A novel technique using three-dimensionally documented biopsy mapping allows precise re-visiting of prostate cancer foci with serial surveillance of cell cycle progression gene panel

Background Conventional systematic biopsy has the shortcoming of sampling error and reveals “no evidence of cancer” with a rate of >50% on active surveillance (AS). The objective of this study is to report our initial experience of applying a 3D‐documented biopsy‐mapping technology to precisely r...

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Published inThe Prostate Vol. 75; no. 8; pp. 863 - 871
Main Authors Ukimura, Osamu, Gross, Mitchell E, de Castro Abreu, Andre Luis, Azhar, Raed A., Matsugasumi, Toru, Ushijima, So, Kanazawa, Motohiro, Aron, Manju, Gill, Inderbir S.
Format Journal Article
LanguageEnglish
Published United States Blackwell Publishing Ltd 01.06.2015
Wiley Subscription Services, Inc
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ISSN0270-4137
1097-0045
1097-0045
DOI10.1002/pros.22969

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Abstract Background Conventional systematic biopsy has the shortcoming of sampling error and reveals “no evidence of cancer” with a rate of >50% on active surveillance (AS). The objective of this study is to report our initial experience of applying a 3D‐documented biopsy‐mapping technology to precisely re‐visit geographically documented low‐risk prostate cancer and to perform serial analysis of cell‐cycle‐progression (CCP) gene‐panel. Methods Over a period of 40 months (1/2010–4/2013), the 3D‐biopsy‐mapping technique, in which the spatial location of biopsy‐trajectory was digitally recorded (Koelis), was carried out. A pair of diagnostic (1st‐look) and surveillance (2nd‐look) biopsy were performed per subject (n = 25), with median interval of 12 months. The documented biopsy‐trajectory was used as a target to guide the re‐visiting biopsy from the documented cancer focus, as well as the targeted field‐biopsy from the un‐sampled prostatic field adjacent to negative diagnostic biopsies. The accuracy of re‐visiting biopsy and biopsy‐derived CCP signatures were evaluated in the pair of the serial biopsy‐cores. Results The 1st‐look‐biopsy revealed a total of 43 cancer lesions (1.7 per patient). The accuracy of re‐visiting cancer was 86% (37/43) per lesion, 76% (65/86) per core, and 80% (20/25) per patient. This technology also provided an opportunity for 3D‐targeted field‐biopsy in order to potentially minimize sampling errors. The CCP gene‐panel of the 1st‐look (−0.59) versus 2nd‐look (−0.37) samples had no significant difference (P = 0.4); which suggested consistency in the molecular signature of the known cancer foci during the short‐time interval of median 12 months. Any change in CCP of the same cancer foci would be likely due to change in sampling location from the less to more significant portion in the cancer foci rather than true molecular progression. The study limitations include a small number of the patients. Conclusion The 3D‐documented biopsy‐mapping technology achieved an encouraging re‐sampling accuracy of 86% from the known prostate cancer foci, allowing the serial analysis of biopsy‐derived CCP signatures. Prostate 75:863–871, 2015. © 2015 Wiley Periodicals, Inc.
AbstractList Background Conventional systematic biopsy has the shortcoming of sampling error and reveals "no evidence of cancer" with a rate of >50% on active surveillance (AS). The objective of this study is to report our initial experience of applying a 3D-documented biopsy-mapping technology to precisely re-visit geographically documented low-risk prostate cancer and to perform serial analysis of cell-cycle-progression (CCP) gene-panel. Methods Over a period of 40 months (1/2010-4/2013), the 3D-biopsy-mapping technique, in which the spatial location of biopsy-trajectory was digitally recorded (Koelis), was carried out. A pair of diagnostic (1st-look) and surveillance (2nd-look) biopsy were performed per subject (n=25), with median interval of 12 months. The documented biopsy-trajectory was used as a target to guide the re-visiting biopsy from the documented cancer focus, as well as the targeted field-biopsy from the un-sampled prostatic field adjacent to negative diagnostic biopsies. The accuracy of re-visiting biopsy and biopsy-derived CCP signatures were evaluated in the pair of the serial biopsy-cores. Results The 1st-look-biopsy revealed a total of 43 cancer lesions (1.7 per patient). The accuracy of re-visiting cancer was 86% (37/43) per lesion, 76% (65/86) per core, and 80% (20/25) per patient. This technology also provided an opportunity for 3D-targeted field-biopsy in order to potentially minimize sampling errors. The CCP gene-panel of the 1st-look (-0.59) versus 2nd-look (-0.37) samples had no significant difference (P=0.4); which suggested consistency in the molecular signature of the known cancer foci during the short-time interval of median 12 months. Any change in CCP of the same cancer foci would be likely due to change in sampling location from the less to more significant portion in the cancer foci rather than true molecular progression. The study limitations include a small number of the patients. Conclusion The 3D-documented biopsy-mapping technology achieved an encouraging re-sampling accuracy of 86% from the known prostate cancer foci, allowing the serial analysis of biopsy-derived CCP signatures. Prostate 75:863-871, 2015. copyright 2015 Wiley Periodicals, Inc.
