Upload
husam-samia
View
44
Download
2
Tags:
Embed Size (px)
DESCRIPTION
orthodontics
Citation preview
ORIGINAL ARTICLE
J. Djordjevic
M. Jadallah
A. I. Zhurov
A. M. Toma
S. Richmond
Three-dimensional analysis of facial
shape and symmetry in twins using
laser surface scanning
Authors' affiliation:J. Djordjevic, M. Jadallah, A. I. Zhurov,
A. M. Toma, S. Richmond, Department of
Applied Clinical Research and Public
Health, Cardiff University Dental Hospital,
Cardiff, Wales, UK
Correspondence to:Dr Jelena Djordjevic
Department of Applied Clinical Research
and Public Health
Cardiff University Dental Hospital,
1st floor, room 112, Heath Park,
Cardiff, CF14 4XY, Wales
UK
E-mail: [email protected]
Djordjevic J., Jadallah M., Zhurov A. I., Toma A. M., Richmond S.
Three-dimensional analysis of facial shape and symmetry in twins using
laser surface scanning
Orthod Craniofac Res 2012. © 2012 John Wiley & Sons A/S. Published by
Blackwell Publishing Ltd
Structured Abstract
Objectives – Three-dimensional analysis of facial shape and symmetry in
twins.
Setting and Sample Population – Faces of 37 twin pairs [19 monozy-
gotic (MZ) and 18 dizygotic (DZ)] were laser scanned at the age of 15
during a follow-up of the Avon Longitudinal Study of Parents and Children
(ALSPAC), South West of England.
Material and Methods – Facial shape was analysed using two methods:
1) Procrustes analysis of landmark configurations (63 x, y and z coordi-
nates of 21 facial landmarks) and 2) three-dimensional comparisons of
facial surfaces within each twin pair. Monozygotic and DZ twins were
compared using ellipsoids representing 95% of the variation in landmark
configurations and surface-based average faces. Facial symmetry was
analysed by superimposing the original and mirror facial images.
Results – Both analyses showed greater similarity of facial shape inMZ twins,
with lower third being the least similar. Procrustes analysis did not reveal any
significant difference in facial landmark configurations of MZ andDZ twins.
The average faces of MZ andDZmales were coincident in the forehead,
supraorbital and infraorbital ridges, the bridge of the nose and lower lip. In MZ
andDZ females, the eyes, supraorbital and infraorbital ridges, philtrum and
lower part of the cheeks were coincident. Zygosity did not seem to influence
the amount of facial symmetry. Lower facial third was themost asymmetrical.
Conclusion – Three-dimensional analyses revealed differences in
facial shapes of MZ and DZ twins. The relative contribution of genetic
and environmental factors is different for the upper, middle and lower
facial thirds.
Key words: 3D imaging; ALSPAC; face; shape analysis; surface laser
scanning; symmetry; twins
Date:Accepted 6 November 2012
DOI: 10.1111/ocr.12012
© 2012 John Wiley & Sons A/S. Published by
Blackwell Publishing Ltd
Introduction
From the pioneering work of Francis Galton (1) to
the modern-day human genome (2) and phenome
projects (3), genetic and environmental determi-
nants of craniofacial morphology have not ceased
to intrigue scientists. Research efforts have been
supported by the clinical interest of orthodontists
in altering unfavourable facial growth. The success
of such undertaking would depend on the possibil-
ity to influence facial hard and soft tissues within
genetic limitations. In the last few decades, herita-
bility of facial features has been investigated
through twin (4–9) and family studies (10–14),
which shed some light on this complex research
area. However, individual genetic variants that
affect normal variation in human facial features
have yet to be identified (15).
The majority of twin studies in orthodontics
have relied on two-dimensional data collected
from lateral cephalograms of participants. Small
number of landmarks has been used to describe
facial hard tissue morphology. Linear distances
between landmarks have been used as an esti-
mate of facial size and the angles between inter-
secting lines drawn between landmarks as an
estimate of facial shape (16). It is clear that most
information about the facial shape has been
simply ignored (17).
Three-dimensional imaging capture techniques
have the potential to overcome some of the draw-
backs of two-dimensional studies (17, 18). One of
the first three-dimensional studies exploring
facial morphology of twins was performed by
Burke (19). Using stereophotogrammetry, he
analysed 13 parameters on facial contour maps of
18 twin pairs and concluded that dizygotic (DZ)
twin pairs had larger mean intrapair differences
in facial parameters than the monozygotic (MZ)
pairs. The author identified important facial
parameters to distinguish between the two groups
and used them to calculate a ‘facial similarity
index’. Investigations of three-dimensional sym-
metry in twins have also started with stereophoto-
grammetry. In a 9-year longitudinal study, three
pairs of bilateral facial parameters were measured
in six pairs of MZ twins (20). The authors found
that asymmetry was very small, amounting at
most to a few millimetres, and not much larger
than the measuring error of the method. Asym-
metry could not be related to twin zygosity, ado-
lescence or age.
More recent studies have used laser surface
scanning to capture three-dimensional facial data
of twins. Naini and Moss (21) analysed faces of 10
MZ twin pairs and 16 DZ twin pairs using two
methods. Analysis of 28 interlandmark distances
revealed significant genetic determination for
midfacial parameters. The second method (analy-
sis of facial surface shape) showed the strongest
genetic determination for a triangular area of the
midface encompassing the orbital rims, intercan-
thal area and nose. The authors also concluded
that the concordance for vertical and anteropos-
terior facial parameters was greater in MZ twins
than in DZ twins. Moss (22) analysed 10 MZ and
10 DZ twin pairs using the fixed optical surface
scanner. Facial surfaces of MZ twins exhibited
similarities in shape of the brows, bridge of the
nose and infraorbital ridges, whereas the lower
parts of the face (cheeks, chin, and lips) were con-
siderably different. In DZ twins, the areas around
the eyes were different in shape as well as the
lower part of the face.
Three-dimensional analyses of facial character-
istics of twins are rare and suffer from small, unrep-
resentative samples, with a wide age range and
different ethnicity. Therefore, the aim of this study
was to analyse three-dimensional facial shape and
symmetry of MZ and DZ twins, identified from a
cohort of 15-year-old white British adolescents,
using anon-invasive laser surface scanning.
Material and methodsParticipants
Participants were recruited from the Avon Longi-
tudinal Study of Parents and Children (ALSPAC),
a UK-based longitudinal birth cohort study
designed to explore genetic and environmental
influences on health and well-being (23). All preg-
nant women resident in the old administrative
county of Avon (centred around the city of Bristol
in the South West of England), and their resulting
2 | Orthod Craniofac Res 2012
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
children were eligible to participate in ALSPAC if
their estimated delivery date fell between 1 April
1991 and 31 December 1992 inclusive (23, 24). Of
the initial 14 541 pregnancies, all but 69 had
known birth outcome. Of these 14 472 pregnan-
cies, 14 062 were live births and 13 988 were alive
at 1 year. The total number of twin pairs in the
ALSPAC study sample is 204 (24).
