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No AccessJournal of UrologyAdult Urology1 Sep 2015Accuracy of Magnetic Resonance Imaging/Ultrasound Fusion Targeted Biopsies to Diagnose Clinically Significant Prostate Cancer in Enlarged Compared to Smaller Prostates Arachk de Gorski, Morgan Rouprêt, Benoit Peyronnet, Chloé Le Cossec, Benjamin Granger, Eva Comperat, Olivier Cussenot, Raphaële Renard-Penna, and Pierre Mozer Arachk de GorskiArachk de Gorski Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France , Morgan RouprêtMorgan Rouprêt Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France GRC5, ONCOTYPE-Uro, Institut Universitaire de Cancérologie, Université Pierre et Marie Curie-Université Paris 06, Paris, France , Benoit PeyronnetBenoit Peyronnet Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France , Chloé Le CossecChloé Le Cossec Academic Department of Biostatistics, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France , Benjamin GrangerBenjamin Granger Academic Department of Biostatistics, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France , Eva ComperatEva Comperat Academic Department of Pathology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France , Olivier CussenotOlivier Cussenot Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France GRC5, ONCOTYPE-Uro, Institut Universitaire de Cancérologie, Université Pierre et Marie Curie-Université Paris 06, Paris, France , Raphaële Renard-PennaRaphaële Renard-Penna Academic Department of Radiology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France , and Pierre MozerPierre Mozer Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France Institute for Intelligent Systems and Robotics, Université Pierre et Marie Curie-Université Paris 06, Paris, France View All Author Informationhttps://doi.org/10.1016/j.juro.2015.03.025AboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract Purpose: We assessed the accuracy of magnetic resonance imaging/transrectal ultrasound fusion biopsies to diagnose prostate cancer according to gland size. Materials and Methods: A prospective study was performed in 232 men with a first round biopsy, multiparametric magnetic resonance imaging with a lesion, a Likert score of 2 or greater and prostate specific antigen less than 10 ng/ml. All men underwent a standard 12-core protocol plus a protocol of 2 or 3 targeted cores. Significant prostate cancer was defined as at least 1 core with a Gleason score of 7 (3 + 4) or 6 with a greater than 4 mm maximal cancer core length. Results: Mean ± SD patient age was 64 ± 6.4 years, mean prostate specific antigen was 6.65 ± 1.8 ng/ml and mean prostate volume was 40 ± 24.3 ml. The overall detection rate of clinically significant prostate cancer was 44%. The detection rate of clinically significant prostate cancer by magnetic resonance imaging-transrectal ultrasound fusion guided biopsy was 77% for prostate glands less than 30 cm3, and 61%, 47% and 34% for glands 30 to less than 38.5, 38.5 to less than 55 and 55 to 160 cm3, respectively (p = 0.001). Differences in prostate cancer detection rates between the standard and targeted protocols were not significant for patients with a prostate volume of 40 cm3 or less (p = 0.8). Conversely 12 patients with a prostate volume greater than 40 cm3 had clinically significant prostate cancer using the targeted but not the standard protocol and in 3 prostate cancer was detected by the standard but not the targeted protocol (p = 0.04). Conclusions: Magnetic resonance imaging-transrectal ultrasound fusion biopsies increased the yield of first round prostate biopsies in patients with a prostate volume greater than 40 cm3. References 1 : Cancer statistics, 2013. CA Cancer J Clin2013; 63: 11. Google Scholar 2 : EAU guidelines on prostate cancer. Part 1: screening, diagnosis, and local treatment with curative intent-update 2013. Eur Urol2014; 65: 124. Google Scholar 3 : Is it possible to predict low-volume and insignificant prostate cancer by core needle biopsies?. APMIS2013; 121: 257. Google Scholar 4 : Transrectal ultrasonography-guided biopsy does not reliably identify dominant cancer location in men with low-risk prostate cancer. BJU Int2012; 110: 50. Google Scholar 5 : Low accuracy of routine ultrasound-guided systematic 12-core biopsies in prostate tumor mapping. Can J Urol2012; 19: 6366. Google Scholar 6 : Value of ultrasound-guided systematic sextant biopsies in prostate tumor mapping. Eur Urol1999; 35: 289. Google Scholar 7 : Repeat prostate biopsy—when, where, and now. Urol Oncol2009; 27: 312. Google Scholar 8 : Transrectal saturation technique may improve cancer detection as an initial prostate biopsy strategy in men with prostate-specific antigen <10 ng/ml. Eur Urol2014; 65: 1178. Google Scholar 9 : Is an extended 20-core prostate biopsy protocol more efficient than the standard 12-core? A randomized multicenter trial. J Urol2013; 190: 77. Link, Google Scholar 10 : The Vienna nomogram: validation of a novel biopsy strategy defining the optimal number of cores based on patient age and total prostate volume. J Urol2005; 174: 1256. Link, Google Scholar 11 : Prostate Health Index (PHI) and prostate cancer antigen 3 (PCA3) significantly improve prostate cancer detection at initial biopsy in a total PSA range of 2-10 ng/ml. PLoS One2013; 8: e67687. Google Scholar 12 : Urine