RecruitingNCT07557654

Artificial Intelligence-Assisted Opportunistic Screening for Breast Cancer Using Non-Contrast Chest CT: A Comparative Study With Mammography and/or Breast MRI

Sponsor: Fudan University

Trial Details

ConditionBreast Cancer
StatusRecruiting
Participants5,000
Est. Completion1 May 2028
Last Updated15 June 2026

Primary Outcome

Screening performance of non-contrast chest CT for detection of breast cancer, with comparison to mammography and/or breast MRI

Eligibility Criteria

Inclusion Criteria

Inclusion Criteria: 1. Female patients who have undergone non-contrast chest CT examination; 2. Participants included in the comparative analysis must have undergone at least one comparator imaging modality (mammography and/or breast MRI); 3. If a breast lesion is detected, it must be confirmed by pathology or clinical follow-up at least 12 months; 4. No prior systemic or local therapy before imaging examinations; 5. Imaging data are complete and of sufficient quality for analysis. Exclusion Criteria: 1. History of other malignancies with potential impact on breast imaging interpretation; 2. Participants with suspected malignant breast lesions but no confirmation; 3. Prior radiotherapy, chemotherapy, or immunotherapy before imaging examinations; 4. Imaging data that are incomplete, of poor quality, or contain significant artifacts preventing reliable analysis; 5. Time interval between non-contrast chest CT and comparator imaging modalities exceeding three months, or with clinical events occurring between examinations that may alter lesion status.

Trial Sites

Countries

China
View Registry Entry

This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service