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Experimental and Therapeutic Medicine logoLink to Experimental and Therapeutic Medicine
. 2015 Feb 25;9(5):1991–1997. doi: 10.3892/etm.2015.2313

Exploration of orbital and orbital soft-tissue volume changes with gender and body parameters using magnetic resonance imaging

MUSTAFA FATIH ERKOÇ 1,, BILGE ÖZTOPRAK 2, CESUR GÜMÜŞ 2, AYLIN OKUR 1
PMCID: PMC4471806  PMID: 26136927

Abstract

The aim of the present study was to examine the total orbital volume (TOV) and total orbital fat volume (TOFV) in normal orbits in different age groups and to investigate the correlation of these measurements with age, gender and body parameters by magnetic resonance imaging (MRI). MRI data were acquired retrospectively from a total of 1,453 subjects divided into five age groups with 10-year intervals. The TOV and TOFV were measured using T1-weighted MRI for each subject and body parameters were also obtained. The measurements demonstrated that TOV increased with age and that the volume was larger in men than in women. While weight and height exhibited positive correlations with TOV in male and female subjects in the 20–29, 30–39 and 40–49-year-old age groups, only weight showed a positive correlation with TOV in female subjects in the 50–59 and 60–69-year-old age groups. However, TOFV increased by age in all groups and the increments were larger in women than in men. These results provide basic information about the effect of age, gender and body parameters on TOV and TOFV. The variations in TOV are associated with orbital soft-tissues changes rather than with TOFV.

Keywords: orbit, gender, body weight, body height, magnetic resonance imaging

Introduction

Since the volume of the orbit is a significant determinant of the facial appearance (1), and is influenced by many diseases and situations, understanding the volumetric values and changes with respect to body parameters and gender is likely to be of guidance in the resolution of serious clinical issues, such as when studying the mechanisms of exophthalmos in Graves' orbitopathy, planning orbital decompression, orbital reconstruction following fractures, determining the size of orbital implants following enucleation, or conducting esthetic procedures such as blepharoplasty. Previous studies have examined factors affecting the orbital or eyeball volume by computed tomography (CT) or magnetic resonance imaging (MRI) (24). Chau et al (4) reported that MRI provided more accurate results than CT in orbital and eyeball volume measurements. Ranly (5) observed that the orbital volume is proportional to eyeball volume since the orbit is associated with the growth of the bone and eyeball. Kahn et al (6) reported the change of orbital size with respect to age, but did not study orbital volumes. Previous studies have examined volumetric measurements of the orbit and their variability (79) with gender or body parameters; however, volumetric parameters were examined separately in these studies, and in a limited number of cases. The aim of the present study was to examine the total orbital volume (TOV) and total orbital fat volume (TOFV) together, and to investigate their correlation with clinical parameters, such as age, gender, height and weight, in a large group of patients in order to the determine the effect of these parameters on orbital appearance, as well as to identify racial differences in orbital volume.

Materials and methods

Subjects

Ethical approval for the present study was obtained from the Bozok Medical Faculty Ethics Committee (Yozgat, Turkey). Informed consent was obtained from each patient prior to their details being used in the current study. A retrospective review was undertaken in the radiology department. Subjects were selected from the patients who had been referred to the radiology departments of the Bozok and Cumhuriyet Universities (Yozgat and Sivas, Turkey, respectively) in the previous 3 years for orbital or maxillofacial evaluation. Thin-slice cranial magnetic resonance (MR) images of patients obtained for various reasons, such as frontal mass or vascular lesions, which did not directly affect the orbital structures, were also selected for orbital measurements. Patients with a history of previous surgery, trauma or infection of ocular, orbital or periorbital structures, and who had any refractive errors, heterotropia, mass lesions involving the maxilla or adjacent structures, and osteomyelitis of the maxilla, and patients with known thyroid-associated orbitopathy or hyperthyroidism were excluded to rule out the potential effects of these factors on measurements. A total of 1,453 Anatolian subjects with ages ranging from 20 to 69 years (705 males and 748 females) were selected and grouped into five age groups with 10-year intervals. Table I shows the range of ages and the mean ± standard deviation (SD) age for each group of patients.

Table I.

