Indianapolis-based interventional technology developer Suros Surgical Systems plans to highlight its Sapphire Automated Tissue Excision and Collection (ATEC) Breast Biopsy and Excision System.
Sapphire is an all-in-one console for interventional radiologists and breast surgeons, and allows doctors to perform vacuum-assisted breast biopsy with diagnostic imaging modalities like ultrasound and MRI using a single biopsy system.
Sapphire's ATEC technology includes petite, standard, and long needle options to accommodate a wide patient spectrum. It acquires tissue samples every 4.5 seconds, for a total tissue acquisition time of less than 30 seconds, according to company. The system's patent-pending Y-Valve allows doctors to deliver local anesthetic to the biopsy site without interruption throughout the whole procedure.
Sapphire has been cleared by the FDA for diagnostic breast biopsy and partial or complete removal of the visible evidence of benign breast tissue. More than 200 facilities already use the ATEC system for MRI-guided biopsy, according to Suros.
By Kate Madden Yee
AuntMinnie.com contributing writer
November 7, 2005
Copyright © 2005 AuntMinnie.com
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&fit=crop&h=100&q=70&w=100)
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
