Dr. Andrei Purysko, Cleveland Clinic, USA

AI-Enabled Care Pathway: Shifting the Paradigm in Prostate Cancer Diagnosis

Prostate cancer is the second most common cancer in men worldwide. As clinical guidelines increasingly recommend MRI before biopsy, prostate MRI has become a critical decision point in the diagnostic pathway. However, many imaging departments continue to face challenges such as long acquisition times, motion-sensitive exams, and labor-intensive post-processing.

From Faster Acquisition to AI-Assisted Interpretation

The latest advancements in artificial intelligence are helping address these challenges across the entire prostate MRI workflow. Siemens Healthineers integrates AI during both image acquisition and image interpretation, enabling radiologists to work more efficiently while supporting high-quality patient care.

Using Deep Resolve, AI-powered image reconstruction accelerates prostate MRI acquisition while maintaining diagnostic image quality. A peer-reviewed study demonstrated approximately 39% shorter diffusion-weighted imaging acquisition times compared with conventional workflows.

AI-Rad Companion Prostate MR automatically detects and segments suspicious lesions, visualizes their location, and provides a PI-RADS score recommendation

Courtesy of Radiomedicum Bad Nauheim, Germany

Reducing Workload While Supporting Diagnostic Confidence

Beyond acquisition, AI-Rad Companion Prostate MR automates key post-processing tasks, including prostate segmentation, volume estimation, lesion detection, and fusion biopsy preparation. Clinical experience from Cleveland Clinic suggests a reduction in post-processing user interaction time of approximately 40% for positive cases and more than 80% for negative examinations. In addition, retrospective analysis showed concordance with subspecialty-trained abdominal radiologists in more than 85% of cases, with sensitivity and negative predictive value for clinically significant prostate cancer both exceeding 90%.

Improved quality of prostate TSE acquisition and the lesion visualization with Deep Resolve

Courtesy of University Hospital Tübingen and Siemens Healthineers. Reprinted from Gassenmaier et al., European Journal of Radiology 2021

Improving Collaboration Across the Care Pathway

AI-generated prostate and lesion contours can be exported directly into fusion biopsy systems through standardized DICOM RT-STRUCT files, helping reduce information loss between radiology and urology while supporting precise image-targeted biopsy planning.

Discover the Full Care Pathway

Learn how AI can support prostate MRI from acquisition through biopsy planning, explore the clinical evidence, and read the Cleveland Clinic use case featured in the white paper.