Research and Application of Ultrasonic Intelligent Diagnosis System for Ovarian Mass
Research on Automatic Detection of Ovarian Mass and Intelligent Auxiliary Diagnosis System Based on Multimodal Ultrasound Images
1 other identifier
observational
100,000
0 countries
N/A
Brief Summary
Research on automatic detection of ovarian mass and intelligent auxiliary diagnosis system based on multimodal ultrasound images.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2024
Longer than P75 for all trials
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
July 18, 2024
CompletedFirst Posted
Study publicly available on registry
July 30, 2024
CompletedStudy Start
First participant enrolled
July 30, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 30, 2029
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 30, 2029
July 30, 2024
July 1, 2024
5 years
July 18, 2024
July 25, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Area under the curve
AUC (Area Under the Curve) is a common index used to evaluate the performance of binary classification model.
Through study completion, an average of 1 year
Secondary Outcomes (1)
Sensitivity
Through study completion, an average of 1 year
Other Outcomes (4)
Specificity
Through study completion, an average of 1 year
Accuracy
Through study completion, an average of 1 year
Positive predicative value
Through study completion, an average of 1 year
- +1 more other outcomes
Study Arms (4)
Training cohort
Training cohort is used to training artificial model based on multimodel ultrasound images or videos.
Validation cohort
Validation cohort is used to validate artificial model.
Internal test cohort
Internal test cohort is used to internally test artificial model.
External test cohort
External test cohort is used to internally test artificial model.
Interventions
Using the artificial intelligence model to diagnosis benign, borderline, and malignant ovarian masses.
Eligibility Criteria
During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found. The patient underwent surgical treatment and the histopathological results.
You may qualify if:
- During gynecological ultrasound examination, at least one patient with persistent ovarian tumor was found.
- The patient underwent surgical treatment and the histopathological results.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Zhejiang Provincial People's Hospitallead
- The Second Affiliated Hospital of Harbin Medical Universitycollaborator
- Sichuan provincial maternity and child health care hospitalcollaborator
- The Affiliated Hospital of Qingdao Universitycollaborator
- Aksu First People's Hospitalcollaborator
- Women's Hospital School Of Medicine Zhejiang Universitycollaborator
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
Litao Sun, Professor
Zhejiang Provincial People's Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 18, 2024
First Posted
July 30, 2024
Study Start
July 30, 2024
Primary Completion (Estimated)
July 30, 2029
Study Completion (Estimated)
July 30, 2029
Last Updated
July 30, 2024
Record last verified: 2024-07
Data Sharing
- IPD Sharing
- Will not share