Breakthrough software supporting improved prostate cancer detection

RSI-MRI+ is FDA-cleared post-processing software that supports improved detection of clinically significant prostate cancer.

Leveraging an advanced diffusion MRI technique called Restriction Spectrum Imaging, powered by AI, the software enables faster, more accurate PI-RADS scoring.

Source: McCammack KC, Kane CJ, Parsons JK, et al. In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI. Prostate Cancer Prostatic Dis. 2016;19(2):168-173. doi:10.1038/pcan.2015.61
PUBLICATIONS

In vivo prostate cancer detection and grading using restriction spectrum imaging-MRI

Magnetic resonance imaging (MRI) is emerging as a robust, noninvasive method for detecting and characterizing prostate cancer (PCa), but limitations remain in its ability to distinguish cancerous from non-cancerous tissue. We evaluated the performance of a novel MRI technique, restriction spectrum imaging (RSI-MRI), to quantitatively detect and grade PCa compared with current standard-of-care MRI

Restriction spectrum imaging improves MRI-based prostate cancer detection

Purpose—To compare the diagnostic performance of restriction spectrum imaging (RSI), with that of conventional multi-parametric (MP) magnetic resonance imaging (MRI) for prostate cancer (PCa) detection in a blinded reader-based format.

FEATURES

Restricted Signal Map

Provides increased conspicuity of restricted diffusion compared to high b-value DWI.

Restricted Signal Map

Automatically fuses the Restricted Signal Map with the anatomical T2-weighted image series to support anatomical localization.

HOW IT WORKS 

The first commercial imaging software to use an advanced multi-compartment diffusion model, RSI-MRI+ better interrogates prostate tissue microstructure to improve conspicuity of restricted diffusion.

RSI-MRI+ provides a unique characterization of the restricted signal component — called the Restricted Signal Map — which improves visualization and quantification of restricted water compared to standard diffusion-weighted imaging (DWI).

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