Background Conventional systematic biopsy has the shortcoming of sampling error and reveals "no evidence of cancer" with a rate of >50% on active surveillance (AS). The objective of this study is to report our initial experience of applying a 3D-documented biopsy-mapping technology to precisely re-visit geographically documented low-risk prostate cancer and to perform serial analysis of cell-cycle-progression (CCP) gene-panel. Methods Over a period of 40 months (1/2010-4/2013), the 3D-biopsy-mapping technique, in which the spatial location of biopsy-trajectory was digitally recorded (Koelis), was carried out. A pair of diagnostic (1st-look) and surveillance (2nd-look) biopsy were performed per subject (n=25), with median interval of 12 months. The documented biopsy-trajectory was used as a target to guide the re-visiting biopsy from the documented cancer focus, as well as the targeted field-biopsy from the un-sampled prostatic field adjacent to negative diagnostic biopsies. The accuracy of re-visiting biopsy and biopsy-derived CCP signatures were evaluated in the pair of the serial biopsy-cores. Results The 1st-look-biopsy revealed a total of 43 cancer lesions (1.7 per patient). The accuracy of re-visiting cancer was 86% (37/43) per lesion, 76% (65/86) per core, and 80% (20/25) per patient. This technology also provided an opportunity for 3D-targeted field-biopsy in order to potentially minimize sampling errors. The CCP gene-panel of the 1st-look (-0.59) versus 2nd-look (-0.37) samples had no significant difference (P=0.4); which suggested consistency in the molecular signature of the known cancer foci during the short-time interval of median 12 months. Any change in CCP of the same cancer foci would be likely due to change in sampling location from the less to more significant portion in the cancer foci rather than true molecular progression. The study limitations include a small number of the patients. Conclusion The 3D-documented biopsy-mapping technology achieved an encouraging re-sampling accuracy of 86% from the known prostate cancer foci, allowing the serial analysis of biopsy-derived CCP signatures. Prostate 75:863-871, 2015. © 2015 Wiley Periodicals, Inc.
Conventional systematic biopsy has the shortcoming of sampling error and reveals "no evidence of cancer" with a rate of >50% on active surveillance (AS). The objective of this study is to report our initial experience of applying a 3D-documented biopsy-mapping technology to precisely re-visit geographically documented low-risk prostate cancer and to perform serial analysis of cell-cycle-progression (CCP) gene-panel. Over a period of 40 months (1/2010-4/2013), the 3D-biopsy-mapping technique, in which the spatial location of biopsy-trajectory was digitally recorded (Koelis), was carried out. A pair of diagnostic (1st-look) and surveillance (2nd-look) biopsy were performed per subject (n = 25), with median interval of 12 months. The documented biopsy-trajectory was used as a target to guide the re-visiting biopsy from the documented cancer focus, as well as the targeted field-biopsy from the un-sampled prostatic field adjacent to negative diagnostic biopsies. The accuracy of re-visiting biopsy and biopsy-derived CCP signatures were evaluated in the pair of the serial biopsy-cores. The 1st-look-biopsy revealed a total of 43 cancer lesions (1.7 per patient). The accuracy of re-visiting cancer was 86% (37/43) per lesion, 76% (65/86) per core, and 80% (20/25) per patient. This technology also provided an opportunity for 3D-targeted field-biopsy in order to potentially minimize sampling errors. The CCP gene-panel of the 1st-look (-0.59) versus 2nd-look (-0.37) samples had no significant difference (P = 0.4); which suggested consistency in the molecular signature of the known cancer foci during the short-time interval of median 12 months. Any change in CCP of the same cancer foci would be likely due to change in sampling location from the less to more significant portion in the cancer foci rather than true molecular progression. The study limitations include a small number of the patients. The 3D-documented biopsy-mapping technology achieved an encouraging re-sampling accuracy of 86% from the known prostate cancer foci, allowing the serial analysis of biopsy-derived CCP signatures.
