Skip to main content

Advertisement

Log in

Detectability of prostate cancer in different parts of the gland with 3-Tesla multiparametric magnetic resonance imaging: correlation with whole-mount histopathology

  • Original Article
  • Published:
International Journal of Clinical Oncology Aims and scope Submit manuscript

Abstract

Background

We investigated whether the detectability of prostate cancer with 3-Tesla (3T) multiparametric magnetic resonance imaging (mpMRI) differs by tumor location.

Methods

We identified 136 patients with prostate cancer who underwent 3-T mpMRI before prostatectomy at a single academic center. Two uroradiologists scored all MRIs with Prostate Imaging–Reporting and Data System version 2 (PI-RADS v2). A genitourinary pathologist mapped tumor foci from serial whole-mount radical prostatectomy sections. We assessed concordance of images with cancer sites. Tumor foci with Gleason score ≥  3 + 4 or volume ≥ 0.5 mL were considered significant.

Results

A total of 122 foci in 106 cases were identified with mpMRI. Twenty-four were PI-RADS 3, 52 were 4, and 46 were 5. A total of 274 tumor foci were identified with whole-mount pathology. The sensitivity stratified by location to detect significant cancer with a PI-RADS cutoff value of 3 was 56.0% overall, 50.0% in the peripheral zone (PZ), 71.2% in the transitional zone (TZ), 62.4% anterior, 49.5% posterior, 42.0% apical, 63.6% in the midgland, and 43.8% in the gland base. In multivariate analysis, tumor location was not a significant predictor of identification by mpMRI. Tumor volume, Gleason score, and index tumor status were significantly associated with identification by mpMRI.

Conclusions

mpMRI detected the majority of high-grade and large cancers, but had low sensitivity in the PZ, posterior, and apex and base of the gland. The high prevalence of low-volume, low-Gleason score index tumors, as well as satellite tumors in those areas, accounted for the difference.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Loeb S, Bjurlin MA, Nicholson J et al (2014) Overdiagnosis and overtreatment of prostate cancer. Eur Urol 65:1046–1055

    Article  Google Scholar 

  2. 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 

  3. Ramsay E, Mougenot C, Staruch R et al (2017) Evaluation of focal ablation of magnetic resonance imaging defined prostate cancer using magnetic resonance imaging controlled transurethral ultrasound therapy with prostatectomy as the reference standard. J Urol 197:255–261

    Article  Google Scholar 

  4. Schiavina R, Bianchi L, Borghesi M et al (2018) MRI displays the prostatic cancer anatomy and improves the bundles management before robot-assisted radical prostatectomy. J Endourol 32:315–321

    Article  Google Scholar 

  5. Rud E, Baco E, Klotz D et al (2015) Does preoperative magnetic resonance imaging reduce the rate of positive surgical margins at radical prostatectomy in a randomised clinical trial? Eur Urol 68:487–496

    Article  Google Scholar 

  6. Vargas HA, Hotker AM, Goldman DA et al (2016) Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference. Eur Radiol 26:1606–1612

    Article  CAS  Google Scholar 

  7. Gaur S, Harmon S, Gupta RT et al (2019) A multireader exploratory evaluation of individual pulse sequence cancer detection on prostate multiparametric magnetic resonance imaging (MRI). Acad Radiol 26:5–14

    Article  Google Scholar 

  8. Mirak SA, Shakeri S, Bajgiran AM et al (2019) Three Tesla multiparametric magnetic resonance imaging: comparison of performance with and without endorectal coil for prostate cancer detection, PI-RADS version 2 category and staging with whole mount histopathology correlation. J Urol 201:496–502

    Article  Google Scholar 

  9. Tan N, Margolis DJ, Lu DY et al (2015) Characteristics of detected and missed prostate cancer foci on 3-T multiparametric MRI using an endorectal coil correlated with whole-mount thin-section histopathology. AJR Am J Roentgenol 205:W87–92

    Article  Google Scholar 

  10. Greer MD, Brown AM, Shih JH et al (2017) Accuracy and agreement of PIRADSv2 for prostate cancer mpMRI: a multireader study. J Magn Reson Imaging 45:579–585

    Article  Google Scholar 

  11. Le JD, Tan N, Shkolyar E et al (2015) Multifocality and prostate cancer detection by multiparametric magnetic resonance imaging: correlation with whole-mount histopathology. Eur Urol 67:569–576

    Article  Google Scholar 

  12. Kenigsberg AP, Tamada T, Rosenkrantz AB et al (2018) Multiparametric magnetic resonance imaging identifies significant apical prostate cancers. BJU Int 121:239–243

    Article  CAS  Google Scholar 

  13. Nix JW, Turkbey B, Hoang A et al (2012) Very distal apical prostate tumours: identification on multiparametric MRI at 3 Tesla. BJU Int 110:E694–700

    Article  Google Scholar 

  14. Lewis S, Besa C, Rosen A et al (2017) Multiparametric magnetic resonance imaging for transition zone prostate cancer: essential findings, limitations, and future directions. Abdom Radiol (NY) 42:2732–2744

    Article  Google Scholar 

  15. Rosenkrantz AB, Kim S, Campbell N et al (2015) Transition zone prostate cancer: revisiting the role of multiparametric MRI at 3 T. AJR Am J Roentgenol 204:W266–272

    Article  Google Scholar 

  16. Weinreb JC, Barentsz JO, Choyke PL et al (2016) PI-RADS prostate imaging—reporting and data system: 2015, Version 2. Eur Urol 69:16–40

    Article  Google Scholar 

  17. Kanda Y (2013) Investigation of the freely available easy-to-use software 'EZR' for medical statistics. Bone Marrow Transplant 48:452–458

