Xiaoyi He1,2, Hengcui Sun2, Yiting Guo2, Weiqiang Dou3, Dmytro Pylypenko3, Xinghua Xu1, Dexin Yu1, Qing Wang1, and Fang Wang1
1Department of Radiology, Qilu Hospital of Shandong University, Jinan, China, 2Department of Radiology, The Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China, 3MR Research, GE Healthcare, Beijing, China
Synopsis
Keywords: Pelvis, Normal development
This study aimed to investigate the correlation
between hiatus area and age in healthy
women. 552 female subjects, divided into four groups (young, young-middle,
middle, middle-elderly) based on age, were selected to underwent pelvic T2-weighted
MRI for measuring hiatus area. Age showed a positive correlation with hiatus
area. Also, statistically significant difference in hiatus areas was found
between any two groups, except for between young-middle and middle
group, and between middle and middle-elderly group. We thus proved that hiatus
area of healthy women increases with age, which might serve as a reference standard in clinic.
Background or Purpose
In clinic, the measurement of
levator ani hiatus area (hiatus area) is an important factor in evaluating the dysfunction
of female pelvic floor1. Patients with
diseases such as uterine, rectal prolapse and cystocele tend to increase the hiatus
area2.
Translabial ultrasound is one of
the most used methods for hiatus area measurement in the diagnosis of pelvic
floor dysfunction3,4. However, this
method is largely dependent on the operation and less repetitive5, limiting its
further application in clinic. As an alternative, MRI can provide image with
high resolution and fine tissue contrast. T2-weighted MRI (T2WI) has been
reported to clearly show the outline of pelvic organs, peritoneal fat and
levator anus muscle6. With this
advantage, we assumed that T2WI MRI might also hold potential in quantitative
analysis of the hiatus area of women. Previous studies1, 2 have shown that
female population and age increase are important risk factors for pelvic floor
dysfunction. However, further work regarding the measurement of hiatus area in
healthy women at different ages is still not explored.
Therefore, in this study, the
main goal was to investigate whether hiatus area was changed for women with
different ages with a large sample size employed.Methods
Subjects
The process of case inclusion and
age grouping was shown in Figure 1. All female participants were grouped with
age interval at every ten years7.
MRI Acquisition
All subjects were performed at GE
HDX TWINSP 3T MR in a supine position using an 8-channel external phased array
body coil placed in the center of the lower pelvis. No special preparation was
required for subjects. All subjects received 2D high-resolution fast-spin-echo
based pelvic T2WI examination in axial view. The scan parameters were of TR =
8390ms, TE = 112ms, matrix =512×512, FOV = 200mm×200mm, slice thickness =
3~5mm, spacing = 0.8mm. The total scan time was 15 mins.
Image analysis
The corresponding T2WI images of female
subjects were imported into IMPAX Volume Viewing 3D Viewing for analysis. Two
well-trained radiologists (AA, 8 years of seniority; BB, 1 years of seniority)
were employed independently to delineate and calculate the hiatus area.
In the axial T2WI image, a closed
curve was manually drawn along the medial border of the pubis and the medial
border of the levator ani muscle. The corresponding area measured was the
minimum hiatus area (Figure 2).
Data Analysis
GraphPad Prism software was used
for all statistical analyses. The intra-class correlation coefficient (ICC) was
used to evaluate the inter-observer agreement of the data measured by two
radiologists. ICC>0.75 means high consistency. All volunteers were tested
for normality (Kolmogorov-Smirnov test) and homogeneity of variances for age
and hiatus area. Pearson correlation analysis was used to analyze the
correlation between age and hiatus area with normal distribution and
homogeneous variance. Otherwise, Spearman correlation analysis was used. ANOVA followed by post-hoc analysis was used to assess
the differences of hiatus area with normal distribution and homogenous variance
in healthy subjects among four age groups. Otherwise, rank
sum test was applied. P<0.05 was considered statistical significance.Results
Excellent interobserver agreement
over two radiologists was
confirmed by obtained high ICC
value of 0.979.
The age of all subjects conformed
to a normal distribution with homogeneous variance, and the hiatus area did not
conform to a normal distribution. So, Spearman analysis was applied and showed
that age was positively correlated with the hiatus area (Figure 3, r =
0.29; p < 0.001).
