Intro
Polycystic ovary syndrome (PCOS) is an endocrine
and metabolic disorder that affects most women of
reproductive age, and the alarming prevalence rate
among teenagers (97.83 per 100,000) is also concerning ( 1 ). This syndrome is frequently associated with
conditions such as diabetes, cardiovascular diseases,
and metabolic disorders ( 2 ). Clinical manifestations of
this disease are characterized by menstrual disorders
(oligo/amenorrhea), hyperandrogenism, infertility, and hormones-related disorders. Also, ultrasound imaging,
a non-time-consuming and inexpensive method, is effective in diagnosing this syndrome ( 3 ). Its diagnostic
criteria on the basis of the Rotterdam criteria include
the presence of ≥12 follicles with a size of 2 to 9 mm
in at least one ovary volume is more than 10 cm3, in at
least one ovary ( 4 ).
Recently, an important role of ovarian morphology in
the diagnostic criteria of the syndrome has been emphasized more ( 5 ). In women with the ovaries which have
PCO morphology, various folliculogenesis physiological
processes are disturbed that may lead to different patterns
of follicular distribution ( 3 , 6 ). There is still much debate
about how best to determine the ovaries' appearance in
PCOS ( 7 ). While the number of follicles is used to define
this syndrome, the follicular distribution pattern (FDP) in
the ovarian stroma is less discussed ( 3 ). The two classifications based on the distribution of antral follicles are
defined, the classic pattern of a string of pearls is called
as peripheral cystic pattern (PCP) and the second category
is known as a general cystic pattern (GCP) in which the
follicles are existed in the entire parenchyma of the ovary
( 3 ). First of all, Takahashi et al. ( 8 ), reported that serum
androstenedione levels and the luteinizing hormone (LH)/
follicle stimulating hormone (FSH) ratio in women with
PCP were remarkably higher than those with GCP ovaries. This finding indicated an endocrine disorder in patients with ovaries or a peripheral scattering pattern ( 3 ).
Furthermore, a positive connection between the number
of follicles, ovarian volume, stromal characteristics, and
insulin resistance markers has been reported ( 6 ). Recent
ly, Mills et al. ( 3 ) concluded that menstrual irregularities
and specific serum steroid levels are directly associated
with ovarian morphology. It remains uncertain whether
ovarian morphology, testosterone levels, or LH levels directly cause menstrual disorders or if these factors are coregulated by an underlying mechanism that contributes to
both hormonal imbalances and menstrual irregularities. A
limited number of studies ( 3 , 6 , 8 , 9 ) have investigated the
different pattern of follicular distribution in the ovaries of
PCOS patients and its relationship with the prevalence of
infertility and the level of sex hormones and metabolic
disorders, therefore this subject has attracted a great deal
of attention.
Given the high prevalence of infertility and the use of
assisted reproductive technology (ART) in women with
PCOS, examining the different follicular distribution pat
terns in the ovaries of patients undergoing ART cycles
could be valuable. It may help predict the optimal ovarian
response to treatment and enable personalized counseling
for these patients.
Therefore, this study was designed to evaluate the relationship of the FDP in the ovaries and the ovarian response in different treatment plans, including in vitro
fertilization (IVF) and intracytoplasmic sperm injection
(ICSI), as well as the level of sex hormones and clinical
manifestations in patients with PCOS diagnosis.
Results
Of the 157 patients affected by PCOS who evaluated
in our hospital during the study period, 73 patients were
classified in the PCP ovaries group and 84 patients in the
GCP ovaries group. The baseline characteristics of patients were compared between two groups ( Table 1 ). There
was no significant difference in age and body mass index
between these two groups. A significant relationship was
observed between the FDP and the baseline serum levels
of LH, AMH, total testosterone, and 17-OHP. The mean
levels of LH, AMH, total testosterone, and 17-OHP were
significantly higher in the PCP group compared to the
GCP group (P=0.022, P=0.023, PP<0.001, and P=0.028,
respectively). No statistically significant difference was
found between the two groups regarding the serum level
of DHEAS.
Baseline characteristics of PCOS patients stratified by the ovarian morphology pattern
Values are presented as the mean ± standard deviation (SD) and number (%). *; Obtained
by independent t test and chi square test. Significant level was considered at P<0.05. LH;
Luteinizing hormone, PCOS; Polycystic ovary syndrome, PCP; Peripheral cystic pattern,
GCP; General cystic pattern, AMH; Müllerian hormone, DHEA-S; Dehydroepiandroster
one sulphate, and 17-OHP; 17-Hydroxyprogesterone.
