Status:

NOT_YET_RECRUITING

Research and Application of Ultrasonic Intelligent Diagnosis System for Ovarian Mass

Lead Sponsor:

Zhejiang Provincial People's Hospital

Collaborating Sponsors:

The Second Affiliated Hospital of Harbin Medical University

Sichuan provincial maternity and child health care hospital

Conditions:

Ovarian Neoplasms

Adnexal Mass

Eligibility:

FEMALE

Brief Summary

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

Detailed Description

Investigators aimed to develop an ultrasonic intelligent diagnosis system for ovarian mass based on multimodal ultrasound images.

Eligibility Criteria

Inclusion

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

Exclusion

  • 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.

Key Trial Info

Start Date :

July 30 2024

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

July 30 2029

Estimated Enrollment :

100000 Patients enrolled

Trial Details

Trial ID

NCT06528236

Start Date

July 30 2024

End Date

July 30 2029

Last Update

July 30 2024

Active Locations (0)

Enter a location and click search to find clinical trials sorted by distance.

Page 1 of 0 (0 locations)

No Results Found

We couldn’t find results for the location/zipcode entered or within the selected range. Please check your input or adjust your search.