Research and Application of Ultrasonic Intelligent Diagnosis System for Ovarian Mass

Trial statusNot yet recruiting
Trial phaseNot listed
Trial typeObservational
Biological sexFemale
AgeNot listed
SponsorZhejiang Provincial People's Hospital

About this trial

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

Eligibility criteria

Qualifiers

During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found.

The patient underwent surgical treatment and the histopathological results.

Disqualifiers

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.

Trial design

Treatments tested in this trial

  • Artificial intelligence model

Treatment groups

100,000 Participants
are divided into 4 treatment groups

Locations

This trial has no locations

Sponsors and collaborators

Zhejiang Provincial People's Hospital

Lead sponsor

The Second Affiliated Hospital of Harbin Medical University

Collaborator

Sichuan provincial maternity and child health care hospital

Collaborator

The Affiliated Hospital of Qingdao University

Collaborator

Aksu First People's Hospital

Collaborator

Women's Hospital School Of Medicine Zhejiang University

Collaborator