Skip to main content
Top
Published in: European Radiology 10/2019

Open Access 01-10-2019 | Prostate Cancer | Urogenital

Low PI-RADS assessment category excludes extraprostatic extension (≥pT3a) of prostate cancer: a histology-validated study including 301 operated patients

Authors: Sarah Alessi, Paola Pricolo, Paul Summers, Marco Femia, Elena Tagliabue, Giuseppe Renne, Roberto Bianchi, Gennaro Musi, Ottavio De Cobelli, Barbara Alicja Jereczek-Fossa, Massimo Bellomi, Giuseppe Petralia

Published in: European Radiology | Issue 10/2019

Login to get access

Abstract

Objectives

To evaluate whether low PI-RADS v2 assessment categories are effective at excluding extraprostatic extension (EPE) of prostate cancer (≥pT3a PCa).

Methods

The local institutional ethics committee approved this retrospective analysis of 301 consecutive PCa patients. Patients were classified as low- or intermediate/high-risk based on clinical parameters and underwent pre-surgical multiparametric magnetic resonance imaging. A PI-RADS v2 assessment category and ESUR EPE score were assigned for each lesion by two readers working in consensus. Histopathologic analysis of the whole-mount radical prostatectomy specimen was the reference standard. Univariate and multivariate analyses were performed to evaluate the association of PI-RADS v2 assessment category with final histology ≥pT3a PCa.

Results

For a PI-RADS v2 assessment category threshold of 3, the overall performance for ruling out (sensitivity, negative predictive value, negative likelihood ratio) ≥pT3a PCa was 99%/98%/0.04 and was similar in both the low-risk (96%/97%/0.12; N = 137) and the intermediate/high-risk groups (100%/100%/0.0; N = 164). In univariate analysis, all clinical and tumor characteristics except age were significantly associated with ≥pT3a PCa. In multivariate analysis, PI-RADS v2 assessment categories ≤ 3 had a protective effect relative to categories 4 and 5. The inclusion of ESUR EPE score improved the AUC of ≥pT3a PCa prediction (from 0.73 to 0.86, p = 0.04 in the overall cohort). The impact of PI-RADS v2 assessment category is reflected in a nomogram derived on the basis of our cohort.

Conclusions

In our cohort, low PI-RADS v2 assessment categories of 3 or less confidently ruled out the presence of ≥pT3a PCa irrespective of clinical risk group.

Key Points

• Our analysis of 301 mp-MRI and RARP specimens showed that the addition of PI-RADS v2 assessment categories to clinical parameters improves the exclusion of ≥pT3a (extraprostatic) prostate cancer.
• PI-RADS v2 assessment categories of 1 to 3 are useful for excluding ≥pT3a prostate cancer with a NPV of 98%; such patients can be considered as candidates for less invasive approaches.
• The ability to exclude ≥pT3a prostate cancer may improve confidence in choosing nerve-sparing surgery or in avoiding pelvic nodal dissections, and similarly for patients undergoing radiotherapy, in adopting short-course adjuvant hormonal therapy or foregoing prophylactic nodal irradiation.
Appendix
Available only for authorised users
Footnotes
1
Herein, we use the pathology stage ≥pT3a PCa to avoid possible confusion with the European Society of UroRadiology extracapsular extension (ESUR EPE) score [3].
 