During 2006 and 2007, invitations to attend the
annual recall clinic were sent to 9985 15-year-old
adolescents. Of 5253 adolescents who attended,
4784 facial scans were collected. After exclusion
of poor-quality scans and those with obvious
facial dysmorphology, facial scans of 4747 adoles-
cents (2233 males and 2514 females) were
retained (25). Among these, 43 twin pairs were
identified based on their mothers’ reports to the
questionnaires. Zygosity was checked using
genetic testing. DNA samples were not available
for six twin pairs, and therefore, these were
excluded from the analyses. The final sample con-
sisted of 37 twin pairs, 19 MZ pairs (nine male-
male and 10 female-female) and 18 DZ pairs
(seven male-male, three female-female and eight
mixed). The mean age of MZ twins was 184.7 (SD
1.6) months and the mean age of DZ twins was
184.9 (SD 2.1) months (Table 1). The study was
approved by the ALSPAC Ethics and Law Com-
mittee and the Local Research Ethics Committee.
The consent forms were signed by the parents.
Laser scanning
Two laser scanning devices Vivid 900 (Konica
Minolta Sensing Europe, Milton Keynes, UK)
were used. Accuracy and reliability of this
system (series Vivid 700, 900, and 910) were
tested and proved suitable for clinical applica-
tions (26–31). Participants were instructed to sit
still on a stool with adjustable height, 135 cm in
front of the mirror placed between the scanners.
They were told to adopt neutral expression, with
relaxed facial musculature. Natural head position
was obtained by asking them to look at the mir-
ror and level their eyes to the horizontal mark
on the mirror (by adjusting the stool height),
and to level their facial midline to the vertical
mark on the mirror (by moving the stool slightly
left or right). They were also asked not to wear
any make-up on the day of scanning, and had to
take off the hats and glasses. Also, any hair over-
lying the face had to be moved away by a hair-
band or tightened by hairpins. Prior to scanning,
participants were told to swallow hard (in order
to bring their mandible in rest position) and
close their lips. All twins fulfilled these requests.
The scanning took approximately 8 s. If the per-
son incidentally moved, smiled or changed facial
expression, scanning was repeated. Medium-
range lenses with a focal length of 14.5 mm were
used. Scanning was controlled by MultiScan
software (Cebas Computer, GmBH, Eppelheim,
Germany). For each participant, two files in
VIVID format were obtained, which contained
left and right facial halves. The data were saved
on the computer memory for further analysis.
Processing of facial scans
Facial images were imported into Rapidform
2006 (INUS Technology Inc., Seoul, South Korea)
and processed using an in-house-developed
Table 1. Characteristics of the study sample
Monozygotic twins Dizygotic twins
N (pairs)
Age (months)
N (pairs)
Age (months)
Mean (SD) Range Mean (SD) Range
Males 9 184.6 (1.4) 183–187 Males 7 183.4 (1.2) 182–185
Females 10 184.8 (1.8) 182–188 Females 3 185.3 (1.4) 184–187
Mixed 8 186.0 (2.3) 184–191
Total 19 184.7 (1.6) 182–188 Total 18 184.9 (2.1) 182–191
Orthod Craniofac Res 2012 | 3
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
subroutine. This technique has been tested on a
plaster cast face, several adults and 40 children
(32–34). The raw data imported represents a
cluster of a large number of unconnected shells.
The term shell is used by the software to denote
a triangulated surface or several surfaces treated
as one (32). Therefore, the cluster first had to be
separated into shells, and then all irrelevant
shells removed (background objects, bits of
clothes, hair, ears and neck). The raw face
obtained by scanning has a rough surface and
therefore was smoothed, while preserving shape
and volume (32). The next step was registration
of the two facial halves using the best-fit algo-
rithm. The quality of the scans was checked
prior to merging facial halves. Only scans that
fulfilled the criteria of at least 70% matching in
the overlap area within 0.5 mm, and at least
95% matching within 1 mm, were further pro-
cessed (35). Finally, the holes in the surface
meshes were filled in (eyebrows, eyes, nostrils)
and two facial halves were merged (32).
Prior to any analysis, the position of faces
needed to be standardized. It was accomplished
by fitting them into the same reference frame,
with the point halfway between the inner canthi
of the eyes as the origin. Coronal plane (xy) was
determined by the cylinder that fitted all data
points of the original-mirror face structure and
therefore was based on the natural head position
registered during the scanning. Sagittal plane
(yz) was passing through the middle of the face.
It was determined as the symmetry plane of the
original-mirror face structure. Transverse plane
(xz) was passing through the inner canthi of the
eyes and was perpendicular to previous two
planes. Standardisation of the faces was fully
automated (17). Twenty-one facial landmarks, as
defined by Farkas (36), were manually identified
on the facial scans by one experienced operator
(Fig. 1). For each face, 63 coordinates (x, y and z
coordinates of 21 facial landmarks) were
recorded and saved.
Facial shape analysis
Facial shape analysis was performed using two
methods: landmark-based and surface-based.
Similarities and differences in facial shape
within- and between-twin pairs were explored.
For within-pair comparisons, the data was col-
lected only from the same gender twins: 19 MZ
pairs (nine male-male and 10 female-female)
and 10 DZ pairs (seven male-male and three
female-female). Eight pairs of DZ mixed twins
were excluded from this analysis, as previous
three-dimensional study showed that there is a
gender difference in facial shape of 15.5-year-old
ALSPAC adolescents (35).
The first method (landmark-based) comprised
Generalized Procrustes Analysis (GPA), which
was used to register (align) the sets of 21 facial
landmarks by removing translation and rotation
(37, 38). As facial form consists of size and
shape, size differences were removed by scaling,
separately for males and females in the sample.
Within each twin pair, two landmark configura-
tions were compared and the overall similarity
in facial shape measured as the Procrustes
Fig. 1. Anthropometric landmarks that were identified on the
facial scans. (1) Glabella (g); (2) Nasion (n); (3) Endocanthion
left (enl); (4) Endocanthion right (enr); (5) Exocanthion left
(exl); (6) Exocanthion right (exr); (7) Palpebrale superius left
(psl); (8) Palpebrale superius right (psr); (9) Palpebrale inferi-
us left (pil); (10) Palpebrale inferius right (pir); (11) Pronasale
(prn); (12) Subnasale (sn); (13) Alare left (all); (14) Alare right
(alr); (15) Labiale superius (ls); (16) Crista philtri left (cphl);
(17) Crista philtri right (cphr); (18) Labiale inferius (li); (19)
Cheilion left (chl); (20) Cheilion right (chr); (21) Pogonion
(pg). Definitions by Farkas (36) were used.
4 | Orthod Craniofac Res 2012
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
distance. The lower the Procrustes distance
between the two landmark configurations, the
more similar facial shapes of two twins were.