No statistically remarkable difference was observed be
tween the two groups in terms of clinical manifestations
such as oligomenorrhea diagnosis as well as the presence
of acne and alopecia. However, a significant association
was found between the presence of hirsutism and follicular distribution pattern. So that the frequency of cases with hirsutism in the PCP group was significantly higher
than the GCP group (P=0.011, Table 1 ).
The ovarian stimulation outcomes were compared be
tween groups in Table 2. Statistical analysis showed that
the number of retrieved oocytes and the percentage of
OHSS at risk cases in the PCP group were significant
ly higher than those of in the GCP group (P=0.036 and
P=0.013, respectively). However, no statistically significant difference was observed regarding the oocyte quality
(total number of MII oocytes) between groups. In addition, the number of germinal vesicles and MI oocytes was
similar between groups.
Ovarian stimulation cycle outcomes stratified by the ovarian morphology pattern
*; Values are presented as the mean ± standard deviation (SD) and number (%). Obtained
by independent t test and chi square test. Significant level was considered at P<0.05. MII;
Metaphase II, GV; Germinal vesicle, OHSS; Ovarian hyperstimulation syndrome, PCP;
Peripheral cystic pattern, and GCP; General cystic pattern.
Discussion
The main objective of the present study was to as
sess whether the FDP in PCOM ovaries of infertile
women diagnosed with PCOS can be useful in predicting the total number of retrieved, MII oocytes,
as well as the risk of OHSS. From a clinical point
of view, it is important to understand how different
PCOM morphologies are related to the severity of
the disease itself. The results of the present study in
dicated that some signs of disease severity such as
high serum levels of LH, AMH, total testosterone and
17-OHP were significantly related to PCP follicular
distribution pattern. In the follow-up of patients after
COS, it was found that the PCP follicular pattern was
associated with an increase in the number of retrieved
oocytes and the risk of OHSS; however, the quality
of the obtained oocytes was not related to the type of
follicular distribution pattern.
In similar way, Mills et al. ( 3 ) in a retrospective
study reported that the PCP follicular distribution was
more strongly associated with menstrual irregulari
ties and high levels of serum LH and total and free
testosterone. These findings approved the results of
the previous studies demonstrating a relationship be
tween FDP and hyperandrogenism, supporting the hypothesis that PCP and GCP ovarian morphologies may
exhibit differences in their endocrine and pathophysiological mechanisms. The occurrence of PCP ovarian
morphologies is thought to result from a stromal core
characterized by heightened density and increased
vascular blood flow, which may influence the peripheral development of ovarian follicles. Prior research
has indicated that stromal density and vascular flow
are predictive of the severity of PCOS, as they correlate with levels of ovarian hyperandrogenism ( 3 ,
8 , 14 ). Conversely, GCP ovaries do not demonstrate
elevated the stromal density and are likely to induce
a lesser degree of androgenic disturbance in affected
individuals ( 3 ).
The current study demonstrated no significant relation
ship between menstrual irregularity and either unilateral
or bilateral PCP or GCP. This finding contrasts with Mills
and colleagues’ research, which indicated that women
with unilateral PCP follicular development patterns were
more prone to experience menstrual irregularities compared to those with bilateral GCP ( 3 ). The discrepancy
may be due to the use of oral contraceptive pills prior to
the onset of the menstrual cycle. Furthermore, a more
precise classification of each ovary regarding follicular
development patterns (PCP or GCP) could have facilitated a better understanding of the relationship between
cycle irregularities and ovarian morphology.
In contrast to the present findings, Christ et al. ( 6 ) conducted a cross-sectional observational study involving
49 women with PCOS. They concluded that there was
no significant relationship between the FDP and any reproduction or metabolic markers associated with PCOS.
Several factors may explain this discrepancy. Firstly, the
study population in Christ et al.'s ( 6 ) study differs from
that in the current study. In our study, the participants
were infertile PCOS women undergoing in vitro maturation (IVM) or IVF/ICSI cycles, whereas Christ et al.
