Clinical trial · Observational
Using Deep Learning Methods to Analyze Automated Breast Ultrasound and Hand-held Ultrasound Images, to Establish a Diagnosis, Therapy Assessment and Prognosis Prediction Model of Breast Cancer.
To Build and Evaluate a Precise Diagnosis, Therapy Assessment and Prognosis Prediction Model of Breast Cancer Based on Artificial Intelligence
- 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)
The purpose of this study is using a deep learning method to analyze the automated breast ultrasound (ABUS) and hand-held ultrasound(HHUS) images, establish and evaluate a diagnosis, therapy assessment and prognosis prediction model of breast cancer. The model would provide important references for further early prevention, early diagnosis and personalized treatment.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Breast Cancer | Malignant Breast Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| ABUS and HHUS | Diagnostic Test | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- malignant group
- description
- women with malignant lesions confirmed by pathology
- interventionNames
- Diagnostic Test: ABUS and HHUS
- label
- benign group
- description
- women with benign lesions confirmed by pathology or stable in follow-up \> 2 years
- interventionNames
- Diagnostic Test: ABUS and HHUS
- label
- normal group
- description
- women have normal images with follow up \> 2 years
- interventionNames
- Diagnostic Test: ABUS and HHUS
Primary outcomes (5)
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. Female patients over 18 years old who come to the two centers for physical examination or treatment; 2. Complete basic information and image data Exclusion Criteria: 1. There is no complete ABUS and HHUS images data; 2. The image quality is poor; 3. In multifocal breast cancer, the correlation between the tumor in the image and the postoperative pathological examination is uncertain.
References
Publications (0)
Data not yet available