ClinicalTrials.gov
public full text
Public Domain
Ultrasound Microvessel Imaging for the Evaluation of Ovarian and Adnexal Lesions
This clinical trial studies how well ultrasound microvessel imaging (UMI) works in evaluating ovarian and adnexal lesions in patients who are scheduled to have surgical treatment for their ovarian or adnexal lesions as part of their clinical care. Ovarian cancer is the most lethal gynecologic malignancy, often diagnosed at an advanced stage. Current diagnostic tools include a blood test (serum cancer antigen 125 \[CA125\]) and transvaginal ultrasound. However, CA125 has limited diagnostic accuracy and is Food and Drug Administration-approved only for monitoring the return of cancer (recurrence), not for preoperative diagnosis. A key measurement in calculating ovarian and adnexal cancer risk is by looking at increased blood flow, which may suggest a higher risk of cancer developing. However, current ultrasound techniques have limited ability to assess blood flow. A new ultrasound technique, UMI, may have higher sensitivity for detecting small blood vessels compared to traditional ultrasound imaging.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- HERCULES: Ultrasound-Based Liver Involvement Classification in Ovarian Cancer#1153386
- The Relationship Between Cardiac Output and Microvascular Visceral Blood Flow#831423
- Impact of Systematic Imaging for Follow up of Patients With Ovarian, Fallopian Tube or Primary Peritoneum Cancer#1112113
- Application of Super-Resolution Ultrasound (SRUS) in Liver Tumor#1103293
- Role of Three Dimensional Ultrasound in the Diagnosis of Septate Uterus#896724
Record · ID 1093565
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive