Computer-assisted analysis of transrectal ultrasound images

Area of Science:

• Medical Imaging
• Urology
• Computer-Aided Diagnosis

Background:

• Transrectal ultrasound (TRUS) is crucial for prostate imaging.
• Standard TRUS systems lack advanced image analysis capabilities.
• Quantitative analysis of TRUS images can improve prostate cancer detection.

Purpose of the Study:

• To develop a flexible microcomputer-based system for direct digitization and analysis of TRUS images.
• To assess the utility of morphometric parameters derived from TRUS images in predicting prostate cancer.
• To evaluate the diagnostic performance of specific TRUS image ratios for prostate cancer detection.

Main Methods:

• Development of a microcomputer system with specialized software for TRUS image processing.
• Digitization and analysis of TRUS images using custom software.
• Correlation of morphometric parameters, including anterior-posterior to transverse axis ratio and presumed circular area ratio (PCAR), with prostate cancer presence.

Main Results:

• The developed system allows for flexible and advanced TRUS image analysis.
• The ratio of anterior-posterior to transverse axis and PCAR were significant predictors of prostate cancer.
• PCAR demonstrated a sensitivity of 93%, specificity of 50%, positive predictive value of 57%, and negative predictive value of 91%.

Conclusions:

• The developed TRUS imaging system offers an efficient, economical, and flexible method for quantitative image analysis.
• Morphometric parameters, particularly PCAR, show potential as objective criteria for selective prostate biopsy.
• This system can aid researchers in the quantitative analysis of TRUS images for improved prostate cancer assessment.