = 0.173) (Table 1), and a signicant moderate
positive and statistically signicant correlation was
found between second molar mineralization and suture
maturation (ρ = 0.522, p = 0.018), respectively (Table
2). Based on the age categorization, preadolescent
males exhibited early to intermediate suture stages (B-
E) and second molar stages ranging from D to G,
whereas females showed slightly more advanced stages,
reaching F-H. Among postadolescents, nearly all males
and females were in suture stage E and second molar
stage H, indicating complete skeletal and dental
maturation(Table 3). Overall, progression in second
molar mineralization corresponded closely with higher
suture maturation stages, particularly stage E, which
aligned with stage H, suggesting a positive association
between dental and skeletal maturation indicators
without controlling for age. Furthermore, partial
correlation analysis revealed that the correlation
between second molar mineralization and MPS
maturation diminished and lost statistical signicance
after adjusting for age (ρ = 0.282, p = 0.117). This
implies that age-related developmental alterations may
be partially responsible for the observed correlation
(Table 4). In the total sample (N = 33), gender showed
no signicant correlation with suture maturation,
second molar mineralization, or age (all p > 0.05).
Significant moderate positive correlations were found
between suture maturation and second molar
mineralization (Spearman's ρ = 0.479, p = 0.005),
between age and suture maturation (ρ = 0.390, p =
0.025), and between second molar mineralization and
age (ρ = 0.447, p = 0.009). These results indicate that
both dental and skeletal maturation advance with
chronological age and are moderately associated with
each other.
Table 1: Distribution of the Mid-palatal Suture Maturation
Stages according to Second Molar Mineralization Stages in Males
(n = 13)
Mean
Age
(yrs)
SD Second
Molar
Mineraliza
tion Stage
MPS
Maturat
ion
Stage B
C
D
E
Total
D 00 01 00 00 01
E 00 00 00 00 00
F 01 00 01 00 02
G 02 00 00 01 03
12.0
–
13.0
14.5
16.5
–
–
0.0
0
0.5
8
0.7
6
H
02
00
00 05 07
Note: Spearman's rho = 0.402, p = 0.173 (statistically insignicant
positive correlation).
Evaluation of Midpalatal Suture Maturation and its C orrelation
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J Gandhara Med Dent Sci
July - September 2026
Table 2: Distribution of the Mid-palatal Suture Maturation
Stages according to Second Molar Mineralization Stages in
Females (n = 20)
Table 3: Distribution According to Categories of Age
Age
Mean
(yrs)
SD
Second Molar Mine
ralization Stage
C
D
E
Total
– D 00 00 00 00
– E 00 00 01 01
0.58 F 02 00 00 03
0.58 G 00 00 02 04
13.0
14.7
15.3
16.7
0.65
H
00 00
10
12
MPS Matura
tion Stage B
00
00
01
02
02
Categories of Age Gender Suture
Maturation
Second Molar
Mineralization
Total
D E F G H
Preadolescent
Male
B 00 01 01 02 04
C 00 01 00 00 01
D 01 00 00 00 01
E 00 00 02 00 02
Total 01 02 03 02 08
Female
B 01 02 01 04
C 01 00 00 01
D 01 00 01 02
E 00 01 03 04
Total 03 03 05 11
Postadolescent
Male
E 05 05
05 05
Female
B 00 01 01 02
C 01 00 00 01
E 00 00 06 06
Total
01 01
07
09
Table 4: Interpretation of Partial Correlation
Variables
Second molar mineralization ↔
MPS maturation (controlling for
age)
Partial Correlation (r)
p
-value
0.282 0.117
DISCUSSION
The maturation stage of the mid-palatal suture (MPS)
plays a pivotal role in determining successful outcomes
of rapid maxillary expansion (RME). MPS is the key
anatomical structure that enables transverse expansion
of the maxilla in growing individuals. This study aimed
to evaluate the correlation between the maturation stage
of MPS and the mineralization stage of the maxillary
second molar using cone-beam computed tomography
(CBCT) in growing patients. The results demonstrated a
statistically signicant, moderate positive correlation
between MPS maturation and second molar
mineralization stages, suggesting that higher levels of
molar mineralization are associated with more
advanced stages of suture maturation. These ndings
suggest that dental mineralization may provide
additional information regarding MPS maturation. MPS
can be assessed with an occlusal radiograph; however,
the two-dimensional nature of this imaging modality
can create challenges and limit diagnostic accuracy due
to the superimposition of the vomer and other nasal
structures. The classication of MPS maturation is
chosen for its demonstrated simplicity, accuracy, and
reproducibility.
5
To evaluate the mineralization stages
of maxillary second molars, the Demirjian index is
used, as it is simple and reproducible. Maxillary second
molars were assessed because existing literature focuses
on mandibular second molars, with limited research on
maxillary molars. The results of this study are
consistent with ndings of previous literature
demonstrating a relationship between dental and
skeletal maturation. Gao et al. (2020) reported a
positive correlation between Demirjian stages of the
mandibular second molar and MPS maturation.
16
Similarly, Munusamy et al. (2023) observed signicant
positive correlations between the mandibular second
molar, cervical vertebral maturation (CVM), and MPS
stage, reinforcing the potential of using dental
mineralization as a predictor of suture development.
10
Likewise, Ńefeldaitė et al. (2023) found a stronger
correlation between third molar mineralization and
MPS maturation.
1
Another study by Booth et al. in
2024 showed a weak correlation between MPS and
third molar mineralization, since many people have
congenitally missing third molars.
18
Interestingly, the
current study's ndings showed that chronological age
was not a reliable predictor of MPS maturation or molar
mineralization, as age correlations were weak and
statistically insignicant among males. However, when
both genders were analyzed collectively, signicant
moderate correlations emerged between suture
maturation and age and between second molar
mineralization and age. These results align with
previous studies reporting considerable individual
variation in MPS fusion timing, with some individuals
showing open sutures beyond age 30.
3,14,15
This
underscores the inadequacy of chronological age as a
standalone indicator for clinical decision-making in
maxillary expansion therapy. Further partial correlation
analysis, controlling for age, indicated that age-related
developmental changes may partially explain the
observed relationship between second molar
mineralization and MPS maturation. Therefore, dental
mineralization should be considered a supportive
indicator rather than an independent predictor of MPS
maturation. Gender dierences were also observed in
our study: females exhibited a signicant moderate
correlation between second molar mineralization and
MPS maturation, while the correlation among males,
although positive, was not statistically signicant,
possibly due to the small sample size. This may reect
the generally earlier onset of skeletal and dental
maturation in females compared to males, consistent
with ndings from other studies. The present outcomes
of our study may reinforce the notion that dental
development can serve as an auxiliary indicator of
Evaluation of Midpalatal Suture Maturation and its C orrelation
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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 aected 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
rene 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
inuence 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
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AUTHORS CONTRIBUTION
The authors accept responsibility for all aspects of the work
and will ensure that any concerns regarding the accuracy or
integrity of any part are properly investigated and resolved.
Salka Urooj
-
Concept & Design; Data Acquisition;
Critical
Revision; Supervision;
Final Approval
Ayesha Iftikhar
-
Concept & Design; Data Acquisition; Data
Analysis/Interpretation; Critical Revision; Final Approval
Sohrab Shaheed
-
Concept & Design; Data Acquisition;
Drafting Manuscript; Critical Revision; Supervision; Final
Approval
Evaluation of Midpalatal Suture Maturation and its C orrelation