Background and Objectives: Evaluate the use of transrectal ultrasonography for detecting prostate cancer. The purpose of this study is to evaluate strain elastography for its potential to aid in the detection of lesions and the direction of subsequent biopsies in cases of prostate cancer. The purpose of this study is to classify sonoelastographic results using grading methods and to compare these results to those obtained from biopsies. The purpose of this study is to link the results of grey scale and sonoelastographic imaging with histology.
Methods: Thirty patients with increased PSA levels and aberrant results on DRE, who were referred to a doctor between July 2018 to February 2019 at Department of Radiology, Chalmeda Anand Rao Institute of Medical Sciences, Bommakal Road, Bommakal, Karimnagar, Telangana, India, were included in prospective research. Transrectal ultrasonography, real-time strain elastography, and a systematic 12-core biopsy were performed on all patients at the same time, with further targeted biopsies taken from problematic locations identified by the real-time strain elastography and transrectal ultrasound. All of these methods' interpretations were compared to the Histopathological diagnosis.
Results: Transrectal ultrasonography was 78.57 percent sensitive, 81.25 percent specific, had a positive predictive value of 78.57 percent, and a negative predictive value of 81.2 percent for detecting prostate cancer. Elastography's sensitivity was 100%, specificity was 50%, positive predictive value was 63.64%, and negative predictive value was 100% when used to detect prostate cancer.
Conclusion: Sonoelastography, when used alone or in conjunction with other ultrasound techniques, is a potential new diagnostic approach for detecting prostate cancer. When compared to traditional ultrasound, elastography provides a higher sensitivity for ruling out prostatic cancers and a higher negative predictive value, both of which help to prevent needless biopsies.
International Journal of Radiology and Diagnostic Imaging