In order to visualize the differences between
MZ and DZ twins, four sets of ellipsoids were
constructed for: MZ males (n = 18), MZ females
(n = 20), DZ males (n = 22, 14 from male-male
and eight from mixed pairs) and DZ females
(n = 14, six from female-female and eight from
mixed pairs). Each ellipsoid represented 95% of
the variation (two standard deviations from the
mean) in a position of a given facial landmark.
Landmark configurations were aligned on mid-
endocanthion (a point halfway between the
inner canthi of the eyes) and compared.
The second method (surface-based) consisted
of comparison of faces using all available data
points (several thousands) captured by the laser
scanning device. As in the first method
described, the faces were first scaled to the aver-
age Procrustes size calculated from the land-
marks (for males and females separately). The
two faces of twins were then superimposed using
best-fit registration, a standard tool in Rapidform
2006, based on the iterative closest point algo-
rithm. Absolute distances between all pairs of
points of the two superimposed facial surfaces
were automatically collected and the average dis-
tance between them calculated. The lower the
average distance between the two facial surfaces,
the more similar facial shapes of two twins were.
In addition, coincidence of the two faces was
expressed as a percentage. A colour deviation
map and a histogram were generated for each
twin pair to visualize and quantify the differences
in two facial shapes (Fig. 2). The same two
parameters were obtained for the upper, middle
and lower facial thirds. The upper third was
located above a horizontal line connecting inner
corners of the eyes (endocanthion left and right).
The middle third occupied the area between the
horizontal line connecting inner corners of the
eyes and a horizontal line connecting corners of
the mouth (cheilion left and right). The lower
third was located below the horizontal line con-
necting corners of the mouth.
The differences between MZ and DZ twins
were analysed using average faces. These were
constructed for the aforementioned groups of
twins: MZ males (n = 18), MZ females (n = 20),
DZ males (n = 22, 14 from male-male and eight
from mixed pairs), and DZ females (n = 14, six
from female-female and eight from mixed pairs).
Iterative averaging in the local normal direction
to a template was performed using another
internally developed subroutine for Rapidform
2006. This ensured that the line of averaging met
all faces at nearly right angles, thus providing
maximum accuracy (17). Three iterations were
performed. The average faces were aligned on
Fig. 2. The colour map and the histogram show the differences in three-dimensional facial shape of two monozygotic female
twins. Faces of twins were scaled to the average Procrustes size for females (calculated from 21 facial landmarks) and superim-
posed in Rapidform 2006 (Inus Technology Inc., Seoul, South Korea) using best-fit algorithm. The average distance between the
two facial surfaces was 0.73 mm (calculated using internally developed subroutine) and the coincidence within 0.5 mm tolerance
level was 41.42% (grey area on the colour map). Shades of blue (minimum value �1.96 mm) represent negative difference for the
face of the first twin (which is a reference) and the shades of red represent positive difference (maximum value 3.98 mm). Dotted
lines on the middle image (which connect inner corners of the eyes and corners of the mouth) divide the face into the upper,
middle and lower thirds.
Orthod Craniofac Res 2012 | 5
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
the mid-endocanthion. The differences in facial
shape of MZ and DZ twins were visualized and
quantified on colour maps and histograms,
respectively.
Facial symmetry analysis
Facial symmetry analysis was performed using
aforementioned in-house-developed subroutine
for Rapidform 2006. In this part of the study,
only the three-dimensional facial surface was
considered. For each participant, the amount of
three-dimensional symmetry was calculated after
superimposing (best-fit registering) the original
face with its mirror image (Fig. 3). The average
distance between the original and the mirror
faces and the percentage of coincidence were
measured for the whole face, the upper, middle
and lower facial thirds, as previously described
(39, 40). The data was collected from all partici-
pating twins.
Error of the method
An earlier study has shown that the Vivid 900
scanner is accurate to a level of 0.56 � 0.25 mm
and that the error in computerized registration
of left and right scans is 0.13 � 0.18 mm (26). In
all facial surface comparisons, any difference
<0.5 mm was considered insignificant and was
therefore chosen as the tolerance level. The
quality of facial scans was compared within and
between MZ and DZ pairs. In order to examine
the intra-operator reliability in landmark identi-
fication, facial scans of 30 individuals (15 males
and 15 females) were randomly selected from
the final sample of 74 twins and landmarked on
two occasions, 2 weeks apart. The reliability of
the landmarks was determined using Bland–Alt-
man plots, as described previously (41).
Statistical analysis
Procrustes analysis was performed in R project,
the open source software. Mean and standard
deviations of all landmarks in the x-, y- and
z-directions were calculated after scaling male and
female subsamples. The distribution of all other
data was checked using histograms, Q-Q plots
and Shapiro–Wilk test. As the distribution was
not normal and the subsamples were relatively
small, the transformation of the data was not
attempted. The data is presented as median and
interquartile range (25th percentile, 75th percen-
tile). Non-parametric Mann–Whitney U test was
used for all comparisons between MZ and DZ
twin pairs. The upper, middle and lower facial
thirds within twin pairs were compared using
Fig. 3. The colour map and the histogram show three-dimensional facial symmetry in a 15-year-old monozygotic male. The ori-
ginal face (left) and the mirror face (right) were superimposed (best-fit registered) in Rapidform 2006 (Inus Technology Inc.,
Seoul, South Korea). The average distance between the original and the mirror faces was 0.84 mm (calculated using internally
developed subroutine) and the coincidence within 0.5 mm tolerance level was 63.15% (represented by grey area on the colour
map). Shades of blue (minimum value �2.07 mm) and shades of red (maximum value 2.13 mm) represent asymmetrical parts of
the face.
6 | Orthod Craniofac Res 2012
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
Kruskal–Wallis one-way analysis of variance test.
When a statistically significant difference was
noticed, Mann–Whitney U test was used to
explore it further. P value <0.05 was considered
statistically significant. These statistical analyses
were performed in the Statistical Package for
Social Sciences Software version 17.0 (SPSS Inc.,
Chicago, IL, USA).
Results
There was no statistically significant difference
in the quality of the scans within and between
the twin groups (p > 0.05). Landmark identifica-
tion error was <1 mm for majority of land-
marks’ coordinates. The results of both analyses
(landmark-based and surface-based) showed
greater similarity of facial shape within MZ twin
pairs in comparison with DZ twin pairs
(Table 2). Landmark-based analysis revealed
that there was an overlap in the interquartile
ranges (25th to 75th percentile) for Procrustes
distances of landmark configurations between
MZ and DZ males. However, according to the
surface-based method, the interquartile ranges
for similarity of facial shapes of the two twin
groups were distinct and no overlap could be
noticed.
Further investigation revealed that within MZ
male pairs lower facial third was the least simi-
lar, whereas in females, no such difference was
noticed (Table 3). In DZ male pairs, the upper
facial third was the most similar. The same anal-
ysis was not performed separately for females
due to only three observations. When the data
for DZ males and females were combined, the
results showed that lower facial third was the
least similar within DZ twin pairs.
