Prostate CancerEvaluation of Prostate Cancer Detection with Ultrasound Real-Time Elastography: A Comparison with Step Section Pathological Analysis after Radical Prostatectomy
Introduction
The use of prostate-specific antigen (PSA) as a diagnostic and screening tool has led to a significant rise in the number of patients undergoing prostate biopsy. However the specificity of the PSA test is low [1], [2]. Furthermore, because of the intensive PSA testing, in recent years prostate tumors have become drastically reduced in size [3] and only a small portion of the prostate is sampled by biopsies. Hence repeat biopsies are often taken; these biopsies have a relatively poor negative predictive value (NPV) with a detection rate of less than 20% [4].
Conventional gray-scale ultrasound has a low sensitivity and specificity for prostate cancer (PCa) detection. It is useful to guide biopsies but insufficient as a screening tool. Thus, an improved imaging modality for PCa detection using targeted biopsies is needed.
Ultrasound-based real-time elastography imaging is a new technique that visualizes the differences in tissue strain produced by freehand compression [5]. Using elastography, the investigator is able to discriminate hard from soft tissue regions within the prostate. The phenomenon is based on the fact that the back-scattered ultrasound signals undergo displacement if the tissue is slightly compressed or decompressed (ie, approximately 2%). Stiffer tissues show less displacement than normal soft tissues (Fig. 1a). For visualization, stiffness values are marked in different colors and are shown in real-time images (Fig. 1b). Following the hypothesis that solid tumors differ in their consistency compared with the adjacent normal tissue, elastography has been investigated as a novel tool for detecting PCa. Promising results have been recently reported in small cohorts [6], [7], [8].
The goal of this study was to assess the value of elastography for localizing PCa in a selected, larger cohort of patients scheduled for radical prostatectomy (RP) by comparing results of the elastogram with PCa foci in whole-mount sections. In addition it was of interest to see whether elastography is feasible in daily routine.
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Patients and methods
A prospective, single-institution, single-observer study was carried out. Between July and October 2007, a total of 109 consecutive patients with biopsy-proven PCa scheduled for open retropubic RP underwent elastography by a single investigator at the day of admission to the hospital. The investigator was blinded to all clinical data. B-mode and elastography findings of all patients were recorded for right and left side of the apex, mid-gland, and base. Areas found to be suspicious for PCa were
Results
Overall, 439 suspicious areas were documented for elastography compared with the 451 tumor foci documented by the pathologist. In histopathology the distribution of the tumors was most prominent for the apical region (40%), followed by the mid-gland (33%), and the base of the prostate (26%), without any significant differences between the sides of the gland. The results obtained by elastography did not differ significantly (Table 2,Fig. 2). The histopathological results are summarized in Table 1
Discussion
To date there is no imaging modality for a routine use that can visualize cancerous foci in the prostate with certainty.
Systematic, randomized ultrasound-guided biopsy is the gold standard for PCa detection, because sensitivity and specificity for visualization of PCa foci using gray-scale ultrasound is low. The correlation of a hypoechoic area to cancer falls short, with reported conformities between 17% and 57% [10]. Furthermore, it is suggested that a high proportion of carcinomas in the
Conclusion
Elastography seems to be a good tool to improve PCa detection in ultrasound investigations. At least one tumor focus has been identified in each patient. Whether elastography is practical as a diagnostic tool, or whether it can be used to develop a targeted biopsy scheme that is at least as sensitive in tumor detection as an extended biopsy scheme has yet to be determined.
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