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 in | The Prostate Vol. 75; no. 8; pp. 863 - 871 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Blackwell Publishing Ltd
01.06.2015
Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
ISSN | 0270-4137 1097-0045 1097-0045 |
DOI | 10.1002/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. |
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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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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. 2008; 180 2012; 187 2012; 156 2011; 107 2010; 13 2013; 49 2013; 31 2013; 64 2013; 63 2010; 256 2013; 111 2014; 191 2013; 268 2011; 12 2012; 16 2008; 113 2011; 185 2012; 79 2011; 29 2009; 27 2014; 66 2013; 190 2012; 62 2009; 28 e_1_2_6_10_1 e_1_2_6_31_1 e_1_2_6_30_1 Baco E (e_1_2_6_17_1) e_1_2_6_19_1 Karnik VV (e_1_2_6_15_1) 2010; 13 e_1_2_6_13_1 e_1_2_6_14_1 e_1_2_6_11_1 e_1_2_6_12_1 e_1_2_6_18_1 e_1_2_6_16_1 e_1_2_6_21_1 e_1_2_6_20_1 e_1_2_6_9_1 e_1_2_6_8_1 e_1_2_6_5_1 e_1_2_6_4_1 e_1_2_6_7_1 e_1_2_6_6_1 e_1_2_6_25_1 e_1_2_6_24_1 e_1_2_6_3_1 e_1_2_6_23_1 e_1_2_6_2_1 e_1_2_6_22_1 e_1_2_6_29_1 e_1_2_6_28_1 e_1_2_6_27_1 e_1_2_6_26_1 |
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. – volume: 156 start-page: 582 year: 2012 end-page: 590 article-title: Active surveillance in men with localized prostate cancer: A systematic review publication-title: Ann Intern Med – volume: 63 start-page: 597 year: 2013 end-page: 603 article-title: Active surveillance for low‐risk prostate cancer worldwide: The PRIAS study publication-title: Eur Urol – article-title: Magnetic resonance imaging‐transectal ultrasound image‐fusion biopsies accurately characterize the index tumor: Correlation with step‐sectioned radical prostatectomy specimens in patients publication-title: Eur Urol – volume: 13 start-page: 17 year: 2010 end-page: 25 article-title: Evaluation of inter‐session 3D‐TRUS to 3D‐TRUS image registration for repeat prostate biopsies publication-title: Med Image Comput Comput Assist Interv – volume: 180 start-page: 1964 year: 2008 end-page: 1967 article-title: Pathological upgrading and up staging with immediate repeat biopsy in patients eligible for active surveillance publication-title: J Urol – volume: 185 start-page: 477 year: 2011 end-page: 482 article-title: Role of prostate specific antigen and immediate confirmatory biopsy in predicting progression during active surveillance for low risk prostate cancer 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 end-page: 460 article-title: Mapping of transrectal ultrasonographic prostate biopsies: Quality control and learning curve assessment by image publication-title: Ultrasound Med – volume: 31 start-page: 739 year: 2013 end-page: 743 article-title: Impact of immediate TRUS rebiopsy in a patient cohort considering active surveillance for favorable risk prostate cancer publication-title: Urol Oncol – volume: 49 start-page: 165 year: 2013 end-page: 172 article-title: 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 publication-title: Invest Radiol – volume: 29 start-page: 3669 year: 2011 end-page: 3676 article-title: Active surveillance for prostate cancer: Progress and promise publication-title: J Clin Oncol – volume: 66 start-page: 406 year: 2014 end-page: 413 article-title: A negative confirmatory biopsy among men on active surveillance for prostate cancer does not protect them from histologic grade progression publication-title: Eur Urol – volume: 111 start-page: 574 year: 2013 end-page: 579 article-title: Biopsy features associated with prostate cancer progression in active surveillance patients: Comparison of three statistical models publication-title: BJU Int – volume: 31 start-page: 1428 year: 2013 end-page: 1434 article-title: Validation of a cell‐cycle progression gene panel to improve risk stratification in a contemporary prostatectomy cohort publication-title: J Clin Oncol – volume: 66 start-page: 337 year: 2014 end-page: 342 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 start-page: 544 year: 2013 end-page: 552 article-title: Standards of reporting for MRI‐targeted biopsy studies (START) of the prostate: Recommendations