Facial shape of MZ and DZ twins was com-
pared separately for males and females. After
scaling and generalized Procrustes registration,
the results showed that standard deviations of
21 facial landmarks were very similar between
MZ and DZ twins (Tables 4 and 5). This is illus-
trated on ellipsoid plots, which represent 95%
of the variation in landmark configurations
(Fig. 4).
Table 2. Within-pair comparisons of facial shapes in monozygotic and dizygotic twins assessed by landmark-based and sur-face-based methods
Parameter
Monozygotic twins Dizygotic twins
N Median
25th
perc.
75th
perc. N Median
25th
perc.
75th
perc. p Value†
Landmark-based method
Pr. dist. (mm) Males 9 9.86 9.19 11.99 7 10.73 10.53 13.76 0.233 (NS)
Females 10 9.86 9.20 11.51 3 – – – –
All 19 9.31 7.48 10.44 10 10.71 10.37 14.16 0.004
Surface-based method
Av. dist. (mm) Males 9 0.87 0.74 0.99 7 1.30 1.12 1.51 0.001
Females 10 0.77 0.63 1.12 3 – – – –
All 19 0.82 0.73 1.04 10 1.30 1.12 1.60 <0.001
Coincid. (%) Males 9 38.94 36.46 41.98 7 24.84 21.86 29.55 0.001
Females 10 43.00 31.45 51.66 3 – – – –
All 19 39.39 36.43 44.08 10 24.80 18.62 30.93 <0.001
N, number of within-pair observations; perc., percentile; Pr. dist., Procrustes distance between two landmark configurations within atwin pair; Av. dist., average distance between the two faces of twins; Coincid., the percentage of coincidence between the two faces oftwins (see text and Fig. 2 for further explanation).Eight mixed dizygotic pairs were excluded from the analysis (see text for further explanation) and the data for dizygotic females werenot analysed separately due to only three observations.NS, not statistically significant.†Mann–Whitney U test was performed.
Orthod Craniofac Res 2012 | 7
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
Average faces of MZ and DZ twins of both gen-
ders are presented in Fig. 5. Monozygotic males
tend to have wider face and nose with prominent
upper lip when compared with DZ males, with a
maximum difference of 1.8 mm. On the other
hand, DZ males tend to have more prominent
eyes, upper part of the forehead and central part
of the chin, with a maximum difference of
1.2 mm. The two average male faces coincide
34.1%, mainly in the forehead, supraorbital and
infraorbital ridges, the bridge of the nose and
lower lip. Monozygotic females tend to have
wider lower part of the face, wider nose and more
prominent lips when compared with DZ females,
with a maximum difference of 1.5 mm. Dizygotic
females tend to have more prominent forehead,
the bridge of the nose, malar area and lower part
of the chin, with a maximum difference of
1.1 mm. The two average female faces coincide
61.1%, mainly in the eyes, supraorbital and infra-
orbital ridges, philtrum of the upper lip and lower
part of the cheeks.
Three-dimensional symmetry analysis showed
that there was no statistically significant
difference in the amount of facial symmetry
between MZ and DZ twins (Table 6). When
upper, middle and lower facial thirds were com-
pared, lower facial third was found to be the
most asymmetrical in both twin groups
(Table 7).
Discussion
In this exploratory cross-sectional study, three-
dimensional facial shape and symmetry of 37
twin pairs was investigated using non-invasive
laser surface scanning. Facial analysis was per-
formed using two methods. The first method
was based on geometric morphometrics, which
employs GPA to register (align) sets of landmark
configurations. Although powerful, Procrustes
registration is not an ideal technique to superim-
pose numerous faces, as it relies only on limited
Table 3. Facial shape similarity by facial thirds within monozygotic and dizygotic twin pairs
Twins N Parameter
Upper facial third Middle facial third Lower facial third
p Value†Median
25th
perc.
75th
perc. Median
25th
perc.
75th
perc. Median
25th
perc.
75th
perc.
MZ males 9 Av. dist. (mm) 0.80 0.65 0.93 0.80 0.74 0.97 0.98 0.79 1.34 0.188 (NS)
Coincid. (%) 36.85 34.98 46.13 41.18 36.24 42.31 28.60 26.34 36.34 0.032
MZ females 10 Av. dist. (mm) 0.67 0.53 1.00 0.72 0.66 1.30 0.80 0.70 1.35 0.384 (NS)
Coincid. (%) 47.51 33.18 55.78 43.96 28.24 48.80 37.32 21.20 44.47 0.325 (NS)
MZ all 19 Av. dist. (mm) 0.78 0.56 0.92 0.79 0.70 0.98 0.93 0.75 1.27 0.140 (NS)
Coincid. (%) 42.05 35.40 51.80 41.18 35.24 47.06 32.99 25.30 41.99 0.064 (NS)
DZ males 7 Av. dist. (mm) 0.90 0.68 1.22 1.56 1.05 1.78 1.57 1.27 1.89 0.019
Coincid. (%) 32.67 26.90 45.63 19.95 14.66 31.72 17.34 11.28 22.70 0.010
DZ females‡ 3 Av. dist. (mm) – – – – – – – – – –
Coincid. (%) – – – – – – – – – –
DZ same
gender§
10 Av. dist. (mm) 1.11 0.81 1.47 1.64 1.03 1.79 1.79 1.36 2.00 0.013
Coincid. (%) 29.62 20.59 38.29 19.25 15.55 31.91 17.34 13.15 21.98 0.030
N, number of within-pair observations; perc., percentile; MZ, monozygotic; DZ, dizygotic; Av. dist., average distance between the twofaces of twins in a given facial third; Coincid., the percentage of coincidence between the two faces of twins in a given facial third.NS, not statistically significant.Figures in bold indicate facial third which was significantly different from the other two (Mann–Whitney U test was applied).†Kruskal–Wallis test was performed.‡The data for dizygotic females were not analysed separately due to only three observations.§Eight mixed dizygotic pairs were excluded from the analysis (see text for further explanation).
8 | Orthod Craniofac Res 2012
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
number of landmarks and therefore does not
take into account other information available
(17). This is certainly the case when laser scan-
ning devices are used, as these can capture at
least 40 000 points on the facial surface (42).
These points do not have fixed positions and
hence cannot be used as landmarks (17). For
this reason, the second method used in this
study relied on the comparison of facial surfaces.
Two different superimposition techniques were
used and this requires further explanation.
The first method of superimposition (the best-
fit alignment) was performed to compare faces
of twins within each pair. The presumption was
that the faces of twins will be very much alike
and that slight differences can be registered
using this approach. The best-fit method is
based on the iterative closest point algorithm, a
built-in feature of the commercial software.
Essentially, it is a mathematical least-squares
method. Automatic comparison took into
account all pairs of points on the facial surfaces
captured by the devices (several thousands). We
are unaware of any study, which specifically
investigated the reliability of this software tool,
although it has been used before (17, 35, 42).
There is a theoretical possibility that different
piece of software would produce slightly differ-
ent superimposition results. This could be inves-
tigated in future studies.
