A Kaiser score > 5 with breast MRI demonstrated a 97 percent sensitivity and 87.9 percent specificity for predicting malignancy in patients with BI-RADS 0 or 4 presentations on mammography and breast ultrasound, according to a new study.
|Articles|April 16, 2003
Siemens submits digital mammography application
If all goes according to plan, Siemens Medical Solutions will soon begin marketing a full-field digital mammography system. The company announced April 7 the submission of an application to the FDA for its Mammomat NovationDR. The submission must
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If all goes according to plan, Siemens Medical Solutions will soon begin marketing a full-field digital mammography system. The company announced April 7 the submission of an application to the FDA for its Mammomat NovationDR. The submission must navigate the FDA's premarket approval process, which could take several months. NovationDR features a flat-panel detector based on amorphous selenium being provided by Hologic.
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In the latest episode of her Breast Imaging in Focus series, Manisha Bahl, MD, MPH, FSBI, discusses new research comparing mammography-based AI models for breast cancer detection and short-term risk prediction.
Catch up on the top radiology content of the past week.
In the third of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss recent developments with autonomous AI in breast imaging and share their perspective on the overall potential of AI to help mitigate the radiologist shortage.
In the second of a three-part podcast episode, Wendie Berg, MD, PhD, FACR, FSBI, Manisha Bahl, MD, and Amy Patel, MD discuss how to handle disagreements with adjunctive AI in breast imaging, whether to include AI assessments in PACS, and whether patients should pay for the use of adjunctive AI.
Catch up on the top radiology content of the past week.
In addition to providing higher SNRs in vascular structures and parenchymal organs than energy-integrating detector CT, photon-counting CT enabled an approximately 30 percent reduction in volume CT dose index (CTDIvol) for patients with obesity, according to a new study.
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