Ductal carcinoma in situ often takes on an innocent guise in the mainstream media. It may be referred to as "precancerous" or "mostly harmless." Some say this common malignancy is overdiagnosed and overtreated.
Ductal carcinoma in situ often takes on an innocent guise in the mainstream media. It may be referred to as "precancerous" or "mostly harmless." Some say this common malignancy is overdiagnosed and overtreated.
In this month's cover story, a more complex picture emerges. Pathology experts say that DCIS is similar to invasive cancer in terms of its makeup and heterogeneous nature.
Furthermore, Dr. Laszlo Tabar, a leader in mammography education, has identified some cancers now classified as DCIS that actually behave like invasive cancer, possibly through a process called neoductgenesis.
For Tabar, misunderstandings about what DCIS is and is capable of becoming start with faulty terminology and outdated anatomical models. Newer pathology techniques showed several years ago that DCIS is often found not in the collecting ducts, but in the terminal ductal lobular units, which include the lobules and the terminal ducts.
The origin of in situ disease has implications for its likelihood of become invasive, according to pathologists.
It proved somewhat difficult to get leading radiologists to comment for this story. Most were more comfortable directing me to breast pathology experts such as Dr. Michael Lagios, conveniently based in Diagnostic Imaging's hometown, San Francisco.
Both Tabar and Lagios stress the importance of correlating mammographic findings with actual pathology findings. Ideally, the two specialists should become au fait with one another's terminology.
At a multidisciplinary seminar held in June, Tabar demonstrated the cooperative approach with pathologist Dr. Lee Tucker of the Carilion Breast Center in Roanoke, VA. The two experts believe that collaboration with modern pathology techniques can result in more accurate diagnosis and assessment of disease, with obvious benefits to patients in terms of more appropriate treatment.
Such an entwined working relationship is uncommon today but holds potential in the future, as more centers embrace specialized, interdisciplinary models for breast cancer management.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
April 15th 2024Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
Mammography-Based AI Abnormality Scoring May Improve Prediction of Invasive Upgrade of DCIS
April 9th 2024Emerging research suggests that an artificial intelligence (AI) score of 75 or greater for mammography abnormalities more than doubles the likelihood of invasive upgrade of ductal carcinoma in situ (DCIS) diagnosed with percutaneous biopsy.
Mammography Study: AI Improves Breast Cancer Detection and Reduces Reading Time with DBT
April 3rd 2024An emerging artificial intelligence (AI) model demonstrated more than 12 percent higher specificity and reduced image reading time by nearly six seconds in comparison to unassisted radiologist interpretation of digital breast tomosynthesis (DBT) images.