The Radiology Partners (RP) Breast Imaging National Subspecialty Division (NSD) presents our newest Rad to Rad Learning case.
Peer Learning Opportunity
Something is missing from this right CC view.
In the original scan, the image was exaggerated laterally, which resulted in excluded medial tissue.
A second scan was performed with proper technique, and a mass that was previously out of frame became visible.
Practical Insights
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- Do not accept suboptimal patient positioning.
- For CC, the posterior nipple line should bisect the breast into equal halves, with only fat or muscle in the retroglandular space.
- For MLO, the pectoralis muscle should extend to the posterior nipple line with a convex anterior margin of the pectoralis muscle. The inframammary fold should be open.
Takeaway: You can’t find cancers you can’t see.
Takeaway: You can’t find cancers you can’t see.Shared to improve patient safety and healthcare delivery in the provision of radiology services. The circumstances and facts are changed, altered, or deidentified to preserve confidentiality. Privileges have not been waived.
The Breast Imaging National Subspecialty Division (NSD) is part of RP’s Clinical Value Team, which works to elevate patient care and enhance value through innovation, collaboration and education. To advance this goal, our radiologists and advanced practice providers are committed to sharing peer learning as valuable reminders and insights about what we encounter in our day-to-day practice. Check back here and on X, LinkedIn and Instagram to see these common cases and our findings.
Visit the Clinical Resources page for more cases and to see what we’ve developed to enhance best practice recommendations, elevate image quality and patient care and update current standards throughout RP’s network of practices, all to deliver excellent radiology services to patients, referring clinicians and client partners.
Radiology Partners, through RP Clinical Services and its managed practices, together with Mosaic Clinical Technologies, Inc., its technology and AI division, is the leading provider of technology-enabled radiology services in the U.S., serving more than 3,400 hospitals and other healthcare facilities with high-quality radiology, technology and artificial intelligence solutions. As a physician-led and physician-owned practice, our mission is to transform radiology by innovating across clinical value, technology, and service, while elevating the role of radiology and radiologists in healthcare. For the latest news from RP, follow us on X, LinkedIn, Instagram, YouTube and the blog.
