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Clinical Research

Performance of multiparametric MRI in men at risk of prostate cancer before the first biopsy: a paired validating cohort study using template prostate mapping biopsies as the reference standard

Abstract

Background:

Multiparametric magnetic resonance imaging (mpMRI) has the potential to serve as a non-invasive triage test for men at risk of prostate cancer. Our objective was to determine the performance characteristics of mpMRI in men at risk before the first biopsy using 5 mm template prostate mapping (TPM) as the reference standard.

Methods:

One hundred and twenty-nine consecutive men with clinical suspicion of prostate cancer, who had no prior biopsy, underwent mpMRI (T1/T2-weighted, diffusion-weighting, dynamic contrast enhancement) followed by TPM. The primary analysis used were as follows: (a) radiological scores of suspicion of 3 attributed from a five-point ordinal scale, (b) a target condition on TPM of any Gleason pattern 4 and/or a maximum cancer core length of 4 mm and (c) two sectors of analysis per prostate (right and left prostate halves). Secondary analyses evaluated the impact of changing the mpMRI score threshold to 4 and varying the target definition for clinical significance.

Results:

One hundred and forty-one out of 258 (55%) sectors of analysis showed ‘any cancer’ and 77/258 (30%) had the target histological condition for the purpose of deriving the primary outcome. Median (with range) for age, PSA, gland volume and number of biopsies taken were 62 years (41–82), 5.8 ng ml−1 (1.2–20), 40 ml (16–137) and 41 cores (20–93), respectively. For the primary outcome sensitivity, specificity, positive and negative predictive values and area under the receiver-operating curve (with 95% confidence intervals) were 94% (88–99%), 23% (17–29%), 34% (28–40%), 89% (79–98%) and 0.72 (0.65–0.79), respectively.

Conclusions:

MpMRI demonstrated encouraging diagnostic performance characteristics in detecting and ruling out clinically significant prostate cancer in men at risk, who were biopsy naive.

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References

  1. Schroder FH, Hugosson J, Roobol MJ, Tammela TL, Ciatto S, Nelen V et al. Screening and prostate-cancer mortality in a randomized European study. N Engl J Med 2009; 360: 1320–1328.

    Article  Google Scholar 

  2. Hugosson J, Carlsson S, Aus G, Bergdahl S, Khatami A, Lodding P et al. Mortality results from the Goteborg randomised population-based prostate-cancer screening trial. Lancet Oncol 2010; 11: 725–732.

    Article  Google Scholar 

  3. Taylor JA, Gancarczyk KJ, Fant GV, McLeod DG . Increasing the number of core samples taken at prostate needle biopsy enhances the detection of clinically significant prostate cancer. Urology 2002; 60: 841–845.

    Article  Google Scholar 

  4. Ahmed HU, Kirkham A, Arya M, Illing R, Freeman A, Allen C et al. Is it time to consider a role for MRI before prostate biopsy? Nat Rev Clin Oncol 2009; 6: 197–206.

    Article  Google Scholar 

  5. Crawford ED, Rove KO, Barqawi AB, Maroni PD, Werahera PN, Baer CA et al. Clinical-pathologic correlation between transperineal mapping biopsies of the prostate and three-dimensional reconstruction of prostatectomy specimens. Prostate 2013; 73: 778–787.

    Article  Google Scholar 

  6. Hu Y, Ahmed HU, Carter T, Arumainayagam N, Lecornet E, Barzell W et al. A biopsy simulation study to assess the accuracy of several transrectal ultrasonography (TRUS)-biopsy strategies compared with template prostate mapping biopsies in patients who have undergone radical prostatectomy. BJU Int 2012; 110: 812–820.

    Article  Google Scholar 

  7. Barentsz JO, Richenberg J, Clements R, Choyke P, Verma S, Villeirs G et al. ESUR prostate MR guidelines 2012. Eur Radiol 2012; 22: 746–757.

    Article  Google Scholar 

  8. Portalez D, Mozer P, Cornud F, Renard-Penna R, Misrai V, Thoulouzan M et al. 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 Urol 2012; 62: 986–996.