Conventional systematic biopsy has the shortcoming of sampling error and reveals "no evidence of cancer" with a rate of >50% on active surveillance (AS). The objective of this study is to report our initial experience of applying a 3D-documented biopsy-mapping technology to precisely re-visit geographically documented low-risk prostate cancer and to perform serial analysis of cell-cycle-progression (CCP) gene-panel.BACKGROUNDConventional systematic biopsy has the shortcoming of sampling error and reveals "no evidence of cancer" with a rate of >50% on active surveillance (AS). The objective of this study is to report our initial experience of applying a 3D-documented biopsy-mapping technology to precisely re-visit geographically documented low-risk prostate cancer and to perform serial analysis of cell-cycle-progression (CCP) gene-panel.Over a period of 40 months (1/2010-4/2013), the 3D-biopsy-mapping technique, in which the spatial location of biopsy-trajectory was digitally recorded (Koelis), was carried out. A pair of diagnostic (1st-look) and surveillance (2nd-look) biopsy were performed per subject (n = 25), with median interval of 12 months. The documented biopsy-trajectory was used as a target to guide the re-visiting biopsy from the documented cancer focus, as well as the targeted field-biopsy from the un-sampled prostatic field adjacent to negative diagnostic biopsies. The accuracy of re-visiting biopsy and biopsy-derived CCP signatures were evaluated in the pair of the serial biopsy-cores.METHODSOver a period of 40 months (1/2010-4/2013), the 3D-biopsy-mapping technique, in which the spatial location of biopsy-trajectory was digitally recorded (Koelis), was carried out. A pair of diagnostic (1st-look) and surveillance (2nd-look) biopsy were performed per subject (n = 25), with median interval of 12 months. The documented biopsy-trajectory was used as a target to guide the re-visiting biopsy from the documented cancer focus, as well as the targeted field-biopsy from the un-sampled prostatic field adjacent to negative diagnostic biopsies. The accuracy of re-visiting biopsy and biopsy-derived CCP signatures were evaluated in the pair of the serial biopsy-cores.The 1st-look-biopsy revealed a total of 43 cancer lesions (1.7 per patient). The accuracy of re-visiting cancer was 86% (37/43) per lesion, 76% (65/86) per core, and 80% (20/25) per patient. This technology also provided an opportunity for 3D-targeted field-biopsy in order to potentially minimize sampling errors. The CCP gene-panel of the 1st-look (-0.59) versus 2nd-look (-0.37) samples had no significant difference (P = 0.4); which suggested consistency in the molecular signature of the known cancer foci during the short-time interval of median 12 months. Any change in CCP of the same cancer foci would be likely due to change in sampling location from the less to more significant portion in the cancer foci rather than true molecular progression. The study limitations include a small number of the patients.RESULTSThe 1st-look-biopsy revealed a total of 43 cancer lesions (1.7 per patient). The accuracy of re-visiting cancer was 86% (37/43) per lesion, 76% (65/86) per core, and 80% (20/25) per patient. This technology also provided an opportunity for 3D-targeted field-biopsy in order to potentially minimize sampling errors. The CCP gene-panel of the 1st-look (-0.59) versus 2nd-look (-0.37) samples had no significant difference (P = 0.4); which suggested consistency in the molecular signature of the known cancer foci during the short-time interval of median 12 months. Any change in CCP of the same cancer foci would be likely due to change in sampling location from the less to more significant portion in the cancer foci rather than true molecular progression. The study limitations include a small number of the patients.The 3D-documented biopsy-mapping technology achieved an encouraging re-sampling accuracy of 86% from the known prostate cancer foci, allowing the serial analysis of biopsy-derived CCP signatures.CONCLUSIONThe 3D-documented biopsy-mapping technology achieved an encouraging re-sampling accuracy of 86% from the known prostate cancer foci, allowing the serial analysis of biopsy-derived CCP signatures.
Background Conventional systematic biopsy has the shortcoming of sampling error and reveals “no evidence of cancer” with a rate of >50% on active surveillance (AS). The objective of this study is to report our initial experience of applying a 3D‐documented biopsy‐mapping technology to precisely re‐visit geographically documented low‐risk prostate cancer and to perform serial analysis of cell‐cycle‐progression (CCP) gene‐panel. Methods Over a period of 40 months (1/2010–4/2013), the 3D‐biopsy‐mapping technique, in which the spatial location of biopsy‐trajectory was digitally recorded (Koelis), was carried out. A pair of diagnostic (1st‐look) and surveillance (2nd‐look) biopsy were performed per subject (n = 25), with median interval of 12 months. The documented biopsy‐trajectory was used as a target to guide the re‐visiting biopsy from the documented cancer focus, as well as the targeted field‐biopsy from the un‐sampled prostatic field adjacent to negative diagnostic biopsies. The accuracy of re‐visiting biopsy and biopsy‐derived CCP signatures were evaluated in the pair of the serial biopsy‐cores. Results The 1st‐look‐biopsy revealed a total of 43 cancer lesions (1.7 per patient). The accuracy of re‐visiting cancer was 86% (37/43) per lesion, 76% (65/86) per core, and 80% (20/25) per patient. This technology also provided an opportunity for 3D‐targeted field‐biopsy in order to potentially minimize sampling errors. The CCP gene‐panel of the 1st‐look (−0.59) versus 2nd‐look (−0.37) samples had no significant difference (P = 0.4); which suggested consistency in the molecular signature of the known cancer foci during the short‐time interval of median 12 months. Any change in CCP of the same cancer foci would be likely due to change in sampling location from the less to more significant portion in the cancer foci rather than true molecular progression. The study limitations include a small number of the patients. Conclusion The 3D‐documented biopsy‐mapping technology achieved an encouraging re‐sampling accuracy of 86% from the known prostate cancer foci, allowing the serial analysis of biopsy‐derived CCP signatures. Prostate 75:863–871, 2015. © 2015 Wiley Periodicals, Inc.