The second method of superimposition was
used to compare average faces of MZ and DZ
twins. The faces were aligned on mid-endocan-
thion, the point halfway between the inner cor-
ners of the eyes. As previous research has
shown, this point can be used as a relatively
Table 4. Mean and standard deviation of 21 facial landmarks in x-, y- and z-directions for monozygotic and dizygotic malesafter scaling and Generalized Procrustes registration
Landmark
Monozygotic males (N = 18) Dizygotic males (N = 22)
X Y Z X Y Z
Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD)
Glabella (g) 0.07 (0.66) 48.91 (1.68) 4.41 (1.62) 0.32 (0.74) 48.58 (1.90) 3.99 (1.97)
Nasion (n) 0.29 (0.60) 38.04 (1.35) 3.54 (1.28) 0.43 (0.66) 38.12 (1.62) 3.31 (1.48)
Endocanthion left (enl) 16.92 (1.32) 27.35 (0.61) �12.34 (1.12) 16.91 (1.15) 27.58 (0.71) �12.54 (1.05)
Endocanthion right (enr) �16.76 (1.31) 26.47 (0.88) �11.34 (1.12) �16.55 (1.17) 27.70 (0.77) �12.55 (1.47)
Exocanthion left (exl) 44.54 (1.31) 26.95 (0.96) �18.57 (1.24) 43.99 (2.19) 27.29 (1.03) �17.81 (1.97)
Exocanthion right (exr) �45.14 (1.49) 27.49 (1.20) �18.53 (1.26) �44.25 (1.89) 28.02 (0.97) �17.89 (1.49)
Palpebrale superius left (psl) 31.09 (1.03) 34.66 (0.94) �8.83 (1.41) 30.09 (1.51) 34.48 (1.16) �7.76 (1.10)
Palpebrale superius right (psr) �31.22 (1.37) 34.25 (0.96) �7.75 (1.08) �30.97 (1.42) 34.66 (1.30) �7.11 (1.42)
Palpebrale inferius left (pil) 31.25 (1.16) 22.63 (1.06) �10.68 (0.83) 30.42 (1.64) 22.76 (1.22) �10.83 (1.25)
Palpebrale inferius right (pir) �31.14 (1.40) 22.23 (1.00) �10.70 (1.28) �30.89 (1.45) 22.87 (1.22) �10.55 (1.19)
Pronasale (prn) 0.09 (0.85) �2.68 (2.10) 26.48 (2.00) 0.06 (0.80) �2.97 (1.82) 26.38 (2.04)
Subnasale (sn) 0.38 (0.71) �15.20 (1.85) 12.06 (1.52) 0.34 (0.59) �15.42 (2.38) 12.68 (1.86)
Allare left (all) 17.29 (1.14) �6.31 (1.06) 5.68 (1.82) 16.98 (1.63) �6.74 (1.51) 4.20 (1.07)
Allare right (alr) �17.06 (1.38) �6.05 (0.99) 6.01 (1.79) �16.74 (1.39) �6.91 (1.31) 4.47 (1.70)
Labiale superius (ls) 0.13 (0.46) �30.85 (1.14) 12.85 (1.38) 0.06 (0.39) �30.93 (1.18) 13.15 (0.88)
Labiale inferius (li) 0.04 (0.43) �45.88 (2.22) 8.24 (1.23) 0.21 (0.40) �46.33 (1.25) 9.24 (1.48)
Crista philtri left (cphl) 6.17 (1.54) �29.47 (1.18) 12.26 (1.38) 6.09 (1.16) �29.07 (1.29) 12.34 (0.90)
Crista philtri right (cphr) �6.42 (1.42) �29.22 (1.19) 12.09 (1.37) �6.64 (1.17) �29.05 (1.21) 12.25 (0.84)
Cheilion left (chl) 24.05 (2.21) �38.40 (0.96) �3.03 (2.30) 24.47 (2.13) �38.75 (1.42) �4.28 (1.77)
Cheilion right (chr) �24.44 (1.72) �37.89 (0.98) �2.91 (1.77) �24.46 (2.13) 38.81 (1.65) �3.11 (1.44)
Pogonion (pg) �0.13 (0.59) �67.05 (2.99) 1.05 (3.49) 0.14 (0.50) �67.07 (2.64) 2.39 (2.46)
Orthod Craniofac Res 2012 | 9
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
stable reference during facial growth (42). The
expected level of similarity of facial features
between MZ and DZ twins was less than within
the twin pairs. In this case, the best-fit approach
would tend to decrease the difference between
the average MZ and DZ faces. On the other
hand, similarity that was demonstrated by
superimposition on mid-endocanthion point had
a greater chance of representing a true effect.
Surface-based average faces have already been
applied in orthodontics and maxillofacial surgery
to illustrate facial anomalies, evaluate facial
growth, analyse treatment effects, compare facial
morphologies between genders and among dif-
ferent populations (17, 18, 25, 35).
Both facial analyses (landmark-based and sur-
face-based) revealed greater similarity of facial
surfaces in MZ twins than in DZ twins. This is
in agreement with previous studies (19, 21, 22).
Instead of presenting only descriptive data
(obtained from colour maps), facial shape simi-
larity within twin pairs was further investigated
by dividing the faces into thirds and analysing
facial shape parameters statistically. In MZ
males, the lower facial third was the least simi-
lar, whereas in MZ females, no statistically sig-
nificant difference was determined. In DZ
males, upper facial third had the most similar
shape within twin pairs. These findings can
indicate that the influence of genetic and envi-
ronmental factors and their interaction on soft
tissue shape is not the same in all facial
regions.
The amount of three-dimensional facial sym-
metry measured in MZ and DZ twins was similar
as the one measured in 270 singletons from the
same population (40). The study failed to show
significant differences in facial symmetry
between MZ and DZ twin groups. It can either
be due to small sample size, which prevents
detection of any difference (possible type II
error) or an indication that facial soft tissue
symmetry of healthy individuals is not under
strong genetic control. The latter statement is
supported by previous study (20). More studies
with larger samples are needed to reach a defi-
A
B
Fig. 4. The 95% of the variation in scaled 21 facial landmarks for 74 monozygotic and dizygotic 15-year-old twins. (A) Front (x
and y coordinates) and profile view (y and z coordinates) for male facial landmarks (18 monozygotic males represented by light
grey ellipsoids and 22 dizygotic males represented by dark grey ellipsoids). (B) Front (x and y coordinates) and profile view (y
and z coordinates) for female facial landmarks (20 monozygotic females represented by light grey ellipsoids and 14 dizygotic
females represented by dark grey ellipsoids). The data were aligned on the mid-endocanthion, a point halfway between the inner
canthi of the eyes. For names of landmarks refer to Figure 1.
10 | Orthod Craniofac Res 2012
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
nite conclusion. Lower facial third was found to
be the most asymmetric, contrary to the findings
of previous study on 270 singletons (40), which
showed no statistically significant difference in
the amount of symmetry among upper, middle
and lower facial thirds. There is no consensus in
the literature on the most asymmetric part of
the face (39, 40).