    Article  Google Scholar 

  9. Barzell WE, Melamed MR . Appropriate patient selection in the focal treatment of prostate cancer: the role of transperineal 3-Dimensional pathologic mapping of the prostate—a 4-year experience. Urology 2007; 70: 27–35.

    Article  Google Scholar 

  10. Simmons L, Ahmed HU, Moore CM, Emberton M . Imaging for Significant Prostate Cancer Risk Evaluation (PICTURE). ClinicalTrials.gov.; 2011.

  11. Emberton M . PROMIS—Prostate MRI Imaging Study—Evaluation of Multi-Parametric Magnetic Resonance Imaging in the Diagnosis and Characterization of Prostate Cancer. ClinicalTrials.gov,; 2011.

  12. Epstein JI, Allsbrook WC, Amin MB, Egevad LL . The 2005 international society of urological pathology (ISUP) consensus conference on Gleason grading of prostatic carcinoma. Am J Surg Pathol 2005; 29: 1228–1242.

    Article  Google Scholar 

  13. Karram S, Trock BJ, Netto GJ, Epstein JI . Should intervening benign tissue be included in the measurement of discontinuous foci of cancer on prostate needle biopsy? Correlation with radical prostatectomy findings. Am J Surg Pathol 2011; 35: 1351–1355.

    Article  Google Scholar 

  14. Ahmed HU, Hu Y, Carter T, Arumainayagam N, Lecornet E, Freeman A et al. Characterizing clinically significant prostate cancer using template prostate mapping biopsy. J Urol 2011; 186: 458–464.

    Article  Google Scholar 

  15. Efron B, Tibshirani RJ Monographs on Statistics & Applied Probability: An Introduction to the Bootstrap. Chapman & Hall/CRC, 1994.

  16. Puech P, Potiron E, Lemaitre L, Leroy X, Haber GP, Crouzet S et al. Dynamic contrast-enhanced-magnetic resonance imaging evaluation of intraprostatic prostate cancer: correlation with radical prostatectomy specimens. Urology 2009; 74: 1094–1099.

    Article  Google Scholar 

  17. Villeirs GM, De Meerleer GO, De Visschere PJ, Fonteyne VH, Verbaeys AC, Oosterlinck W . Combined magnetic resonance imaging and spectroscopy in the assessment of high grade prostate carcinoma in patients with elevated PSA: a single-institution experience of 356 patients. Eur J Radiol 2011; 77: 340–345.

    Article  Google Scholar 

  18. Turkbey B, Mani H, Shah V, Rastinehad AR, Bernardo M, Pohida T et al. Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance imaging based molds. J Urol 2011; 186: 1818–1824.

    Article  Google Scholar 

  19. Tanimoto A, Nakashima J, Kohno H, Shinmoto H, Kuribayashi S . Prostate cancer screening: the clinical value of diffusion-weighted imaging and dynamic MR imaging in combination with T2-weighted imaging. J Magn Reson Imaging 2007; 25: 146–152.

    Article  Google Scholar 

  20. Isebaert S, Van den Bergh L, Haustermans K, Joniau S, Lerut E, De Wever L et al. Multiparametric MRI for prostate cancer localization in correlation to whole-mount histopathology. J Magn Reson Imaging 2013; 37: 1392–1401.

    Article  Google Scholar 

  21. Akin O, Gultekin DH, Vargas HA, Zheng J, Moskowitz C, Pei X et al. Incremental value of diffusion weighted and dynamic contrast enhanced MRI in the detection of locally recurrent prostate cancer after radiation treatment: preliminary results. Eur Radiol 2011; 21: 1970–1978.

    Article  Google Scholar 

  22. Delongchamps NB, Beuvon F, Eiss D, Flam T, Muradyan N, Zerbib M et al. Multiparametric MRI is helpful to predict tumor focality, stage, and size in patients diagnosed with unilateral low-risk prostate cancer. Prostate Cancer Prostatic Dis 2011; 14: 232–237.

    Article  CAS  Google Scholar 

  23. Kirkham A, Emberton M, Allen C . How good is MRI at detecting and characterising cancer within the prostate? Eur Urol 2006; 50: 1163–1175.