Mean ± standard deviation (SD) ages of the participants and the number of subjects in each group.

Male Female Male + female



Groups Age range, years n Age, years (mean ± SD) n Age, years (mean ± SD) n Age, years (mean ± SD)
Group I 20–29 162 27.8±1.1 175 24.8±3.3 337 26.3±2.9
Group II 30–39 151 36.5±3.3 168 32.1±2.1 319 34.3±3.0
Group III 40–49 149 45.2±3.9 166 43.8±5.1 315 44,5±4.6
Group IV 50–59 163 56.1±4.1 148 56.9±3.9 311 56.5±4.1
Group V 60–69 80 66.9±4.1 91 64.9±4.0 171 65.9±4.0
Total 20–69 705 46.5±13.8 748 44.5±13.4 1,453 45.5±13.5

Image acquisition

All MRI examinations were performed using a whole body 1.5-T unit (Magnetom Symphony; Siemens, Germany) with a 16-channel sensitivity encoding (SENSE) head coil. T1-weighted (T1W) axial, coronal and sagittal images were analyzed. T1W-turbo spin echo (TSE) images were obtained with the following parameters: repetition time (TR)/echo time (TE)/number of signal averages (NSA), 114 msec/3,810 msec/1; flip angle, 150°; matrix, 256×192; field of view (FOV), 17.8×17.4 cm; bandwidth, 130 kHz; echo train length, 13; and slice thickness, 3 mm.

Volumetry

For the determination of TOV in axial slices, the posterior boundary of the orbit was defined as the crossing line of the medial and lateral walls of the optic foramen. The anterior boundary of the orbit was defined as the line that connects the two end points of the front medial and lateral walls and which lies down the cornea (Fig. 1). The eyelids were included, since they are challenging to separate from the anterior boundary of the cornea and sclera. Following assignment of the region of interest (ROI) by two radiologists in consensus, and the area of the ROI multiplied by slice thickness, TOV was calculated by summing these volumes in each slice in T1W axial images.

Figure 1.

Figure 1.

Region of interest (ROI) used for calculating the total orbital volume (TOV) in a T1-weighted axial image.

Since the orbital cavity volume inside the bony orbit includes the eyeball, orbital muscles, optic nerve and orbital fatty tissues, when determining the TOFV, the eyeball, optic nerve, lacrimal gland and orbital muscle volumes were subtracted from the TOV, with the exception of the vasculature which is almost impossible to outline volumetrically; the difference was recorded as the TOFV. In order to do this, the volumes of the medial rectus muscle (MRM), inferior rectus muscle (IRM), lateral rectus muscle (LRM), superior rectus-levator palpebrae superioris muscle complex (SRM-LPSM) and superior oblique muscle (SOM) were measured in T1W coronal images by summing the cross-sectional areas in every section and multiplying by the image plane thickness. Inferior oblique muscle (IOM) and optic nerve (ON) volumes were calculated similarly on T1W sagittal images, as described by Detorakis et al (10,11) (Fig. 2).

Figure 2.

Figure 2.

Structures used to calculate the total orbital volume in T1-weighted (A) coronal and (B and C) sagittal images. IOM, inferior oblique muscle; IRM, inferior rectus muscle; LRM, lateral rectus muscle; MRM, medial rectus muscle; ON, optic nerve; SOM, superior oblique muscle; SRM-LPSM, superior rectus-levator palpebrae superioris muscle complex.

Statistical analysis

Clinical information (age, gender, height and weight) was obtained for each subject. Continuous variables were expressed as the mean ± SD. To investigate the effect of age and gender on the TOV and TOFV, two-way analysis of variance (ANOVA) was employed using SPSS software (version 15.0; SPSS, Inc., Chicago, IL, USA), in which age and gender (with two levels) were used as two independent variables. A multiple regression analysis was performed to determine the effect of the body parameters (height and weight) on the change in TOV and TOFV with respect to age and gender. P-values less than 0.05 were considered to be statistically significant.

