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Updated: Jun 3, 2026

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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
[Dynamic contrast-enhanced MRI of the prostate: comparison of two different post-processing algorithms]
D Beyersdorff1, L Lüdemann, E Dietz
1Department of Radiology, Charité, Universitätsmedizin Berlin, Campus Mitte. dirk.beyersdorff@charite.de
Summary
A commercial software tool and a custom algorithm showed similar effectiveness in detecting prostate cancer using dynamic contrast-enhanced MRI. Both methods provide reliable analysis for identifying prostate cancer, aiding in diagnosis.
Area of Science:
- Radiology
- Oncology
- Medical Imaging Analysis
Background:
- Prostate cancer detection relies heavily on advanced imaging techniques.
- Dynamic contrast-enhanced MRI (DCE-MRI) offers valuable insights into prostate tissue perfusion.
- Accurate post-processing of DCE-MRI data is crucial for reliable cancer detection.
Purpose of the Study:
- To assess the efficacy of a commercial post-processing software for prostate cancer detection via DCE-MRI.
- To compare its performance against a custom-developed algorithm in clinical settings.
Main Methods:
- Forty-eight patients with confirmed prostate cancer underwent standard and DCE-MRI before prostatectomy.
- Data were analyzed using both a commercial tool (Dyna CAD for Prostate) and a custom algorithm.
- Histopathology served as the gold standard for comparison.
Main Results:
- Sensitivity for prostate cancer detection was 78% for the custom algorithm and 60% for the commercial tool.
- Specificities were 79% and 82%, respectively.
- No statistically significant difference (p=0.06) was found between the two algorithms' detection capabilities.
Conclusions:
- The commercial software and custom algorithm demonstrated comparable performance in detecting prostate cancer.
- The commercial tool provides a reliable and efficient method for analyzing DCE-MRI in prostate cancer diagnosis.
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