One of the strengths of this study is that facial
analysis was performed in a sample of twins of
the same age, with confirmed zygosity, who were
born and raised in the same geographical region.
Hence, the sample was more homologous than
in previous three-dimensional studies on facial
morphology of twins. The accuracy of the laser
scanning method enables quantification of even
subtle differences in facial morphology and sym-
metry, which has not been feasible previously
using two-dimensional data from photographs
or lateral cephalograms. In order to use the full
potential of this technology, future studies on
heritability of facial features will have to adopt
some method of three-dimensional facial
analysis.
As with any observational study, there are
some limitations. The sample comes from a
longitudinal population-based study, in which
twins constitute approximately 1.3% of the
cohort (24). As facial laser scanning was orga-
nized only during one follow-up clinic, sample
size could not be increased. In addition, many
confounding factors could not be controlled. In
facial analysis, some of these factors might be
related to body mass index, medical conditions,
orthodontic treatment and trauma. In future
studies, these factors should be carefully moni-
tored to ensure the consistency of the results.
It has been argued that twin results need to be
interpreted with great caution, and that other
family relations should be taken into account,
A
B
Fig. 5. Average faces for monozygotic and dizygotic 15-year-old twins. (A) Average face for 18 monozygotic males (left), average
face for 22 dizygotic males (centre) and the colour map and the histogram (right), which show the difference in facial shape of
the two male twin groups. (B) Average face for 20 monozygotic females (left), average face for 14 dizygotic females (centre) and
the colour map and the histogram (right), which show the difference in facial shape of the two female twin groups. Average faces
were aligned on mid-endocanthion, and monozygotic average face in both genders was taken as the reference. Shades of blue
represent negative (minimum �2 mm), and shades of red positive differences (maximum 2 mm) in facial shape. Grey area repre-
sents the parts of two facial surfaces, which coincide within 0.5 mm (34.1% in males and 62.1% in females).
Orthod Craniofac Res 2012 | 11
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
especially comparisons between parents and
children (14). An ongoing project aims at
exploring this aspect of the problem, and the
faces of approximately 1300 fathers of ALSPAC
children are currently being laser scanned.
Genome-wide associations will have a major
Table 5. Mean and standard deviation of 21 facial landmarks in x-, y- and z-directions for monozygotic and dizygotic femalesafter scaling and Generalized Procrustes registration
Landmark
Monozygotic females (N = 20) Dizygotic females (N = 14)
X Y Z X Y Z
Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD) Mean (SD)
Glabella (g) 0.47 (0.65) 48.65 (2.05) 3.91 (1.33) 0.27 (0.64) 48.15 (1.48) 4.39 (1.38)
Nasion (n) 0.60 (0.64) 37.59 (2.03) 2.68 (1.26) 0.35 (0.57) 37.86 (1.77) 3.60 (1.05)
Endocanthion left (enl) 16.40 (0.95) 25.89 (0.72) �10.43 (0.82) 16.99 (1.26) 26.14 (0.63) �10.73 (0.67)
Endocanthion right (enr) �15.98 (1.11) 26.40 (0.75) �9.84 (0.75) �16.17 (1.06) 26.38 (0.82) �10.03 (0.84)
Exocanthion left (exl) 43.87 (1.85) 25.33 (0.88) �15.86 (1.39) 43.28 (1.16) 25.86 (0.51) �15.67 (1.28)
Exocanthion right (exr) �43.72 (1.95) 27.01 (0.74) �15.99 (1.59) �43.30 (1.62) 27.16 (0.57) �15.80 (1.01)
Palpebrale superius left (psl) 30.08 (1.17) 33.40 (0.86) �6.03 (1.54) 30.00 (1.13) 33.06 (1.13) �7.47 (0.77)
Palpebrale superius right (psr) �30.34 (1.51) 33.98 (1.04) �5.79 (1.31) �29.99 (1.31) 33.86 (1.27) �6.82 (0.90)
Palpebrale inferius left (pil) 30.34 (1.34) 21.25 (0.96) �8.52 (0.96) 30.22 (1.09) 21.76 (0.88) �8.51 (0.88)
Palpebrale inferius right (pir) �30.36 (1.47) 21.96 (0.84) �8.42 (1.06) �29.96 (1.27) 22.11 (0.77) �8.29 (0.87)
Pronasale (prn) �0.21 (0.73) �2.49 (1.37) 23.68 (2.02) �0.15 (0.46) �2.80 (1.49) 24.86 (1.93)
Subnasale (sn) 0.13 (0.57) �15.28 (1.46) 10.26 (1.68) 0.08 (0.50) �15.75 (1.28) 11.23 (1.53)
Allare left (all) 16.20 (1.51) �7.01 (0.90) 3.84 (0.96) 15.81 (1.21) �7.21 (1.24) 3.74 (1.06)
Allare right (alr) �16.28 (1.02) �6.87 (1.23) 3.56 (0.88) �15.78 (1.02) �6.94 (1.54) 3.45 (0.89)
Labiale superius (ls) �0.12 (0.29) �29.07 (1.48) 11.53 (1.26) �0.10 (0.33) �29.42 (1.35) 11.49 (0.92)
Labiale inferius (li) �0.06 (0.40) �45.20 (1.64) 7.88 (1.07) �0.02 (0.39) �44.42 (1.83) 7.41 (1.58)
Crista philtri left (cphl) 5.36 (0.80) �27.68 (1.40) 10.54 (1.05) 5.34 (1.09) �28.09 (1.19) 10.74 (0.92)
Crista philtri right (cphr) �5.75 (0.63) �27.41 (1.41) 10.61 (1.10) �5.86 (0.92) �27.95 (1.02) 10.70 (0.88)
Cheilion left (chl) 22.79 (2.09) �38.10 (1.50) �4.59 (1.54) 23.65 (1.39) �37.87 (1.34) �5.38 (1.59)
Cheilion right (chr) �23.16 (2.54) �37.53 (0.85) �3.79 (1.59) �24.14 (1.38) �37.38 (1.64) �5.02 (1.28)
Pogonion (pg) �0.27 (0.54) �64.84 (1.96) 0.76 (2.68) �0.53 (0.39) �64.50 (1.45) 2.12 (2.41)
Table 6. Three-dimensional facial symmetry in monozygotic and dizygotic twins
Parameter
Monozygotic twins Dizygotic twins
p Value*N Median 25th perc. 75th perc. N Median 25th perc. 75th perc.
Av. dist. (mm) Males 18 0.69 0.60 0.82 22 0.71 0.57 0.90 0.849 (NS)
Females 20 0.59 0.46 0.72 14 0.60 0.57 0.76 0.462 (NS)
All 38 0.66 0.51 0.76 36 0.67 0.57 0.82 0.449 (NS)
Coincid. (%) Males 18 49.91 44.52 54.02 22 50.68 42.90 55.73 0.807 (NS)
Females 20 57.26 44.73 64.43 14 53.15 48.79 57.70 0.421 (NS)
All 38 52.23 44.86 61.34 36 52.00 43.17 55.83 0.634 (NS)
N, number of individuals; perc., percentile; Av. dist., average distance between the original and mirror faces of one twin; Coincid., thepercentage of coincidence between the original and mirror faces of one twin (within 0.5 mm of tolerance); NS, not statistically signifi-cant.*Mann–Whitney U test was performed.