( 6 ) selected patients based on the National Institutes of
Health (NIH) diagnostic criteria. Additionally, evidence
of hyperandrogenism was used as an inclusion criterion
in their study. Secondly, the sample size in Christ et al.'s
( 6 ) study was considerably smaller than in the present
study.
In a study by Alviggi et al. ( 9 ), the ovarian ultrasono
graphic characteristics of women with PCOS and insulin
resistance were compared to those with a hyperandro
genic profile. The study identified two distinct ovarian
patterns: group A, characterized by follicles primarily
measuring between 5 and 9 mm with a prominent "neck
lace" sign, and group B, where the follicles were smaller
(2-4 mm) and more evenly distributed, with no "neck
lace" sign. The researchers suggested that insulin resist
ance might be linked to specific ovarian morphology
patterns, especially the pattern seen in group A, where
insulin resistance was associated with lower BMI, waist
to-hip ratio, and HOMA compared to those in group B
( 9 ). However, our findings differ from Alviggi et al.'s
( 9 ) study. In our study, PCOS patients with the classic
"necklace" sign in their ovaries, resembling the morphology of group A, were associated with more severe
PCOS symptoms, including menstrual disorders and abnormal hormone levels. As Alviggi et al. ( 9 ) proposed,
insulin resistance may alter ovarian morphology, but
we did not investigate insulin resistance markers in this future research. This would provide further insight into
how insulin resistance and ovarian morphology may in
teract in PCOS, especially considering the differences
observed between group A and group B of Alviggi et al.
( 9 ) study.
The strengths of the present study include its prospective design, with all sonographic evaluations and laboratory tests conducted by a dedicated team of specialists.
However, a limitation of our study was the absence of
a control group of PCOS patients with normal ovarian
morphology. Additionally, we did not investigate insulin resistance markers or lipid metabolism, which could
have provided valuable insights into the metabolic as
pects of PCOS and helped explain the findings related to
ovarian stimulation outcomes. The varying sizes of the
observed follicles were consistent with the number of
recruitable follicles, reflecting the degree of metabolic
dysfunction in PCOS and the potential risk of OHSS.
Future research should consider categorizing antral fol
licle counts into distinct groups to further refine our understanding of these relationships.
Conclusions
The current study found that PCP follicular distribu
tion was associated with clinical manifestations, including hyperandrogenism, as well as elevated levels of LH
and AMH in women with PCOS. Additionally, in COS
cycles, both the number of retrieved oocytes and the risk
of OHSS were significantly higher in patients with this
specific ovarian morphology. These findings suggest that
conducting more detailed studies to identify distinguishing factors among individuals with PCOS could aid in
the development of personalized treatment strategies and
provide more accurate predictions of treatment response.
Materials Methods
This prospective cohort study was carried out at the infertility center of Arash Women’s Hospital (a university
affiliated infertility center in Tehran, Iran) from March
2022 to September 2023. The scientific board and the ethics committees of the Tehran University of Medical Sciences was approved the study protocol (IR.TUMS.MEDI
CINE.REC.1402.209). Eligible patients provided written
informed consent to participate in the study.
All women with PCOS diagnosis who were referred for
IVF and/or ICSI treatment cycles due to several ovulation induction failures and/or intrauterine insemination
(IUI) cycles were screened. The exclusion criteria were
as follows: history of clinical or biochemical signs of thy
roid disorders, hyperprolactinemia, Müllerian anomalies,
history of hypothalamic pituitary dysfunction or ovarian
failure, ovarian and adrenal androgen-secreting tumors
and congenital adrenal hyperplasia, presence of function
al cyst >3 cm in initial ultrasound assessment of pelvic,
endometriosis diagnosis, history of unilateral oophorectomy, abnormal karyotype of women or her husband, recurrent implantation failures and repeated pregnancy loss,
severe male infertility factor (azoospermia). The PCOS
diagnosis was defined according to the Rotterdam criteria
( 4 ). Definitions of menstrual disorders and hyperandrogenism, along with the Ferriman-Gallwey scoring system
for hirsutism, are outlined in previous publications ( 10 ,
11 ). The presence of 12 or more ovarian cysts with 2-9
mm diameter per ovary and/or ovarian volume ≥10 cm 3
was defined as polycystic ovary morphology (PCOM)
( 12 ). Menstrual regularity was detected by asking the patient regarding the duration of most menstrual cycles at
the first visit in the fertility clinic. Oligomenorrhea was
defined as infrequent menstrual cycles occurring more
than 35 days apart or <8 cycles per year ( 12 ).
