View clinical trials related to Endometriosis.
Filter by:GynRAN is an international, multicentre, transversal, diagnostic and non-interventional study carried out in gynecology-obstetrics/gynecological oncology departments that aims to identify a diagnostic signature for gynecological pathologies by analyzing of coding and non-coding RNA contained in patients saliva. The study population consists of patients with clinically symptomatic females with one or more of the gynecological pathologies (endometriosis, adenomyosis, ovarian cysts, fibroids, ovarian/cervical/uterine cancer) and asymptomatic females. The patients concerned by the study will be managed without modification of the care pathway, nor modification of the therapeutic indications, nor modification of the diagnostic or follow-up examinations necessary according to the context, which are carried out according to the local recommendations.
This study aims to determine if PET/MRI can detect endometriosis and potentially improve upon currently available non-invasive diagnostic capabilities. Specifically, the authors will investigate the ability of PET/MRI to detect and quantify endometriosis, as well as differentiate among subcategories such as inflammatory peritoneal lesions, fibrotic deep infiltrating endometriosis lesions (DIE), and ovarian endometriomas. The authors will compare [68Ga]CBP8 or [18F]-FAPI-74 PET/MRI imaging versus the current gold standard diagnostic methods, including laparoscopic surgery, clinical follow-up, and follow-up imaging.
This will be a clinical interventional longitudinal study, without pharmacological intervention/device evaluation. A control group would however be recruited for secondary objective 1 and 2. The study is classified as interventional, as Fusobacterium detection is not part of the routine management of these patients; from the patients' point of view, participation in the study will involve the execution of additional vaginal and cervical swabs as additional procedure, while the endometrial biopsy will not represent an additional examination, as the study will include only patients for whom this examination is expected as per normal clinical practice.
National multicentric registry of a cohort of patient with suffering parietal endometriosis, carried out by a multidisciplinary radiosurgery team
The study is being completed to evaluate the effectiveness of a web-based, self-management program for patients with Chronic Pelvic Pain (CPP). The overall hypothesis is that patients with chronic pelvic pain that have access to the My Pelvic Plan program will demonstrate improvements in pain, physical function, and quality of life with this integrative self-management approach.
The goal of this clinical trial is to investigate the effect of an anti-inflammatory diet intervention on health related quality of life and pain symptoms in women with endometriosis. And whether the addition of CBT enhancing this effect. The secondary objective is to investigate the effect of an anti-inflammatory diet on inflammatory characteristics in serum and menstruum samples as well as the effect on the gut and vaginal microbiome. Participants will be randomized between standard care (control group), standard care and an anti-inflammatory diet, or standard care, anti-inflammatory diet and cognitive behavioral therapy. Participants will follow an anti-inflammatory diet based on the Dutch Dietary Guidelines for 12 weeks. They will receive personalized dietary advice from a dietician and recipes will be available. cognitive behavioral therapy will be administered in a total of seven individual sessions led by a psychotherapist. The content of these sessions will be psycho-education regarding pain mechanisms and diet.
Endometriosis is a chronic gynaecological disease characterised by the growth of endometrium outside the uterus. It affects 10% of childbearing age women. There is no cure for endometriosis. Hormonal treatments should be the first line therapy. The benefit-risk ratio of symptomatic treatment with hormone therapy varies greatly from one woman to another. The pathophysiology of endometriosis and the mechanisms of action of these treatments are still poorly understood. This may be due to the lack of an optimal experimental model for studying the disease. The aim of this project is to develop a complex ex vivo endometrial model recapitulating the organisation and properties of the human endometrium using innovative tissue bioengineering methods. This model will make it possible to develop a pre-clinical approach that predicts individual response to different types of hormonal treatment in order to optimise therapeutic choices and provide a better understanding of the effects of these treatments.
Endometriosis, a condition where endometrial-like tissue grows outside the uterus, often occurs due to retrograde menstruation, where menstrual blood flows backward through the fallopian tubes into the pelvic cavity. This tissue can then implant and grow within the pelvic peritoneum. The survival of these ectopic implants leads to chronic inflammation, adhesion formation, and scarring of surrounding tissues, including the ovaries and fallopian tubes. Symptoms include cyclic pelvic pain, dysmenorrhea, dyspareunia, and infertility. Ectopic endometrial tissue survival is not attributed to mutations but rather epigenetic changes. Studies have linked this phenomenon to genes such as KRAS (Kirsten Rat Sarcoma Virus Oncogene), involved in cell proliferation and survival. Dysregulated KRAS activity can lead to increased production of MMP-2 and MMP-9 proteins, implicated in angiogenesis and tissue invasion, facilitating the spread of endometrial tissue. Vitamin D has been shown to modulate immune function and reduce inflammation. Studies suggest that vitamin D deficiency may exacerbate endometriosis symptoms and severity. However, evidence regarding the efficacy of vitamin D supplementation in managing endometriosis symptoms is mixed. One study found that long-term intake of vitamin D-rich foods was associated with an 18% lower risk of developing endometriosis. Additionally, vitamin D deficiency has been correlated with increased expression of mutated KRAS in colorectal cancer patients, suggesting a potential link between vitamin D status and genetic abnormalities in disease progression. Further research is needed to fully understand the relationship between vitamin D deficiency and endometriosis severity, particularly in specific populations like the Thai population.
The goal of this observational study is to identify diagnostic and prognostic biomarkers for endometriosis using menstrual blood, an easily accessible yet overlooked biological fluid in women of reproductive age, affected or not by endometriosis The main questions it aims to answer are: - are there relevant differences in the menstrual blood of women affected by endometriosis compared to women without endometriosis? - do some of these differences disappear or lessen when the disease is treated by surgery? Participants will answer questions relevant to endometriosis and provide menstrual blood 1 to 3 times (self-collected with a menstrual cup). A subgroup of participants affected by endometriosis that will undergo surgery for their regular care will provide menstrual blood before and after their surgery. Researchers will compare the menstrual blood of women with and without endometriosis, and before and after surgery to see if they can identify significant differences.
Endometriosis is a gynecologic condition where there is growth of endometrial-like tissue outside the uterus, leading to severe pelvic pain. Despite conventional treatment, many patients experience persistent pelvic pain due to central sensitization (CS), where the central nervous system amplifies pain signals. Quantitative Sensory Testing (QST) enables objective testing of CS. However, there are several patient-reported questionnaires that have shown promising potential as subjective proxies of CS. Therefore, in this study, our objective is to validate six patient-reported questionnaires as measures of CS by comparing them to each other and determining whether each questionnaire correlates with QST thresholds.