Understanding the topographical distribution of prostate cancer (PCa) foci is necessary to optimize the biopsy strategy. This study was done to develop a technical approach that facilitates the analysis of the topographical distribution of PCa foci and related pathological findings (i.
FREE DAILY AND WEEKLY NEWSLETTERS OFFERED BY CONTENT OF INTEREST
Did you find this article relevant? Subscribe to UroToday-GUOncToday!
The fields of GU Oncology and Urology are advancing rapidly including new treatments, enrolling clinical trials, screening and surveillance recommendations along with updated guidelines. Join us as one of our subscribers who rely on UroToday as their must-read source for the latest news and data on drugs. Sign up today for blogs, video conversations, conference highlights and abstracts from peer-review publications by disease and condition delivered to your inbox and read on the go.
e. , Gleason score and foci dimensions) in prostatectomy specimens.
The topographical distribution of PCa foci and related pathologic evaluations were documented using the cMDX documentation system. The project was performed in three steps. First, we analyzed the document architecture of cMDX, including textual and graphical information. Second, we developed a data model supporting the topographic analysis of PCa foci and related pathologic parameters. Finally, we retrospectively evaluated the analysis model in 168 consecutive prostatectomy specimens of men diagnosed with PCa who underwent total prostate removal. The distribution of PCa foci were analyzed and visualized in a heat map. The color depth of the heat map was reduced to 6 colors representing the PCa foci frequencies, using an image posterization effect. We randomly defined 9 regions in which the frequency of PCa foci and related pathologic findings were estimated.
Evaluation of the spatial distribution of tumor foci according to Gleason score was enabled by using a filter function for the score, as defined by the user. PCa foci with Gleason score (Gls) 6 were identified in 67. 3% of the patients, of which 55 (48. 2%) also had PCa foci with Gls between 7 and 10. Of 1,173 PCa foci, 557 had Gls 6, whereas 616 PCa foci had Gls >6. PCa foci with Gls 6 were mostly concentrated in the posterior part of the peripheral zone of the prostate, whereas PCa foci with Gls >6 extended toward the basal and anterior parts of the prostate. The mean size of PCa foci with Gls 6 was significantly lower than that of PCa with Gls >6 (P<0. 0001).
The cMDX-based technical approach facilitates analysis of the topographical distribution of PCa foci and related pathologic findings in prostatectomy specimens.
Journal of biomedical informatics. 2015 Dec 17 [Epub ahead of print]
Okyaz Eminaga, Axel Semjonow, Elke Eltze, Olaf Bettendorf, Anne Schultheis, Ute Warnecke-Eberz, Ilgar Akbarov, Sebastian Wille, Udo Engelmann
Dept. of Urology, University Hospital of Cologne, Kerpener Straße 62, D-50937 Cologne, Germany. Prostate Center, Dept. of Urology, University Hospital Muenster, Albert-Schweitzer-Campus 1, D-48149 Muenster, Germany. , Institute for Pathology Saarbrücken-Rastpfuhl, Rheinstrasse 2, D-66113 Saarbrücken, Germany. , Institute of Pathology and Cytology, Technikerstrasse 14, D-48465 Schüttorf, Germany. , Institute for Pathology, University Hospital of Cologne, Kerpener Straße 62, D-50937 Cologne, Germany. , Department for visceral surgery, University Hospital Cologne, Kerpener Straße 62, D-50937 Cologne, Germany. , Dept. of Urology, University Hospital of Cologne, Kerpener Straße 62, D-50937 Cologne, Germany. , Dept. of Urology, University Hospital of Cologne, Kerpener Straße 62, D-50937 Cologne, Germany. , Dept. of Urology, University Hospital of Cologne, Kerpener Straße 62, D-50937 Cologne, Germany.