Research and Application of Ultrasonic Intelligent Diagnosis System for Ovarian Mass

Zhejiang Provincial People's Hospital

Status: Not yet enrolling

Conditions: Ovarian Neoplasms; Adnexal Mass

Treatments: Diagnostic Test: Artificial intelligence model

Study type: Observational

Funder types: Other

Identifiers

NCT06528236

KY2024053

Details and patient eligibility

About

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

Full description

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

Enrollment: 100,000 estimated patients

Sex: Female

Volunteers: Accepts Healthy Volunteers

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.

Trial design

100,000 participants in 4 patient groups

Training cohort

Description:

Training cohort is used to training artificial model based on multimodel ultrasound images or videos.

Validation cohort

Description:

Validation cohort is used to validate artificial model.

Treatment:

Diagnostic Test: Artificial intelligence model

Internal test cohort

Description:

Internal test cohort is used to internally test artificial model.

Treatment:

Diagnostic Test: Artificial intelligence model

External test cohort

Description:

External test cohort is used to internally test artificial model.

Treatment:

Diagnostic Test: Artificial intelligence model