Results

TOV

The mean TOV of all men was 32.21±1.55 cm3, and that of all women was 31.11±1.87 cm3 and the overall average for the study population was 31.66±1.91 cm3. The mean TOV of men was significantly greater than that of women (P<0.001), and the mean TOV of all subjects in group V was greater than that of all other groups (P<0.001), demonstrating that TOV increased with age (Table II). There was no significant difference between the right and left orbital volumes for either men or women. As shown in Table III and Fig. 3, there was an interactive effect between age and gender (P<0.01); as age increased, the TOV of men increased more rapidly than that of women.

Table II.

Average TOV and TOFV (in cm3) with respect to gender and age.

Male Female Male + female



Group TOV TOFV TOV TOFV TOV TOFV
Group I 29.99±1.47 9.83±1.32 29.13±1.74 10.34±1.73 29.56±1.47 10.08±1.64
Group II 31.33±1.88 10.65±1.45 29.17±1.65 11.24±1.35 30.25±1.28 10.94±1.26
Group III 31.99±1.28 11.46±1.74 31.33±1.88 12.22±1.40 31.66±1.35 11.84±1.59
Group IV 33.02±1.33 12.54±1.82 32.66±1.36 13.18±1.82 32.84±1.25 12.86±1.41
Group V 34.75±1.38 12.93±1.34 33.29±1.82 13.77±1.33 34.02±1.88 13.35±1.49
Total 32.21±1.55 11.48±1.81 31.11±1.87 12.15±1.66 31.66±1.91 11.81±1.88

TOV, total orbital volume; TOFV, total orbital fat volume.

Table III.

Results of TOV and TOFV analysis with ANOVA, using age and gender as independent variables.

Type III sum of squares Mean square F P-value




Source TOV TOFV d.f TOV TOFV TOV TOFV TOV TOFV
Corrected model 382.397 256.198 3 132.655 111.583 49.587 42.314   0.000   0.000
Age 165.765 132.161 1 135.478 132.161 58.563 50.858 <0.001 <0.001
Gender 184.008 129.810 1 152.145 129.810 69.532 61.545 <0.001 <0.001
Age × gender 23.667 21.667 1 23.667 21.667 13.666 11.213 <0.01 <0.01

TOV, total orbital volume; TOFV, total orbital fat volume; ANOVA, analysis of variance; d.f., degrees of freedom.

Figure 3.

Figure 3.

Interactive effect between age and gender on total orbital volume (TOV) and total orbital fat volume (TOFV).

TOFV

The mean TOFV was 11.48±1.81 cm3 for men, and 12.15±1.66 cm3 for women, the overall mean for the study population being 11.81±1.88 cm3. The mean TOFV of women was significantly greater than that of men (P<0.001). The mean TOFV of all subjects in group V was greater than that of the mean TOFV values of all other groups (P<0.001), which showed that TOFV also increased with age (Table II). There was no significant difference between the right and left orbital volumes for either gender. There was an interactive effect between age and gender (P<0.01); as age increased, the TOFV of women increased more rapidly than that of men (Table III and Fig. 3).

Correlations

While both weight and height showed a positive correlation with TOV in male and female subjects in groups I-III, only weight showed a positive correlation with TOV in the female subjects in groups IV and V. In all groups, TOFV showed a positive correlation with weight, but no significant correlation with height was observed. The effects of the body parameters (height and weight) on the changes in TOV and TOFV with respect to age and gender are shown in Tables IV and V.

Table IV.

Results of multiple regression analysis for TOV, using body parameters (height and weight) as independent variables.

