View clinical trials related to Endometriosis.
Filter by:To evaluate the diagnostic efficiency of circulating endometrial cell detection method using microfluidic chip as an non-invasive method for diagnosis in endometriosis.
The goal of this clinical trial research study is to evaluate the impact of preoperative oral immunonutrition (IN) on post-operative complications in patients undergoing a cystectomy. As a secondary focus, this study will aim to develop a signature that would identify patients that would benefit the most from IN. This is a multicentric (Swiss: N=3), prospective, controlled, pragmatic, parallel-group comparative study with block randomization stratified by centers.
Endometriosis is a difficult disease to diagnose because the symptoms are varied, unspecific and inconsistent from one patient to another. Magnetic resonance imaging is the gold standard for the diagnosis, staging and follow-up of this pathology. Moreover, the management of endometriosis can be medical or surgical depending on the severity and location of the lesions and the patient's expectations. The recommendations of the National College of Obstetricians and Gynecologists and the French National Health Authority are medical treatment first in a certain number of situations. These patients undergoing medical treatment then require close clinical and radiological follow-up in order to evaluate the effectiveness of the treatment and the evolution of the disease. The literature describes the appearance of endometriosis lesions on pelvic MRI quite well for the establishment of the diagnosis, but there are few data on the evolution and imaging description of these lesions when hormonal treatment is in progress. Thus, we decided to evaluate and describe the evolution of endometriosis lesions on magnetic resonance imaging under medical treatment and to examine a correlation between this radiological evolution and the clinical evolution of the patients.
This prospective pilot study was performed to explore the influence of a dietary intervention, the Low FODMAP diet or endometriosis diet, on endometriosis-related pain and Quality of Life (QoL). Participants could choose between adherence to a diet; the Low FODMAP diet or endometriosis diet, or to contribute to the control group and not adhere to a diet.
This study is testing a way to diagnose endometriosis using a uterine tissue biopsy (similar to a pap smear) as opposed to undergoing laparoscopy surgery. The tissue is sent to lab for cellular analysis with a proprietary AI (artificial intelligence) technology.
The aim of this study is to evaluate the efficacy between dienogest and danazol.
Endometriosis is a chronic disease affecting 1 in 10 women. Its diagnosis is difficult and the time between the first symptoms and diagnosis is of about 7 years. diagnosis requires specialized imaging performed by referral practitioners for this pathology. According to current recommendations, non-specialized pelvic ultrasound is the recommended first-line examination. However, only reference ultrasound, performed by a doctor specialized in the disease and carried out according to a specific protocol (such as UBESS), is sufficiently reliable for diagnosis. The number of practitioners performing this type of examination is very low in France, which in practice results in a very low reliability of this strategy in real life. Pelvic MRI is also a much more reliable examination, available for review. However its access is limited. In addition, the false positive rate can be as high as 20%, particularly for minor forms of the disease. The DEVA algorithm has been developed for the identification of women with endometriosis based on a self-administered pelvic pain symptom questionnaire (ENDOPAIN). In a preliminary study, this algorithm seems reliable for identify patients at high risk of this disease and would thus allow to triage patients requiring patients requiring an immediate MRI in order to shorten diagnostic delays. External validation of the algorithm is therefore necessary before clinical use. The main objective od this study is the prospective external validation of the diagnostic reliability of the DEVA algorithm used for the detection of women with endometriosis (visible on MRI or transvaginal ultrasound).
This is a single-center, retrospective case-control study. All consecutive women who underwent classic and nerve-sparing segmental rectosigmoid resection between January 2005 and June 2022 will be included. In the majority of cases classic segmental rectosigmoid resection was done between January 2005 and December 2010. Nerve-sparing segmental rectosigmoid resection has been increasingly employed since January 2011 until now. Preoperative (anamnestic, physical objective, and ultrasonographic data), surgical and postoperative data of the patients included in this study will be analyzed. In particular, postoperative data will be obtained by analyzing reports of follow-up visits, which are routinely done at our institution at 1, 6, 12 months and then every year following the surgical procedures.
The objective of this study will be to evaluate treatment using ET exercise and pain education in women with endometriosis to improve pain intensity.
The study targets to evaluate the role of estimation of plasma expression levels of gene of microRNAs 203 and 210 in helping to diagnose and grade endometriosis. The study included women with unexplained infertility and clinical picture suggestive of presence of endometriosis were divided randomly into two groups: Control and study groups. All patients underwent exploratory laparotomy for diagnosis and grading of endometriosis if present. Patients of study group gave blood samples for estimation of plasma expression levels of microRNA 203 and 210 using qRT-PCR procedure.