Abstract
Background
Endometriosis is a heterogeneous disease in which anatomical lesion burden often shows poor
correlation with pain severity and quality-of-life impairment. While classification systems such
as the revised American Society for Reproductive Medicine (r-ASRM) and Enzian score
accurately describe anatomical disease extent, their relationship to symptom burden and
reproductive outcomes remains incompletely understood.
Objective(s)
This study aimed to investigate the relationships between anatomical disease extent, pain
severity, quality-of-life impairment, and fertility outcomes across ovarian, deep, and peritoneal
endometriosis in a prospective cohort of women undergoing surgical treatment.
Study Design
This prospective observational cohort study included women aged 18–45 years undergoing
laparoscopic surgery between 2023 and 2025 at a tertiary endometriosis center. Participants were
categorized into ovarian (OE), deep (DE), or peritoneal (PE) endometriosis based on imaging
and intraoperative findings. Pain severity was assessed using numeric rating scales across
multiple domains, and quality of life was evaluated using the Endometriosis Health Profile
(EHP-30+23). Anatomical disease burden was determined using r-ASRM and Enzian
classifications. Patients were followed for 12 months after surgery to assess symptom
trajectories, pregnancy outcomes, and surgical complications. A subset of lesion samples
underwent RNA sequencing to explore molecular signatures associated with pain severity.
Results
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A total of 145 women were included (OE n=33, DE n=55, PE n=25, controls n=32). Pain
severity showed limited correlation with anatomical staging across subtypes. In contrast,
infertility and the need for ureter surgery were strongly associated with higher Enzian scores and
structural disease burden. Quality-of-life impairment closely paralleled pain intensity rather than
anatomical stage. Transcriptomic analysis identified a molecular signature associated with high
pain burden characterized by increased expression of inflammatory mediators (IL6, CCL8,
SPP1), endocannabinoid system components (PENK, CNR1) and nociceptive transcription
factors (NR4A3, EGR3). Longitudinal follow-up demonstrated substantial postoperative
improvement in pain and quality of life independent of pregnancy outcomes.
Conclusions
Pain severity, quality-of-life impairment, and reproductive dysfunction in endometriosis
represent partially independent dimensions of disease activity. While neuroinflammatory
mechanisms appear to drive pain and quality-of-life impairment, fertility outcomes and organ-
threatening complications are primarily determined by structural disease burden. Integrating
anatomical staging with multidimensional symptom assessment and molecular profiling may
enable more personalized management strategies for women with endometriosis.
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Introduction
Endometriosis is a chronic, inflammatory and estrogen-dependent disease affecting
approximately 10–15% of women of reproductive age and up to 50% of women with infertility1.
It is characterized by the presence of endometrium-like tissue outside the uterine cavity and
presents with a highly heterogeneous clinical phenotype, ranging from asymptomatic disease to
severe pelvic pain, organ dysfunction and impaired fertility2. The most frequently reported
symptoms include dysmenorrhea, dyspareunia, chronic pelvic pain and bowel or urinary
complaints, all of which may significantly reduce physical, sexual and professional activity and
negatively impact quality of life3.
Despite decades of research, the relationship between anatomical disease extent and clinical
symptom burden remains incompletely understood. The revised American Society for
Reproductive Medicine (r-ASRM) classification has been widely used to stage endometriosis
based on surgical findings4; however, multiple studies have demonstrated poor correlation
between r-ASRM stage and pain severity5,6. Similarly, the Enzian and its updated version
#Enzian were developed to provide a more detailed description of deep infiltrating endometriosis
(DE) and compartment-specific involvement7. Although these systems improve and facilitate
anatomical mapping and surgical planning, their correlation with patient-reported pain remains
inconsistent6,8.
Recent prospective analyses have shown that the intensity of dysmenorrhea, dyspareunia and
chronic pelvic pain does not systematically increase with more extensive compartment
involvement in deep endometriosis8,9. Likewise, ultrasound-based Enzian (ENZIAN(u)) staging
demonstrated that dysmenorrhea shows no clear compartment-specific pattern, while
dyspareunia and bowel symptoms show only selective associations, primarily with retrocervical
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or uterosacral ligament involvement8–10. These findings support the concept that pain in
endometriosis is multifactorial and not solely determined by lesion size or anatomical
distribution.
In contrast, pathophysiology of fertility in endometriosis is very complex, and it appears more
closely associated with anatomical disease burden. Warzecha et al. reported that infertility
prevalence increases significantly with advanced r-ASRM stage, even though pain severity does
not11. Severe disease was associated with prolonged time to conception and higher infertility
rates, suggesting that reproductive prognosis depends more strongly on structural distortion,
adhesions and deep compartment involvement than on symptom intensity11. This mismatch
between anatomical extent and reproductive outcomes suggests that pain, quality-of-life
impairment, and fertility may represent partially distinct (though interrelated) aspects of disease
burden.
Furthermore, endometriosis is increasingly viewed as a multidimensional condition with
systemic and psychosocial components. Chronic pelvic pain is associated with reduced quality of
life and a higher prevalence of depressive symptoms, yet depressive symptom severity appears to
correlate more strongly with pain burden than with disease stage12–14. These data highlight the
Limitation
of purely lesion-based classifications and support the need for integrated clinical
models that simultaneously consider anatomical, symptomatic and reproductive outcomes.
Although prior studies have evaluated classification systems, symptom correlations, or quality-
of-life impairment individually, few investigations have examined these domains concurrently
across endometriosis subtypes or assessed their evolution longitudinally after laparoscopic
surgical treatment. In particular, limited data exist comparing ovarian endometriosis (OE), deep
endometriosis (DE), and peritoneal endometriosis (PE) with respect to pain trajectories, quality-
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of-life improvement, postoperative anatomical scores, and subsequent pregnancy outcomes
within the same cohort.
Given the increasing emphasis on individualized management and fertility preservation
strategies, a comprehensive analysis integrating anatomical staging, symptom burden, quality-of-
life impairment and reproductive outcomes across endometriosis subtypes is warranted.
Clarifying whether symptom improvement translates into improved fertility, and whether
residual anatomical disease burden predicts reproductive success independent of pain, has direct
implications for patient counseling and treatment planning.
The aim of the present study was therefore to investigate the relationships between (1)
anatomical disease extent assessed by r-ASRM and Enzian classification, (2) pain severity and
multidimensional quality-of-life impairment, and (3) postoperative pregnancy outcomes across
ovarian, deep and peritoneal endometriosis. By integrating these domains in a longitudinal
framework, we sought to clarify whether pain, quality of life and fertility represent convergent or
independent axes of disease activity and to identify subtype-specific patterns that may inform
personalized management strategies.
