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Transperineal Prostate Biopsy Using a Cone-shaped Double-hole Method with Dual-plane Probe Guidance
Published on: June 6, 2025
A biomedical engineering approach to mitigate the errors of prostate biopsy
Hashim Uddin Ahmed1, Mark Emberton, Gordon Kepner
1Division of Surgery and Interventional Science, 4th Floor, Medical School Building, University College London, 74 Huntley Street, London WC1E 6AU, UK. Ahmedhashim.ahmed@ucl.ac.uk
Nature Reviews. Urology
|February 8, 2012
Summary
A new uniform grid sampling strategy for prostate biopsy can improve cancer detection. This biomedical engineering approach enhances detection efficiency over traditional divergent methods, aiding in better risk stratification for prostate cancer.
Area of Science:
- Biomedical Engineering
- Urology
- Medical Imaging
Background:
- Current prostate cancer detection relies on PSA testing and TRUS-guided biopsy.
- Limitations exist in PSA screening regarding cancer detection and risk stratification.
- The role of TRUS-guided biopsy in diagnostic errors has been under-examined.
Purpose of the Study:
- To evaluate the impact of sampling strategy on TRUS-guided prostate biopsy performance.
- To propose a uniform grid sampling strategy to improve cancer detection efficiency.
- To address suboptimal detection rates in current prostate biopsy protocols.
Main Methods:
- Utilized a biomedical engineering approach to model prostate biopsy sampling.
- Developed a uniform grid sampling strategy contrasted with divergent, nonuniform methods.
- Analyzed detection efficiency based on needle deployment calibration and trajectory.
Main Results:
- A uniform grid sampling strategy demonstrates superior detection efficiency for clinically significant prostate cancer compared to divergent strategies.
- Model shows improved detection for any given number of needle trajectories with uniform grid sampling.
- Calibration of sampling by altering needle deployment distance is feasible.
Conclusions:
- A uniform grid sampling approach is recommended to enhance prostate biopsy accuracy.
- Shifting from divergent to uniform grid sampling can mitigate underdetection and overdiagnosis errors.
- Biomechanical optimization of biopsy sampling is crucial for effective prostate cancer diagnosis.
