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news.Exact Imaging has formed a partnership with Riverside Research, a not-for-profit, scientific-research company.
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The partnership will seek to apply Riverside Research’s patented, quantitative, tissue-characterization algorithms to the ExactVu™ high-resolution micro-ultrasound platform to develop new capabilities in the system’s ability to detect and characterize prostate cancer.
Exact Imaging president and CEO Randy AuCoin said: "Urologists are demanding more from their imaging tools because current ultrasound systems do not have sufficient resolution to visualize and target biopsies of suspicious regions.
"Our ExactVu micro-ultrasound system enables a new paradigm in real-time imaging resolution – – a 300% improvement in resolution compared to conventional ultrasound. This advance will allow urologists to clearly visualize and target suspicious regions for biopsy, in addition to performing systematic biopsy protocols.
"With the addition of Riverside Research’s novel, quantitative, tissue-characterization techniques, we will continue to develop new applications and workflows to help clinicians further identify and characterize these suspicious regions. The ultimate goal is to improve the clinical outcomes enabled through micro-ultrasound-based prostate imaging and biopsies."
Riverside Research director of the Lizzi Center for biomedical engineering Ernest Feleppa said: "We are very excited about applying our extensive experience in ultrasound-based tissue characterization and tissue-type imaging to the ultra-high frequencies enabled by the ExactVu system to explore novel possibilities in differentiating healthy from disease prostate tissue.
"The rich data generated at these ultra-high resolutions allows us to improve the accuracy of our quantitative ultrasound methods for differentiating cancerous from noncancerous tissue in the prostate. Ultrasound is the global standard of care for urological imaging, and we expect that combining micro-ultrasound’s resolution and enhanced information content with our tissue-characterization algorithms will yield very exciting new insights and, ultimately, improved clinical outcomes."