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Pelvic Mass clinical trials

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NCT ID: NCT03982914 Active, not recruiting - Pelvic Mass Clinical Trials

The Use of HE4 With Simple Ultrasound Rules to Predict Malignancy in a Pelvic Mass

Start date: April 1, 2018
Phase:
Study type: Observational

Our objective is to determine if the combination of simple ultrasound features (IOTA simple rules) and a new biomarker (HE4) together with a common tumour marker (CA 125) can accurately predict ovarian cancer in women found to have a pelvic mass on ultrasound. The investigators hypothesize that the use of two biomarkers (HE4 and CA 125) in a mathematical algorithm (Risk of Malignancy Algorithm, ROMA) can be used to predict malignancy in a pelvic mass which has indeterminate ultrasound features. This is a prospective cohort study involving women undergoing operation for a pelvic mass. 720 women scheduled to have an operation to remove a pelvic mass would be recruited from 3 hospitals (QMH, UCH and PYNEH). Pre-operatively, each woman will have an ultrasound assessment using the IOTA simple rules criteria and have blood taken for tumour markers HE4 and CA 125. In women where IOTA ultrasound rules are inconclusive, 2 strategies for prediction will be compared - calculation of risk by ROMA (Strategy A) vs referral for an expert ultrasound (Strategy B). These pre-operative risk predictions will be correlated with the final pathology found at the operations. Main outcome measures include the sensitivity, specificity, positive and negative predictive powers for Strategy A compared to Strategy B. Sensitivity and specificity will be compared using the McNemar test. Area Under the ROC Curve (AUC) will be calculated and compared using the Delong method for the 2 strategies. The investigators expect AUC of both strategies will be similar. This would suggest that ROMA can replace expert ultrasound in the pre-operative prediction of ovarian cancer.

NCT ID: NCT03837327 Completed - Ovarian Cancer Clinical Trials

Clinical Validation of the InterVenn Ovarian CAncer Liquid Biopsy

VOCAL
Start date: April 16, 2019
Phase:
Study type: Observational

Venn Biosciences Corporation ("InterVenn") has developed a liquid biopsy that is capable of distinguishing benign from malignant masses in women presenting with adnexal (pelvic) masses, through a simple blood test. The underlying technology combines mass spectrometry and artificial intelligence/machine learning to analyze tumor-associated changes in circulating glycoproteins. The purpose of this study is to prospectively collect de-identified biological samples and data from women with a known pelvic mass, in order to validate ovarian cancer specific glycoproteomic signatures in the blood based on histologically confirmed malignancy status of the mass.

NCT ID: NCT03128866 Recruiting - Pelvic Mass Clinical Trials

Tranexamic Acid in Reducing Blood Loss in Patients With Pelvic Tumors Undergoing Hemipelvectomy Surgery

Start date: May 19, 2017
Phase: Early Phase 1
Study type: Interventional

This early phase I trial studies how well tranexamic acid works in reducing the loss of blood in patients with pelvic tumors undergoing hemipelvectomy surgery. Tranexamic acid decreases blood loss by stabilizing clots and preventing clot lysis in patients undergoing surgery.

NCT ID: NCT01463462 Completed - Clinical trials for Pelvic Organ Prolapse

Electronic Catheter Stethoscope

Start date: February 2011
Phase: N/A
Study type: Observational

This is an observational, exploratory study designed to collect (record) and analyze normal and abnormal sound data from the human bladder during surgery using a novel sensor-based catheter system (Electronic Catheter Stethoscope) and to develop algorithms to detect changes of baseline bladder and ureteral function. The Electronic Catheter Stethoscope device will measure acoustic and pressure data within the bladder. The measurements will be used to detect any leakage from the bladder and/or changes in baseline ureteral flow by correlation of sound data with surgical data reported by the surgeon. These data will be used to develop algorithms to detect changes of baseline bladder and ureteral function. The algorithms will be tested in future clinical trials.