Not Yet RecruitingNot Applicable

Research and Application of Ultrasonic Intelligent Diagnosis System for Ovarian Mass

100,000 participantsStarted 2024-07-30

Plain-language summary

Research on automatic detection of ovarian mass and intelligent auxiliary diagnosis system based on multimodal ultrasound images.

SexFEMALE

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

✓. During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found.
✓. The patient underwent surgical treatment and the histopathological results.

✕. Histopathological analysis confirms non-ovarian tumor;
✕. Histopathological results are inconclusive;
✕. 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.

Area under the curve

Timeframe: Through study completion, an average of 1 year

NCT IDNCT06528236

SponsorZhejiang Provincial People's Hospital

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2029-07-30

Yingnan Wu, Doctor