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Materials and methods
Study Design and Setting
This study was designed as a prospective observational cohort analysis with longitudinal follow-
up. Women diagnosed with endometriosis were consecutively recruited at General University
Hospital in Prague (2023-2025). The study included both cross-sectional baseline assessment and
follow-up evaluation at 3 and 12 months after surgical intervention. The primary objective was to
evaluate the relationship between anatomical disease burden, symptom severity, quality-of-life
impairment, and reproductive outcomes across endometriosis subtypes. Secondary objectives
included assessment of sterility status and predictors of ureter surgery.
The study was conducted in accordance with the Declaration of Helsinki and approved by the
local Ethics committee of General University Hospital, Department of Gyneacology, Obstetrics
and Neonatology (Ethical approval ID: Ref. No. 3/23 Grant GIP) on 16/02/2023. The recruitment
of the patients for the study started on 01/04/2023. All participants provided written informed
consent prior to inclusion.
Participants
Inclusion criteria
• Women aged 18–45 years
• Availability of complete baseline pain and quality-of-life data
• Available r-ASRM and/or Enzian classification
Additional inclusion criteria – endometriosis group
• Laparoscopically and histologically confirmed diagnosis of endometriosis
Additional inclusion criteria – healthy controls
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• No endometriosis detected intra-operatively or histologically
• Undergoing planned laparoscopic or hysteroscopic procedure for another benign
indication
Exclusion criteria (both groups)
• Age 45 years
• Refusal to participate or withdrawal of consent
• Non-fulfilment of group-specific criteria at the time of surgery
• Active malignancy
• Severe systemic or psychiatric comorbidities that could independently affect quality of
life
• Incomplete staging or missing follow-up data
Healthy controls were recruited among women undergoing gynecological laparoscopic surgery
for other benign indications and had no clinical, imaging, or surgical evidence of endometriosis.
Endometriosis Phenotyping
Participants were categorized into three subtypes based on dominant lesion type:
1. Ovarian endometriosis (OE)
2. Deep endometriosis (DE)
3. Peritoneal endometriosis (PE)
Subtype classification was determined preoperatively by expert sonographers using high-
resolution transvaginal ultrasound according to the International Deep Endometriosis Analysis
(IDEA) consensus criteria and intraoperatively by the operating surgeon.
Anatomical Staging
Disease severity was assessed using:
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• Revised American Society for Reproductive Medicine (r-ASRM) staging (I–IV)
• #Enzian classification - Enzian scores were recorded both preoperatively based on
ultrasound (u) and intraoperatively based on surgical findings (s).)
Enzian compartments and severity grades were systematically documented as Enzian (u) by
expert sonographers in the preoperative transvaginal ultrasound report and as surgical Enzian
[Enzian (s)] by the operating surgeon in the operative report.
Surgical Management
All surgeries were performed by experienced endometriosis surgeons within a multidisciplinary
team. The surgical goal was complete excision of macroscopically visible lesions while
preserving organ function and fertility when possible. Ureter surgery (e.g., ureterolysis or
resection) was documented separately. Indications were based on intraoperative findings of
ureteral involvement or obstruction.
Pain Assessment
Pain was evaluated using an 11-point Numeric Rating Scale (NRS, 0–10) for the following
domains:
• Chronic pelvic pain
• Dysmenorrhea (painful menstruation)
• Dyspareunia (painful sexual intercourse)
• Dysuria (painful urination)
• Dyschezia (painful defecation)
A composite pain score was calculated as the mean of individual pain domain scores.
Pain assessment was performed:
• At baseline (preoperatively)
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• At 3 months postoperatively
• At 12 months postoperatively
Enzian score calculation:
Enzian (u) and (s) scores were recorded by assigning compartment-specific severity grades (1–3)
according to lesion size/extent for each affected compartment, including peritoneal (P), ovarian
(O), tubal (T), and deep infiltrating compartments A, B, and C.
Quality-of-Life Assessment
Quality of life was assessed using a structured questionnaire comprising four arbitrary domains:
• Physical and functional impairment
• Symptom burden and perceived control
• Emotional and psychological distress
• Social identity and stigma
The Endometriosis Health Profile-30+23 (EHP-30+23) was scored on a standardized scale; item
scores were averaged to derive domain-specific and overall quality-of-life (QoL) impairment
scores.
Fertility and Reproductive Outcomes
Sterility status was defined as failure to conceive after ≥12 months of regular unprotected
intercourse.
Pregnancy outcomes were assessed at 12-month follow-up. Both spontaneous conception and
conception via assisted reproductive technologies (ART) were recorded.
Anti-Müllerian hormone (AMH) levels were documented where available, both preoperatively
and at 3 months postoperatively.
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Longitudinal Follow-up
Patients were reassessed at:
• 3 months postoperatively
• 12 months postoperatively
The following were recorded at follow-up:
• Pain scores
• Quality-of-life (QoL) scores
• Clinical gynecological examination and Enzian (u) score
• Conception attempts and Pregnancy status
Pain-associated biomarker analysis.
A subset of patient tissue samples included in this study was subjected to transcriptomic profiling
to explore molecular signatures associated with pain severity and endometriosis subtype. RNA
sequencing (RNA-seq) was performed as previously described15, with raw sequencing data
deposited in the ArrayExpress database under accession number E-MTAB-15117. Sample
selection was performed without clinical pre-stratification and was based solely on chronological
procurement and fulfillment of predefined RNA quality criteria. The final cohort included
samples from ovarian, deep, and peritoneal endometriosis lesions, as summarized in
Supplementary Figure 1A. For exploratory analysis of pain-associated molecular signatures,
patients were stratified into high-pain and low-pain groups based on composite pain scores
derived from standardized numeric rating scale assessments at baseline. High-pain group
corresponds to samples from women with composite pain score above median (>15.5), while
low-pain group corresponds samples from women with composite pain score below median
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(<15.5). Pain stratification thresholds were predefined to ensure separation of clinically
meaningful phenotypes while maintaining adequate statistical power. Gene expression was
analyzed using standard bioinformatics pipeline in R (4.4.2) using Bioconductor package
DEseq216. Final p values were adjusted using the Benjamini and Hochberg method and genes
with p-adjusted value <0.05 were considered significantly differentially expressed.
Statistical Analysis
Between-group comparisons
Kruskal–Wallis tests were used for comparisons between groups followed by Dunn’s multiple
comparisons test for comparison between individual groups. Fisher’s exact test was used for
categorical variables.
Correlation analyses
Spearman correlation coefficients were calculated to assess relationships between:
• Pain scores and anatomical staging
• QoL scores and pain
• Fertility outcomes and anatomical parameters
• Longitudinal analysis
A p-value <0.05 was considered statistically significant. Statistical analyses were performed
using Prism software (GraphPad).
