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Sub-regional Tumor Segmentation Based on CEUS Perfusion Characteristics: Enhancing Breast Tumor Diagnosis

NCT06172270 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 339

Last updated 2025-01-10

No results posted yet for this study

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.

Conditions

  • Breast Tumor

Sponsors & Collaborators

  • Second Affiliated Hospital, School of Medicine, Zhejiang University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-07-01
Primary Completion
2025-01-03
Completion
2025-01-03

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06172270 on ClinicalTrials.gov