The hiatus areas of female
subjects at different ages were: Group A (young, 13.74±3.48 cm2);
Group B (young-middle, 15.52±2.21 cm2); Group C (middle, 16.03±2.16 cm2),
and Group D (middle-elderly, 16.40±2.10 cm2). As shown in
Table 1 and Figure 4, with the rank sum test, statistically significant
difference in hiatus areas was found between any two groups (all p < 0.001), except for between young-middle aged and middle aged group (p = 0.3598), and between middle aged
and middle aged-elderly group (p=0.0856).Conclusions
This study investigated whether hiatus area has changed for women with different ages in a large sample
size. Our findings showed that subject age was positively correlated with
hiatus area. Moreover, statistically significant differences in hiatus areas were found among four groups with different ages. The reasons for these
results may include: (1) Rapid growth of the pelvic floor muscles and organs in
young women, which increases hiatus area; (2) It decreases the function of
pelvic floor supporting structure and occurs muscle atrophy that hormone level
of postmenopausal women decreases., and thus increases the hiatus area
relatively.
In conclusion, our study
demonstrated that for healthy women, the hiatus area increases with age. In addition, statistical
differences were found in the hiatus area among four age groups in women. Understanding
normal reference and changes in age-related
of hiatus area are helpful for the accurate diagnosis of pelvic floor
dysfunction.Table 1 Comparison of hiatus areas among four age groups (rank sum test).
Dunn's multiple comparison test | A vs. B | A vs. C | A vs. D | B vs. C | B vs. D | C vs. D |
Mean rank difference | -83.33 | -118.7 | -162.5 | -35.38 | -79.15 | -43.77 |
Adjusted p value | 0.0012 | <0.0001 | <0.0001 | 0.3598 | <0.0001 | 0.0856 |
Note: A/B/C/D, youth/young-middle/middle/middle-elderly.
Acknowledgements
XH was grateful to his mother Yu Lin and girlfriend Xiuxiu Su for their spiritual encouragement.References
1. Xuan, Y.;
Friedman, T.; Dietz, H. P., Does levator ani hiatal area configuration
affect pelvic organ prolapse? Ultrasound
in obstetrics & gynecology : the official journal of the International
Society of Ultrasound in Obstetrics and Gynecology 2019, 54 (1), 124-127.
2. Nandikanti, L.; Sammarco, A. G.; Kobernik, E. K.; DeLancey, J. O. L., Levator
ani defect severity and its association with enlarged hiatus size, levator
bowl depth, and prolapse size. American
journal of obstetrics and gynecology 2018,
218 (5), 537-539.
3. Speksnijder, L.; Oom, D. M.;
Koning, A. H.; Biesmeijer, C.
S.; Steegers, E. A.; Steensma, A. B., Agreement
and reliability of pelvic floor measurements during rest and on maximum
Valsalva maneuver using three-dimensional translabial ultrasound and virtual
reality imaging. Ultrasound in obstetrics
& gynecology : the official journal of the International Society of
Ultrasound in Obstetrics and Gynecology 2016, 48 (2), 243-9.
4. Dou, C.;
Li, Q.; Ying, T.; Yan, Y.;
Wang, X.; Hu, B., Determining "abnormal" levator hiatus
distensibility using three-dimensional transperineal ultrasound in Chinese
women. Frontiers of medicine 2018, 12 (5), 572-579.
5. Iacobellis, F.; Reginelli, A.; Berritto, D.;
Gagliardi, G.; Laporta, A.; Brillantino, A.; Renzi, A.;
Scaglione, M.; Masselli, G.; Barile, A.;
Romano, L.; Cappabianca, S.;
Grassi, R., Pelvic floor dysfunctions: how to image patients? Japanese journal of radiology 2020, 38 (1), 47-63.
6. Alt, C. D.;
Hampel, F.; Hallscheidt, P.; Sohn, C.;
Schlehe, B.; Brocker, K. A., 3 T MRI-based
measurements for the integrity of the female pelvic floor in 25 healthy
nulliparous women. Neurourology and
urodynamics 2016, 35 (2), 218-23.
7. Kono, T.; Kusano, T.; Sato, N.;
Yoshimoto, S.; Nakamura, S., Natural mastopexy repositioning based on
age-related mean breast shape. Asian
journal of surgery 2018, 41 (4), 295-300.