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Results
Patient characteristics
A total of 145 women were included: ovarian endometriosis (n = 33), deep endometriosis (n =
55), peritoneal endometriosis (n = 25), and healthy controls (n = 32). Age, BMI, age at
menarche, and cycle length were comparable across groups. Pain profiles differed by phenotype:
dysmenorrhea was most pronounced in deep endometriosis, while non-cyclic pelvic pain and
dyspareunia were highest in peritoneal disease. Dyschezia was markedly elevated in deep and
peritoneal endometriosis compared to ovarian disease and controls. Infertility was substantially
more frequent in deep endometriosis (62%) than in ovarian (27%) or peritoneal endometriosis
(32%), and lowest among controls (22%). Deep endometriosis was predominantly associated
with advanced r-ASRM stage IV disease and extensive multi-compartment involvement on
Enzian classification, whereas ovarian and peritoneal phenotypes were characterized by more
localized disease patterns.
Pain burden differs by subtype and demonstrates distinct internal structure
Pain scores for pelvic pain, dysmenorrhea, dyspareunia, dysuria, and dyschezia are shown in
Figure 1A. Pain scores for pelvic pain, dysmenorrhea, dyspareunia and dyschezia were
significantly different among the groups, while dysuria pain scores were not (Fig. 1A). The most
prominent difference was in pain score for dysmenorrhea where patients with all endometriosis
subtypes reported significantly higher pain scores compared to healthy control. In other
individual pain scores, there were apparent differences between subtypes. Women with
peritoneal endometriosis reported significantly higher pain scores across all pain domains
(except dysuria), while women with deep endometriosis reported higher pain scores for pelvic
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pain and for dyschezia with even higher magnitude than women with peritoneal endometriosis.
Correlation heatmaps (Fig. 1B) revealed subtype-specific pain architecture. In OE, correlations
between domains were generally weak to moderate, with the strongest association observed
between pelvic pain and dyspareunia (Fig. 1B, top left). Similarly in DE, correlations remained
modest with strongest correlation between dyspareunia, dysuria and dyschezia (Fig. 1B, top
right). In contrast, PE exhibited strong positive correlations across most pain domains,
indicating a more globally coherent pain phenotype (Fig. 1B, bottom left). Healthy controls
demonstrated moderate inter-domain correlations at lower absolute pain levels (Fig. 1B, bottom
right).
Pain shows limited correlation with anatomical staging and imaging findings
Figure 2 illustrates correlation matrices between pain scores and ultrasound and laparoscopic
staging parameters across OE, DE, and PE. The correlation heatmap allows to draw several
conclusions. In OE and DE, the pain scores do not correlated with Enzian scores (ultrasound or
laparoscopic) or with r-ASRM stage, while in PE, we can see a correlation between individual
pain scores and Enzian compartment A and B involvement assessed using ultrasound. The
dissociation was most evident in OE and DE, where high anatomical burden did not correspond
to proportional increases in symptom severity. Interestingly, there are differences in scoring
correlation between ultrasound and laparoscopic Enzian scores. In OE, there is significant
concordance between ultrasound and laparoscopic Enzian scores for compartments A, B and C
involvement as well as for ovarian involvement (Fig 2A). Similarly, in DE, strongest correlation
is seen in ultrasound and laparoscopic Enzian score for ovarian and tube involvement, and
weaker correlation for compartments A, B and C (Fig 2B). Finally, in PE, we see again the
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strongest correlation between ultrasound and laparoscopic Enzian scores for ovarian and tube
involvement, and much weaker and inconsistent between scores for compartment A, B and C
(Fig. 2C). When looking at the correlation between r-ASRM stage and other features, the results
are fairly consistent between subtypes. There is a positive correlation between r-ASRM and
laparoscopic Enzian scores for compartments A, B, C and tube involvement in all three subtypes,
with strongest correlation in PE, followed by OE and DE (Fig. 2A-C). Similarly, there is positive
correlation between between r-ASRM and laparoscopic Enzian scores for compartments A, B, C
and tube involvement in PE and OE, while in DE the correlation is weak and not significant (Fig.
2A-C). Finally, we compared the symptom severity and Enzian score-informed disease extent
with r-ASRM stages (Fig. 3). Ultrasound and laparoscopic Enzian scores increased progressively
with advancing r-ASRM stage across OE and DE, confirming structural concordance between
staging systems (Fig. 3A-B), while in PE, r-ASRM staging was correlated only with
laparoscopy-informed Enzian score reflecting higher difficulty with ultrasound assessment of
peritoneal endometriosis (Fig. 3C). In contrast, pain domains and composite pain score showed
substantial overlap across stages without consistent escalation.
Quality of life impairment is primarily pain-driven
Quality-of-life domain scores are presented in Figure 4A. All endometriosis groups demonstrated
significantly worse physical and functional impact, symptom burden, emotional distress, and
social identity impairment compared with controls. Women with DE and PE reported
significantly increased QoL impairment scores across all 4 domains, with symptom burden and
perceived control impairment being the most significant (Fig. 4A). In contrast, women with OE
reported modestly increased QoL burden across the domains compared to healthy individuals,
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with symptom burden and perceived control impairment being the only one significantly
increased (Fig. 4A). Correlation heatmaps (Fig. 4B) showed notable variability between
subtypes. The strongest correlation was observed between QoL impairment and dysmenorrhea in
women with OE, while there was no correlation between QoL impairment and general pelvic
pain or dyschezia, and only a weak and inconsistent correlation with dysuria (Fig. 4B). Similar to
women with OE, women with DE reported significant correlation between QoL impairment and
dysmenorrhea, but also high correlation with general pelvic pain and dyschezia to a certain
degree (Fig. 4B). On the other hand, women with PE consistently reported strong correlation
between QoL impairment across all domains and symptoms severity, with strongest correlation
between dysmenorrhea and dyspareunia with physical impact and symptoms burden (Fig. 4B)
To explore the association between pain severity and molecular alterations within endometriotic
lesions, we reanalyzed RNA sequencing data as previously described15. Eligible samples were
stratified into high- and low-pain groups based on composite pain scores, and differential gene
expression analysis was performed. Despite the relatively small cohort size (high pain: n = 13;
low pain: n = 13), we identified a distinct set of genes significantly overexpressed in lesions from
women with high pain burden (Supplementary Figure 1B; Fig. 4C). Among the most strongly
upregulated transcripts were several genes with established roles in inflammatory signaling and
pain perception. Notably, IL6, OSM, CCL8 and SPP1 were significantly increased, consistent
with enhanced inflammatory cytokine signaling (Fig. 4C, top row). The immediate early
transcription factors NR4A3 and EGR3 associated with nociception were also markedly elevated,
suggesting increased transcriptional activation associated with nociceptive signaling (Fig. 4C,
bottom left). Finally, upregulation of endocannabinoid system-associated genes PENK and
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CNR1 further supports engagement of neurobiological pathways within high-pain lesions (Fig
4C).
