Skip to main content
Top
Published in: European Radiology 5/2018

01-05-2018 | Oncology

Diffusion-weighted imaging of the prostate: should we use quantitative metrics to better characterize focal lesions originating in the peripheral zone?

Authors: Thibaut Pierre, Francois Cornud, Loïc Colléter, Frédéric Beuvon, Frantz Foissac, Nicolas B. Delongchamps, Paul Legmann

Published in: European Radiology | Issue 5/2018

Login to get access

Abstract

Purpose

To compare inter-reader concordance and accuracy of qualitative diffusion-weighted (DW) PIRADSv2.0 score with those of quantitative DW-MRI for the diagnosis of peripheral zone prostate cancer.

Materials and methods

Two radiologists independently assigned a DW-MRI-PIRADS score to 92 PZ-foci, in 74 patients (64.3±5.6 years old; median PSA level: 8 ng/ml, normal DRE in 70 men). A standardised ADCmean and nine ADC-derived parameters were measured, including ADCratios with the whole-prostate (WP-ADCratio) or the mirror-PZ (mirror-ADCratio) as reference areas. Surgical histology and MRI-TRUS fusion-biopsy were the reference for tumours and benign foci, respectively. Inter-reader agreement was assessed by the Cohen-kappa-coefficient and the intraclass correlation coefficient (ICC). Univariate-multivariate regressions determined the most predictive factor for cancer.

Results

Fifty lesions were malignant. Inter-reader concordance was fair for qualitative assessment, but excellent for quantitative assessment for all quantitative variables. At univariate analysis, ADCmean, WP-ADCratio and WL-ADCmean performed equally, but significantly better than the mirror-ADCratio (p<0.001). At multivariate analysis, the only independent variable significantly associated with malignancy was the whole-prostate-ADCratio. At a cut-off value of 0.68, sensitivity was 94–90 % and specificity was 60–38 % for readers 1 and 2, respectively.

Conclusion

The whole-prostate-ADCratio improved the qualitative inter-reader concordance and characterisation of focal PZ-lesions.

