Can a New AI Tool Have an Impact in MRI Screening for Prostate Cancer?
In addition to segmentation of the prostate, the artificial intelligence (AI)-enabled advance reportedly facilitates PI-RADS scoring by assessing the size and intensity of possible lesions.
An emerging advance in segmenting and analyzing prostate lesions on magnetic resonance imaging (MRI) may help reduce the rate of misdiagnosis and enhance the efficiency of screening for prostate cancer.
Incorporating artificial intelligence (AI) technology, the new PI-RADS assistant (RSIP Vision) provides a baseline for scoring through the established Prostate Imaging Reporting and Data System (PI-RADS) with automated segmentation of the prostate as well as detection and analysis of lesions, according to the company.
RSIP Vision said the PI-RADS assistant assesses a variety of lesion parameters, including intensity, dimensions, and restriction, and enables objective follow-up comparison to lesions from previous MRI exams.
“Reviewing these scans accounts for a large portion of the radiologist’s workload. The PI-RADS assistant will significantly reduce examination time, improve scoring accuracy and precision, and ultimately lead to better clinical outcomes,” emphasized Rabeeh Fares, MD, a senior radiologist at the Tel-Aviv Sourasky Medical Center in Israel.
Dr. Fares, who was involved with the development of the PI-RADS assistant, noted that MRI screening has become increasingly popular for stratifying risk for prostate cancer due to the non-invasive nature of the imaging modality. In addition to a “huge influx of examinations” to report on, Dr. Fares said consistent reporting has been challenging in the past. He pointed out that one of the challenges was the potential of a patient to have scans from multiple MRI machines as the same imaging sequence may appear differently on different MRI devices.
“(This) has a direct effect on the image quality and image appearance,” added Dr. Fares. “This can make it challenging to report accurately, especially in follow-up exams.”
Dr. Fares also noted that variability in PI-RADS reporting has been an issue. He cited an example of two senior radiologists reporting the same lesion in an exam but assigning different PI-RADS scores. The automated objective measurements with the PI-RADS assistant should improve accuracy and consistency with PI-RADS scoring, according to Dr. Fares.
“This way, the whole management ‘wheel’ of prostate cancer patients can move faster and steadier,” noted Dr. Fares.
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.
