Emphasizing restriction spectrum imaging (RSI), the recently launched prostate MRI software OnQ Prostate may enhance PI-RADS assessments and workflow efficiency.
In order to enhance the detection of clinically significant prostate cancer (csPCa), Cortechs.ai has launched OnQ Prostate, a post-processing software that may bolster prostate MRI interpretation through a proprietary diffusion-weighted imaging called restriction spectrum imaging (RSI).
Originally developed for brain cancer imaging, RSI reportedly increases the detection of aggressive cancer cells, according to Cortechs.ai. The company noted that research with the FDA-cleared OnQ Prostate software has demonstrated improved in vivo characterization and localization of csPCa on diffusion MRI imaging.
The FDA-cleared OnQ Prostate software has demonstrated improved in vivo characterization and localization of csPCa on diffusion MRI imaging, according to Cortechs.ai, the developer of the software. (Image courtesy of Cortechs.ai .)
In addition to improved accuracy with PI-RADS assessments, Cortechs.ai said the OnQ Prostate software offers a versatility that can enhance workflows with radiologists and referring providers by facilitating patient selection for biopsy procedures, treatment planning and post-treatment assessment.
“This announcement is an important step in increasing the awareness and accessibility of OnQ Prostate beyond its earliest adopters so that more physicians and patients can benefit from this technology,” says Brittany Hunt, the head of prostate business development at Cortechs.ai.
Can Abbreviated Breast MRI Have an Impact in Assessing Post-Neoadjuvant Chemotherapy Response?
April 24th 2025New research presented at the Society for Breast Imaging (SBI) conference suggests that abbreviated MRI is comparable to full MRI in assessing pathologic complete response to neoadjuvant chemotherapy for breast cancer.
Clarius Mobile Health Unveils Anterior Knee Feature for Handheld Ultrasound
April 23rd 2025The T-Mode Anterior Knee feature reportedly offers a combination of automated segmentation and real-time conversion of grayscale ultrasound images into color-coded visuals that bolster understanding for novice ultrasound users.
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
Meta-Analysis Shows Merits of AI with CTA Detection of Coronary Artery Stenosis and Calcified Plaque
April 16th 2025Artificial intelligence demonstrated higher AUC, sensitivity, and specificity than radiologists for detecting coronary artery stenosis > 50 percent on computed tomography angiography (CTA), according to a new 17-study meta-analysis.