Author Gross, Mitchell E
Kanazawa, Motohiro
Ushijima, So
de Castro Abreu, Andre Luis
Gill, Inderbir S.
Azhar, Raed A.
Ukimura, Osamu
Aron, Manju
Matsugasumi, Toru
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  email: Correspondence to: Osamu Ukimura, MD, PhD, USC Institute of Urology, Keck School of Medicine, University of Southern California/Norris Cancer Center, 1441 Eastlake Ave, Suite 7416D, Los Angeles, CA 90089. , ukimura@usc.edu
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Issue 8
Keywords biopsy
three-dimensional
prostate neoplasms
active surveillance
ultrasound
Language English
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2015 Wiley Periodicals, Inc.
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PublicationDate 2015-06
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  year: 2015
  text: 2015-06
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PublicationTitle The Prostate
PublicationTitleAlternate Prostate
PublicationYear 2015
Publisher Blackwell Publishing Ltd
Wiley Subscription Services, Inc
Publisher_xml – name: Blackwell Publishing Ltd
– name: Wiley Subscription Services, Inc
References Baumann M, Mozer P, Daanen V, Troccaz J. Prostate biopsy tracking with deformation estimation. Med Image Anal 2012; 16:562-576.
Hoeks CM, Somford DM, van Oort IM, Vergunst H, Oddens JR, Smits GA, Roobol MJ, Bul M, Hambrock T, Witjes JA, Fütterer JJ, Hulsbergen-van de Kaa, Barentsz CA. Value of 3-T multiparametric magnetic resonance imaging and magnetic resonance-guided biopsy for early risk restratification in active surveillance of low-risk prostate cancer: A prospective multicenter cohort study. Invest Radiol 2013; 49:165-172.
Bul M, Zhu X, Valdagni R, Pickles T, Kakehi Y, Rannikko A, Bjartell A, van der Schoot DK, Cornel EB, Conti GN, Boevé ER, Staerman F, Vis-Maters JJ, Vergunst H, Jaspars JJ, Strölin P, van Muilekom E, Schröder FH, Bangma CH, Roobol MJ. Active surveillance for low-risk prostate cancer worldwide: The PRIAS study. Eur Urol 2013; 63:597-603.
Karnik VV, Fenster A, Bax J, Gardi L, Gyacskov I, Montreuil J, Romagnoli C, Ward AD. Evaluation of inter-session 3D-TRUS to 3D-TRUS image registration for repeat prostate biopsies. Med Image Comput Comput Assist Interv 2010; 13:17-25.
Ehdaie B, Vertosick E, Spaliviero M, Giallo-Uvino A, Taur Y, O'Sullivan M, Livingston J, Sogani P, Eastham J, Scardino P, Touijer K. The impact of repeat biopsies on infectious complications in men with prostate cancer on active surveillance. J Urol 2014; 191:660-664.
Onik G, Miessau M, Bostwick DG. Three-dimensional prostate mapping biopsy has a potentially significant impact on prostate cancer management. J Clin Oncol 2009; 27:4321-4326.
Berglund RK, Masterson TA, Vora KC, Eggener SE, Eastham JA, Guillonneau BD. Pathological upgrading and up staging with immediate repeat biopsy in patients eligible for active surveillance. J Urol 2008; 180:1964-1967.
Turkbey B, Xu S, Kruecker J, Locklin J, Pang Y, Bernardo M, Merino MJ, Wood BJ, Choyke PL, Pinto PA. Documenting the location of prostate biopsies with image fusion. BJU Int 2011; 107:53-57.
Fradet V, Kurhanewicz J, Cowan JE, Karl A, Coakley FV, Shinohara K, Carroll PR. Prostate cancer managed with active surveillance: Role of anatomic MR imaging and MR spectroscopic imaging. Radiology 2010; 256:176-183.
Cary KC, Cowan JE, Sanford M, Shinohara K, Perez N, Chan JM, Meng MV, Carroll PR. Predictors of pathologic progression on biopsy among men on active surveillance for localized prostate cancer: The value of the pattern of surveillance biopsies. Eur Urol 2014; 66:337-342.
Ukimura O, Coleman J, de la Taille A, Emberton M, Epstein JI, Freedland SJ, Giannarini G, Kibel AS, Montironi R, Ploussard G, Roobol MJ, Scattoni V, Jones JS. Contemporary role of systematic prostate biopsies: Indications, technique, implications on patient care. Eur Urol 2013; 63:214-230.