    Article  CAS  Google Scholar 

  18. Rosenkrantz AB, Verma S, Turkbey B (2015) Prostate cancer: top places where tumors hide on multiparametric MRI. AJR Am J Roentgenol 204:W449–456

    Article  Google Scholar 

  19. Vargas HA, Akin O, Franiel T et al (2012) Normal central zone of the prostate and central zone involvement by prostate cancer: clinical and MR imaging implications. Radiology 262:894–902

    Article  Google Scholar 

  20. Seles M, Gutschi T, Mayrhofer K et al (2016) Sampling of the anterior apical region results in increased cancer detection and upgrading in transrectal repeat saturation biopsy of the prostate. BJU Int 117:592–597

    Article  Google Scholar 

  21. Borkowetz A, Platzek I, Toma M et al (2016) Direct comparison of multiparametric magnetic resonance imaging (MRI) results with final histopathology in patients with proven prostate cancer in MRI/ultrasonography-fusion biopsy. BJU Int 118:213–220

    Article  Google Scholar 

  22. Dell'Oglio P, Stabile A, Soligo M et al (2019) there is no way to avoid systematic prostate biopsies in addition to multiparametric magnetic resonance imaging targeted biopsies. Eur Urol Oncol. https://doi.org/10.1016/j.euo.2019.03.002

    Article  PubMed  Google Scholar 

  23. Stabile A, Dell'Oglio P, De Cobelli F et al (2018) Association between prostate imaging reporting and data system (PI-RADS) score for the index lesion and multifocal, clinically significant prostate cancer. Eur Urol Oncol 1:29–36

    Article  Google Scholar 

  24. Koizumi A, Narita S, Nara T et al (2018) Incidence and location of positive surgical margin among open, laparoscopic and robot-assisted radical prostatectomy in prostate cancer patients: a single institutional analysis. Jpn J Clin Oncol 48:765–770

    Article  Google Scholar 

  25. Smith JA Jr, Chan RC, Chang SS et al (2007) A comparison of the incidence and location of positive surgical margins in robotic assisted laparoscopic radical prostatectomy and open retropubic radical prostatectomy. J Urol 178:2385–2389 (discussion 2389–2390)

    Article  Google Scholar 

  26. Asvadi NH, Afshari Mirak S, Mohammadian Bajgiran A et al (2018) 3T multiparametric MR imaging, PIRADSv2-based detection of index prostate cancer lesions in the transition zone and the peripheral zone using whole mount histopathology as reference standard. Abdom Radiol (NY) 43:3117–3124

    Article  Google Scholar 

  27. Bratan F, Niaf E, Melodelima C et al (2013) Influence of imaging and histological factors on prostate cancer detection and localisation on multiparametric MRI: a prospective study. Eur Radiol 23:2019–2029

    Article  Google Scholar 

  28. Gawlitza J, Reiss-Zimmermann M, Thormer G et al (2017) Impact of the use of an endorectal coil for 3 T prostate MRI on image quality and cancer detection rate. Sci Rep 7:40640

    Article  CAS  Google Scholar 

  29. Turkbey B, Merino MJ, Gallardo EC et al (2014) Comparison of endorectal coil and nonendorectal coil T2W and diffusion-weighted MRI at 3 Tesla for localizing prostate cancer: correlation with whole-mount histopathology. J Magn Reson Imaging 39:1443–1448

    Article  Google Scholar 

  30. Heijmink SW, Futterer JJ, Hambrock T et al (2007) Prostate cancer: body-array versus endorectal coil MR imaging at 3 T–comparison of image quality, localization, and staging performance. Radiology 244:184–195

    Article  Google Scholar 

  31. Iremashvili V, Pelaez L, Manoharan M et al (2012) Tumor focality is not associated with biochemical outcome after radical prostatectomy. Prostate 72:762–768

    Article  Google Scholar 

  32. Noguchi M, Stamey TA, McNeal JE et al (2003) Prognostic factors for multifocal prostate cancer in radical prostatectomy specimens: lack of significance of secondary cancers. J Urol 170:459–463

    Article  Google Scholar 

  33. Priester A, Natarajan S, Khoshnoodi P et al (2017) Magnetic resonance imaging underestimation of prostate cancer geometry: use of patient specific molds to correlate images with whole mount pathology. J Urol 197:320–326

    Article  Google Scholar 

  34. Lee T, Hoogenes J, Wright I et al (2017) Utility of preoperative 3 Tesla pelvic phased-array multiparametric magnetic resonance imaging in prediction of extracapsular extension and seminal vesicle invasion of prostate cancer and its impact on surgical margin status: experience at a Canadian academic tertiary care centre. Can Urol Assoc J 11:E174–E178

    Article  Google Scholar 

Download references

Acknowledgements

We thank Libby Cone, MD, MA, from Edanz Group Japan (www.edanzediting.com/ac) for editing drafts of this manuscript.

Funding

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Osamu Ogawa.

Ethics declarations

Conflict of interest

All authors declare that they have no conflict of interest.

Ethical approval

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964 and its later amendments. The protocol for this study has been approved by the institutional Review Board of Kyoto University (#R1581).

Informed consent

Informed consent was obtained in the form of opt-out on the website from all patients for being included in the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 30 kb)

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ito, K., Furuta, A., Kido, A. et al. Detectability of prostate cancer in different parts of the gland with 3-Tesla multiparametric magnetic resonance imaging: correlation with whole-mount histopathology. Int J Clin Oncol 25, 732–740 (2020). https://doi.org/10.1007/s10147-019-01587-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10147-019-01587-8

Keywords

Navigation