Advanced imaging to improve breast cancer diagnosis and treatment decisions

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

The trial enrolls adult women with BI-RADS 4 or higher breast lesions and uses ultrafast DCE-MRI, time-dependent diffusion MRI, MR elastography, and virtual MR elastography before biopsy or surgery to collect imaging and clinical data. Researchers will analyze how these imaging modalities together may improve precision in diagnosis, treatment planning, and prognosis. The study aims to create a robust imaging basis to guide individualized care and potentially improve outcomes and resource use.

Why it matters

Who can join: the full rules

Inclusion Criteria:

1. Age ≥ 18 years old
2. Female patients with BI-RADS class 4 or above breast lesions detected by mammography or ultrasound
3. Perform breast new technology MRI examination (ultra fast DCE-MRI、OGSE 、MRE、vMRE)within one week before biopsy or surgery

Exclusion Criteria:

1. Previously received breast radiotherapy, chemotherapy, surgery, or targeted therapy
2. Unable to cooperate in completing MRI examination
3. The image data contains serious artifacts (such as motion artifacts and metal artifacts), making it impossible to measure parameters
4. The lesion cannot be clearly identified and outlined on the image
5. Pregnant and lactating women
6. Combined with severe liver, liver, and kidney diseases, coagulation dysfunction, or other malignant tumors

Where it's running

• Yunnan Cancer Hospital
  Kunming, Yunnan, China Recruiting

Study contacts

• Study coordinator: Caiyang Li
• Email: 2020429049@kmmu.edu.cn
• Phone: +8613658700171

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.