Mozer P, Baumann M, Chevreau G, Moreau-Gaudry A, Bart S, Renard-Penna R, Comperat E, Conort P, Bitker MO, Chartier-Kastler E, Richard F, Troccaz J. Mapping of transrectal ultrasonographic prostate biopsies: Quality control and learning curve assessment by image. Ultrasound Med 2009; 28:455-460.
Cooperberg MR, Simko JP, Cowan JE, Reid JE, Djalilvand A, Bhatnagar S, Gutin A, Lanchbury JS, Swanson GP, Stone S, Carroll PR. Validation of a cell-cycle progression gene panel to improve risk stratification in a contemporary prostatectomy cohort. J Clin Oncol 2013; 31:1428-1434.
Margel D, Nandy I, Wilson TH, Castro R, Fleshner N. Predictors of pathological progression among men with localized prostate cancer undergoing active surveillance: A sub-analysis of the REDEEM study. J Urol 2013; 190:2039-2046.
Dahabreh IJ, Chung M, Balk EM, Balk EM, Yu WW, Mathew P, Lau J, Ip S. Active surveillance in men with localized prostate cancer: A systematic review. Ann Intern Med 2012; 156:582-590.
Schulte RT, Wood DP, Daignault S, Shah RB, Wei JT. Utility of extended pattern prostate biopsies for tumor localization: Pathologic correlations after radical prostatectomy. Cancer 2008; 113:1559-1565.
Iremashvili V, Manoharan M, Rosenberg DL, Soloway MS. Biopsy features associated with prostate cancer progression in active surveillance patients: Comparison of three statistical models. BJU Int 2013; 111:574-579.
Cuzick J, Swanson GP, Fisher G, Brothman AR, Berney DM, Reid JE, Mesher D, Speights VO, Stankiewicz E, Foster CS, Møller H, Scardino P, Warren JD, Park J, Younus A, Flake 2nd DD, Wagner S, Gutin A, Lanchbury JS, Stone S, Transatlantic Prostate Group. Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: A retrospective study. Lancet Oncol 2011; 12:245-255.
King AC, Livermore A, Laurila TA, Huang W, Jarrard DF. Impact of immediate TRUS rebiopsy in a patient cohort considering active surveillance for favorable risk prostate cancer. Urol Oncol 2013; 31:739-743.
Baco E, Ukimura O, Rud E, Vlatkovic L, Svindland A, Aron M, Palmer S, Matsugasumi T, Marien A, Bernhard JC, Rewcastle JC, Eggesbø HB, Gill IS. Magnetic resonance imaging-transectal ultrasound image-fusion biopsies accurately characterize the index tumor: Correlation with step-sectioned radical prostatectomy specimens in patients. Eur Urol 2014 Sep 17. pii: S0302-2838(14) 00881-1. doi: 10.1016/j.eururo.2014.08.077. PMID:25240973.
Turkbey B, Mani H, Aras O, Ho J, Hoang A, Rastinehad AR, Agarwal H, Shah V, Bernardo M, Pang Y, Daar D, McKinney YL, Linehan WM, Kaushal A, Merino MJ, Wood BJ, Pinto PA, Choyke PL. Prostate cancer: Can multiparametric MR imaging help identify patients who are candidates for active surveillance. Radiology 2013; 268:144-152.
Dall'Era MA, Albertsen PC, Bangma C, Carroll PR, Carter HB, Cooperberg MR, Freedland SJ, Klotz LH, Parker C, Soloway MS. Active surveillance for prostate cancer: A systematic review of the literature. Eur Urol 2012; 62:976-983.
Adamy A, Yee DS, Matsushita K, Maschino A, Cronin A, Vickers A, Guillonneau B, Scardino PT, Eastham JA. Role of prostate specific antigen and immediate confirmatory biopsy in predicting progression during active surveillance for low risk prostate cancer. J Urol 2011; 185:477-482.
Moore CM, Kasivisvanathan V, Eggener S, Emberton M, Fütterer JJ, Gill IS, Grubb Iii RL, Hadaschik B, Klotz L, Margolis DJ, Marks LS, Melamed J, Oto A, Palmer SL, Pinto P, Puech P, Punwani S, Rosenkrantz AB, Schoots IG, Simon R, Taneja SS, Turkbey B, Ukimura O, van der Meulen J, Villers A, Watanabe Y, START Consortium. Standards of reporting for MRI-targeted biopsy studies (START) of the prostate: Recommendations from an International Working Group. Eur Urol 2013; 64:544-552.
Cooperberg MR, Carroll PR, Klotz L. Active surveillance for prostate cancer: Progress and promise. J Clin Oncol 2011; 29:3669-3676.
