Register Now: Image-Based Risk: The Next Frontier in Breast Cancer Screening
|Articles|April 24, 2011

Ductal Carcinoma in Situ

A 57-year-old patient presents for evaluation of right nipple discomfort. The patient has family history of a mother and sister with premenopausal breast cancer.

CLINICAL HISTORY

A 57-year-old patient presents for evaluation of right nipple discomfort. The patient has family history of a mother and sister with premenopausal breast cancer.

FINDINGS

Digital mammography shows area of calcifications (Figure 1a-b). Magnification views demonstrate intraductal pleomorphic microcalcifications in the right 11:00 area (Figure 1c).
No noted findings on physical exam or ultrasound.

 

 

 

 

 

 

 

 

 

 

 

 

 

(Figure 1a)

 

 

 

 

 

 

 

 

 

 

 

(Figure 1b)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

(Figure 1c)

MRI imaging performed for extent of disease demonstrates linear beaded enhancement extending from nipple posteriorly for 8cm within the right breast upper outer quadrant (Figure 2a-b).

 

 

 

 

 

 

 

 

 

 

 

(Figure 2a)

 

 

 

 

 

 

 

 

 

 

 

(FIgure 2b)

DIAGNOSIS

Vacuum assisted stereotactic needle core biopsy of the right breast 11:00 microcalcifications reveals ductal carcinoma in situ.

DISCUSSION

This case demonstrates the benefit of multimodality imaging including digital mammography and breast magnetic resonance imaging (MRI) in this patient, which led to a diagnosis of ductal carcinoma in situ (DCIS). There has been some conflicting information in the literature regarding MRI and its usefulness in the evaluation of DCIS. For this patient, the MRI revealed the extensive area of involvement more so than mammography. This information was critical to the surgeon for surgical planning.

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

Related to this article

See the Real-World Impact of AI in Radiology
AI has to do more than show potential. It has to deliver measurable results.The Rad AI Outcomes and Market Impact Compendium brings together real-world clinical, operational and financial evidence from health systems, academic medical centers and radiology practices using Rad AI Reporting, Impressions and Continuity.Explore results including 60+ minutes saved per radiologist shift, a 47% reduction in report error rates, 70%+ patient follow-up adherence and >7x ROI — plus, case studies showing how organizations are translating AI into greater capacity, quality and financial performance.See what AI built specifically for radiology can deliver in practice.