Literature
2.
go back to reference Boesen L, Chabanova E, Løgager V, Balslev I, Mikines K, Thomsen HS (2015) Prostate cancer staging with extracapsular extension risk scoring using multiparametric MRI: a correlation with histopathology. Eur Radiol 25(6):1776–1785CrossRefPubMed Boesen L, Chabanova E, Løgager V, Balslev I, Mikines K, Thomsen HS (2015) Prostate cancer staging with extracapsular extension risk scoring using multiparametric MRI: a correlation with histopathology. Eur Radiol 25(6):1776–1785CrossRefPubMed
4.
go back to reference Weinreb JC, Barentsz JO, Choyke PL et al (2016) PI-RADS Prostate Imaging-Reporting and Data System: 2015, Version 2. Eur Urol 69(1):16–40CrossRefPubMed Weinreb JC, Barentsz JO, Choyke PL et al (2016) PI-RADS Prostate Imaging-Reporting and Data System: 2015, Version 2. Eur Urol 69(1):16–40CrossRefPubMed
5.
go back to reference de Rooij M, Hamoen EH, Fütterer JJ, Barentsz JO, Rovers MM (2014) Accuracy of multiparametric MRI for prostate cancer detection: a metaanalysis. AJR Am J Roentgenol 202:343–351 de Rooij M, Hamoen EH, Fütterer JJ, Barentsz JO, Rovers MM (2014) Accuracy of multiparametric MRI for prostate cancer detection: a metaanalysis. AJR Am J Roentgenol 202:343–351
6.
go back to reference Park JJ, Park BK (2017) Role of PI-RADSv2 with multiparametric MRI in determining who needs active surveillance or definitive treatment according to PRIAS. J Magn Reson Imaging 45(6):1753–1759CrossRefPubMed Park JJ, Park BK (2017) Role of PI-RADSv2 with multiparametric MRI in determining who needs active surveillance or definitive treatment according to PRIAS. J Magn Reson Imaging 45(6):1753–1759CrossRefPubMed
8.
go back to reference Park SY, Jung DC, Oh YT et al (2016) PI-RADS version 2 helps preoperatively predict clinically significant cancers. Radiology 280(1):108–116CrossRefPubMed Park SY, Jung DC, Oh YT et al (2016) PI-RADS version 2 helps preoperatively predict clinically significant cancers. Radiology 280(1):108–116CrossRefPubMed
9.
go back to reference Park SY, Oh YT, Dae CJ et al (2016) Prediction of biochemical recurrence after radical prostatectomy with PI-RADS version 2 in prostate cancers: initial results. Eur Radiol 26:2502–2509CrossRefPubMed Park SY, Oh YT, Dae CJ et al (2016) Prediction of biochemical recurrence after radical prostatectomy with PI-RADS version 2 in prostate cancers: initial results. Eur Radiol 26:2502–2509CrossRefPubMed
10.
go back to reference Patel VR, Shah KK, Thaly RK, Lavery H (2007) Robotic-assisted laparoscopic radical prostatectomy: the Ohio State University technique. J Robot Surg 1(1):15–59 Patel VR, Shah KK, Thaly RK, Lavery H (2007) Robotic-assisted laparoscopic radical prostatectomy: the Ohio State University technique. J Robot Surg 1(1):15–59
11.
go back to reference Petralia G, Musi G, Padhani AR et al (2015) Robot-assisted radical prostatectomy: multiparametric MR imaging-directed intraoperative frozen-section analysis to reduce the rate of positive surgical margins. Radiology 274(2):434–444CrossRefPubMed Petralia G, Musi G, Padhani AR et al (2015) Robot-assisted radical prostatectomy: multiparametric MR imaging-directed intraoperative frozen-section analysis to reduce the rate of positive surgical margins. Radiology 274(2):434–444CrossRefPubMed
12.
go back to reference Epstein JI, Allsbrook WC Jr, Amin MB, Egevad LL, ISUP Grading Committee (2005) The 2005 International Society of Urological Pathology (ISUP) consensus conference on Gleason grading of prostatic carcinoma. Am J Surg Pathol 29(9):1228–1242CrossRefPubMed Epstein JI, Allsbrook WC Jr, Amin MB, Egevad LL, ISUP Grading Committee (2005) The 2005 International Society of Urological Pathology (ISUP) consensus conference on Gleason grading of prostatic carcinoma. Am J Surg Pathol 29(9):1228–1242CrossRefPubMed
13.
go back to reference Sobin LH, Gospodarowicz MK, Wittekind C (2011) TNM classification of malignant tumors, 7th edn. Wiley-Blackwell, Chichester, pp 243–248 Sobin LH, Gospodarowicz MK, Wittekind C (2011) TNM classification of malignant tumors, 7th edn. Wiley-Blackwell, Chichester, pp 243–248
14.
go back to reference Tan PH, Cheng L, Srigley JR et al (2011) International Society of Urological Pathology (ISUP) consensus conference on handling and staging of radical prostatectomy specimens. Working group 5: surgical margins. Mod Pathol 24(1):48–57CrossRefPubMed Tan PH, Cheng L, Srigley JR et al (2011) International Society of Urological Pathology (ISUP) consensus conference on handling and staging of radical prostatectomy specimens. Working group 5: surgical margins. Mod Pathol 24(1):48–57CrossRefPubMed
15.
go back to reference Heidenreich A, Bastian PJ, Bellmunt J et al (2014) EAU guidelines on prostate cancer: part 1: screening, diagnosis, and local treatment with curative intent - update 2013. Eur Urol 65:124–137CrossRefPubMed Heidenreich A, Bastian PJ, Bellmunt J et al (2014) EAU guidelines on prostate cancer: part 1: screening, diagnosis, and local treatment with curative intent - update 2013. Eur Urol 65:124–137CrossRefPubMed
16.
go back to reference DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845CrossRefPubMed DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837–845CrossRefPubMed
17.