from an International Working Group publication-title: Eur Urol – volume: 29 start-page: 2795 year: 2011 end-page: 2800 article-title: Changes in prostate cancer grade on serial biopsy in men undergoing active surveillance publication-title: J Clin Oncol – volume: 190 start-page: 2039 year: 2013 end-page: 2046 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 start-page: 976 year: 2012 end-page: 983 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 year: 2008 end-page: 1565 article-title: Utility of extended pattern prostate biopsies for tumor localization: Pathologic correlations after radical prostatectomy publication-title: Cancer – volume: 256 start-page: 176 year: 2010 end-page: 183 article-title: Prostate cancer managed with active surveillance: Role of anatomic MR imaging and MR spectroscopic imaging publication-title: Radiology – volume: 63 start-page: 214 year: 2013 end-page: 230 article-title: Contemporary role of systematic prostate biopsies: Indications, technique, implications on patient care publication-title: Eur Urol – volume: 191 start-page: 660 year: 2014 end-page: 664 article-title: The impact of repeat biopsies on infectious complications in men with prostate cancer on active surveillance publication-title: J Urol – volume: 27 start-page: 4321 year: 2009 end-page: 4326 article-title: Three‐dimensional prostate mapping biopsy has a potentially significant impact on prostate cancer management publication-title: J Clin Oncol – volume: 187 start-page: 1080 year: 2012 end-page: 1086 article-title: Three‐dimensional elastic registration system of prostate biopsy location by real‐time 3‐dimensional transrectal ultrasound guidance with magnetic resonance/transrectal ultrasound image fusion publication-title: J Urol – volume: 29 start-page: 2185 year: 2011 end-page: 2190 article-title: Active surveillance program for prostate cancer: An update of the Johns Hopkins experience publication-title: J Clin Oncol – volume: 79 start-page: 37 year: 2012 end-page: 42 article-title: Prostate sampling by 12‐core biopsy: Comparison of the biopsy results with tumor location in prostatectomy specimens publication-title: Urology – ident: e_1_2_6_6_1 doi: 10.1016/j.juro.2008.07.051 – ident: e_1_2_6_21_1 doi: 10.1200/JCO.2012.46.4396 – ident: e_1_2_6_3_1 doi: 10.7326/0003-4819-156-8-201204170-00009 – ident: e_1_2_6_20_1 doi: 10.1016/S1470-2045(10)70295-3 – ident: e_1_2_6_5_1 doi: 10.1016/j.eururo.2013.04.038 – ident: e_1_2_6_22_1 doi: 10.1200/JCO.2010.33.0134 – ident: e_1_2_6_2_1 doi: 10.1016/j.eururo.2012.05.072 – ident: e_1_2_6_23_1 doi: 10.1200/JCO.2011.34.9738 – ident: e_1_2_6_17_1 article-title: Magnetic resonance imaging‐transectal ultrasound image‐fusion biopsies accurately characterize the index tumor: Correlation with step‐sectioned radical prostatectomy specimens in patients publication-title: Eur Urol – ident: e_1_2_6_16_1 doi: 10.1111/j.1464-410X.2010.09483.x – ident: e_1_2_6_11_1 doi: 10.1016/j.eururo.2012.11.005 – ident: e_1_2_6_25_1 doi: 10.1148/radiol.10091147 – ident: e_1_2_6_8_1 doi: 10.1111/j.1464-410X.2012.11127.x – ident: e_1_2_6_13_1 doi: 10.1016/j.urology.2011.09.011 – ident: e_1_2_6_12_1 doi: 10.1002/cncr.23781 – ident: e_1_2_6_14_1 doi: 10.7863/jum.2009.28.4.455 – ident: e_1_2_6_19_1 doi: 10.1200/JCO.2008.20.3497 – ident: e_1_2_6_4_1 doi: 10.1016/j.eururo.2012.09.033 – ident: e_1_2_6_24_1 doi: 10.1200/JCO.2010.32.8112 – ident: e_1_2_6_27_1 doi: 10.1097/RLI.0000000000000008 – ident: e_1_2_6_30_1 doi: 10.1016/j.juro.2013.06.051 – ident: e_1_2_6_18_1 doi: 10.1016/j.juro.2011.10.124 – ident: e_1_2_6_7_1 doi: 10.1016/j.juro.2010.09.095 – volume: 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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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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 |
URI | https://api.istex.fr/ark:/67375/WNG-FS6V3BC0-H/fulltext.pdf https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fpros.22969 https://www.ncbi.nlm.nih.gov/pubmed/25663102 https://www.proquest.com/docview/1673871047 https://www.proquest.com/docview/1674686661 https://www.proquest.com/docview/1680462588 |
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