Bjoern Grabski1, Leif Baeurle, Annemie Loch, Bjoern Wefer, Udo Paul, Tillmann Loch. 1. Klinik für Urologie, Diakonissenkrankenhaus Flensburg, Lehrkrankenhaus der Christian-Albrechts-Universität Kiel des Universitätsklinikums Schleswig-Holstein, Marienhoelzungsweg 2, 24939 Flensburg, Germany. grabskibj@diako.de
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.
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.
Authors: T Loch; I Leuschner; C Genberg; K Weichert-Jacobsen; F Küppers; M Retz; J Lehmann; E Yfantis; M Evans; V Tsarev; M Stöckle Journal: Urologe A Date: 2000-07 Impact factor: 0.639
Authors: T Loch; I Leuschner; C Genberg; K Weichert-Jacobsen; F Küppers; E Yfantis; M Evans; V Tsarev; M Stöckle Journal: Prostate Date: 1999-05-15 Impact factor: 4.104
Authors: Richard A Ashley; Brant A Inman; Jonathan C Routh; Lance A Mynderse; Matthew T Gettman; Michael L Blute Journal: Eur Urol Date: 2007-11-05 Impact factor: 20.096
Authors: Friedrich Aigner; Georg Schäfer; Eberhard Steiner; Werner Jaschke; Wolfgang Horninger; Thomas R W Herrmann; Udo Nagele; Ethan J Halpern; Ferdinand Frauscher Journal: World J Urol Date: 2011-12-18 Impact factor: 4.226