Vaginal ultrasound was done on day 2-5 of a spontaneous or progestin induced menstrual cycle. Follicle count
and distribution was evaluated by two expert gynecologists using a Philips Affiniti 70w with a trans-vaginal
3.5-10 MHz probe (USA) and images were classified into
two groups based on ovarian morphology ( 3 ), including:
i. PCP: 12 or more follicles distributed around a dense
stromal core peripherally for at least 50% of the ovarian
diameter, ii. GCP: 12 or more follicles located throughout
the ovary and not more than 49% in a peripheral distribution. Each specialist was blinded to the diagnoses made
by the others. If there was a discrepancy between the two
specialists’ diagnoses, a third radiologist was consulted
to make the final decision. The final diagnosis was based
on the agreement between two out of the three special
ists, ensuring consensus. No other guidelines or criteria,
beyond the specialists’ diagnoses, were used to determine
the final decision.
In the current investigation, the study sample consisted
of patients with identical morphology in both ovaries.
This implies that both ovaries exhibited either PCP or
GCP morphology.
Baseline serum levels of follicle-stimulating hormone
(FSH), LH, anti-Mullerian hormone (AMH), total testos
terone, dehydroepiandrosterone sulfate (DHEAS), and
17-Hydroxyprogesterone (17-OHP) were determined
from venous blood samples collected from each participant on the second or third day of their menstrual cycle.
The concentrations of FSH, LH, total testosterone, DHE
AS, and 17-OHP were quantified using Electrochemilumi
nescence Immunoassay (ECLIA) with a fully automated
Immulite 20000 analyzer (SIEMENS, Germany) and the
following commercial kits: FSH Kit (103249, SIEMENS,
Germany); LH Kit (103248, SIEMENS, Germany); To
tal Testosterone Kit (103244, SIEMENS, Germany);
DHEAS Kit (103253, SIEMENS, Germany) and 17-OHP
Kit (103252, SIEMENS, Germany). The measurement of
AMH concentration was performed using a commercial
enzyme-linked immunosorbent assay (ELISA) kit (Di
aZist, Iran), which demonstrated inter- and intra-assay
coefficient of variations (CVs) of less than 5%.
All the studied population of our participants received
the same controlled ovarian stimulation (COS) ( 13 ). Ovar
ian quiescence was defined by the observation of ovarian
suppression. Serum estradiol (E2) levels were measured
and found to be below 50 pg/mL. This was determined
through baseline ultrasounds and hormonal assessments.
These assessments were conducted on the second or third
day of the menstrual cycle. Following this evaluation, a
starting dose of 150 IU of recombinant human FSH (Cinnal-f, Cinagen, Iran) was administered daily for a duration
of five days. The serial vaginal ultrasound assessments
were carried out for follicles growing monitoring and, the
dosage of gonadotropins was adjusted on the basis of the
ovarian response in each patient ( 13 ). The administration
of the gonadotropin-releasing hormone (GnRH) antagonist (Cetronax ®, Ronak Pharmaceutical Company, Iran)
at a dose of 0.25 mg per day via subcutaneous injection
was initiated upon the the observation of follicle(s) with
an average diameter of 13 mm or greater. This treatment
continued until the day of the final oocyte triggering.
The final maturation of the oocytes was induced using
a GnRH agonist (0.2 mg decapeptyl®, Ferring Pharmaceuticals, Australia) once at least two follicles measuring
18 mm or more in diameter were identified. The risk of
ovarian hyperstimulation syndrome (OHSS) was defined
as a serum E2 level> 5000 pg/ml and/or the presence of
more than 20 follicles on ultrasound evaluation on the
day of oocyte triggering. In high-risk patients, the strategy of freezing all embryos was considered. Transvaginal
ultrasound-guided oocyte retrieval was performed 35 to
36 hours after the final oocyte triggering. The IVF/ICSI
procedure was conducted using ejaculated sperm on mature or metaphase II (MII) oocytes, following standard
protocols ( 13 ).
The statistical analysis was performed using SPSS software (version 22; IBM Corp., Chicago, IL, USA). Data
were presented as mean ± Standard deviation (SD) or
number (percentage). The two-tailed Student's t test and
Chi-square test were used to compare groups, as appropriate. A P<0.05 was considered to be statistically significant.
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