Wong LM, Alibhai SM, Trottier G, Timilshina N, Van der Kwast T, Zlotta A, Lawrentschuk N, Kulkarni G, Hamilton R, Ferrara S, Margel D, Trachtenberg J, Jewett MA, Toi A, Evans A, Fleshner NE, Finelli A. A negative confirmatory biopsy among men on active surveillance for prostate cancer does not protect them from histologic grade progression. Eur Urol 2014; 66:406-413.
Ukimura O, Desai M, Palmer S, Valencerina S, Gross M, Abreu AL, Aron M, Gill IS. Three-dimensional elastic registration system of prostate biopsy location by real-time 3-dimensional transrectal ultrasound guidance with magnetic resonance/transrectal ultrasound image fusion. J Urol 2012; 187:1080-1086.
Iremashvili V, Pelaez L, Jorda M, Manoharan M, Arianayagam M, Rosenberg DL, Soloway MS. Prostate sampling by 12-core biopsy: Comparison of the biopsy results with tumor location in prostatectomy specimens. Urology 2012; 79:37-42.
Porten SP, Whitson JM, Cowan JE, Cooperberg MR, Shinohara K, Perez N, Greene KL, Meng MV, Carroll PR. Changes in prostate cancer grade on serial biopsy in men undergoing active surveillance. J Clin Oncol 2011; 29:2795-2800.
Tosoian JJ, Trock BJ, Landis P, Feng Z, Epstein JI, Partin AW, Walsh PC, Carter HB. Active surveillance program for prostate cancer: An update of the Johns Hopkins experience. J Clin Oncol 2011; 29:2185-2190.
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References_xml – reference: Fradet V, Kurhanewicz J, Cowan JE, Karl A, Coakley FV, Shinohara K, Carroll PR. Prostate cancer managed with active surveillance: Role of anatomic MR imaging and MR spectroscopic imaging. Radiology 2010; 256:176-183.
– reference: Hoeks CM, Somford DM, van Oort IM, Vergunst H, Oddens JR, Smits GA, Roobol MJ, Bul M, Hambrock T, Witjes JA, Fütterer JJ, Hulsbergen-van de Kaa, Barentsz CA. Value of 3-T multiparametric magnetic resonance imaging and magnetic resonance-guided biopsy for early risk restratification in active surveillance of low-risk prostate cancer: A prospective multicenter cohort study. Invest Radiol 2013; 49:165-172.
– reference: Ukimura O, Coleman J, de la Taille A, Emberton M, Epstein JI, Freedland SJ, Giannarini G, Kibel AS, Montironi R, Ploussard G, Roobol MJ, Scattoni V, Jones JS. Contemporary role of systematic prostate biopsies: Indications, technique, implications on patient care. Eur Urol 2013; 63:214-230.
– reference: Adamy A, Yee DS, Matsushita K, Maschino A, Cronin A, Vickers A, Guillonneau B, Scardino PT, Eastham JA. Role of prostate specific antigen and immediate confirmatory biopsy in predicting progression during active surveillance for low risk prostate cancer. J Urol 2011; 185:477-482.
– reference: Baco E, Ukimura O, Rud E, Vlatkovic L, Svindland A, Aron M, Palmer S, Matsugasumi T, Marien A, Bernhard JC, Rewcastle JC, Eggesbø HB, Gill IS. Magnetic resonance imaging-transectal ultrasound image-fusion biopsies accurately characterize the index tumor: Correlation with step-sectioned radical prostatectomy specimens in patients. Eur Urol 2014 Sep 17. pii: S0302-2838(14) 00881-1. doi: 10.1016/j.eururo.2014.08.077. PMID:25240973.
– reference: Wong LM, Alibhai SM, Trottier G, Timilshina N, Van der Kwast T, Zlotta A, Lawrentschuk N, Kulkarni G, Hamilton R, Ferrara S, Margel D, Trachtenberg J, Jewett MA, Toi A, Evans A, Fleshner NE, Finelli A. A negative confirmatory biopsy among men on active surveillance for prostate cancer does not protect them from histologic grade progression. Eur Urol 2014; 66:406-413.
– reference: Cooperberg MR, Carroll PR, Klotz L. Active surveillance for prostate cancer: Progress and promise. J Clin Oncol 2011; 29:3669-3676.
– reference: Moore CM, Kasivisvanathan V, Eggener S, Emberton M, Fütterer JJ, Gill IS, Grubb Iii RL, Hadaschik B, Klotz L, Margolis DJ, Marks LS, Melamed J, Oto A, Palmer SL, Pinto P, Puech P, Punwani S, Rosenkrantz AB, Schoots IG, Simon R, Taneja SS, Turkbey B, Ukimura O, van der Meulen J, Villers A, Watanabe Y, START Consortium. Standards of reporting for MRI-targeted biopsy studies (START) of the prostate: Recommendations from an International Working Group. Eur Urol 2013; 64:544-552.