Key Points

Inter-reader concordance of DW PI-RADSv2.0 score for PZ lesions was only fair.
Using a standardised ADCmean measurement and derived DW-quantitative parameters, concordance was excellent.
The whole-prostate ADCratio performed significantly better than the mirror-ADCratio for cancer detection.
At a cut-off of 0.68, sensitivity values of WP-ADCratio were 94–90 %.
The whole-prostate ADCratio may circumvent variations of ADC metrics across centres.
Literature
1.
go back to reference Hoeks CM, Barentsz JO, Hambrock T, Yakar D, Somford DM, Heijmink SW et al (2011) Prostate cancer: multiparametric MR imaging for detection, localization, and staging. Radiology 261:46–66CrossRefPubMed Hoeks CM, Barentsz JO, Hambrock T, Yakar D, Somford DM, Heijmink SW et al (2011) Prostate cancer: multiparametric MR imaging for detection, localization, and staging. Radiology 261:46–66CrossRefPubMed
2.
go back to reference Baur AD, Maxeiner A, Franiel T, Kilic E, Huppertz A, Schwenke C et al (2014) Evaluation of the prostate imaging reporting and data system for the detection of prostate cancer by the results of targeted biopsy of the prostate. Investig Radiol 49:411–420CrossRef Baur AD, Maxeiner A, Franiel T, Kilic E, Huppertz A, Schwenke C et al (2014) Evaluation of the prostate imaging reporting and data system for the detection of prostate cancer by the results of targeted biopsy of the prostate. Investig Radiol 49:411–420CrossRef
3.
go back to reference Vargas HA, Hotker AM, Goldman DA, Moskowitz CS, Gondo T, Matsumoto K 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 26:1606–1612CrossRefPubMed Vargas HA, Hotker AM, Goldman DA, Moskowitz CS, Gondo T, Matsumoto K 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 26:1606–1612CrossRefPubMed
4.
go back to reference Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider MA, Macura KJ et al (2016) PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. Eur Urol 69:16–40CrossRefPubMed Weinreb JC, Barentsz JO, Choyke PL, Cornud F, Haider MA, Macura KJ et al (2016) PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2. Eur Urol 69:16–40CrossRefPubMed
5.
go back to reference Rosenkrantz AB, Oto A, Turkbey B, Westphalen AC (2016) Prostate Imaging Reporting and Data System (PI-RADS), Version 2: A Critical Look. AJR Am J Roentgenol 206:1179–1183CrossRefPubMed Rosenkrantz AB, Oto A, Turkbey B, Westphalen AC (2016) Prostate Imaging Reporting and Data System (PI-RADS), Version 2: A Critical Look. AJR Am J Roentgenol 206:1179–1183CrossRefPubMed
6.
go back to reference Rosenkrantz AB, Ginocchio LA, Cornfeld D, Froemming AT, Gupta RT, Turkbey B et al (2016) Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists. Radiology 280:793–780CrossRefPubMedPubMedCentral Rosenkrantz AB, Ginocchio LA, Cornfeld D, Froemming AT, Gupta RT, Turkbey B et al (2016) Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists. Radiology 280:793–780CrossRefPubMedPubMedCentral
7.
go back to reference Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK et al (2017) Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 389:815–822CrossRefPubMed Ahmed HU, El-Shater Bosaily A, Brown LC, Gabe R, Kaplan R, Parmar MK et al (2017) Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 389:815–822CrossRefPubMed
8.
go back to reference Mertan FV, Greer MD, Shih JH, George AK, Kongnyuy M, Muthigi A et al (2016) Prospective Evaluation of the Prostate Imaging Reporting and Data System Version 2 for Prostate Cancer Detection. J Urol 196:690–696CrossRefPubMed Mertan FV, Greer MD, Shih JH, George AK, Kongnyuy M, Muthigi A et al (2016) Prospective Evaluation of the Prostate Imaging Reporting and Data System Version 2 for Prostate Cancer Detection. J Urol 196:690–696CrossRefPubMed
9.
