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Performance of systematic, MRI-targeted biopsies alone or in combination for the prediction of unfavourable disease in MRI-positive low-risk prostate cancer patients eligible for active surveillance

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Abstract

Purpose

To assess the upstaging/upgrading rates of low-risk prostate cancer (PCa) according to the biopsy scheme used (systematic (SB), targeted biopsies (TB), or both) in the setting of positive pre-biopsy MRI.

Patients and methods

We included 143 consecutive men fulfilling the Toronto University active surveillance (AS) criteria who underwent a pre-biopsy positive MRI, a combination of SB and software-based fusion TB, and a radical prostatectomy, in two expert centres. The primary endpoints were the pathological upgrading and upstaging rates. Overall unfavourable disease (OUD) was defined by any pT3-4 and/or pN1 and/or ≥ GG 3.

Results

Using TB alone would have missed 21.7% of cancers including 16.7% of ≥ GG 3. The use of TB was significantly associated with a lower risk of ≥ Grade Group (GG) 3 disease (p < 0.006) in RP specimens. Combination of SB and TB lowered this risk by 39%, compared with TB alone. The biopsy scheme did not affect the upstaging rates which were substantial even in case of combination scheme (from 37 to 46%). OUD was detected in approximately 50% of cases. The presence of high grade on TB was the only independent predictive factor for both ≥ GG 2 (p = 0.015) and ≥ GG 3 (p = 0.023) in RP specimens.

Conclusions

High grade on TB biopsies represented the major predictor of upgrading. Combination of SB and TB better defined the sub-group of patients having the lowest risk of reclassification, compared with TB or SB alone. The risk of non-organ-confined disease remained high, and could not be accurately predicted by MRI or systematic/targeted biopsy features.

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References

  1. Mottet N, Bellmunt J, Bolla M et al (2017) EAU-ESTRO-SIOG guidelines on prostate cancer. Part 1: screening, diagnosis, and local treatment with curative intent. Eur Urol 71:618–629

    Article  Google Scholar 

  2. Klotz L, Vesprini D, Sethukavalan P et al (2015) Long-term follow-up of a large active surveillance cohort of patients with prostate cancer. J Clin Oncol 33:272–277

    Article  Google Scholar 

  3. Bokhorst LP, Valdagni R, Rannikko A, PRIAS study group et al (2016) A Decade of active surveillance in the PRIAS study: an update and evaluation of the criteria used to recommend a switch to active treatment. Eur Urol 70:954–960

    Article  Google Scholar 

  4. Welty CJ, Cowan JE, Nguyen H et al (2015) Extended followup and risk factors for disease reclassification in a large active surveillance cohort for localized prostate cancer. J Urol 193(3):807–811

    Article  Google Scholar 

  5. Hu JC, Chang E, Natarajan S et al (2014) Targeted prostate biopsy in select men for active surveillance: do the Epstein criteria still apply? J Urol 192:385–390

    Article  Google Scholar 

  6. Schoots IG, Petrides N, Giganti F et al (2015) Magnetic resonance imaging in active surveillance of prostate cancer: a systematic review. Eur Urol 67:627–636

    Article  Google Scholar 

  7. Kasivisvanathan V, Rannikko AS, Borghi M et al (2018) MRI-targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med 378:1767–1777

    Article  Google Scholar 

  8. Siddiqui MM, George AK, Rubin R et al (2016) Efficiency of prostate cancer diagnosis by MR/ultrasound fusion-guided biopsy vs standard extended-sextant biopsy for MR-visible lesions. J Natl Cancer Inst. https://doi.org/10.1093/jnci/djw039

    Article  PubMed  PubMed Central  Google Scholar 

  9. Covin B, Roumiguié M, Quintyn-Ranty ML et al (2018) Refining the risk-stratification of transrectal biopsy-detected prostate cancer by elastic fusion registration transperineal biopsies. World J Urol. https://doi.org/10.1007/s00345-018-2459-4

    Article  PubMed  Google Scholar 

  10. Klotz L, Loblaw A, Sugar L et al (2018) Active surveillance magnetic resonance imaging study (ASIST): results of a randomized multicenter prospective trial. Eur Urol. https://doi.org/10.1016/j.eururo.2018.06.025

    Article  PubMed  Google Scholar 

  11. Barentsz JO, Richenberg J, Clements R et al (2012) ESUR prostate MR guidelines 2012. Eur Radiol 22:746–757

    Article  Google Scholar 

  12. Barentsz JO, Weinreb JC, Verma S et al (2016) Synopsis of the PI-RADS v2 guidelines for multiparametric prostate magnetic resonance imaging and recommendations for use. Eur Urol 69:41–49

    Article  Google Scholar 

  13. Nakanishi H, Wang X, Ochiai A, Trpkov K, Yilmaz A, Donnelly JB, Davis JW, Troncoso P, Babaian RJ (2007) A nomogram for predicting low-volume/low-grade prostate cancer: a tool in selecting patients for active surveillance. Cancer 110(11):2441–2447