Unstandardized coefficients

Age Predictors B SE Standardized coefficient β t P-value
Group I
  Male Constant 5.706 6.816 0.637 0.529
Height 0.057 0.055 2.411 1.027 0.003a
Weight 0.091 0.031 2.498 2.981 0.006a
  Female Constant 0.068 5.413 0.009 0.993
Height 0.061 0.049 2.385 2.173 0.005a
Weight 0.064 0.045 2.419 1.422 0.004a
Group II
  Male Constant 11.254 5.833 0.699 0.502
Height 0.081 0.049 2.481 1.311 0.048a
Weight 0.074 0.029 2.433 2.989 0.006a
  Female Constant 8.866 6.312 0.003 0.859
Height 8.303 0.039 2.311 2.215 0.004a
Weight 0.061 0.035 2.851 1.328 0.008a
Group III
  Male Constant 21.185 19.664 2.809 0.009
Height 0.098 0.089 2.307 1.738 0.008a
Weight 0.086 0.031 2.487 2.753 0.007a
  Female Constant 9.505 6.434 2.099 0.420
Height 0.006 0.041 2.021 0.141 0.004a
Weight 0.065 0.024 2.405 2.758 0.009a
Group IV
  Male Constant 26.214 22.545 2.211 0.569
Height -0.434 -0.387 -0.255 1.782 0.299
Weight 0.124 0.198 0.359 1.958 0.485
  Female Constant 6.426 8.102 2.013 0.682
Height 0.312 0.299 0.019 0.155 0.799
Weight 0.063 0.021 2.898 2.598 0.009a
Group V
  Male Constant 28.216 23.663 2.809 0.419
Height -0.155 0.098 -0.207 1.738 0.313
Weight 0.148 0.131 0.487 1.753 0.411
  Female Constant 9.505 6.434 2.099 0.630
Height 0.214 0.141 0.021 0.141 0.711
Weight 0.065 0.024 2.316 2.758 0.009a
a

P<0.01. TOV, total orbital volume; SE, standard error.

Table V.

Results of multiple regression analysis for TOFV, using body parameters (height and weight) as independent variables.

Unstandardized coefficients

Age Predictors B SE Standardized coefficient β t P-value
Group I
  Male Constant 11.214 9.213 0.582 0.503
Height 0.051 0.056 2.864 1.386 0.697
Weight 0.082 0.038 2.194 2.107 0.006a
  Female Constant 0.044 4.832 0.089 0.993
Height 0.037 0.041 2.657 2.547 0.857
Weight 0.048 0.039 2.189 1.875 0.004a
Group II
  Male Constant 18.315 16.212 1.341 0.614
Height 0.068 0.086 1.954 1.378 0.313
Weight 0.041 0.034 2.965 2.656 0.006a
  Female Constant 10.265 8.205 3.012 0.391
Height 0.006 0.061 2.861 0.398 0.424
Weight 0.090 0.021 2.613 2.265 0.008a
Group III
  Male Constant 21.315 18.542 2.341 0.216
Height 0.072 0.078 1.832 1.378 0.548
Weight 0.039 0.038 2.818 2.656 0.007a
  Female Constant 12.365 9.268 3.012 0.256
Height 0.058 0.069 2.317 0.398 0.854
Weight 0.099 0.019 2.326 2.265 0.009a
Group IV
  Male Constant 22.498 20.128 2.785 0.212
Height 0.098 0.066 1.919 1.585 0.366
Weight 0.049 0.031 2.625 1.965 0.006a
  Female Constant 13.294 10.025 3.444 0.125
Height 0.098 0.081 0.825 0.325 0.568
Weight 0.065 0.023 2.448 2.265 0.004a
Group V
  Male Constant 23.214 22.838 2.425 0.554
Height 0.001 0.098 0.189 1.284 0.197
Weight 0.148 0.0184 0.397 1.697 0.005a
  Female Constant 17.212 11.232 2.536 0.265
Height 0.291 0.182 0.029 0.261 0.265
Weight 0.086 0.018 1.093 2.256 0.009a
a

P<0.01. TOFV, total orbital fat volume; SE, standard error.

Statistical analysis of the results confirms that as age increases TOV and TOFV also increase; however, the correlation of these volumetric parameters was not found to be statistically significant (Pearson's bivariate correlation coefficient, 0.58, P=0.02).

Discussion

This study evaluated orbital volumetric parameters and the correlation of these measurements with age, gender and body parameters (height and weight) in a group of 1,453 subjects with exclusion of any previous orbital disease history, using MRI, and is one of the largest series in the literature. The high number of patients may be attributable to the high number of patients with multiple sclerosis in this region of the country, who frequently present with visual symptoms and undergo MRI for them. The orbit is a limited anatomical structure filled with eyeball, non-compressible fluid and orbital cavity soft tissues. Atchison et al and Chau et al (3,4) reported that MRI provided more accurate results than CT in orbital and eyeball volume measurements and that the average orbital volume was 20.9 cm3 in an Asian population, and Forbes et al (12) identified an upper limit of 30.1 cm3 for normal bony orbit in Western individuals. These values are smaller than those in the present study since they were obtained only from the bony orbit, and did not include anterior soft tissues of the orbit. A study carried out in the United States using CT, which also included all of the soft tissues around the eye showed similar volumetric values as the present study, which suggests that the size of the orbits in the Anatolian population resemble those of Western individuals, in contrast to those of the Far Eastern world (13).