Infertility is associated with structural disease burden but not with pain
Infertility analyses are shown in Figure 5. Across OE, DE, and PE, women with confirmed
infertility did not exhibit higher pain scores or composite pain burden compared with non-sterile
women in the same subgroup (Fig. 5A-C). Similarly, AMH levels showed no consistent
association with infertility status across the groups. In contrast, sterile women demonstrated
consistently higher laparoscopic Enzian scores across subtypes, however reaching statistical
significance only in women with DE (Fig. 5A-C). There was a trend showing higher ultrasound
Enzian scores in women with confirmed infertility however not reaching statistical significance
in any of the subtypes. On the other hand, r-ASRM stages were not correlated with infertility in
women with OE and DE, while the women with PE with higher r-ASRM stages exhibited
significantly higher proportion of infertility (Fig. 5C). These findings indicate that reproductive
impairment is structurally mediated rather than symptom-driven.
Longitudinal follow-up demonstrates symptom improvement independent of pregnancy
To investigate the functional, symptomatic and emotional recovery after laparoscopic removal of
endometriotic lesions, we conducted a follow-up analysis at 3 and 12 months after surgery (Fig.
6A-C). Across all the subtypes, the trend was consistent with subtle differences. Pain perception
across all the domains was most significantly decreased in women with higher r-ASRM (III/IV)
staging at baseline with consistent decrease of follow up ultrasound Enzian scores (Fig. 6A).
Interstingly, in women with lower r-ASRM stage (I/II) the pain perception decrease was rather
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modest or not evident, even though baseline pain scores were comparable high to women with
higher stages and the follow up ultrasound Enzian score was lowered (Fig. 6A). On the other
hand, quality-of-life scores improved consistently across subtypes and stages, further supporting
a disconnection between symptoms, disease extent and quality of life scores (Fig. 6B).
Additional analysis of reproductive health improvement showed that despite objective disease
removal, pregnancy rates at 12 months did not significantly improved and pregnancy occurred
in 6/11 women with OE, 9/30 with DE, and 4/10 with PE, without statistically significant
differences across subtypes (Fig. 6C). Additional correlation analysis of pregnancy predictors
showed overall poor correlation between recorded metrics (symptoms, stage, Enzian, QoL) at
baseline or at 12 months follow up (Supplementary Table 1). Only statistical significant
predictors were discovered in women with DE, where the pregnancy was associated with lower
12-month ultrasound Enzian score and significantly lower impairment in physical and functional
impact, symptom burden, emotional distress, and social identity domains.
Ureter surgery is driven by anatomical extent rather than symptoms
Since one of the major complication of deep endometriosis is possible renal failure, we
investigated if there are any predictors of the necessity for ureter surgery. As shown in Figure 7,
laparoscopic composite Enzian score as well as laparoscopic individual Enzian scores for tube
involvement showed strong positive correlation for the need for ureter surgery, while right and
left tubal involvement, compartment B lesions, ovarian involvement, showed significant yet
much weaker association (Fig. 7A-B). Interestingly dyschezia and dyspareunia demonstrated
medium negative associations but did not reach the statistical significance observed for structural
parameters (Fig. 7A-B).
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Comments
Principal findings
In this study, we show that the clinical severity of endometriosis cannot be explained by a single
anatomical continuum. Instead, our findings support the presence of two partially independent
biological axes that shape disease manifestations: a neuroinflammatory axis governing pain
severity and quality-of-life impairment, and a structurally driven fibrotic axis determining
fertility outcomes, surgical complexity, and risk of organ compromise. Pain intensity and quality-
of-life measures were largely independent of anatomical staging, whereas reproductive outcomes
and surgical interventions were strongly associated with disease extent measured by r-ASRM
and Enzian scores. Transcriptomic analysis further identified a molecular program associated
with severe pain characterized by endocannabinoid system activation, inflammatory cytokine
signaling, extracellular matrix remodeling, and activation of nociceptive transcriptional
pathways. Together, these findings provide a biological framework that explains the longstanding
discordance between lesion burden and symptom severity in endometriosis.
Results
The weak association between anatomical staging and pain severity observed in our cohort is
consistent with prior studies demonstrating poor correlation between r-ASRM stage and
dysmenorrhea, chronic pelvic pain, or dyspareunia8–10. Pain in endometriosis arises from a
complex interaction of inflammatory mediators, neuroangiogenesis, nerve fiber infiltration, and
central sensitization. These mechanisms are not captured by lesion-based staging systems17.
Fibrotic remodeling appears to be a central component of disease progression18,19. Deep
infiltrating lesions are characterized by dense collagen deposition, myofibroblast activation,
smooth muscle metaplasia, and extracellular matrix stiffening. These changes can mechanically
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stimulate nociceptors and alter local mechanotransduction20,21. Importantly, fibrotic remodeling
does not necessarily correlate with total lesion burden. Small but highly fibrotic nodules may
generate substantial mechanical tension and nerve entrapment, potentially explaining the
heterogeneity of pain severity among patients with similar anatomical stages. Consistent with
this model, transcriptomic analysis identified a distinct molecular signature associated with high
pain burden across lesion subtypes. Lesions from patients with severe pain showed increased
expression of inflammatory mediators including IL6, OSM, CCL8, and SPP1, suggesting a
cytokine-driven microenvironment capable of directly sensitizing peripheral nociceptors through
JAK/STAT and MAPK signaling pathways22–24. Elevated expression of the immediate early
transcription factor NR4A3 and EGR3 further suggests activation of nociceptive transcriptional
programs, as NR4A family members and EGR3 are rapidly induced in sensory neurons during
inflammatory stimulation and contribute to persistent neuronal sensitization. Alongside this
activation signal, we observed consistent upregulation of PENK, encoding the precursor of
endogenous opioid peptides, and CNR1, encoding the cannabinoid receptor type 1. Both
pathways are central components of intrinsic pain-modulatory systems and are commonly
activated in response to chronic nociceptive stimulation25,26. Their upregulation therefore likely
reflects a compensatory neuroregulatory response, in which endogenous opioid and
endocannabinoid signaling attempts to counterbalance persistent inflammatory activation of
sensory pathways. The simultaneous presence of inflammatory mediators and endogenous
analgesic signaling suggests that painful lesions represent dynamic neuroimmune
microenvironments characterized by both nociceptive activation and intrinsic attempts at pain
modulation.
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Quality-of-life impairment in our cohort closely paralleled pain severity and showed minimal
association with anatomical staging. This observation is consistent with previous studies
demonstrating that psychosocial distress and functional impairment in endometriosis are
primarily mediated by chronic pain rather than lesion burden6,11. These results underscore the
importance of incorporating validated patient-reported outcome measures into clinical
evaluation. In contrast, fertility outcomes were strongly associated with anatomical disease
burden. Higher Enzian scores and advanced r-ASRM stages were associated with sterility and
reduced probability of pregnancy. This finding aligns with previous reports linking advanced
endometriosis to infertility. Structural distortion caused by fibrosis and adhesions likely underlies
this relationship. Progressive collagen deposition restricts fimbrial mobility, impairs tubal
patency, and disrupts the spatial relationship between the ovary and fallopian tube necessary for
efficient oocyte capture27–29.
