Invasive Mammary Carcinoma

Article

A 46-year-old patient presents for routine screening mammography. Family history of breast cancer consists of a maternal aunt and grandmother.

CLINICAL HISTORY

A 46-year-old patient presents for routine screening mammography. Family history of breast cancer consists of a maternal aunt and grandmother.

FINDINGS

Digital mammography reveals an irregular 2.2cm mass in the left breast, approximately 10cm from the nipple (Figure 1a-b). The mass persists on the magnification view (Figure 1c).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(Figure 1a)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(Figure 1b)

 

 

 

 

 

 

 

 

 

 

 

 

 

(Figure 1c)

On physical exam, no discrete mass is palpated. Ultrasound demonstrates an irregular hypoechoic mass within the left 3:30 area measuring up to 1.4cm (Figure 2).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(Figure 2)

MRI imaging performed for extent of disease demonstrates the known carcinoma measuring 2.0 x 2.2cm in the left breast (Figure 3a-b).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(Figure 3a)

 

 

 

 

 

 

 

 

 

 

(Figure 3b) 

DIAGNOSIS

Vacuum assisted stereotactic needle core biopsy of the left breast 3:30 mass reveals invasive mammary carcinoma.

DISCUSSION

This case demonstrates the benefit of screening mammography in a premenopausal woman. This was a large lesion that was not palpable and was not found by the patient or her physician. This was identified on the screening mammogram which initiated additional evaluation with magnification views, ultrasound, stereotactic biopsy, and subsequent breast MRI. 

Stamatia Destounis, MD, is managing partner and a radiologist at Elizabeth Wende Breast Care in Rochester, NY.

Recent Videos
Can AI Assessment of Longitudinal MRI Scans Improve Prediction for Pediatric Glioma Recurrence?
A Closer Look at MRI-Guided Adaptive Radiotherapy for Monitoring and Treating Glioblastomas
Incorporating CT Colonography into Radiology Practice
What New Research Reveals About Computed Tomography and Radiation-Induced Cancer Risk
What New Interventional Radiology Research Reveals About Treatment for Breast Cancer Liver Metastases
New Mammography Studies Assess Image-Based AI Risk Models and Breast Arterial Calcification Detection
Can Deep Learning Provide a CT-Less Alternative for Attenuation Compensation with SPECT MPI?
Employing AI in Detecting Subdural Hematomas on Head CTs: An Interview with Jeremy Heit, MD, PhD
Pertinent Insights into the Imaging of Patients with Marfan Syndrome
What New Brain MRI Research Reveals About Cannabis Use and Working Memory Tasks
Related Content
© 2025 MJH Life Sciences

All rights reserved.