Diffusion Coefficient and Micro-calcifications to Kaiser Score in Evaluation of BI-RADS 4 Breast Lesions
NCT07033507 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 80
Last updated 2025-06-24
Summary
Breast cancer is the most commonly diagnosed cancer worldwide and is the leading cause of cancer-related deaths in women. Mammography, breast ultrasonography (US), and breast magnetic resonance imaging (MRI) are essential for the diagnosis and follow-up of breast cancer. The American College of Radiology Breast Imaging- Reporting and Data System (ACR BI-RADS), which is used worldwide, provides the standard terminology for breast imaging (Jajodia et al., 2021). The ACR BI- RADS lexicon categorizes breast imaging findings into seven BIRADS categories of 0, 1, 2, 3, 4(4a, 4b, 4c), 5, and 6 according to the probability of malignancy. Breast imaging findings assigned as BI-RADS 4 require tissue sampling and histopathological examination. However, the likelihood of malignancy of lesions classified as BI-RADS 4 ranges widely, from 3% to 94%. Categorization of lesions according to BI-RADS is related to the experience of the radiologist, with experienced radiologists performing better than inexperienced radiologists
Conditions
- Breast Neoplasms
Interventions
- DIAGNOSTIC_TEST
-
MRI diffusion coefficient and micro-calcifications to Kaiser Score in evaluation of BI-RADS 4 breast lesions
Compare MRI diffusion coefficient and micro-calcifications to Kaiser Score in evaluation of BI-RADS 4 breast lesions
Sponsors & Collaborators
-
Mansoura University Hospital
lead OTHER
Principal Investigators
-
Mohamed AbdElmoniem · Lecturer of faculty of medicine Mansoura university
Eligibility
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-06-01
- Primary Completion
- 2025-10-01
- Completion
- 2026-01-01
Countries
- Egypt
Study Locations
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