Reader confidence and self-directed learning impacts prostate tumor detection through MR images.
Self-directed learning impacts prostate tumor detection from MRI, according to a study published in the American Journal of Roentgenology.
Researchers from NYU Langone Medical Center in New York evaluated the roles of self-directed learning and continual feedback in the learning curve for tumor detection by novice readers of prostate MRI.
The study included 124 prostate MRI examinations; 52 were classified as positive (PI-RADS category 3 or higher lesion showing Gleason score ≥ 7 tumor at MRI-targeted biopsy) and 72 as negative (PI-RADS category 2 or lower and negative biopsy). These were divided into four equal-sized batches, each with matching numbers of positive and negative examinations and given to six second-year radiology residents for review examinations. Three readers received feedback after each examination showing the preceding case's solution. The learning curve, plotting accuracy over time, was assessed by the Akaike information criterion (AIC).
The results showed some improvement for both groups:
-Accuracy improvement (without a difference in the extent of improvement): 58.1% (batch 1) to 71.0-75.3% (batches 2-4) without feedback
58.1% to 72.0-77.4% with feedback
- Specificity improvement (without a difference in the etxtent of improvement): 53.7% to 68.5%-81.5% without feedback
55.6% to 74.1-81.5% with feebac
-Sensitivity improvement: 59.0-61.5% (batches 1-2) to 71.8-76.9% (batches 3-4) with feedback
Did not improvement without feedback
Sensitivity for transition zone tumors exhibited larger changes with feedback than without feedback, but sensitivity for peripheral zone tumors did not improve in either group. Reader confidence increased only with feedback.
The researchers concluded that the learning curve in prostate tumor detection largely reflected self-directed learning and continual feedback had a lesser effect. Clinical prostate MRI interpretation by novice radiologists warrants caution.
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
FDA Expands Approval of MRI-Guided Ultrasound Treatment for Patients with Parkinson’s Disease
July 9th 2025For patients with advanced Parkinson’s disease, the expanded FDA approval of the Exablate Neuro platform allows for the use of MRI-guided focused ultrasound in performing staged bilateral pallidothalamic tractotomy.
FDA Clears Virtually Helium-Free 1.5T MRI System from Siemens Healthineers
June 26th 2025Offering a cost- and resource-saving DryCool magnet technology, the Magnetom Flow.Ace MRI system reportedly requires 0.7 liters of liquid helium for cooling over the lifetime of the device in contrast to over 1,000 liters commonly utilized with conventional MRI platforms.