12 | Orthod Craniofac Res 2012
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
role in identifying genetic variants responsible
for normal facial variations. It is believed that
three-dimensional imaging will be of great help
in the quest for further knowledge on genetic
and environmental determinants of facial fea-
tures.
Conclusions
From this study on three-dimensional facial
shape and symmetry of 15-year-old white Brit-
ish twins, the following conclusions can be
drawn:
1. Landmark-based and surface-based three-
dimensional facial analyses can reveal
within- and between-pair differences in facial
soft tissue shapes of MZ and DZ twins.
2. Genetic factors play an important role in
three-dimensional soft tissue shape and the
relative contribution of genetic and
environmental factors is not the same for
the upper, middle and lower facial thirds.
3. Zygosity does not seem to influence the
amount of three-dimensional symmetry of
facial soft tissues. Lower facial third is the
most asymmetrical part of the face in both
MZ and DZ twins.
Clinical relevance
The twin method has been extensively used in
orthodontics in the last few decades to investigate
the relative contribution of genetic and environ-
mental factors to the shape of the craniofacial
complex. Three-dimensional imaging systems
provide a possibility to obtain and analyse facial
soft tissue morphology non-invasively, accurately
and reliably. In this study, laser surface scanning
was used to compare facial shape and symmetry of
MZ and DZ twins. Suggested three-dimensional
facial analyses can reveal differences in facial mor-
phology, which has not been possible previously
using two-dimensional data. This can support fur-
ther research in craniofacial genetics.
Table 7. Three-dimensional symmetry by facial thirds in monozygotic and dizygotic twins
Twins N Parameter
Upper facial third Middle facial third Lower facial third
Median
25th
perc.
75th
perc. Median
25th
perc.
75th
perc. Median
25th
perc.
75th
perc. p Value†
MZ males 18 Av. dist. (mm) 0.52 0.43 0.66 0.57 0.50 0.77 1.00 0.86 1.37 <0.001
Coincid. (%) 58.28 49.70 67.75 53.36 45.18 58.96 29.71 19.57 34.40 <0.001
MZ females 20 Av. dist. (mm) 0.48 0.42 0.59 0.55 0.42 0.67 0.79 0.48 1.43 0.012
Coincid. (%) 62.58 55.76 70.57 56.19 46.76 64.37 38.87 15.40 59.20 0.003
MZ all 38 Av. dist. (mm) 0.49 0.42 0.64 0.56 0.48 0.71 0.94 0.63 1.36 <0.001
Coincid. (%) 60.88 51.73 69.22 54.16 46.80 61.98 31.04 18.89 46.66 <0.001
DZ males 22 Av. dist. (mm) 0.54 0.39 0.65 0.56 0.49 0.79 1.30 0.71 1.84 <0.001
Coincid. (%) 59.18 48.24 70.78 55.53 45.71 57.69 21.30 10.67 38.12 <0.001
DZ females 14 Av. dist. (mm) 0.47 0.40 0.59 0.68 0.48 0.83 0.82 0.48 1.29 0.026
Coincid. (%) 65.36 52.37 75.86 47.02 40.00 59.15 32.63 14.82 59.21 0.007
DZ all 36 Av. dist. (mm) 0.52 0.40 0.59 0.60 0.49 0.79 1.20 0.64 1.62 <0.001
Coincid. (%) 62.86 48.90 71.06 54.11 43.02 57.92 26.07 13.58 43.68 <0.001
N, number of individuals; perc., percentile; Av. dist., average distance between the original and mirror faces of one twin; Coincid., thepercentage of coincidence between the original and mirror faces of one twin (within 0.5 mm of tolerance).Figures in bold indicate facial third which was significantly different from the other two (Mann–Whitney U test was applied).NS, not statistically significant.†Kruskal-Wallis test was performed.
Orthod Craniofac Res 2012 | 13
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
Acknowledgements: We are extremely grateful to all
the families who took part in this study, the midwives
for their help in recruiting them and the whole ALSPAC
study team, which includes interviewers, computer and
laboratory technicians, clerical workers, research scien-
tists, volunteers, managers, receptionists and nurses.
The UK Medical Research Council, the Wellcome Trust
(Grant ref: 092731) and the University of Bristol provide
core support for ALSPAC.
References1. Emery AE, Mueller RF. Elements of
Medical Genetics. Edinburgh: Chur-
chill Livingstone; 1988.
2. http://www.genome.gov (accessed
on 26th February 2012)
3. Freimer N, Sabatti C. The human
phenome project. Nat Genet
2003;34:15–21.
4. Peng J, Deng H, Cao CF, Ishikawa
M. Craniofacial morphology in
Chinese female twins: a semi-longi-
tudinal cephalometric study. Eur J
Orthod 2005;27:556–61.
5. Carels C, Van Cauwenberghe N,
Savoye I, Willems G, Loos R, Derom
C et al. A quantitative genetic study
of cephalometric variables in twins.
Clin Orthod Res 2001;4:130–40.
6. Savoye I, Loos R, Carels C, Derom C,
Vlietinck R. A genetic study of ante-
roposterior and vertical facial pro-
portions using model-fitting. Angle
Orthod 1998;68:467–70.
7. Manfredi C, Martina R, Grossi GB,
Giuliani M. Heritability of 39 ortho-
dontic cephalometric parameters on
MZ, DZ twins and MN paired single-
tons. Am J Orthod Dentofacial Ort-
hop 1997;111:44–51.
8. Lobb WK. Craniofacial morphology
and occlusal variation in monozy-
gotic and dizygotic twins. Angle
Orthod 1987;57:219–33.
9. Lundstr€om A, McWilliam JS. A com-
parison of vertical and horizontal
variables with regard to heritability.
Eur J Orthod 1987;9:104–8.
10. Alkhudhairi TD, AlKofide EA. Cepha-
lometric craniofacial features in
Saudi parents and their offspring.
Angle Orthod 2010;80:1010–17.
11. Sherwood RJ, Duran DL, Demerath
EW, Czerwinski SA, Siervogel RM,
Towne B. Quantitative genetics of
modern human cranial variation.
J Hum Evol 2008;54:909–14.
12. Baydas� B, Erdem A, Yavuz I, Ceylan
I. Heritability of facial proportions
and soft-tissue profile characteristics
in Turkish Anatolian siblings. Am J
Orthod Dentofacial Orthop
2007;131:504–9.
13. Gelg€or IE, Karaman AI, Zekic� E. The
use of parental data to evaluate soft
tissues in an Anatolian Turkish
population according to Holdaway
soft tissue norms. Am J Orthod
Dentofacial Orthop 2006;129:330
e1–9.
