Women's healthcare vendor Hologic of Bedford, MA, has closed on its acquisition of MRI technology developer Sentinelle Medical of Toronto for $85 million.
The transaction includes a two-year contingent earn-out, which will be payable in cash installments equal to a multiple of the incremental revenue growth in Sentinelle Medical's business in the two years following the August 5 closing date.
Sentinelle Medical develops breast imaging technologies using high-field MRI for the early detection of breast cancer, in addition to developing patient tables and visualization software. In 2009, Sentinelle Medical achieved revenues of approximately $15 million.
Related Reading
Hologic grows sales, though profit slips, August 2, 2010
Hologic secures panel date for tomo PMA, July 27, 2010
Hologic to buy breast MR firm Sentinelle for $85M, July 6, 2010
Sentinelle touts breast MRI coils, December 1, 2009
Sentinelle, Ultrasonix partner on new system, November 30, 2009
Sentinelle signs deal with Calgary Scientific, June 5, 2009
Copyright © 2010 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)