In the literature, the average orbital volumetric changes with respect to gender are controversial. Certain studies found larger orbital volumes in men than women (3,14), while another (12) found no statistically significant difference. In the present study, it was observed that the average TOV was larger in men than in women. This result may be attributed to the fact that the axial skeleton is greater in size in men than in women, which would affect the bony orbit as well. It has been reported that orbital size correlates well with the bone size of the whole body skeleton as a result of the growth pattern, and also with skull length (3,5), which may explain the difference between genders. There was also an interactive effect between age and gender: As age increased, the TOV of men increased more rapidly than that of women. Since the bony elements decrease with age in the whole body (15), the finding that decrements in orbital angles and the volume of the bony orbit also occur with age, in a similar manner to those in the axial skeleton (16,17) is not surprising. However, considering the results of the present study, the total volume loss of the orbital structures appears to be less than that of the bony orbital volume, which may be due to replacement of the lost volume with adipose tissue.

Regarding the changes in TOV with respect to the body parameters, positive correlations were observed with both weight and height in male and female subjects in group I-II. As orbital volume has an association with bony elements, Shaw et al (17) pointed out that orbital bony changes are similar to those of the axial skeleton. Kirchengast et al (18) suggested that a lower weight status and a low amount of lean body mass may be associated with increased bone loss, and Gracia-Marco et al (19) showed that adolescents with a low level of fitness had a lower bone mineral content. Therefore, it can be concluded that the orbital volume has a positive correlation with weight as well as height. However, in the present study, only weight showed a positive correlation with TOV in female subjects older than 50 years of age. Kirchengast et al (18) suggested that the absolute fat mass had a significant impact on bone mineral density in females, due to the diminished conversion rates from androgens to estrogens in a low amount of adipose tissue. Since high amounts of fat tissue are particularly present in elderly women, this can explain our results. However, further studies based on physiological and biological analysis are required to clarify this issue.

TOFV is an important indicator of eye movements, eyelid configuration and function. It is known that loss of TOFV due to any cause causes eyelid retraction or proptosis that requires reconstruction to restore functional anatomy and aesthetic facial appearance, and in several studies (20,21) orbital fat volume augmentation is discussed. In the present study, the average TOFV of women was significantly greater than that of men. Additionally, the average TOFV increased as age increased. This is in contrast with the speculation of Ahmadi et al (22) that the orbital adipocytes undergo atrophy with advancing age. The significant correlation of age with TOFV may be attributable to a relative reduction in muscular bulk and volume of the globe itself with increasing age (23,24). In addition, Darcy et al (25) observed an increase in total orbital fat and periocular soft tissue with aging, which they claimed was due to fat expansion, which is consistent with the results of the present study, and which may be the rationale for fat excision from the eyelids in plastic and aesthetic surgery. Although the present study revealed an increase in TOFV and TOV with respect to age, there was no statistically significant correlation between the changes in TOFV and TOV, which should be further investigated. There was a positive interactive effect with age and gender regarding TOFV, showing that as age increased the TOFV of women increased more rapidly than that of men. In contrast to some studies (26,27), TOFV showed a positive correlation with weight in the present study. It is suggested that with increment of weight, as the distribution of fatty tissues varies in the body, this also affects the TOFV values. When age is considered, following hormonal changes in the postmenopausal period, the abnormal increase of fatty tissues in women may explain the results of the present study. Further studies based on body mass index are required to support this hypothesis. Another limitation of this study is that it was carried out in a certain limited population, despite its large size, and, therefore, may not be valid in various parts of the world, such as eastern Asia.

To conclude, the study findings provide basic information about orbital volume changes due to gender and body parameters and may aid in clinical practice, such as when studying the mechanisms of exophthalmos in Graves' orbitopathy, planning orbital decompression or orbital reconstruction following fractures, or the size of orbital implants following enucleation, blepharoplasty and other esthetic procedures involving eyelids and retroorbital fatty tissue. In addition, knowing the normal size and proportions of the contents of the orbit may help diagnosing unilateral ophthalmopathy.

