Clinical trial · Observational
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
NCT06528236CI-TRIAL-00079239not yet recruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
Research on automatic detection of ovarian mass and intelligent auxiliary diagnosis system based on multimodal ultrasound images.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Adnexal Mass | — | UNRESOLVED | — |
| Ovarian Neoplasms | Ovarian Neoplasm | ONTOLOGY_EXACT | 0.98 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Artificial intelligence model | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (4)
- label
- Training cohort
- description
- Training cohort is used to training artificial model based on multimodel ultrasound images or videos.
- label
- Validation cohort
- description
- Validation cohort is used to validate artificial model.
- interventionNames
- Diagnostic Test: Artificial intelligence model
- label
- Internal test cohort
- description
- Internal test cohort is used to internally test artificial model.
- interventionNames
- Diagnostic Test: Artificial intelligence model
- label
- External test cohort
- description
Eligibility
Eligibility (as posted)
- Sex
- Female
Show eligibility criteria text
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.
References
Publications (0)
Data not yet available
No reference posted for this study.