– reference: Iremashvili V, Manoharan M, Rosenberg DL, Soloway MS. Biopsy features associated with prostate cancer progression in active surveillance patients: Comparison of three statistical models. BJU Int 2013; 111:574-579.
– reference: Margel D, Nandy I, Wilson TH, Castro R, Fleshner N. Predictors of pathological progression among men with localized prostate cancer undergoing active surveillance: A sub-analysis of the REDEEM study. J Urol 2013; 190:2039-2046.
– reference: Dall'Era MA, Albertsen PC, Bangma C, Carroll PR, Carter HB, Cooperberg MR, Freedland SJ, Klotz LH, Parker C, Soloway MS. Active surveillance for prostate cancer: A systematic review of the literature. Eur Urol 2012; 62:976-983.
– reference: Berglund RK, Masterson TA, Vora KC, Eggener SE, Eastham JA, Guillonneau BD. Pathological upgrading and up staging with immediate repeat biopsy in patients eligible for active surveillance. J Urol 2008; 180:1964-1967.
– reference: Schulte RT, Wood DP, Daignault S, Shah RB, Wei JT. Utility of extended pattern prostate biopsies for tumor localization: Pathologic correlations after radical prostatectomy. Cancer 2008; 113:1559-1565.
– reference: Iremashvili V, Pelaez L, Jorda M, Manoharan M, Arianayagam M, Rosenberg DL, Soloway MS. Prostate sampling by 12-core biopsy: Comparison of the biopsy results with tumor location in prostatectomy specimens. Urology 2012; 79:37-42.
– reference: Turkbey B, Xu S, Kruecker J, Locklin J, Pang Y, Bernardo M, Merino MJ, Wood BJ, Choyke PL, Pinto PA. Documenting the location of prostate biopsies with image fusion. BJU Int 2011; 107:53-57.
– reference: Ukimura O, Desai M, Palmer S, Valencerina S, Gross M, Abreu AL, Aron M, Gill IS. Three-dimensional elastic registration system of prostate biopsy location by real-time 3-dimensional transrectal ultrasound guidance with magnetic resonance/transrectal ultrasound image fusion. J Urol 2012; 187:1080-1086.
– reference: Tosoian JJ, Trock BJ, Landis P, Feng Z, Epstein JI, Partin AW, Walsh PC, Carter HB. Active surveillance program for prostate cancer: An update of the Johns Hopkins experience. J Clin Oncol 2011; 29:2185-2190.
– reference: Cary KC, Cowan JE, Sanford M, Shinohara K, Perez N, Chan JM, Meng MV, Carroll PR. Predictors of pathologic progression on biopsy among men on active surveillance for localized prostate cancer: The value of the pattern of surveillance biopsies. Eur Urol 2014; 66:337-342.
– reference: Porten SP, Whitson JM, Cowan JE, Cooperberg MR, Shinohara K, Perez N, Greene KL, Meng MV, Carroll PR. Changes in prostate cancer grade on serial biopsy in men undergoing active surveillance. J Clin Oncol 2011; 29:2795-2800.
– reference: Ehdaie B, Vertosick E, Spaliviero M, Giallo-Uvino A, Taur Y, O'Sullivan M, Livingston J, Sogani P, Eastham J, Scardino P, Touijer K. The impact of repeat biopsies on infectious complications in men with prostate cancer on active surveillance. J Urol 2014; 191:660-664.
– reference: Dahabreh IJ, Chung M, Balk EM, Balk EM, Yu WW, Mathew P, Lau J, Ip S. Active surveillance in men with localized prostate cancer: A systematic review. Ann Intern Med 2012; 156:582-590.
– reference: King AC, Livermore A, Laurila TA, Huang W, Jarrard DF. Impact of immediate TRUS rebiopsy in a patient cohort considering active surveillance for favorable risk prostate cancer. Urol Oncol 2013; 31:739-743.
– reference: Cuzick J, Swanson GP, Fisher G, Brothman AR, Berney DM, Reid JE, Mesher D, Speights VO, Stankiewicz E, Foster CS, Møller H, Scardino P, Warren JD, Park J, Younus A, Flake 2nd DD, Wagner S, Gutin A, Lanchbury JS, Stone S, Transatlantic Prostate Group. Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: A retrospective study. Lancet Oncol 2011; 12:245-255.
– reference: Turkbey B, Mani H, Aras O, Ho J, Hoang A, Rastinehad AR, Agarwal H, Shah V, Bernardo M, Pang Y, Daar D, McKinney YL, Linehan WM, Kaushal A, Merino MJ, Wood BJ, Pinto PA, Choyke PL. Prostate cancer: Can multiparametric MR imaging help identify patients who are candidates for active surveillance. Radiology 2013; 268:144-152.
