Abstract
Objective
To improve prostate cancer diagnostic imaging, a computer-based analysis of the transrectal ultrasound signal (C-TRUS) was developed. Until recently, the C-TRUS existed only as a stand-alone device. Now, C-TRUS was developed into a network-compatible module (C-TRUS-MS). This new technology allows users to transmit C-TRUS images from any internet platform to C-TRUS-MS investigation. After analysis, the cancer-suspicious marked images are then retransmitted via internet. Targeted biopsies can then be taken at the urologists’ office remotely.
Materials and methods
This prospective study investigates whether the rates of prostate cancer detection with C-TRUS-MS “multicenter online” are comparable with those achieved by the stand-alone unit. In addition to patients with a history of multiple systematic random biopsies, a group of patients who had not undergone systematic random biopsies were analyzed.
Results
A total of 1,545 digital images (2–23 per patient, median 6) from 57 urologists were transmitted to the analysis center. After analysis, the color-coded images were sent back electronically and utilized for a maximum of six targeted biopsies. C-TRUS-MS was able to detect prostate cancer in 91 patients.
In addition, we evaluated 75 patients without any previous random biopsies. In this group, C-TRUS-MS was able to detect prostate cancer in 31 out of 75 patients (41%).
Conclusion
The results indicate that C-TRUS-MS “online” achieves similar results as the stand-alone system, independent of the user even with little experience in the method. Furthermore, C-TRUS-MS for the first time is able to detect carcinomas in patients without prior biopsies in a high number by taking only six targeted biopsies.
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Conflict of interest
Prof. Dr. T. Loch was essentially involved in the invention and further development of ANNA/C-TRUS. He is a consultant to Fresenius-Kabi, Germany. All other authors declare that they have no conflict of interest.
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The data of this study were anonymized, due to an agreement of the companies Fresenius Kabi Deutschland GmbH and Deutsches Institut für künstliche Intelligenz (DfkI). Therefore, a designation of the different centers, which submitted the data, is not possible.
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Grabski, B., Baeurle, L., Loch, A. et al. Computerized transrectal ultrasound of the prostate in a multicenter setup (C-TRUS-MS): detection of cancer after multiple negative systematic random and in primary biopsies. World J Urol 29, 573–579 (2011). https://doi.org/10.1007/s00345-011-0713-0
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DOI: https://doi.org/10.1007/s00345-011-0713-0