    Article  Google Scholar 

  14. Steyerberg EW, Roobol MJ, Kattan MW, van der Kwast TH, de Koning HJ, Schröder FH (2007) Prediction of indolent prostate cancer: validation and updating of a prognostic nomogram. J Urol 177(1):107–112

    Article  CAS  Google Scholar 

  15. Ochiai A, Trpkov K, Yilmaz A, Donnelly B, Babaian RJ (2007) Validation of a prediction model for low volume/low grade cancer: application in selecting patients for active surveillance. J Urol 177(3):907–910

    Article  CAS  Google Scholar 

  16. Gandaglia G, van den Bergh RCN, Tilki D et al (2018) How can we expand active surveillance criteria in patients with low- and intermediate-risk prostate cancer without increasing the risk of misclassification? Development of a novel risk calculator. BJU Int 122:823–830

    Article  Google Scholar 

  17. Capitanio U, Karakiewicz PI, Valiquette L et al (2009) Biopsy core number represents one of foremost predictors of clinically significant Gleason sum upgrading in patients with low-risk prostate cancer. Urology 73:1087–1091

    Article  Google Scholar 

  18. Turley RS, Terris MK, Kane CJ et al (2008) The association between prostate size and Gleason score upgrading depends on the number of biopsy cores obtained: results from the Shared Equal Access Regional Cancer Hospital Database. BJU Int 102:1074–1079

    Article  Google Scholar 

  19. Ahmed HU, El-Shater Bosaily A, Brown LC et al (2017) Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 389:815–822

    Article  Google Scholar 

  20. Fütterer JJ, Briganti A, De Visschere P et al (2015) Can clinically significant prostate cancer be detected with multiparametric magnetic resonance imaging? A systematic review of the literature. Eur Urol 68:1045–1053

    Article  Google Scholar 

  21. Briganti A, Fossati N, Catto JWF et al (2018) Active surveillance for low-risk prostate cancer: the European Association of Urology Position in 2018. Eur Urol 74:357–368

    Article  Google Scholar 

  22. Margel D, Yap SA, Lawrentschuk N et al (2012) Impact of multiparametric endorectal coil prostate magnetic resonance imaging on disease reclassification among active surveillance candidates: a prospective cohort study. J Urol 187:1247–1252

    Article  Google Scholar 

  23. Ploussard G, Borgmann H, Briganti A et al (2018) Positive pre-biopsy MRI: are systematic biopsies still useful in addition to targeted biopsies? World J Urol. https://doi.org/10.1007/s00345-018-2399

    Article  PubMed  PubMed Central  Google Scholar 

  24. Gold SA, Hale GR, Bloom JB et al (2018) Follow-up of negative MRI-targeted prostate biopsies: when are we missing cancer? World J Urol. https://doi.org/10.1007/s00345-018-2337-0

    Article  PubMed  Google Scholar 

  25. Westhoff N, Siegel FP, Hausmann D et al (2017) Precision of MRI/ultrasound-fusion biopsy in prostate cancer diagnosis: an ex vivo comparison of alternative biopsy techniques on prostate phantoms. World J Urol 35:1015–1022

    Article  CAS  Google Scholar 

  26. Schouten MG, van der Leest M, Pokorny M et al (2017) Why and where do we miss significant prostate cancer with multi-parametric magnetic resonance imaging followed by magnetic resonance-guided and transrectal ultrasound-guided biopsy in Biopsy-naïve Men? Eur Urol 71:896–903

    Article  Google Scholar 

  27. Musunuru HB, Yamamoto T, Klotz L et al (2016) Active surveillance for intermediate risk prostate cancer: survival outcomes in the sunnybrook experience. J Urol 196:1651–1658

    Article  Google Scholar 

  28. van den Bergh R, Gandaglia G, Tilki D et al (2019) Trends in radical prostatectomy risk group distribution in a European multicenter analysis of 28 572 patients: towards tailored treatment. Eur Urol Focus 5:171–178

    Article  Google Scholar 

  29. Elkhoury FF, Simopoulos DN, Marks LS (2018) Targeted prostate biopsy in the era of active surveillance. Urology 112:12–19

    Article  Google Scholar 

  30. Cornud F, Roumiguié M, de Longchamps BN et al (2018) Precision matters in mr imaging-targeted prostate biopsies: evidence from a prospective study of cognitive and elastic fusion registration transrectal biopsies. Radiology 287:534–542

    Article  Google Scholar 

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Authors and Affiliations

Authors

Contributions

Protocol/project development: GP, BM and MR. Data collection or management: GP, J-BB, ML, CA, JA, RA, J-R G, GL, DP, AS, CT, MS, BM and MR. Data analysis: GP and MR. Manuscript writing/editing: GP, BM and MR.

Corresponding author

Correspondence to Guillaume Ploussard.

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The authors declares that they have no competing interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards.

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Ploussard, G., Beauval, JB., Lesourd, M. et al. Performance of systematic, MRI-targeted biopsies alone or in combination for the prediction of unfavourable disease in MRI-positive low-risk prostate cancer patients eligible for active surveillance. World J Urol 38, 663–671 (2020). https://doi.org/10.1007/s00345-019-02848-x

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