– reference: Mozer P, Baumann M, Chevreau G, Moreau-Gaudry A, Bart S, Renard-Penna R, Comperat E, Conort P, Bitker MO, Chartier-Kastler E, Richard F, Troccaz J. Mapping of transrectal ultrasonographic prostate biopsies: Quality control and learning curve assessment by image. Ultrasound Med 2009; 28:455-460.
– reference: Karnik VV, Fenster A, Bax J, Gardi L, Gyacskov I, Montreuil J, Romagnoli C, Ward AD. Evaluation of inter-session 3D-TRUS to 3D-TRUS image registration for repeat prostate biopsies. Med Image Comput Comput Assist Interv 2010; 13:17-25.
– reference: Cooperberg MR, Simko JP, Cowan JE, Reid JE, Djalilvand A, Bhatnagar S, Gutin A, Lanchbury JS, Swanson GP, Stone S, Carroll PR. Validation of a cell-cycle progression gene panel to improve risk stratification in a contemporary prostatectomy cohort. J Clin Oncol 2013; 31:1428-1434.
– reference: Onik G, Miessau M, Bostwick DG. Three-dimensional prostate mapping biopsy has a potentially significant impact on prostate cancer management. J Clin Oncol 2009; 27:4321-4326.
– reference: Baumann M, Mozer P, Daanen V, Troccaz J. Prostate biopsy tracking with deformation estimation. Med Image Anal 2012; 16:562-576.
– reference: Bul M, Zhu X, Valdagni R, Pickles T, Kakehi Y, Rannikko A, Bjartell A, van der Schoot DK, Cornel EB, Conti GN, Boevé ER, Staerman F, Vis-Maters JJ, Vergunst H, Jaspars JJ, Strölin P, van Muilekom E, Schröder FH, Bangma CH, Roobol MJ. Active surveillance for low-risk prostate cancer worldwide: The PRIAS study. Eur Urol 2013; 63:597-603.
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  publication-title: J Urol
– volume: 107
  start-page: 53
  year: 2011
  end-page: 57
  article-title: Documenting the location of prostate biopsies with image fusion
  publication-title: BJU Int
– volume: 28
  start-page: 455
  year: 2009
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  year: 2013
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  publication-title: Invest Radiol
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  year: 2014
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  article-title: Predictors of pathologic progression on biopsy among men on active surveillance for localized prostate cancer: The value of the pattern of surveillance biopsies
  publication-title: Eur Urol
– volume: 12
  start-page: 245
  year: 2011
  end-page: 255
  article-title: Prognostic value of an RNA expression signature derived from cell cycle proliferation genes in patients with prostate cancer: A retrospective study
  publication-title: Lancet Oncol
– volume: 64
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  year: 2013
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  article-title: Standards of reporting for MRI‐targeted biopsy studies (START) of the prostate: Recommendations from an International Working Group
  publication-title: Eur Urol
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  article-title: Changes in prostate cancer grade on serial biopsy in men undergoing active surveillance
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  year: 2013
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  article-title: Predictors of pathological progression among men with localized prostate cancer undergoing active surveillance: A sub‐analysis of the REDEEM study
  publication-title: J Urol
– volume: 62
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  year: 2012
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  article-title: Active surveillance for prostate cancer: A systematic review of the literature
  publication-title: Eur Urol
– volume: 16
  start-page: 562
  year: 2012
  end-page: 576
  article-title: Prostate biopsy tracking with deformation estimation
  publication-title: Med Image Anal
– volume: 268
  start-page: 144
  year: 2013
  end-page: 152
  article-title: Prostate cancer: Can multiparametric MR imaging help identify patients who are candidates for active surveillance
  publication-title: Radiology
– volume: 113
  start-page: 1559
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  publication-title: Cancer
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  year: 2013
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Snippet Background Conventional systematic biopsy has the shortcoming of sampling error and reveals “no evidence of cancer” with a rate of >50% on active surveillance...
Conventional systematic biopsy has the shortcoming of sampling error and reveals "no evidence of cancer" with a rate of >50% on active surveillance (AS). The...
Background Conventional systematic biopsy has the shortcoming of sampling error and reveals "no evidence of cancer" with a rate of >50% on active surveillance...
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StartPage 863
SubjectTerms active surveillance
biopsy
Biopsy, Needle - methods
Biopsy, Needle - standards
Cell Cycle
Disease Progression
Follow-Up Studies
Humans
Imaging, Three-Dimensional - methods
Imaging, Three-Dimensional - standards
Male
prostate neoplasms
Prostatic Neoplasms - diagnosis
three-dimensional
ultrasound
Title A novel technique using three-dimensionally documented biopsy mapping allows precise re-visiting of prostate cancer foci with serial surveillance of cell cycle progression gene panel
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https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fpros.22969
https://www.ncbi.nlm.nih.gov/pubmed/25663102
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https://www.proquest.com/docview/1674686661
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Volume 75
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