Deep infiltrating endometriosis represents a clinical context in which structural and symptomatic
axes may converge. In this subgroup, pregnancy within 12 months was associated with lower
residual Enzian scores and improved quality-of-life measures. These findings suggest that
complete surgical excision may alleviate both fibrotic mechanical distortion and sustained
nociceptive signaling. However, the benefits of extensive surgical intervention must be balanced
against potential risks, including repeated procedures and impacts on ovarian reserve.
Ureteral involvement represents one of the most clinically significant manifestations of the
structural axis. In our cohort, ureter surgery was strongly predicted by compartmental disease
extent rather than symptom severity. Ureteral endometriosis often develops through extrinsic
compression by parametrial or uterosacral fibrotic nodules (extrinsic) or by infiltration of ureteral
wall (intrinsic form), leading to progressive luminal narrowing, impaired peristalsis, and
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hydronephrosis30,31. Because this process frequently progresses without prominent symptoms,
reliance on pain severity alone may delay diagnosis. Chronic obstruction can result in
hydronephrosis, renal cortical thinning, irreversible nephron loss, and ultimately renal failure.
These findings highlight the importance of careful anatomical assessment and imaging
surveillance in patients with deep compartment involvement.
Clinical implications
These findings have several implications for clinical management. First, anatomical staging
alone cannot reliably estimate symptom burden. Patients with limited visible disease may
experience severe pain, whereas individuals with extensive lesions may remain relatively
asymptomatic. Routine integration of validated patient-reported outcome measures and
multidimensional pain assessment is therefore essential.
Second, the molecular characteristics associated with severe pain suggest that therapies targeting
prostaglandin synthesis, such as nonsteroidal anti-inflammatory drugs, may be less effective in
patients whose symptoms are driven predominantly by cytokine-mediated nociceptor
sensitization and fibrotic tissue remodeling. Instead, the transcriptional profile observed in high-
pain lesions—characterized by inflammatory mediators (IL6, OSM, CCL8, SPP1) and neuronal
activation markers (NR4A3, EGR)—together with increased expression of endogenous pain-
modulatory pathways including PENK and CNR1, suggests an active neuroimmune pain
phenotype. In this context, neuromodulatory agents such as gabapentinoids or serotonin–
norepinephrine reuptake inhibitors, which reduce neuronal hyperexcitability and enhance
descending inhibitory pathways, may represent biologically rational therapeutic options.
Third, careful anatomical evaluation remains critical for identifying patients at risk of structural
complications. Classification systems that capture compartmental disease extent, such as the
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Enzian score, provide valuable information for anticipating surgical complexity and guiding
surveillance for complications including ureteral obstruction and infertility.
Research implications
These findings highlight the need for integrated disease classification frameworks that capture
both structural burden and biological activity. Current staging systems quantify anatomical extent
but do not measure neuroinflammatory activity or fibrotic remodeling. Conversely, pain scales
capture symptom intensity but do not indicate structural risk. Future research should therefore
focus on multidimensional phenotyping strategies that combine anatomical staging, symptom
profiling, and molecular biomarkers. The transcriptional programs identified in this study also
suggest potential therapeutic targets. Modulation of inflammatory signaling, extracellular matrix
remodeling, and myofibroblast activation may represent promising approaches for addressing
both symptom burden and disease progression.
Strengths and limitations
This study integrates detailed clinical phenotyping with molecular analysis of lesion tissue,
allowing simultaneous evaluation of anatomical disease burden, symptom severity, and
transcriptional programs associated with pain. The inclusion of longitudinal reproductive
outcomes and surgical variables further strengthens the clinical relevance of our findings.
However several limitations should be acknowledged. Transcriptomic analyses were performed
in a subset of samples and may not capture the full molecular heterogeneity of endometriosis.
Pain assessment relied on patient-reported measures and may be influenced by individual
differences in perception and reporting. In addition, the observational design limits causal
inference regarding the mechanistic relationships between fibrosis, neuroinflammation, and
clinical outcomes.
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Conclusions
Endometriosis severity cannot be adequately conceptualized as a single lesion-based continuum.
Instead, disease manifestations arise from the interaction of two partially independent biological
programs: a neuroinflammatory axis governing pain and quality-of-life impairment and a fibrotic
structural axis determining fertility outcomes, surgical complexity, and risk of organ
compromise. Recognizing these distinct yet intersecting dimensions helps explain the
longstanding disconnect between lesion burden and symptom severity. Integrating anatomical
and biological phenotyping into clinical practice may enable more precise management strategies
aimed at alleviating pain while preventing progressive structural complications, including organ-
threatening manifestations such as ureteral obstruction and renal failure.
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Figure Legends:
Figure 1. Pain score distribution and inter-domain correlations. (A) Boxplots showing pain
scores for pelvic pain, dysmenorrhea, dyspareunia, dysuria and dyschezia in ovarian
endometriosis (OE), deep endometriosis (DE), peritoneal endometriosis (PE), and healthy
controls (CTRL). P-value represents Kruskal-Wallis test results, and asterisks represent Dunn’s
test scores between control group and individual endometriosis subtypes as follows: * <0.05, **
<0.01, *** <0.001, **** <0.0001. (B) Spearman correlation heatmaps illustrating relationships
between pain domains within each group.
Figure 2. Correlation between pain, ultrasound, and laparoscopic findings. (A-C) Spearman
correlation matrices for OE, DE, and PE demonstrating relationships between pain scores and
ultrasound and laparoscopic Enzian parameters, including compartmental involvement and r-
ASRM stage.
Figure 3. Pain and structural scores stratified by r-ASRM stage. (A-C) Bar graphs showing
pain domain scores, composite pain score, ultrasound Enzian score, and laparoscopic Enzian
score across r-ASRM stages I–IV within OE, DE, and PE. Asterisks represent Student’s t-test
scores between control group and individual endometriosis subtypes as follows: * <0.05, **
<0.01, *** <0.001, **** <0.0001.
Figure 4. Quality of life and its association with pain. (A) Boxplots showing average Quality
of life composite scores for 4 distinct domain, namely physical & functional impact, symptom
burden & perceived control, emotional & psychological distress, stigma & self-image in ovarian
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endometriosis (OE), deep endometriosis (DE), peritoneal endometriosis (PE), and healthy
controls (CTRL). P-value represents Kruskal-Wallis test results, and asterisks represent Dunn’s
test scores between control group and individual endometriosis subtypes as follows: * <0.05, **
<0.01, *** <0.001, **** <0.0001. (B) Spearman correlation heatmaps illustrating relationships
between pain domains QoL domains within each group. (C) Box plots showing counts per
million (cpm) distribution for selected genes in high and low pain groups. P-value represents
adjusted p-values calculated using Wald test followed by Benjamini and Hochberg adjustment.