Acknowledgements

Main topics of this study have been accepted for oral presentation, and were presented at ECR 2014, Vienna, Austria with presentation No. B-0171.

References

  • 1.Quatrehomme G, Gérard S. Classical noncomputer-assisted craniofacial reconstruction. In: Clement JG, Marks MK, editors. Computer-Graphic Facial Reconstruction. Elsevier; Burlington, MA: 2005. pp. 15–32. [Google Scholar]
  • 2.Bentley RP, Sgouros S, Natarajan K, et al. Normal changes in orbital volume during childhood. J Neurosurg. 2002;96:742–746. doi: 10.3171/jns.2002.96.4.0742. [DOI] [PubMed] [Google Scholar]
  • 3.Atchison DA, Jones CE, Schmid KL, et al. Eye shape in emmetropia and myopia. Invest Ophthalmol Vis Sci. 2004;45:3380–3386. doi: 10.1167/iovs.04-0292. [DOI] [PubMed] [Google Scholar]
  • 4.Chau A, Fung K, Yap M. Evaluation of the accuracy of volume determination on the orbit and eyeball using MRI. Radiography. 2005;11:35–39. doi: 10.1016/j.radi.2004.10.004. [DOI] [Google Scholar]
  • 5.Ranly DM. Craniofacial growth. Dent Clin North Am. 2000;44:457–470. [PubMed] [Google Scholar]
  • 6.Kahn DM, Shaw RB., Jr Aging of the bony orbit: A three-dimensional computed tomographic study. Aesthet Surg J. 2008;28:258–264. doi: 10.1016/j.asj.2008.02.007. [DOI] [PubMed] [Google Scholar]
  • 7.Kim SP, Lee BY, Lee SJ, et al. A study on orbital volume of Korean people in their 20s or 40s. Ophthalmic Res. 2012;47:98–102. doi: 10.1159/000329572. [DOI] [PubMed] [Google Scholar]
  • 8.Detorakis ET, Drakonaki E, Papadaki E, Pallikaris IG, Tsilimbaris MK. Effective orbital volume and eyeball position: An MRI study. Orbit. 2010;29:244–249. doi: 10.3109/01676831003664319. [DOI] [PubMed] [Google Scholar]
  • 9.Darcy SJ, Hakimi M, Miller TA, Goldberg RA, Evans GR, Demer JL, Rudkin GH. Magnetic resonance imaging characterization of orbital soft-tissue volume dynamics with age. Plast Reconstr Surg. 2009;124:1362–1364. doi: 10.1097/PRS.0b013e3181b5a463. [DOI] [PubMed] [Google Scholar]
  • 10.Detorakis ET, Engstrom RE, Straatsma BR, Demer JL. Functional anatomy of the anophthalmic socket: Insights from magnetic resonance imaging. Invest Ophthalmol Vis Sci. 2003;44:4307–4313. doi: 10.1167/iovs.03-0171. [DOI] [PubMed] [Google Scholar]
  • 11.Detorakis ET, Drakonaki EE, Papadaki E, Tsilimbaris MK, Pallikaris IG. Evaluation of globe position within the orbit: Clinical and imaging correlations. Br J Ophthalmol. 2010;94:135–136. doi: 10.1136/bjo.2008.150532. [DOI] [PubMed] [Google Scholar]
  • 12.Forbes G, Gehring DG, Gorman CA, Brennan MD, Jackson IT. Volume measurements of normal orbital structures by computed tomographic analysis. AJR Am J Roentgenol. 1985;145:149–154. doi: 10.2214/ajr.145.1.149. [DOI] [PubMed] [Google Scholar]
  • 13.Özkan AY, Karmonik C, Chaudhry IA, Arat A, Totan S, Yüksel E. Measurement of eyelid and orbital fat volume in different age groups by computed tomography. Turkiye Klinikleri J Med Sci. 2010;30:995–1001. doi: 10.5336/medsci.2008-10056. [DOI] [Google Scholar]
  • 14.Furuta M. Measurement of orbital volume by computed tomography: Especially on the growth of the orbit. Jpn J Ophthalmol. 2001;45:600–606. doi: 10.1016/S0021-5155(00)00372-5. [DOI] [PubMed] [Google Scholar]
