View clinical trials related to Endometriosis.
Filter by:This study relies on the use of a smartphone application (SOMA) that the investigators developed for tracking daily mood, pain, and activity status in acute pain, chronic pain, and healthy controls over four months.The primary goal of the study is to use fluctuations in daily self-reported symptoms to identify computational predictors of acute-chronic pain transition, pain recovery, and/or chronic pain maintenance or flareups. The general study will include anyone with current acute or chronic pain, while a smaller sub-study will use a subset of patients from the chronic pain group who have been diagnosed with chronic low back pain, failed back surgery syndrome, or fibromyalgia. These sub-study participants will first take part in one in-person EEG testing session while completing simple interoception and reinforcement learning tasks and then begin daily use of the SOMA app. Electrophysiologic and behavioral data from the EEG testing session will be used to determine predictors of treatment response in the sub-study.
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 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).
The objective of this study will be to evaluate treatment using ET exercise and pain education in women with endometriosis to achieve improvement in quality of life.
To goal of this study is to determine whether laparoscopic resection of colorectal endometriosis results in an increased cumulative live birth rate (CLBR) both spontaneous and after ART (including in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI), and better patient reported outcome measures (PROMs) compared to an IVF/ICSI treatment trajectory.
The objective of this work is to conduct a randomized, double-blind, placebo-controlled clinical trial to assess the efficacy and safety of cannabis extract in women with endometriosis who have already undergone hormonal contraceptive treatment and surgery without satisfactory response.
This is a Phase 3, multicenter, double-blind, placebo-controlled, randomized study to assess the safety and efficacy of elagolix versus placebo in premenopausal 18 to 49 year old women with moderate to severe endometriosis-associated pain.