Figure 5. Association between sterility and clinical parameters. (A) Bar charts representing
pain scores, AMH, ultrasound Enzian score, laparoscopic Enzian score, and r-ASRM stage in
infertile (YES) versus non-infertile (NO) women across subtypes. Asterisks represent Student’s t-
test scores between control group and individual endometriosis subtypes as follows: * <0.05, **
<0.01, *** <0.001, **** <0.0001.
Figure 6. Follow-up trends and pregnancy outcomes. (A) Bar charts representing changes in
pain scores and ultrasound Enzian score from diagnosis to 3 and 12 months follow up, grouped
by rASRM stage and subtype. (B) Bar charts representing changes in QoL domain scores and
ultrasound Enzian score from diagnosis to 3 and 12 months, follow up grouped by rASRM stage
and subtype. (C) Bar charts representing number of pregnancies recorded at 12-month follow-up
stratified by subtype. Asterisks represent Student’s t-test scores between control group and
individual endometriosis subtypes as follows: * <0.05, ** <0.01, *** <0.001, **** <0.0001.
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Figure 7. Ureter surgery outcomes. (A) V olcano plot showing characteristics associated with
ureter surgery (difference vs –log(q value)). (B) Bar chart shows comparison of structural and
symptom variables between patients with and without ureter surgery. Asterisks represent
Student’s t-test scores between control group and individual endometriosis subtypes as follows: *
<0.05, ** <0.01, *** <0.001, **** <0.0001. [LAP] – laparoscopy, [US] - ultrasound
Table 1: Recruited patients’ characteristics. Baseline characteristics, symptom severity,
reproductive parameters, and anatomical classification across ovarian endometriosis, deep
endometriosis, peritoneal endometriosis, and healthy control groups. Continuous variables are
presented as mean ± standard deviation. Categorical variables are shown as absolute numbers or
percentages, as indicated. Disease stage was classified according to the revised American Society
for Reproductive Medicine (rASRM) system. Deep infiltrating lesions were described using the
Enzian classification based on laparoscopic findings. AMH, anti-Müllerian hormone; BMI, body
mass index; rASRM, revised American Society for Reproductive Medicine.
Supplementary Figure 1. Pain-associated biomarkers. (A) Table showing sample grouping
into high and low pain groups and individual pain domain average scores for endometriosis
subtypes. (B) V olcano plot depicting the distribution of differentially expressed genes between
aggregated endometriosis subtypes in low and high pain groups. The x-axis represents the log2
fold change, while the y-axis represents -log10(p-value). Each point corresponds to a gene, with
significantly upregulated genes shown in red, downregulated genes in blue, and non-significant
genes in gray. The dashed horizontal line indicates the significance threshold (p-value < 0.05),
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and the vertical dashed lines denote the fold-change cut-off (log2FC > 1 or < -1). Labeled points
indicate key genes of interest.
Supplementary Table 1. Predictors of pregnancy at diagnosis and 12-month follow-up. P
values, effect differences, and q values for associations between pain domains, structural scores,
QoL domains, and pregnancy across OE, DE, and PE. Green highlight indicates significant
association between pregnancy and respective characteristics.
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Table 1: Patient characteristics table
Ovarian Endometriosis Deep Endometriosis Peritoneal Endometriosis Healthy control
Sample size 33 55 25 32
Age 30.6 (+/-5.8) 32.6 (+/-5.9) 32.52 (+/-6.1) 32.5 (+/-6)
BMI 24.2 (+/-5.7) 24.4 (+/-4.1) 24.5 (+/-4.8) 26.4 (+/-5.8)
Menarche 12.9 (+/- 0.9) 12.8 (+/- 1.4) 12.5 (+/-1.6) 12.6 (+/- 1.2)
Cycle length 28.3 (+/-1.9) 27.8 (+/- 2.3) 27.7 (+/-2.6) 28.2 (+/-1.7)
Pelvic pain 2.7 (+/-2.6) 2.4 (+/-2.1) 3.9 (+/-2.8) 1.1 (+/-2.5)
Dysmenorhea 6.4 (+/-3.1) 7.1 (+/-2.5) 6.5 (+/-2.6) 3.9(+/-3.2)
Dyspareunia 3.5 (+/-3.2) 3.2 (+/-3) 4.4 (+/-3.6) 2.1 (+/-2.5)
Dysuria 1.9 (+/-2.7) 2.1 (+/- 2.7) 2.2(+/-2.1) 1.9 (+/-3)
Dyschezia 0.97 (+/-2.2) 2.9 (+/-3) 2.9 (+/-3.3) 0.84 (+/-2)
Infertility 27% 62% 32% 22%
AMH (ng/ml) 5.5 (+/-3.6) 3.2 (+/-3.4) 4.1 (+/-2.8) 4.5 (+/-3.1)
Total number of pregnancies
0 26 39 19 24
1 5 8 5 7
2 1 5 1 1
3 1 3 0 0
Total number of births
0 28 45 22 29
1 4 9 3 3
2 0 1 0 0
3 1 0 0 1
Disease stage (rAFS)
Stage I (Minimal) 1-5 2 1 12 N/A
Stage II (Mild) 6-15 8 2 7 N/A
Stage III (Moderate) 16-40 18 3 6 N/A
Stage IV (Severe) over 40 5 46 0 N/A
Undetermined 0 3 0 N/A
Enzian score (laparoscopic)
P- peritoneum
P1 18% 35% 40% N/A
P2 24% 24% 44% N/A
P3 12% 5% 8% N/A
O- ovary Left
O1 12% 20% 16% N/A
O2 48% 22% 4% N/A
O3 21% 18% 0% N/A
O- ovary Right
O1 18% 18% 8% N/A
O2 33% 15% 4% N/A
O3 0% 9% 0% N/A
T- tube Left
T1 27% 15% 12% N/A
T2 3% 13% 8% N/A
T3 18% 53% 12% N/A
T- tube Right
T1 18% 16% 12% N/A
T2 3% 16% 4% N/A
T3 12% 36% 0% N/A
A
A1 12% 22% 4% N/A
A2 6% 35% 0% N/A
A3 3% 35% 0% N/A
B (left)
B1 21% 35% 24% N/A
B2 3% 47% 0% N/A
B3 0% 9% 0% N/A
B right
B1 15% 44% 20% N/A
B2 3% 24% 4% N/A
B3 0% 5% 0% N/A
C
C1 6% 13% 0% N/A
C2 6% 15% 0% N/A
C3 0% 51% 0% N/A
F A 0% 13% 0%
F B 0% 9% 0%
F I 6% 2% 0%
F U 3% 11% 0%
F O 0% 2% 4%
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Figure 1: Pain score in the group & correlation