14. Johannsdottir B, Thorarinsson F,
Thordarson A, Magnusson TE. Heri-
tability of craniofacial characteristics
between parents and offspring esti-
mated from lateral cephalograms.
Am J Orthod Dentofacial Orthop
2005;127:200–7.
15. Paternoster L, Zhurov AI, Toma AM,
Kemp JP, St Pourcain B, Timpson NJ
et al. Genome-wide association
study of three-dimensional facial
morphology identifies a variant in
PAX3 associated with nasion posi-
tion. Am J Hum Genet 2012;90:478–
85.
16. Kohn LAP. The role of genetics in
craniofacial morphology and growth.
Annu Rev Anthropol 1991;20:261–78.
17. Kau CH, Richmond S. Three-Dimen-
sional Imaging for Orthodontics and
Maxillofacial Surgery. Ames, IA:
Wiley Blackwell; 2010.
18. Kau CH, Richmond S, Incrapera A,
English J, Xia JJ. Three-dimensional
surface acquisition systems for the
study of facial morphology and their
application to maxillofacial surgery.
Int J Med Robotics Comput Assist
Surg 2007;3:97–110.
19. Burke PH. Intrapair facial differ-
ences in twins. Acta Genet Med Ge-
mellol 1989;38:37–47.
20. Burke PH, Healy MJR. A serial study
of normal facial asymmetry in
monozygotic twins. Ann Hum Biol
1993;20:527–34.
21. Naini FB, Moss JP. Three-dimen-
sional assessment of the relative
contribution of genetics and environ-
ment to various facial parameters
with the twin method. Am J Orthod
Dentofacial Orthop 2004;126:655–65.
22. Moss JP. The use of three-dimen-
sional imaging in orthodontics. Eur J
Orthod 2006;28:416–25.
23. Golding J, Pembrey M, Jones R, the
Alspac Study Team. ALSPAC – The
Avon Longitudinal Study of Parents
and Children. I. Study methodology.
Paediatr Perinat Epidemiol
2001;15:74–87.
24. Boyd A, Golding J, Macleod J, Lawlor
DA, Fraser A, Henderson J et al.
Cohort profile: the ‘children of the
90s’–the index offspring of the Avon
Longitudinal Study of Parents and
Children. Int J Epidemiol 16 Apr
2012; (epub ahead of print) doi:
10.1093/ije/dys064
25. Toma AM, Zhurov AI, Playle R,
Marshall D, Rosin PL, Richmond S.
The assessment of facial variation in
4747 British school children. Eur J
Orthod 2012;34:655–64.
26. Kau CH, Knox J, Zhurov AI, Rich-
mond S. The validity and reliability
of a portable 3-dimensional laser
scanner for field studies. In: Giuliani
R, Galliani E, editors. 7th European
Craniofacial Congress. Bologna:
Monduzzi Editore – International
Proceedings Division; 2004.
pp. 41–5.
27. Kau CH, Richmond S, Zhurov AI,
Bouwman S, Scheer R. Feasibility of
measuring 3D facial morphology in
children. Orthod Craniofac Res
2005;7:1–7.
28. Kau CH, Zhurov AI, Knox J, Chest-
nutt I, Hartles FR, Playle R et al.
Reliability of measuring facial
morphology using a 3-dimensional
laser scanning system. Am J
Orthod Dentofacial Orthop
2005;128:424–30.
29. Kau CH, Richmond S, Savio C,
Mallorie C. Measuring adult facial
morphology in three dimensions.
Angle Orthod 2006;76:773–8.
30. Kovacs L, Zimmermann A, Brock-
mann G, Baurecht H, Schwenzer-
Zimmerer K, Papadopulos NA. Accu-
racy and precision of the three-
dimensional assessment of the facial
surface using a 3-D laser scanner.
IEEE Trans Med Imaging 2006;25:
742–54.
14 | Orthod Craniofac Res 2012
Djordjevic et al. 3D analysis of facial shape and symmetry in twins
31. Kusnoto B, Evans CA. Reliability of
a 3D surface laser scanner for
orthodontic applications. Am J
Orthod Dentofacial Orthop
2002;122:342–8.
32. Zhurov AI, Kau CH, Richmond S.
Computer methods for measuring
3D facial morphology. In: Middleton J,
Shrive N, Jones M, editors. Proceed-
ings of the 6th International Sympo-
sium on Computer Methods in
Biomechanics & Biomedical Engi-
neering. Cardiff: First Numerics Ltd;
2005. (CD ROM, paper 151D).
33. Kau CH, Hartles FR, Knox J, Zhurov
AI, Richmond S. Natural head pos-
ture for measuring three-dimen-
sional soft tissue morphology. In:
Middleton J, Shrive N, Jones M,
editors. Proceedings of the 6th Inter-
national Symposium on Computer
Methods in Biomechanics & Biome-
dical Engineering. Cardiff: First
Numerics Ltd; 2005. (CD ROM,
paper 149D).
34. Kau CH, Hartles FR, Knox J, Zhurov
AI, Richmond S. Measuring facial
morphology in young subjects. In:
Middleton J, Shrive N, Jones M,
editors. Proceedings of the 6th Inter-
national Symposium on Computer
Methods in Biomechanics & Biome-
dical Engineering. Cardiff: First
Numerics Ltd; 2005. (CD ROM,
paper 150D).
35. Toma AM, Zhurov A, Playle R, Rich-
mond S. A three-dimensional look
for facial differences between males
and females in a British-Caucasian
sample aged 15 1/2 years old.
Orthod Craniofac Res 2008;11:180–5.
36. Farkas LG, editor. Anthropometry of
the Head and Face. New York: Raven
Press; 1994.
37. Bookstein FL. Morphometric Tools
for Landmark Data. Cambridge:
Cambridge University Press; 1991.
38. Zelditch ML, Swiderski DL, Sheets
HD, Fink WL. Geometric Morpho-
metrics for Biologists: A Primer. New
York: Elsevier academic press; 2004.
39. Djordjevic J, Pirttiniemi P, Harila V,
Heikkinen T, Toma AM, Zhurov AI
et al. Three-dimensional longitudi-
nal assessment of facial symmetry in
adolescents. Eur J Orthod 2011; Feb
7 (epub ahead of print) doi: 10.1093/
ejo/cjr006.
40. Djordjevic J, Toma AM, Zhurov AI,
Richmond S. Three-dimensional
quantification of facial symmetry in
adolescents using laser surface scan-
ning. Eur J Orthod 2011; Jul 27
(epub ahead of print) doi: 10.1093/
ejo/cjr091.
41. Toma AM, Zhurov A, Playle R, Ong
E, Richmond S. Reproducibility of
facial soft tissue landmarks on 3D
laser-scanned facial images. Orthod
Craniofac Res 2009;12:33–42.
42. Huang GJ, Richmond S, Vig KWL.
Evidence-Based Orthodontics. Ames,
IA: Wiley-Blackwell; 2011.
Orthod Craniofac Res 2012 | 15
Djordjevic et al. 3D analysis of facial shape and symmetry in twins