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Review
. 2021 Nov 25:12:745548.
doi: 10.3389/fendo.2021.745548. eCollection 2021.

Pathogenesis Based Diagnosis and Treatment of Endometriosis

Affiliations
Review

Pathogenesis Based Diagnosis and Treatment of Endometriosis

Philippe R Koninckx et al. Front Endocrinol (Lausanne). .

Abstract

Understanding the pathophysiology of endometriosis is changing our diagnosis and treatment. Endometriosis lesions are clones of specific cells, with variable characteristics as aromatase activity and progesterone resistance. Therefore the GE theory postulates GE incidents to start endometriosis, which thus is different from implanted endometrium. The subsequent growth in the specific environment of the peritoneal cavity is associated with angiogenesis, inflammation, immunologic changes and bleeding in the lesions causing fibrosis. Fibrosis will stop the growth and lesions look burnt out. The pain caused by endometriosis lesions is variable: some lesions are not painful while other lesions cause neuroinflammation at distance up to 28 mm. Diagnosis of endometriosis is made by laparoscopy, following an experience guided clinical decision, based on history, symptoms, clinical exam and imaging. Biochemical markers are not useful. For deep endometriosis, imaging is important before surgery, notwithstanding rather poor predictive values when confidence limits, the prevalence of the disease and the absence of stratification of lesions by size, localization and depth of infiltration, are considered. Surgery of endometriosis is based on recognition and excision. Since the surrounding fibrosis belongs to the body with limited infiltration by endometriosis, a rim of fibrosis can be left without safety margins. For deep endometriosis, this results in a conservative excision eventually with discoid excision or short bowel resections. For cystic ovarian endometriosis superficial destruction, if complete, should be sufficient. Understanding pathophysiology is important for the discussion of early intervention during adolescence. Considering neuroinflammation at distance, the indication to explore large somatic nerves should be reconsidered. Also, medical therapy of endometriosis has to be reconsidered since the variability of lesions results in a variable response, some lesions not requiring estrogens for growth and some being progesterone resistant. If the onset of endometriosis is driven by oxidative stress from retrograde menstruation and the peritoneal microbiome, medical therapy could prevent new lesions and becomes indicated after surgery.

Keywords: endometriosis; endometriosis diagnosis; endometriosis natural history; endometriosis prevention; endometriosis surgery; endometriosis treatment.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The natural history of endometriosis. In susceptible women, additional G-E incidents (driven by oxidative stress from retrograde menstruation and infection) induce clonal and heterogenous hetrogeneous (aromatase and progesterone resistance) lesions, which develop in the peritoneal cavity which is a specific microenvironment. Inhibition of growth by progressive fibrosis (because of immunology and bleeding in the lesions) results in variable severity of lesions.
Figure 2
Figure 2
The volume of deep endometriosis lesions (cm3) does not vary between 24 and 50 years, for women without, with one or more than 1 child. The least-square regression analysis with 95% confidence limits indicate women without children. In the insert, the boxplots of women with 0, 1 or >1 children demonstrated the absence of a difference between the 3 groups (58).
Figure 3
Figure 3
Pain at distance.
Figure 4
Figure 4
The Clincal diagnosis is an art. History, symptoms, clinical exam and imaging are combined by the clinician into a series of probabilities for the many potential diagnoses. This integration aided by experience could theoretically be replaced by the calculation of the combined predictive values, with their margins of error and confidence limits, of each test for each potential diagnosis.

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