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this study aims To evaluate the diagnostic performance of Ultrasound (US) in correlation with Dynamic Magnetic Resonance Imaging (MRI) for the assessment, characterization, and evaluation of non-mass breast lesions.
The study will investigate whether DCE-MRI improves lesions detected by characterization and diagnostic accuracy when interpreted according to the ACR BIRADS v 2025 and so may help optimize breast imaging evaluation and support clinical decision making
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with non mass breast lesions on US | Women with US detected non mass breast lesions undergoing DCE-MRI evaluation according to ACR- BIRADS v 2025 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| multiparametric DCE- MRI and US for all patients | Diagnostic Test | Multiparametric DCE-MRI performed for evaluation of non mass breast lesions detected on ultrasound , with assessment of diagnostic accuracy according to ACR BIRADS v 2025 |
| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic accuracy of Multiparametric DCE-MRI in characterization of non mass breast lesions detected on Ultrasound | evaluation the diagnostic performance of Ultrasound (US) in correlation with Dynamic Magnetic Resonance Imaging (MRI) for the assessment, characterization, and evaluation of non-mass breast lesions. | 8 months |
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Inclusion Criteria:
• Female patients of any age presenting with non-mass breast lesions detected on MRI or conventional imaging.
Exclusion Criteria:
• Patients presenting with typical distinct "mass" lesions (3D space-occupying lesions) without any non-mass components.
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Female patients of any age group presented with non mass lesions on either US or mammography
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Alaa Nor Abdelghafar Nor Abdelghafar, Assistant Lecturer | Contact | 01063550892 | alaa011053@med.sohag.edu.eg |
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