Empowering clinicians with precision margin management technology
The MOZART® System from KUBTEC is setting a new standard of care for breast cancer surgery. By utilizing 3D tomosynthesis technology the MOZART System, provides surgeons with the clearest view of their surgical margins.
Bringing 3D Tomosynthesis
to the OR
Just as 3D imaging is the gold standard in diagnostic mammography, this technology is now available in the OR to give the most accurate view of breast specimen surgical margins.
Image Blender™
The Image Blender combines X‑ray images and optical images together, identifying the location of your markers directly on the physical specimen.
We are challenging the status quo of breast cancer surgery
At KUBTEC, we are guided by the belief that nothing is more important in breast cancer surgery than having the confidence of clear margins at the time of surgery.
Our technology reduces re-excision rates by 50%², preserves healthy breast tissue³, and ultimately improves patient outcomes.
Schedule a virtual demo
Contact us to learn more about the MOZART System or our 2D specimen radiography imaging systems.
Specimen tomosynthesis is an integral part of our breast care center, because we’re bringing more quality to what we do for our patients.
Professor of Surgery
University of California San Francisco
We want the patient to have the best possible results, a combination of least times having to go back for cancer or re-excision, but taking out the least amount of tissue to preserve the best cosmesis. So I think having 3D specimen X-rays is letting us do both those things.
The Comprehensive Breast Care Center of Tampa Bay
Specimen tomosynthesis allows me to remove a smaller volume of initial incision allowing patients to have a better cosmetic result.
Rush University Surgeons
Reduces amount of tissue removed at re-excision (intra-operatively at first surgery or subsequent surgery) to hemi-quadrant (one-eighth shave) vs hemisphere or multiple 6 margin random shaves.
Edward G. Schlieder Educational Foundation Chair in Surgical Oncology
Tulane University School of Medicine