A
B
0 5 10 15
CTRL
PE
DE
OE
0 5 10 15
0 5 10 15
0 5 10 15
0 5 10 15
Pelvic pain
(p-value 0.0005)
Dysmenorrhea
(p-value <0.0001)
Dyspareunia
(p-value 0.039)
Dysuria
(p-value 0.49)
Dyschezia
(p-value <0.0001)
Ovarian Endometriosis Deep Endometriosis
Peritoneal Endometriosis Healthy
Pain score Pain score Pain score Pain score Pain score
***
*
**
**
****
* **
****
0.22
0.09
0.09
0.08
1.00
-0.02
0.19
0.36
1.00
0.08
0.50
0.25
1.00
0.36
0.09
0.12
1.00
0.25
0.19
0.09
1.00
0.12
0.50
-0.02
0.22
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
-1.0
-0.5
0
0.5
1.0
0.19
0.19
0.34
0.36
1.00
0.01
0.23
0.05
1.00
0.36
0.07
0.20
1.00
0.05
0.34
0.32
1.00
0.20
0.23
0.19
1.00
0.32
0.07
0.01
0.19
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
-1.0
-0.5
0
0.5
1.0
0.27
0.38
0.39
0.33
1.00
0.40
0.47
0.64
1.00
0.33
0.52
0.72
1.00
0.64
0.39
0.42
1.00
0.72
0.47
0.38
1.00
0.42
0.52
0.40
0.27
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
-1.0
-0.5
0
0.5
1.0
0.42
0.51
0.50
0.47
1.00
0.57
0.32
0.39
1.00
0.47
0.51
0.50
1.00
0.39
0.50
0.47
1.00
0.50
0.32
0.51
1.00
0.47
0.51
0.57
0.42
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
-1.0
-0.5
0
0.5
1.0
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Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA FB FI FU FO Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA FB FI FU FO r-AFS
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA
FB
FI
FU
FO
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA
FB
FI
FU
FO
r-AFS
-1.0
-0.5
0
0.5
1.0
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA FB FI FU FO Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA FB FI FU FO r-AFS
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA
FB
FI
FU
FO
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA
FB
FI
FU
FO
r-AFS
-1.0
-0.5
0
0.5
1.0
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA FB FI FU FO Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA FB FI FU FO r-AFS
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA
FB
FI
FU
FO
Peritoneum
Ovary (left)
Ovary (right)
Tube (left)
Tube (right)
Compartment A
Compartment B (right)
Compartment B (left)
Compartment C
FA
FB
FI
FU
FO
r-AFS
-1.0
-0.5
0
0.5
1.0
Deep EndometriosisPeritoneal Endometriosis Ovarian Endometriosis
Ultrasound Laparoscopy
Ultrasound
Laparoscopy
Ultrasound
Laparoscopy
Ultrasound
Laparoscopy
Figure 2: Pain score,
ultrasound and laparoscopy
score correlation
A
B
C
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Pelvic pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Composite score
Ultrasound Enzian Score
Laparoscopy Enzian Score
0
5
10
15
20
Stage I
Stage II
Stage III
Stage IV
Figure 3: Pain, Enzian, rAFS score
Deep Endometriosis
Peritoneal Endometriosis
Ovarian Endometriosis
Score ScoreScore
*
*
**
*
****
A
B
C
Pelvic pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Composite score
Ultrasound Enzian Score
Laparoscopy Enzian Score
0
5
10
15
20
Stage I
Stage II
Stage III
Stage IV
Pelvic pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Composite score
Ultrasound Enzian Score
Laparoscopy Enzian Score
0
5
10
15
20
Stage I
Stage II
Stage III
Stage IV
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0 1 2 3 4 5
CTRL
PE
DE
OE
0 1 2 3 4 5
0 1 2 3 4 5
0 1 2 3 4 5
Physical &
Functional Impact
(p-value 0.0093)
Symptom Burden &
Perceived Control
(p-value 0<.0001)
Emotional &
Psychological Distress
(p-value 0.0093)
Stigma &
Self-Image
(p-value 0.026)
Figure 4: Quality of life and pain score
Average QoL score Average QoL score Average QoL score Average QoL score
A
Ovarian Endometriosis Deep Endometriosis Peritoneal Endometriosis Healthy
Physical & Functional Impact
Symptom Burden & Perceived Control
Emotional & Psychological Distress
Social Identity
Physical & Functional Impact
Symptom Burden & Perceived Control
Emotional & Psychological Distress
Social Identity
Physical & Functional Impact
Symptom Burden & Perceived Control
Emotional & Psychological Distress
Social Identity
0
0.2
0.4
0.6
0.8
1.0B
*
**
***
****
*
*
**
*
*
Physical & Functional Impact
Symptom Burden & Perceived Control
Emotional & Psychological Distress
Social Identity
Pelvic Pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Composite score
Endocannabinoid system
Low pain
High pain
0
5
10
15
20
Low pain
High pain
0
10
20
30
Low pain
High pain
0
200
400
600
Low pain
High pain
0
20
40
60
Low pain
High pain
0
200
400
600
Low pain
High pain
0
200
400
600
800
1000
Inflammatory signaling
Nociceptive signaling
PENK CNR1
SPP1IL6 CCL8
NR4A3
Counts per Million
Counts per Million
Counts per Million
Counts per Million
Counts per MillionCounts per Million
C
Low pain
High pain
0
10
20
30
40
50
OSM
Low pain
High pain
0
200
400
600
800
Counts per Million
p-adj: 0.012 p-adj: 0.003 p-adj: 0.023 p-adj: 0.039
EGR3
Counts per Million
p-adj: 0.004 p-adj: 0.025 p-adj: 0.048 p-adj: 0.012
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Figure 5: Infertility association
Deep Endometriosis
Peritoneal Endometriosis
Ovarian Endometriosis
Score ScoreScore
A
**
**
B
C
Pelvic pain
Dysmenorrhea
Dyspareunie
Dysuria
Dyschezia
Composite pain score
AMH
Ultrasound Enzian Score
Laparoscopy Enzian Score
rAFS
0
5
10
15
20
YES
NO
Pelvic pain
Dysmenorrhea
Dyspareunie
Dysuria
Dyschezia
Composite pain score
AMH
Ultrasound Enzian Score
Laparoscopy Enzian Score
