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NCT00531570 · ClinicalTrials.gov registry record
Microvascular Ultrasonographic Imaging for the Detection of Early Stage Epithelial Ovarian Carcinoma
A clinical trial of Ovarian Neoplasms, sponsored by NYU Langone Health.
- Completed
- Registry status
- 100
- Enrollment target
- 1
- Study location
NCT00531570 is a study of Ovarian Neoplasms that has completed, run by NYU Langone Health. The registered enrollment target is 100 participants, below the 365-participant average among 38 other Ovarian Neoplasms trials with a reported enrollment target (73% lower). The trial reports 1 study location across 1 state.
The verdict
NCT00531570, a study of Ovarian Neoplasms, has completed, sponsored by NYU Langone Health.
- COMPLETED
- Registry status
- 100 participants
- Enrollment target
- 1
- Study location
Study Summary
In the United States, ovarian cancer is the fifth most common cancer to develop in women and causes more deaths than all other gynecologic malignancies combined. Because of the difficulties in detecting early stage ovarian cancer, 75% of women continue to be diagnosed with advanced stage disease (stage III or IV). The National Ovarian Cancer Early Detection Program (NOCEDP) as part of the National Cancer Institute's Early Detection Research Network (EDRN) is committed to the development of effective means for the accurate detection of early stage ovarian cancer. The last decade has seen rapid technological advances in diagnostic ultrasonography with the recent development of three-dimensional imaging. Initial studies suggest that these new technologies improve upon the diagnostic accuracy of two-dimensional transvaginal imaging in the differentiation between benign and malignant pathology. This improved diagnostic accuracy may promote improved patient care by separating complex benign masses from ovarian cancer therefore facilitating appropriate treatment.
Conditions Studied
Study Locations (1)
New York
- NYU Cancer Institute - New York
Trial Details
| Field | Value |
|---|---|
| Enrollment Target | 100 participants |
| Start Date | 2005-02 |
| Est. Completion | 2009-04 |
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Full Details on ClinicalTrials.gov ↗What the Registry Record Tells You About NCT00531570
The ClinicalTrials.gov registry entry for NCT00531570 describes a study currently listed as completed, categorized as an unspecified phase. The registered enrollment target is 100 participants, a figure that helps gauge the scale of data the investigators plan to collect, below the 365-participant average among 38 other Ovarian Neoplasms trials with a reported enrollment target (73% lower). The listed sponsor is NYU Langone Health, which has 1,164 total studies on file at ClinicalTrials.gov.
The record links to 1 condition, with Ovarian Neoplasms appearing as the primary indexed condition, and to 0 interventions.
NCT00531570 reports 1 study location spanning 1 distinct geographic area - top geographies include New York.
Frequently Asked Questions
What is clinical trial NCT00531570 about?
NCT00531570 is a clinical study titled "Microvascular Ultrasonographic Imaging for the Detection of Early Stage Epithelial Ovarian Carcinoma". In the United States, ovarian cancer is the fifth most common cancer to develop in women and causes more deaths than all other gynecologic malignancies combined. Because of the difficulties in detecting early stage ovarian cancer, 75% of women continue to be diagnosed with advanced stage disease (st...
What is the current status of trial NCT00531570?
This trial is currently completed. The enrollment target is 100 participants. The study started on 2005-02. Estimated completion is 2009-04.
What conditions does trial NCT00531570 study?
This clinical trial studies the following conditions: Ovarian Neoplasms.
Who is sponsoring clinical trial NCT00531570?
This trial is sponsored by NYU Langone Health, which has 1,164 total clinical trials registered on ClinicalTrials.gov.
Where is trial NCT00531570 being conducted?
This trial has 1 study location across New York. Contact the study sites directly through ClinicalTrials.gov for enrollment availability.
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Read our methodology - how this data is sourced, computed, and verified.
Related
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