TMPRSS2: ERG fusion transcript stratifies prostate cancer risk in men with elevated serum PSA. Sci Transl Med2011; 3: 94ra72. Google Scholar 13 : The relationship of prostate gland volume to extended needle biopsy on prostate cancer detection. J Urol2003; 169: 130. Link, Google Scholar 14 : Optimization of prostate cancer diagnosis by increasing the number of core biopsies based on gland volume. Int J Clin Exp Pathol2012; 5: 892. Google Scholar 15 : Is it effective to perform two more prostate biopsies according to prostate-specific antigen level and prostate volume in detecting prostate cancer? Prospective study of 10-core and 12-core prostate biopsy. Urol J2012; 9: 491. Google Scholar 16 : 3D versus 2D systematic transrectal ultrasound-guided prostate biopsy: higher cancer detection rate in clinical practice. Prostate Cancer2013; 2013: 783243. Google Scholar 17 : Has magnetic resonance-guided biopsy of the prostate become the standard of care?. Eur Urol2013; 64: 713. Google Scholar 18 : Utility of multiparametric mri suspicion levels in detecting prostate cancer. J Urol2013; 190: 1721. Link, Google Scholar 19 : Assessment of prostate cancer aggressiveness using dynamic contrast-enhanced magnetic resonance imaging at 3 T. Eur Urol2013; 64: 448. Google Scholar 20 : Multiparametric MRI for prostate cancer localization in correlation to whole-mount histopathology. J Magn Reson Imaging2013; 37: 1392. Google Scholar 21 : Standards of Reporting for MRI-targeted Biopsy Studies (START) of the prostate: recommendations from an international working group. Eur Urol2013; 64: 544. Google Scholar 22 : First round of targeted biopsies using magnetic resonance Imaging/ultrasonography fusion compared with conventional transrectal ultrasonsgraphy-guided biopsies for the diagnosis of localised prostate cancer. BJU Int2015; 115: 50. Google Scholar 23 : Prostate cancer diagnosis: multiparametric mr-targeted biopsy with cognitive and transrectal US-MR fusion guidance versus systematic biopsy—prospective multicenter study. Radiology2013; 268: 461. Google Scholar 24 : Accuracy of high resolution (1.5 tesla) pelvic phased array magnetic resonance imaging (MRI) in staging prostate cancer in candidates for radical prostatectomy: results from a prospective study. Urol Oncol2013; 31: 448. Google Scholar 25 : ESUR prostate MR guidelines 2012. Eur Radiol2012; 22: 746. Google Scholar 26 : Validation of the European Society of Urogenital Radiology scoring system for prostate cancer diagnosis on multiparametric magnetic resonance imaging in a cohort of repeat biopsy patients. Eur Urol2012; 62: 986. Google Scholar 27 : Can magnetic resonance-ultrasound fusion biopsy improve cancer detection in enlarged prostates?. J Urol2013; 190: 2020. Link, Google Scholar 28 : Detection of clinically significant prostate cancer using magnetic resonance imaging-ultrasound fusion targeted biopsy: a systematic review. Eur Urol2014; . Epub ahead of print. Google Scholar © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetailsCited byCosta D, Lotan Y, Rofsky N, Roehrborn C, Liu A, Hornberger B, Xi Y, Francis F and Pedrosa I (2015) Assessment of Prospectively Assigned Likert Scores for Targeted Magnetic Resonance Imaging-Transrectal Ultrasound Fusion Biopsies in Patients with Suspected Prostate CancerJournal of Urology, VOL. 195, NO. 1, (80-87), Online publication date: 1-Jan-2016.Dall'Era M and Carroll P (2015) What is the Optimal Way to Select Candidates for Active Surveillance of Prostate Cancer?Journal of Urology, VOL. 194, NO. 3, (615-616), Online publication date: 1-Sep-2015. Volume 194Issue 3September 2015Page: 669-673 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.Keywordsprostatic neoplasmsbiopsyultrasonographymagnetic resonance imagingdiagnostic imagingMetrics Author Information Arachk de Gorski Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France More articles by this author Morgan Rouprêt Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France GRC5, ONCOTYPE-Uro, Institut Universitaire de Cancérologie, Université Pierre et Marie Curie-Université Paris 06, Paris, France More articles by this author Benoit Peyronnet Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France More articles by this author Chloé Le Cossec Academic Department of Biostatistics, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France More articles by this author Benjamin Granger Academic Department of Biostatistics, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France More articles by this author Eva Comperat Academic Department of Pathology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France More articles by this author Olivier Cussenot Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France GRC5, ONCOTYPE-Uro, Institut Universitaire de Cancérologie, Université Pierre et Marie Curie-Université Paris 06, Paris, France More articles by this author Raphaële Renard-Penna Academic Department of Radiology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France More articles by this author Pierre Mozer Academic Department of Urology, Assistance Publique-Hôpitaux de Paris, Hôpital Pitié-Salpétrière, Paris, France Institute for Intelligent Systems and Robotics, Université Pierre et Marie Curie-Université Paris 06, Paris, France More articles by this author Expand All Advertisement PDF downloadLoading ...