A new European Radiology study showed that Siemens Healthineers’ AI-RAD Companion Prostate MR solution can improve radiologists’ lesion assessment accuracy (especially less-experienced rads), while reducing reading times and lesion grading variability.
The researchers had four radiologists (two experienced, two inexperienced) assess lesions in 172 prostate MRI exams, with and without AI support, finding that AI-RAD Companion Prostate MR improved:
- The less-experienced radiologists’ performance, significantly (AUCs: 0.66 to 0.80 & 0.68 to 0.80)
- The experienced rads’ performance, modestly (AUCs: 0.81 to 0.86 & 0.81 to 0.84)
- Overall PI-RADS category and Gleason score correlations (r = 0.45 to 0.57)
- Median reading times (157 to 150 seconds)
The study also highlights Siemens Healthineers’ emergence as an AI research leader, leveraging its relationship / funding advantages over AI-only vendors and its (potentially) greater focus on AI research than its OEM peers to become one of imaging AI’s most-published vendors (here are some of its other recent studies).
Given the role that experience plays in radiologists’ prostate MRI accuracy, and noting prostate MRI’s historical challenges with variability, this study makes a solid case for AI-RAD Companion Prostate MR’s ability to improve rads’ diagnostic performance (without slowing them down). It’s also a reminder that Siemens Healthineers is serious about supporting its homegrown AI portfolio through academic research.
A new Lancet study out of the UK provided the strongest evidence yet that multiparametric ultrasound might deserve a core role in prostate cancer screening, either as a complement or alternative to multiparametric MRI. That could be a big deal given mpMRI’s cost, time, and accessibility challenges, and makes this study worth a deeper look.
The Study – The researchers performed mpUS and mpMRI exams on 306 patients with signs of prostate cancer (either elevated PSAs or abnormal rectal exams), and then conducted targeted biopsies on the 257 patients who had positive imaging findings.
The biopsy results revealed cancer in 133 patients, including 83 clinically significant cancers, while showing how mpUS might contribute to prostate cancer diagnosis:
- mpUS was positive in 272 patients (89%)
- mpMRI was positive in 238 patients (78%)
- mpUS identified 66 clinically significant cases (79%)
- mPMRI identified 77 clinically significant cases (93%)
- mpMRI and mpUS combined to detect all 83 clinically significant cancers
- mpUS exclusively detected 6 clinically significant cancers
- mpMRI exclusively detected 17 clinically significant cancers
In other words, mpUS was only slightly less accurate than mpMRI for clinically significant cancer detection (-4.3%), but led to far more biopsies (+11.1%), while the combined modalities notably improved clinically significant cancer detection (+7.2%).
mpMRI’s role in prostate cancer screening is still secure, but this study shows that mpUS could improve cancer detection if the modalities are used together. Perhaps more importantly, it suggests that mpUS could be a valid prostate cancer detection option for the half of the world that doesn’t have access to advanced imaging or for the many patients who can’t/won’t undergo MRI (orthopedic implants, claustrophobia etc.).