Prostate cancer: The new diagnostic method for the most common cancer in men
A robotic biopsy system called Mona Lisa, integrating MRI and AI, is revolutionizing prostate cancer diagnosis by improving accuracy and reducing complications, according to Prof. David Margel of Assuta Ramat Hachayal. The transperineal approach eliminates infection risks seen in traditional transrectal biopsies and allows precise, pain-reduced sampling for better patient outcomes.
Prostate cancer diagnosis is evolving with advanced technology, shifting away from traditional methods like PSA tests and transrectal biopsies. The Mona Lisa robotic system, developed by Assuta Ramat Hachayal, combines MRI imaging, real-time ultrasound, and AI to create a 3D prostate model. This allows doctors to pinpoint tumors with high precision, reducing the need for multiple punctures and lowering infection risks—especially with its transperineal approach, which avoids rectal entry. The PREVENT study involving 658 patients found zero infections using the transperineal method, compared to a 1.4% infection rate with traditional transrectal biopsies. Prof. David Margel, Director of Innovation at Assuta, emphasizes that accurate first-time biopsies save patients from repeated procedures and delays in treatment. The system also minimizes tissue trauma and pain, improving patient comfort. AI integration further enhances diagnostic precision by refining needle placement and sample analysis. Traditional fusion systems relied on practitioner skill, but robotic automation ensures consistency. Margel notes that these advancements enable tailored treatment plans based on tumor location, size, and characteristics, marking a shift toward personalized medicine. Beyond technical improvements, the new approach reduces complications and speeds up diagnosis. The transperineal method’s safety profile aligns with global urological guidelines, which increasingly favor this technique. Assuta’s system exemplifies how robotics and AI are transforming prostate cancer care, offering safer, more efficient, and patient-centered solutions.
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