- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03982914
The Use of HE4 With Simple Ultrasound Rules to Predict Malignancy in a Pelvic Mass
The Use of a New Biomarker, HE4, in Combination With Simple Ultrasound Rules in the Prediction of Malignancy in a Pelvic Mass Detected on Ultrasound
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.
Study Overview
Status
Conditions
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Hong Kong, Hong Kong
- Queen Mary Hospital
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Hong Kong, Hong Kong
- United Christian Hospital
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Hong Kong, Hong Kong
- Pamela Youde Nethersole Eastern Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Women over the age of 18
- Found to have a pelvic mass on ultrasound, MRI, CT or PET scan
- Scheduled for operation (laparoscopic or open) for a pelvic mass (including ovarian cystectomy and oophorectomy)
- Women who would understand the informed consent
Exclusion Criteria:
- Women who refused a transvaginal scan
- Pregnant women
- Surgical removal is delayed for more than 120 days from the date of the ultrasound examination
- Previous history of ovarian, peritoneal or fallopian tube cancer or unknown malignancy
- History of bilateral oophorectomy
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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sensitivity, specificity and predictive powers
Time Frame: 3 months after last subject enrolled
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The group of women with inconclusive IOTA assessment will undergo further assessment by both tumour markers assessment by ROMA (Strategy A) and expert ultrasound (Strategy B).
The prediction of risk of malignancy (high or low) will be correlated with the final histopathology result from the surgery.
The sensitivity, specificity and predictive powers for the 2 strategies will be compared.
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3 months after last subject enrolled
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Best method for predicting malignancy in pelvic mass in HK
Time Frame: 3 months after last subject enrolled
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The sensitivity, specificity and predictive powers for 4 different predicting methods - (i) IOTA simple rules followed by ROMA (if IOTA inconclusive), (ii) IOTA simple rules followed by expert ultrasound assessments (if IOTA inconclusive), (iii) ROMA, or (iv) RMI will be compared.
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3 months after last subject enrolled
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Accuracy of these 4 different prediction methods in different hospital settings
Time Frame: 3 months after last subject enrolled
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The sensitivity, specificity and predictive powers for these 4 different prediction methods for the 3 hospitals will be compared and factors influencing the accuracy will be explored.
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3 months after last subject enrolled
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Performance of IOTA simple rules followed by ROMA (if IOTA inconclusive) in different histological subtypes
Time Frame: 3 months after last subject enrolled
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Since the tumour markers assessed by ROMA may be more commonly raised in some subtypes (eg serous adenocarcinoma) compared to other subtypes (eg mucinous adenocarcinoma), it is possible that the performance of IOTA followed by ROMA may differ in different histological subtypes.
The final histological subtypes will be obtained from the pathology reports from the surgery.
The sensitivity and specificity of IOTA followed by ROMA will be compared amongst the different major histological subtypes.
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3 months after last subject enrolled
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Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- UW 17-551
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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