Towards clinical prostate ultrasound elastography using full inversion approach.

Area of Science:

• Biomedical Engineering
• Medical Imaging
• Oncology

Background:

• Prostate cancer diagnosis relies on methods like digital rectal examination, which has limitations in accuracy and physician dependency.
• Biological changes in cancerous tissues, such as increased stiffness, present a target for improved diagnostic techniques.
• Early and accurate diagnosis is crucial for effective prostate cancer management.

Purpose of the Study:

• To develop a quantitative imaging technique for mapping prostate tissue's relative elasticity modulus.
• To create a diagnostic tool that overcomes the limitations of manual palpation in detecting small prostate lesions.
• To establish an accurate, physician-independent method for early prostate cancer detection.

Main Methods:

• A quasistatic elastography technique utilizing ultrasound imaging to measure tissue displacements from mechanical stimulation.
• Radiofrequency data from a standard ultrasound unit is used for elasticity reconstruction based on mechanics principles.
• An iterative inverse problem framework is employed for accurate reconstruction of tissue elasticity.

Main Results:

• Phantom studies demonstrated high accuracy with reconstruction errors under 12%.
• Clinical pilot studies showed marked tissue stiffening in cancerous areas, consistent with histopathology findings.
• The technique accurately identified cancerous lesions by correlating high stiffness areas with histopathology-confirmed cancer locations.

Conclusions:

• The proposed elastography method is accurate for detecting prostate cancerous lesions.
• The system requires no additional hardware and features an easily implementable algorithm, suggesting a low-cost diagnostic tool.
• This technique shows potential as an effective clinical tool for improving prostate cancer diagnosis.