Research and Application of Ultrasonic Intelligent Diagnosis System for Ovarian Mass

Launched by ZHEJIANG PROVINCIAL PEOPLE'S HOSPITAL · Jul 25, 2024

Keywords

ClinConnect Summary

This clinical trial is looking at a new system that uses ultrasound technology to help doctors automatically detect ovarian masses, which are abnormal growths on the ovaries. The goal is to improve the way these masses are diagnosed and assessed by using advanced imaging techniques. This trial is specifically for women who have been found to have a persistent ovarian tumor during a routine ultrasound and who will undergo surgery to confirm the diagnosis through laboratory tests.

To be eligible for this trial, participants must have a confirmed ovarian mass that needs further investigation. However, women with tumors that are not from the ovaries or have unclear results from previous tests may not be included. During the study, participants can expect to undergo advanced ultrasound examinations, and their images will be analyzed to see how well this new system works. This trial is currently not recruiting participants, so there are no active enrollments at this time.

Gender

FEMALE

Eligibility criteria

• Inclusion Criteria:
• • 1. During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found.
• • 2. The patient underwent surgical treatment and the histopathological results.
• Exclusion Criteria:
• • 1. Histopathological analysis confirms non-ovarian tumor;
• • 2. Histopathological results are inconclusive;
• • 3. Issues with image quality: the ovarian mass is incomplete and does not show some surrounding tissues (but the mass is too large to exclude completely); the images are overly blurry, making it difficult to determine the characteristics of the ovarian mass (possible reasons include hardware quality issues with the ultrasound machine, motion blur, focusing problems, presence of intestinal gas in the patient); gain settings make it difficult to judge the characteristics of the ovarian mass (such as low contrast, excessively dark images, or saturation); the presence of artifacts affects the assessment of ultrasound characteristics of the ovarian mass and should be excluded.