  • 15.Shaw RB, Jr, Kahn DM. Aging of the midface bony elements: A three-dimensional computed tomographic study. Plast Reconstr Surg. 2007;119:675–683. doi: 10.1097/01.prs.0000246596.79795.a8. [DOI] [PubMed] [Google Scholar]
  • 16.Richard MJ, Morris C, Deen BF, Gray L, Woodward JA. Analysis of the anatomic changes of the aging facial skeleton using computer-assisted tomography. Ophthal Plast Reconstr Surg. 2009;25:382–386. doi: 10.1097/IOP.0b013e3181b2f766. [DOI] [PubMed] [Google Scholar]
  • 17.Shaw RB, Jr, Katzel EB, Koltz PF, Kahn DM, Puzas EJ, Langstein HN. Facial bone density: Effects of aging and impact on facial rejuvenation. Aesthet Surg J. 2012;32:937–942. doi: 10.1177/1090820X12462865. [DOI] [PubMed] [Google Scholar]
  • 18.Kirchengast S, Peterson B, Hauser G, Knogler W. Body composition characteristics are associated with the bone density of the proximal femur end in middle- and old-aged women and men. Maturitas. 2001;39:133–145. doi: 10.1016/S0378-5122(01)00205-5. [DOI] [PubMed] [Google Scholar]
  • 19.Gracia-Marco L, Vicente-Rodríguez G, Casajús JA, Molnar D, Castillo MJ, Moreno LA. Effect of fitness and physical activity on bone mass in adolescents: The HELENA Study. Eur J Appl Physiol. 2011;111:2671–2680. doi: 10.1007/s00421-011-1897-0. [DOI] [PubMed] [Google Scholar]
  • 20.Lee JY, Lee KH, Shin HM, Chung KH, Kim GI, Lew H. Orbital volume augmentation after injection of human orbital adipose-derived stem cells in rabbits. Invest Ophthalmol Vis Sci. 2013;54:2410–2416. doi: 10.1167/iovs.12-11210. [DOI] [PubMed] [Google Scholar]
  • 21.Park J, Cho HK, Moon JI. Changes to upper eyelid orbital fat from use of topical bimatoprost, travoprost, and latanoprost. Jpn J Ophthalmol. 2011;55:22–27. doi: 10.1007/s10384-010-0904-z. [DOI] [PubMed] [Google Scholar]
  • 22.Ahmadi H, Shams PN, Davies NP, Joshi N, Kelly MH. Age-related changes in the normal sagittal relationship between globe and orbit. J Plast Reconstr Aesthet Surg. 2007;60:246–250. doi: 10.1016/j.bjps.2006.07.001. [DOI] [PubMed] [Google Scholar]
  • 23.Hahn FJ, Chu WK. Ocular volume measured by CT scans. Neuroradiology. 1984;26:419–420. doi: 10.1007/BF00342674. [DOI] [PubMed] [Google Scholar]
  • 24.Smith P. On the size of the cornea in relation to age, sex, refraction and primary glaucoma. Trans Ophthalmol Soc UK. 10:68–78. 18p0. [Google Scholar]
  • 25.Darcy SJ, Miller TA, Goldberg RA, Villablanca JP, Demer JL, Rudkin GH. Magnetic resonance imaging characterization of orbital changes with age and associated contributions to lower eyelid prominence. Plast Reconstr Surg. 2008;122:921–931. doi: 10.1097/PRS.0b013e3181811ce8. [DOI] [PubMed] [Google Scholar]
  • 26.Castanares S. Blepharoplasty for herniated intraorbital fat; anatomical basis for a new approach. Plast Reconstr Surg (1946) 1951;8:46–58. doi: 10.1097/00006534-195107000-00003. [DOI] [PubMed] [Google Scholar]
  • 27.Sires BS, Lemke BN, Dortzbach RK, Gonnering RS. Characterization of human orbital fat and connective tissue. Ophthal Plast Reconstr Surg. 1998;14:403–414. doi: 10.1097/00002341-199811000-00004. [DOI] [PubMed] [Google Scholar]

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