go back to reference Syed JS, Nguyen KA, Nawaf CB, Bhagat AM, Huber S, Levi A et al (2017) Prostate zonal anatomy correlates with the detection of prostate cancer on multiparametric magnetic resonance imaging/ultrasound fusion-targeted biopsy in patients with a solitary PI-RADS v2-scored lesion. Urol Oncol. https://doi.org/10.1016/j.urolonc.2017.04.011 Syed JS, Nguyen KA, Nawaf CB, Bhagat AM, Huber S, Levi A et al (2017) Prostate zonal anatomy correlates with the detection of prostate cancer on multiparametric magnetic resonance imaging/ultrasound fusion-targeted biopsy in patients with a solitary PI-RADS v2-scored lesion. Urol Oncol. https://​doi.​org/​10.​1016/​j.​urolonc.​2017.​04.​011
10.
go back to reference Nagel KN, Schouten MG, Hambrock T, Litjens GJ, Hoeks CM, ten Haken B et al (2013) Differentiation of prostatitis and prostate cancer by using diffusion-weighted MR imaging and MR-guided biopsy at 3 T. Radiology 267:164–172CrossRefPubMed Nagel KN, Schouten MG, Hambrock T, Litjens GJ, Hoeks CM, ten Haken B et al (2013) Differentiation of prostatitis and prostate cancer by using diffusion-weighted MR imaging and MR-guided biopsy at 3 T. Radiology 267:164–172CrossRefPubMed
11.
go back to reference Rosenkrantz AB, Khalef V, Xu W, Babb JS, Taneja SS, Doshi AM (2015) Does normalisation improve the diagnostic performance of apparent diffusion coefficient values for prostate cancer assessment? A blinded independent-observer evaluation. Clin Radiol 70:1032–1037CrossRefPubMed Rosenkrantz AB, Khalef V, Xu W, Babb JS, Taneja SS, Doshi AM (2015) Does normalisation improve the diagnostic performance of apparent diffusion coefficient values for prostate cancer assessment? A blinded independent-observer evaluation. Clin Radiol 70:1032–1037CrossRefPubMed
12.
go back to reference De Cobelli F, Ravelli S, Esposito A, Giganti F, Gallina A, Montorsi F et al (2015) Apparent diffusion coefficient value and ratio as noninvasive potential biomarkers to predict prostate cancer grading: comparison with prostate biopsy and radical prostatectomy specimen. AJR Am J Roentgenol 204:550–557CrossRefPubMed De Cobelli F, Ravelli S, Esposito A, Giganti F, Gallina A, Montorsi F et al (2015) Apparent diffusion coefficient value and ratio as noninvasive potential biomarkers to predict prostate cancer grading: comparison with prostate biopsy and radical prostatectomy specimen. AJR Am J Roentgenol 204:550–557CrossRefPubMed
13.
go back to reference Barrett T, Priest AN, Lawrence EM, Goldman DA, Warren AY, Gnanapragasam VJ et al (2015) Ratio of Tumor to Normal Prostate Tissue Apparent Diffusion Coefficient as a Method for Quantifying DWI of the Prostate. AJR Am J Roentgenol 205:W585–W593CrossRefPubMed Barrett T, Priest AN, Lawrence EM, Goldman DA, Warren AY, Gnanapragasam VJ et al (2015) Ratio of Tumor to Normal Prostate Tissue Apparent Diffusion Coefficient as a Method for Quantifying DWI of the Prostate. AJR Am J Roentgenol 205:W585–W593CrossRefPubMed
14.
go back to reference Lebovici A, Sfrangeu SA, Feier D, Caraiani C, Lucan C, Suciu M et al (2014) Evaluation of the normal-to-diseased apparent diffusion coefficient ratio as an indicator of prostate cancer aggressiveness. BMC Med Imaging 14:15CrossRefPubMedPubMedCentral Lebovici A, Sfrangeu SA, Feier D, Caraiani C, Lucan C, Suciu M et al (2014) Evaluation of the normal-to-diseased apparent diffusion coefficient ratio as an indicator of prostate cancer aggressiveness. BMC Med Imaging 14:15CrossRefPubMedPubMedCentral
15.
go back to reference Rosenkrantz AB, Meng X, Ream JM, Babb JS, Deng FM, Rusinek H et al (2016) Likert score 3 prostate lesions: Association between whole-lesion ADC metrics and pathologic findings at MRI/ultrasound fusion targeted biopsy. J Magn Reson Imaging 43:325–332CrossRefPubMed Rosenkrantz AB, Meng X, Ream JM, Babb JS, Deng FM, Rusinek H et al (2016) Likert score 3 prostate lesions: Association between whole-lesion ADC metrics and pathologic findings at MRI/ultrasound fusion targeted biopsy. J Magn Reson Imaging 43:325–332CrossRefPubMed
16.
17.