rAFS
0
5
10
15
20
YES
NO
Pelvic pain
Dysmenorrhea
Dyspareunie
Dysuria
Dyschezia
Composite pain score
AMH
Ultrasound Enzian Score
Laparoscopy Enzian Score
rAFS
0
5
10
15
20
YES
NO
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Figure 6: Follow up trends, pregnancy and recurrence
0
5
10
15 Diagnosis
3 Months FU
12 Months FU
0
5
10
15
0
5
10
15
0
20
40
60
Diagnosis
3 Months FU
12 Months FU
0
10
20
30
0
10
20
30
Physical & Functional Impact
Symptom Burden & Perceived Control
Emotional & Psychological Distress
Social Identity, Stigma & Self-Image
0
10
20
30
0
5
10
15 Diagnosis
3 Months FU
12 Months FU
0
5
10
15
0
5
10
15
0
10
20
30
0
10
20
30
0
20
40
60
Diagnosis
3 Months FU
12 Months FU
Physical & Functional Impact
Symptom Burden & Perceived Control
Emotional & Psychological Distress
Social Identity, Stigma & Self-Image
0
10
20
30
0
5
10
15 Diagnosis
3 Months FU
12 Months FU
0
5
10
15
0
20
40
60 Diagnosis
3 Months FU
12 Months FU
0
10
20
30
40
Physical & Functional Impact
Symptom Burden & Perceived Control
Emotional & Psychological Distress
Social Identity, Stigma & Self-Image
0
10
20
30
40
0
5
10
15
20
25 YES
NO
Number of patients
C
OE DE PE
B
A
r-ASRM Stage Ir-ASRM Stage IIr-ASRM Stage IIIr-ASRM Stage IVr-ASRM Stage Ir-ASRM Stage IIr-ASRM Stage IIIr-ASRM Stage IV
Ovarian Endometriosis Deep Endometriosis Peritoneal Endometriosis
Ovarian Endometriosis Deep Endometriosis Peritoneal Endometriosis
Pregnancy after 12 M FU
Pelvic pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Ultrasound Enzian Score
0
5
10
15
Pelvic pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Ultrasound Enzian Score
0
5
10
15
Pelvic pain
Dysmenorrhea
Dyspareunia
Dysuria
Dyschezia
Ultrasound Enzian Score
0
5
10
15
**********
***
**
**
**
*
*
***
***
****
***
**
***
**
***
*
**
*
****
****
****
**
****
****
****
**
*
*
*
*
**
*
*
*
*
**
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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Figure 7: Outcomes: Ureter operation
-5 0 5
0
1
2
3
4
5
Difference
-log(q value)
A B
LAP: Enzian score
LAP: Tube (right)
LAP: Tube (left)
LAP: Compartment B
LAP: Ovary (right)
LAP: Peritoneum
LAP: Ovary (left)
US: Ovary (right)
LAP: Compartment A
Painful defecation
Dyspareunia
Ureter operation (yes/no)Ureter operation correlation with features
0 5 10 15 20
LAP: Enzian score
LAP: Tube (right)
LAP: Tube (left)
LAP: Compartment B
LAP: Ovary (right)
Dyschezia
Dyspareunia
LAP: Peritoneum
LAP: Ovary (left)
US: Ovary (right)
LAP: Compartment A
YES
NO
****
*
*
*
*
*
*
*
**
***
****
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Supplementary table 1: 12 M FU pregnancy predictors
P value Difference q value P value Difference q value P value Difference q value
Pelvic pain 0.017 -3.267 0.431 0.845 0.175 0.945 0.939 0.167 0.980
Dysmenorrhea 0.075 -2.833 0.489 0.877 0.143 0.947 0.263 -2.083 0.980
Dyspareunia 0.194 -2.533 0.553 0.623 -0.587 0.751 0.614 -1.333 0.980
Dysuria 0.701 -0.667 0.985 0.278 -1.349 0.580 0.776 -0.500 0.980
Dyschezia 0.881 0.167 0.985 0.603 0.635 0.751 0.861 0.417 0.980
Ultrasound Enzian Score 0.783 -0.667 0.985 0.602 -0.841 0.751 0.838 0.583 0.980
Stage 0.297 -0.400 0.596 0.137 -0.413 0.389 0.432 0.500 0.980
Physical & Functional Impact 0.913 -0.433 0.985 0.594 -2.333 0.751 0.706 2.750 0.980
Symptom Burden & Perceived Control0.665 -1.600 0.985 0.734 -0.857 0.851 0.881 0.917 0.980
Emotional & Psychological Distress0.325 -2.867 0.599 0.374 2.000 0.615 0.697 1.583 0.980
Social Identity, Stigma & Self-Image0.415 -2.967 0.722 0.937 -0.222 0.977 0.644 2.667 0.980
Pelvic pain 0.041 -1.667 0.431 0.265 -0.778 0.580 0.242 0.917 0.980
Dysmenorrhea 0.078 -2.000 0.489 0.064 -2.556 0.224 0.088 -2.833 0.980
Dyspareunia 0.867 -0.200 0.985 0.151 -1.333 0.393 0.657 -0.833 0.980
Dysuria 0.220 -1.333 0.574 0.348 -1.333 0.605 0.242 -0.833 0.980
Dyschezia 0.855 0.133 0.985 0.597 -0.556 0.751 0.467 0.833 0.980
Ultrasound Enzian Score 0.041 -3.067 0.431 0.049 -2.079 0.218 0.275 -0.500 0.980
Physical & Functional Impact 0.178 -1.867 0.553 0.030 -7.270 0.218 0.485 3.500 0.980
Symptom Burden & Perceived Control0.119 -1.600 0.496 0.014 -5.651 0.213 0.911 -0.583 0.980
Emotional & Psychological Distress0.257 -2.133 0.596 0.037 -4.762 0.218 >0.999999 0.000 >0.999999
Social Identity, Stigma & Self-Image0.105 -2.600 0.496 0.045 -5.746 0.218 0.892 -0.750 0.980
12 Months Follow Up
Ovarian endometriosis Deep endometriosis Peritoneal endomeriosis
Diagnosis
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Supplementary Figure 1: Pain association
A B
All Ovarian
endometriosis
Deep
endometriosis
Peritoneal
endometriosis
N 13 7 3 3
Pelvic pain 2.6 +/- 2.1 2.6 +/- 2 1.7-/+2.1 3.7 +/- 2.5
Dysmenorrhea 5.4 +/- 3.3 4.4 +/-3.9 8 5 +/- 2.6
Dyspareunia 2.5 +/- 2.8 3.3 +/-3.4 0.3 +/- 0.6 2.7 +/- 1.5
Dysuria 0.7 +/- 1.2 0.8 +/- 1.6 0.3 +/- 0.6 0.7 +/- 0.6
Dyschezia 0.5 +/- 0.8 0.4 +/- 0.8 0.7 +/- 1.2 0.3 +/- 0.6
Sum 11.6 +/- 2.6 11.6 +/- 2.5 11 +/- 2.6 12.3 +/- 3.8
N 13 3 8 2
Pelvic pain 2.2 +/- 1.6 1.7 +/-2.1 1.9 +/- 0.8 4.5 +/- 2.1
Dysmenorrhea 7.8 +/- 1.5 7.3 +/- 1.5 7.6 +/- 1.5 9.5 +/- 0.7
Dyspareunia 3.7 +/- 3.6 3.3 +/- 3.1 2.5 +/- 3.1 9
Dysuria 3.1 +/- 2.9 4 +/- 4 2.5 +/- 2.8 4 +/- 2.8
Dyschezia 5 +/- 3.6 3 +/- 3 5.1 +/- 4 7.5 +/- 0.7
Sum 21.8 +/- 6.2 19.3 +/- 3.2 19.6 +/- 3.1 34.5 +/- 0.7
Low pain
High pain
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