Clinical trial · Observational
Sub-regional Tumor Segmentation Based on CEUS Perfusion Characteristics: Enhancing Breast Tumor Diagnosis
Sub-regional Tumor Segmentation Based on Contrast-Enhanced Ultrasound Perfusion Characteristics: A Historical-Prospective Cohort Study for the Diagnosis of Breast Tumor
- 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 goal of this study is to investigate breast cancer's internal heterogeneity and enhance diagnostic accuracy. The investigators aim to achieve this by utilizing Contrast-Enhanced Ultrasound (CEUS) technology, which provides detailed information about tumor perfusion dynamics. Traditional biopsy methods have limitations due to the invasive nature and complexity of breast cancer heterogeneity. Participants in this study will undergo preoperative breast cancer diagnosis using CEUS technology, which is safe, cost-effective, and convenient. Dynamic CEUS videos will be used to cluster perfusion characteristics at the pixel level within breast tumors, allowing the investigators to divide the tumors into distinct subregions based on these clusters. The investigators will then explore the correlation between these perfusion subregions and the diagnosis of benign or malignant breast tumors. The ultimate aim is to develop diagnostic models that utilize non-invasive imaging data to enhance breast cancer diagnosis. This approach reduces subjective judgments in the diagnostic process, potentially improving diagnostic accuracy. It also provides valuable information for personalized treatment decisions, thus advancing the field of breast cancer 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 Tumor | Breast Neoplasm | ALIAS | 0.90 |
Interventions
Interventions (0)
Data not yet available
Design
Arms and outcomes
Arms (2)
- label
- Benign breast tumors
- description
- Performing contrast-enhanced ultrasound on benign breast tumors and analyzing the video images
- label
- Malignant breast tumors
- description
- Performing contrast-enhanced ultrasound on malignant breast tumors and analyzing the video images.
Primary outcomes (1)
- measure
- Accuracy
- timeFrame
- 6 months
- description
- The proportion of breast tumors (benign or malignant) correctly classified by the diagnostic model.
Eligibility
Eligibility (as posted)
- Sex
- Female
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: * Prospective cohort patients voluntarily sign an informed consent form. * Patients who undergo breast contrast-enhanced ultrasound. * Patients with breast nodules that have not received any treatment. Exclusion Criteria: * Patients who cannot obtain pathological results due to refusal of further diagnosis or treatment. * Patients whose breast lesions are too large to display their long axis under the ultrasound probe. * Patients contraindicated for contrast-enhanced ultrasound. * Historical cohort patients who cannot obtain ultrasound contrast videos of at least 45-60 seconds post contrast agent injection. * Patients whose ultrasound contrast videos show excessive motion displacement that cannot be corrected.
References
Publications (0)
Data not yet available