go back to reference Feuerlein S, Davenport MS, Krishnaraj A, Merkle EM, Gupta RT (2015) Computed high b-value diffusion-weighted imaging improves lesion contrast and conspicuity in prostate cancer. Prostate Cancer Prostatic Dis 18:155–160CrossRefPubMed Feuerlein S, Davenport MS, Krishnaraj A, Merkle EM, Gupta RT (2015) Computed high b-value diffusion-weighted imaging improves lesion contrast and conspicuity in prostate cancer. Prostate Cancer Prostatic Dis 18:155–160CrossRefPubMed
19.
go back to reference Boesen L, Chabanova E, Logager V, Balslev I, Thomsen HS (2015) Apparent diffusion coefficient ratio correlates significantly with prostate cancer gleason score at final pathology. J Magn Reson Imaging 42:446–453CrossRefPubMed Boesen L, Chabanova E, Logager V, Balslev I, Thomsen HS (2015) Apparent diffusion coefficient ratio correlates significantly with prostate cancer gleason score at final pathology. J Magn Reson Imaging 42:446–453CrossRefPubMed
20.
go back to reference Donati OF, Afaq A, Vargas HA, Mazaheri Y, Zheng J, Moskowitz CS et al (2014) Prostate MRI: Evaluating Tumor Volume and Apparent Diffusion Coefficient as Surrogate Biomarkers for Predicting Tumor Gleason Score. Clin Cancer Res 20:3705–3711CrossRefPubMed Donati OF, Afaq A, Vargas HA, Mazaheri Y, Zheng J, Moskowitz CS et al (2014) Prostate MRI: Evaluating Tumor Volume and Apparent Diffusion Coefficient as Surrogate Biomarkers for Predicting Tumor Gleason Score. Clin Cancer Res 20:3705–3711CrossRefPubMed
21.
go back to reference Samaratunga H, Montironi R, True L, Epstein JI, Griffiths DF, Humphrey PA et al (2011) International Society of Urological Pathology (ISUP) Consensus Conference on Handling and Staging of Radical Prostatectomy Specimens. Working group 1: specimen handling. Mod Pathol 24:6–15CrossRefPubMed Samaratunga H, Montironi R, True L, Epstein JI, Griffiths DF, Humphrey PA et al (2011) International Society of Urological Pathology (ISUP) Consensus Conference on Handling and Staging of Radical Prostatectomy Specimens. Working group 1: specimen handling. Mod Pathol 24:6–15CrossRefPubMed
23.
go back to reference Delongchamps NB, Lefevre A, Bouazza N, Beuvon F, Legman P, Cornud F (2015) Detection of significant prostate cancer with magnetic resonance targeted biopsies--should transrectal ultrasound-magnetic resonance imaging fusion guided biopsies alone be a standard of care? J Urol 193:1198–1204CrossRefPubMed Delongchamps NB, Lefevre A, Bouazza N, Beuvon F, Legman P, Cornud F (2015) Detection of significant prostate cancer with magnetic resonance targeted biopsies--should transrectal ultrasound-magnetic resonance imaging fusion guided biopsies alone be a standard of care? J Urol 193:1198–1204CrossRefPubMed
24.
go back to reference Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174CrossRefPubMed Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174CrossRefPubMed
25.
go back to reference Bratan F, Melodelima C, Souchon R, Hoang Dinh A, Mege-Lechevallier F, Crouzet S et al (2015) How accurate is multiparametric MR imaging in evaluation of prostate cancer volume? Radiology 275:144–154CrossRefPubMed Bratan F, Melodelima C, Souchon R, Hoang Dinh A, Mege-Lechevallier F, Crouzet S et al (2015) How accurate is multiparametric MR imaging in evaluation of prostate cancer volume? Radiology 275:144–154CrossRefPubMed
26.
go back to reference Cornud F, Khoury G, Bouazza N, Beuvon F, Peyromaure M, Flam T et al (2014) Tumor target volume for focal therapy of prostate cancer-does multiparametric magnetic resonance imaging allow for a reliable estimation? J Urol 191:1272–1279CrossRefPubMed Cornud F, Khoury G, Bouazza N, Beuvon F, Peyromaure M, Flam T et al (2014) Tumor target volume for focal therapy of prostate cancer-does multiparametric magnetic resonance imaging allow for a reliable estimation? J Urol 191:1272–1279CrossRefPubMed
27.
go back to reference Muller BG, Shih JH, Sankineni S, Marko J, Rais-Bahrami S, George A et al (2015) Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging. Radiology 277:741–750CrossRefPubMedPubMedCentral Muller BG, Shih JH, Sankineni S, Marko J, Rais-Bahrami S, George A et al (2015) Prostate Cancer: Interobserver Agreement and Accuracy with the Revised Prostate Imaging Reporting and Data System at Multiparametric MR Imaging. Radiology 277:741–750CrossRefPubMedPubMedCentral
