Sub-regional Tumor Segmentation Based on CEUS Perfusion Characteristics: Enhancing Breast Tumor Diagnosis
1 other identifier
observational
339
1 country
1
Brief Summary
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.
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 2023
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2023
CompletedFirst Submitted
Initial submission to the registry
December 7, 2023
CompletedFirst Posted
Study publicly available on registry
December 15, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
January 3, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
January 3, 2025
CompletedJanuary 10, 2025
January 1, 2025
1.5 years
December 7, 2023
January 8, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Accuracy
The proportion of breast tumors (benign or malignant) correctly classified by the diagnostic model.
6 months
Study Arms (2)
Benign breast tumors
Performing contrast-enhanced ultrasound on benign breast tumors and analyzing the video images
Malignant breast tumors
Performing contrast-enhanced ultrasound on malignant breast tumors and analyzing the video images.
Eligibility Criteria
Patients with breast nodule
You may qualify if:
- 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.
You may not qualify if:
- 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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Department of Ultrasound, Second Affiliated Hospital, School of Medicine, Zhejiang University
Hangzhou, Zhejiang, 310000, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
December 7, 2023
First Posted
December 15, 2023
Study Start
July 1, 2023
Primary Completion
January 3, 2025
Study Completion
January 3, 2025
Last Updated
January 10, 2025
Record last verified: 2025-01
Data Sharing
- IPD Sharing
- Will not share
The data cannot be shared because of ethical restrictions regarding human participant data.