    Article  Google Scholar 

  24. Ahmed HU, Hindley RG, Dickinson L, Freeman A, Kirkham AP, Sahu M et al. Focal therapy for localised unifocal and multifocal prostate cancer: a prospective development study. Lancet Oncol 2012; 13: 622–632.

    Article  Google Scholar 

  25. Vourganti S, Rastinehad A, Yerram NK, Nix J, Volkin D, Hoang A et al. Multiparametric magnetic resonance imaging and ultrasound fusion biopsy detect prostate cancer in patients with prior negative transrectal ultrasound biopsies. J Urol 2012; 188: 2152–2157.

    Article  Google Scholar 

  26. Haffner J, Lemaitre L, Puech P, Haber GP, Leroy X, Jones JS et al. Role of magnetic resonance imaging before initial biopsy: comparison of magnetic resonance imaging-targeted and systematic biopsy for significant prostate cancer detection. BJU Int 2011; 108 (8 Pt 2): E171–E178.

    Article  Google Scholar 

  27. Kasivisvanathan V, Dufour R, Moore CM, Ahmed HU, Abd-Alazeez M, Charman SC et al. Transperineal magnetic resonance image targeted prostate biopsy versus transperineal template prostate biopsy in the detection of clinically significant prostate cancer. J Urol 2013; 189: 860–866.

    Article  Google Scholar 

  28. Delongchamps NB, Peyromaure M, Schull A, Beuvon F, Bouazza N, Flam T et al. Prebiopsy magnetic resonance imaging and prostate cancer detection: comparison of random and targeted biopsies. J Urol 2013; 189: 493–499.

    Article  Google Scholar 

  29. Rouse P, Shaw G, Ahmed HU, Freeman A, Allen C, Emberton M . Multi-parametric magnetic resonance imaging to rule-in and rule-out clinically important prostate cancer in men at risk: a cohort study. Urol Int 2011; 87: 49–53.

    Article  Google Scholar 

  30. Bittner N, Merrick GS, Butler WM, Bennett A, Galbreath RW . Incidence and pathologic features of prostate cancer detected on transperineal template-guided mapping biopsy following negative transrectal ultrasound-guided biopsy. J Urol 2013; 190: 509–514.

    Article  Google Scholar 

  31. Ahmed HU . The index lesion and the origin of prostate cancer. N Engl J Med 2009; 361: 1704–1706.

    Article  CAS  Google Scholar 

  32. Ploussard G, Epstein JI, Montironi R, Carroll PR, Wirth M, Grimm M-O et al. The contemporary concept of significant versus insignificant prostate cancer. Eur Urol 2011; 60: 291–303.

    Article  Google Scholar 

  33. Wolters T, Roobol MJ, PJv Leeuwen, RCNvd Bergh, Hoedemaeker RF, Leenders GJLHv et al. A critical analysis of the tumor volume threshold for clinically insignificant prostate cancer using a data set of a randomized screening trial. J Urol 2011; 185: 121–125.

    Article  Google Scholar 

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Acknowledgements

MA-A receives funding from the Egyptian government. HUA and ME receive funding from the Medical Research Council, the NIHR-HTA, NIHR-i4i, the US NIH/NCI, Pelican Cancer Foundation, Prostate Cancer UK and St Peter’s Trust. This work was part funded by research support for ME and AK from the UK National Institute of Health Research UCLH/UCL Comprehensive Biomedical Research Centre, London, UK. MA acknowledges Orchid (male cancer charity) and Barts and London charity. ME and HUA receive funding from USHIFU and Advanced Medical Diagnostics for clinical trials. ME is a paid consultant to Steba Biotech, USHIFU and Sanofi-Aventis. ME has received research support by GSK for a study evaluating the role of MRI in men with prostate cancer. ME and HUA have previously received medical consultancy fees from GE Healthcare/Oncura and HUA previously from Steba Biotech. ME is a medical director of Mediwatch PLC.

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Correspondence to M Abd-Alazeez.

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Abd-Alazeez, M., Kirkham, A., Ahmed, H. et al. Performance of multiparametric MRI in men at risk of prostate cancer before the first biopsy: a paired validating cohort study using template prostate mapping biopsies as the reference standard. Prostate Cancer Prostatic Dis 17, 40–46 (2014). https://doi.org/10.1038/pcan.2013.43

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