28.
go back to reference Maas MC, Futterer JJ, Scheenen TW (2013) Quantitative evaluation of computed high B value diffusion-weighted magnetic resonance imaging of the prostate. Investig Radiol 48:779–786CrossRef Maas MC, Futterer JJ, Scheenen TW (2013) Quantitative evaluation of computed high B value diffusion-weighted magnetic resonance imaging of the prostate. Investig Radiol 48:779–786CrossRef
29.
go back to reference Metens T, Miranda D, Absil J, Matos C (2012) What is the optimal b value in diffusion-weighted MR imaging to depict prostate cancer at 3T? Eur Radiol 22:703–709CrossRefPubMed Metens T, Miranda D, Absil J, Matos C (2012) What is the optimal b value in diffusion-weighted MR imaging to depict prostate cancer at 3T? Eur Radiol 22:703–709CrossRefPubMed
30.
go back to reference Vargas HA, Akin O, Franiel T, Mazaheri Y, Zheng J, Moskowitz C et al (2011) Diffusion-weighted endorectal MR imaging at 3 T for prostate cancer: tumor detection and assessment of aggressiveness. Radiology 259:775–784CrossRefPubMedPubMedCentral Vargas HA, Akin O, Franiel T, Mazaheri Y, Zheng J, Moskowitz C et al (2011) Diffusion-weighted endorectal MR imaging at 3 T for prostate cancer: tumor detection and assessment of aggressiveness. Radiology 259:775–784CrossRefPubMedPubMedCentral
31.
go back to reference Kitajima K, Takahashi S, Ueno Y, Yoshikawa T, Ohno Y, Obara M et al (2012) Clinical utility of apparent diffusion coefficient values obtained using high b-value when diagnosing prostate cancer using 3 tesla MRI: comparison between ultra-high b-value (2000 s/mm(2)) and standard high b-value (1000 s/mm(2)). J Magn Reson Imaging 36:198–205CrossRefPubMed Kitajima K, Takahashi S, Ueno Y, Yoshikawa T, Ohno Y, Obara M et al (2012) Clinical utility of apparent diffusion coefficient values obtained using high b-value when diagnosing prostate cancer using 3 tesla MRI: comparison between ultra-high b-value (2000 s/mm(2)) and standard high b-value (1000 s/mm(2)). J Magn Reson Imaging 36:198–205CrossRefPubMed
32.
go back to reference Thormer G, Otto J, Reiss-Zimmermann M, Seiwerts M, Moche M, Garnov N et al (2012) Diagnostic value of ADC in patients with prostate cancer: influence of the choice of b values. Eur Radiol 22:1820–1828CrossRefPubMed Thormer G, Otto J, Reiss-Zimmermann M, Seiwerts M, Moche M, Garnov N et al (2012) Diagnostic value of ADC in patients with prostate cancer: influence of the choice of b values. Eur Radiol 22:1820–1828CrossRefPubMed
33.
go back to reference Scheenen TW, Rosenkrantz AB, Haider MA, Futterer JJ (2015) Multiparametric Magnetic Resonance Imaging in Prostate Cancer Management: Current Status and Future Perspectives. Investig Radiol 50:594–600CrossRef Scheenen TW, Rosenkrantz AB, Haider MA, Futterer JJ (2015) Multiparametric Magnetic Resonance Imaging in Prostate Cancer Management: Current Status and Future Perspectives. Investig Radiol 50:594–600CrossRef
34.
go back to reference Ukimura O, Desai MM, Palmer S, Valencerina S, Gross M, Abreu AL et al (2012) 3-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 187:1080–1086CrossRefPubMed Ukimura O, Desai MM, Palmer S, Valencerina S, Gross M, Abreu AL et al (2012) 3-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 187:1080–1086CrossRefPubMed
Metadata
Title
Diffusion-weighted imaging of the prostate: should we use quantitative metrics to better characterize focal lesions originating in the peripheral zone?
Authors
Thibaut Pierre
Francois Cornud
Loïc Colléter
Frédéric Beuvon
Frantz Foissac
Nicolas B. Delongchamps
Paul Legmann
Publication date
01-05-2018
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 5/2018
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-017-5107-2

Other articles of this Issue 5/2018

European Radiology 5/2018 Go to the issue