Loading clinical trials...
Loading clinical trials...
Showing 1-8 of 8 trials
NCT06913335
The aim of this study is to compare between the effect of using electrosurgical energy and hemostatic sealant for hemostasis in laparoscopic cystectomy for ovarian cysts.
NCT02831556
Summary 1. Purpose and Objective: The purpose of this study is to test the feasibility of rapid acquisition of point of care 3D ultrasound in obtaining abdominal and/or pelvic images. The study will use a newly developed acquisition method and post-processing technique to create three dimensional image models of the abdomen and/or pelvis. 2. Study activities and population group. The study population will be a convenience sample of patients of any age presenting to the Emergency Department with complaints necessitating a clinical abdominal and/or pelvic imaging. The study intervention includes acquisition of research ultrasound images, which will not be used for clinical care, and comparison of these images with clinically obtained images. Other clinical data such as surgical and pathology reports will also be reviewed. 3.Data analysis and risk/safety issues. This is a pilot study intended to determine feasibility and to refine image reconstruction algorithms. Research images will be compared to clinical images. Comparison of research images with final diagnosis will also occur. The research intervention, an ultrasound exam, has no known safety risks. The only risk to subjects is loss of confidentiality. This study is observational, not interventional, because the experimental ultrasound will be performed in all subjects and will not be used in the clinical care of patients (consequently, will not have the opportunity to affect clinical outcomes). Experimental images will be reviewed after completion of clinical care and will not be provided to the clinicians caring for the subjects. The investigators are not measuring the effect of the ultrasound examination on the subjects' outcomes.
NCT06342934
The correct differential diagnosis between benign and malignant adnexal masses is the main goal of preoperative ultrasound diagnostics and is very important to plan the correct treatment for the patient in terms of surgical team (gynecologist oncologist or benign pathology center), surgical access (laparoscopy / laparotomy) and type of surgery (conservative / demolitive). Several ultrasound models have been developed to help gynecologists define the risk of malignancy of adnexal masses. In order to use the predictive models, the examiner had to collect certain ultrasound features of the lesion which, integrated with the patient's clinical and / or biochemical characteristics, provided a risk of malignancy of the mass. Recently radiomics is emerging as an interesting tool to be applied to diagnostic imaging (computed tomography, magnetic resonance and even ultrasound). Radiomics is the evaluation of images through complex software that allows to 'read' the intrinsic characteristics of the tissue identifying aspects that are not visible by subjective interpretation of the operator, in a fully automated and therefore reproducible way. Radiomics applied to artificial intelligence for the creation of predictive models represents an interesting tool to overcome the limitations of previous models, at least partly dependent on the operator's experience. Among the serous ovarian cancer, those with BRCA gene mutation represent an interesting subgroup and are characterized by a different pathophysiological history than wild type tumors due to greater chemosensitivity and the possibility of targeted treatment with antiangiogenic drugs and PARP-inhibitors. The application of radiomics to preoperative ultrasound images could identify BRCA mutated tumors before surgical planning (radiogenomic analysis) and allow a personalized treatment. The aim of the study is to validate a predictive model to define the risk of malignancy of adnexal masses that the investigators developed at the Fondazione IRCCS Istituto Nazionale dei Tumori di Milano. The model, based on the integration of radiomics and artificial intelligence, uses complex software capable of 'reading' the ultrasound images in a completely automatic way and is able to estimate the risk of malignancy of the mass. If the patient decide to participate in the clinical study, the patient will undergo transvaginal ultrasound (eventually supplemented by transabdominal ultrasound in case of large adnexal masses, if the patients are virgo or if the patients will refuse transvaginal approach for any reason). This exam is part of the routine preoperative evaluation for adnexal pathology and therefore the patients don't have to undergo any additional clinical, biochemical or imaging examination, according to national and international guidelines. Thereafter, the images stored during the preoperative ultrasound will be exported in anonymous format from the ultrasound system, and sent to the coordinating center (Fondazione IRCCS Istituto Nazionale dei Tumori di Milano). There, images will be submet to radiomic analysis through the application of a dedicated software; that will allow to evaluate the intrinsic characteristics of the tissue according to different parameters (shape, intensity, grade of heterogeneity and many others) of the 'pixels' (gray dots) that constitute the ultrasound image. This analysis, once validated, will provide clinicians an additional tool to identify malignant adnexal masses prior to surgery. If the final histological diagnosis is of serous epithelial ovarian cancer, through the use of the same radiomics software described above the investigators will try to identify the intrinsic characteristics of the tissue associated with the presence or absence of the BRCA 1 or 2 mutation
NCT05418595
The most common endocrine condition in reproductive women is polycystic ovary syndrome. It has a prevalence of 5-10%. According to the Rotterdam criteria, oligo/anovulation, clinic or biochemical hyperandrogenism, PCOS morphology in ultrasonography, and the presence of these two criteria are required for diagnosis. The echogenicity of the ovarian stroma, vascularity, ovarian size, cystic pattern density, and subcortical organization of cysts are all significant considerations in ultrasonographic evaluation.
NCT01698632
The purpose of this study is to learn more about the appearance and behavior of benign-looking adnexal masses. * Benign-looking means that when viewed here by ultrasound it has the appearance of looking not harmful or not malignant. * Adnexal refers to the 'adnexa', the space in the female pelvis on either side of the uterus (or where the uterus used to be if you previously had a hysterectomy). The adnexa includes, but is not limited to, the ovaries and the fallopian tubes. * Masses refers to a variety of structures, including but not limited to: * ovarian cysts that are fluid filled sacs within or attached to an ovary * ovarian tumors that can be solid tissue or a combination of cysts and solid tissue * hydrosalpinges that are fluid collections in the fallopian tube Many women have what appear to be benign adnexal masses. Many times, removal of the masses with surgery is not necessary. Often surgery is performed unnecessarily, for fear that these masses could be cancer. There is not much information available for doctors to know how and when to follow these masses, or which ones will become cancer. This study will combine information from centers all around the world regarding the behavior of all types of benign adnexal masses. The aim of this study is to develop decision tools for doctors to know the best way to treat these masses in order to improve the detection of ovarian cancer while at the same time reduce the number of unnecessary operations.
NCT02086318
To collect data of clinical, biochemical and 3D-ultrasonographic parameters of a population of fertile women aged 18-55 in order to design a new algorithm able to predict ovarian age and to evaluate the reliability of a multimodal diagnostic evaluation of ovarian age in term of both reproductive prognosis and distance to menopause following the guidelines of the Standards for Reporting of Diagnostic Accuracy initiative (STARD)
NCT00865488
The objective of this study is to evaluate the safety and efficacy of ADHEXIL™ in preventing and/or reducing post-operative adhesions in patients undergoing surgery involving the ovaries.
NCT00713778
The purpose of this study is to investigate the impact of electrocoagulation on ovarian reserve after laparoscopic excision of ovarian cyst and the possible mechanisms.