Related Experiment Video
Updated: Sep 26, 2025
06:08
A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
400
Locating and sizing tumor nodules in human prostate using instrumented probing - computational framework and
Antonio Candito1, Daniel W Good2,3, Javier Palacio-Torralba1
1Institute of Mechanical, Process and Energy Engineering, School of Engineering and Physical Sciences, Heriot-Watt University, Edinburgh, UK.
Computer Methods in Biomechanics and Biomedical Engineering
|April 21, 2022
Summary
This study introduces a new mechanical probing method to detect and characterize prostate cancer (PCa) nodules. The approach shows promising sensitivity and specificity for early cancer diagnosis.
Area of Science:
- Biomedical Engineering
- Medical Physics
- Oncology
Background:
- Early detection of tumor nodules is critical for effective cancer diagnosis and treatment.
- Prostate cancer (PCa) diagnosis relies on identifying abnormalities within the prostate gland.
Purpose of the Study:
- To investigate the use of mechanical data from prostate probing for detecting and characterizing PCa nodules.
- To develop a computational method for quantifying nodule detectability based on stiffness anomalies.
Main Methods:
- A computational approach was developed to analyze point force measurements and identify stiffness anomalies.
- The method was validated using in silico models and experimental data from 13 ex vivo prostates.
Main Results:
- The study achieved promising sensitivity and specificity in detecting PCa nodules across 44 prostate sections.
- The computational method successfully quantified nodule detectability based on mechanical properties.
Conclusions:
- The proposed mechanical probing method shows potential as a complementary tool for existing PCa diagnostic methods.
- Future research will focus on implementing these detection strategies in vivo using a miniaturized device.