go back to reference Matsuoka Y, Ishioka J, Tanaka H et al (2017) Impact of the Prostate Imaging Reporting and Data System, version 2, on MRI diagnosis for extracapsular extension of prostate cancer. AJR Am J Roentgenol 209(2):W76–W84CrossRefPubMed Matsuoka Y, Ishioka J, Tanaka H et al (2017) Impact of the Prostate Imaging Reporting and Data System, version 2, on MRI diagnosis for extracapsular extension of prostate cancer. AJR Am J Roentgenol 209(2):W76–W84CrossRefPubMed
18.
go back to reference Gaunay G, Patel V, Shah P et al (2017) Multi-parametric MRI of the prostate: factors predicting extracapsular extension at the time of radical prostatectomy. Asian J Urol 4:31–36CrossRefPubMed Gaunay G, Patel V, Shah P et al (2017) Multi-parametric MRI of the prostate: factors predicting extracapsular extension at the time of radical prostatectomy. Asian J Urol 4:31–36CrossRefPubMed
19.
go back to reference Somford DM, Hamoen EH, Fütterer JJ et al (2013) The predictive value of endorectal 3 Tesla multiparametric magnetic resonance imaging for extraprostatic extension in patients with low, intermediate and high-risk prostate cancer. J Urol 190:1728–1734 Somford DM, Hamoen EH, Fütterer JJ et al (2013) The predictive value of endorectal 3 Tesla multiparametric magnetic resonance imaging for extraprostatic extension in patients with low, intermediate and high-risk prostate cancer. J Urol 190:1728–1734
20.
go back to reference Baco E, Rud E, Vlatkovic L et al (2015) Predictive value of magnetic resonance imaging determined tumor contact length for extracapsular extension of prostate cancer. J Urol 193(2):466–472CrossRefPubMed Baco E, Rud E, Vlatkovic L et al (2015) Predictive value of magnetic resonance imaging determined tumor contact length for extracapsular extension of prostate cancer. J Urol 193(2):466–472CrossRefPubMed
21.
go back to reference Giganti F, Coppola A, Ambrosi A et al (2016) Apparent diffusion coefficient in the evaluation of side-specific extracapsular extension in prostate cancer: development and external validation of a nomogram in clinical use. Urol Oncol 34(7):291.e17CrossRef Giganti F, Coppola A, Ambrosi A et al (2016) Apparent diffusion coefficient in the evaluation of side-specific extracapsular extension in prostate cancer: development and external validation of a nomogram in clinical use. Urol Oncol 34(7):291.e17CrossRef
22.
go back to reference Soylu FN, Eggener S, Oto A (2012) Local staging of prostate cancer with MRI. Diagn Interv Radiol 18:365–373PubMed Soylu FN, Eggener S, Oto A (2012) Local staging of prostate cancer with MRI. Diagn Interv Radiol 18:365–373PubMed
23.
go back to reference Hole KH, Axcrona K, Lie AK et al (2013) Routine pelvic MRI using phased-array coil for detection of extraprostatic tumour extension: accuracy and clinical significance. Eur Radiol 23(4):1158–1166CrossRefPubMed Hole KH, Axcrona K, Lie AK et al (2013) Routine pelvic MRI using phased-array coil for detection of extraprostatic tumour extension: accuracy and clinical significance. Eur Radiol 23(4):1158–1166CrossRefPubMed
24.
go back to reference Eifler JB, Feng Z, Lin BM et al (2013) An updated prostate cancer staging nomogram based on cases from 2006 to 2011. BJU Int 111(1):22–29CrossRefPubMed Eifler JB, Feng Z, Lin BM et al (2013) An updated prostate cancer staging nomogram based on cases from 2006 to 2011. BJU Int 111(1):22–29CrossRefPubMed
25.
go back to reference Ohori M, Kattan MW, Koh H et al (2004) Predicting the presence and side of extraprostatic extension: a nomogram for staging prostate cancer. J Urol 171(5):1844–1849CrossRefPubMed Ohori M, Kattan MW, Koh H et al (2004) Predicting the presence and side of extraprostatic extension: a nomogram for staging prostate cancer. J Urol 171(5):1844–1849CrossRefPubMed
26.
go back to reference Feng TS, Sharif-Afshar AR, Wu J et al (2015) Multiparametric MRI improves accuracy of clinical nomograms for predicting extracapsular extension of prostate cancer. Urology 86(2):332–337 Feng TS, Sharif-Afshar AR, Wu J et al (2015) Multiparametric MRI improves accuracy of clinical nomograms for predicting extracapsular extension of prostate cancer. Urology 86(2):332–337
27.
go back to reference Weaver JK, Kim EH, Vetter JM et al (2018) Prostate magnetic resonance imaging provides limited incremental value over the Memorial Sloan Kettering Cancer Center preradical prostatectomy nomogram. Urology 113:119–128CrossRefPubMed Weaver JK, Kim EH, Vetter JM et al (2018) Prostate magnetic resonance imaging provides limited incremental value over the Memorial Sloan Kettering Cancer Center preradical prostatectomy nomogram. Urology 113:119–128CrossRefPubMed
28.
go back to reference Bell KJ, Del Mar C, Wright G, Dickinson J, Glasziou P (2015) Prevalence of incidental prostate cancer: a systematic review of autopsy studies. Int J Cancer 137(7):1749–1757 Bell KJ, Del Mar C, Wright G, Dickinson J, Glasziou P (2015) Prevalence of incidental prostate cancer: a systematic review of autopsy studies. Int J Cancer 137(7):1749–1757
30.
go back to reference Ke Z, Wang L, Min XD et al (2018) Diagnostic performance and interobserver consistency of the Prostate Imaging Reporting and Data System Version 2: a study on six prostate radiologists with different experiences from half a year to 17 years. Chin Med J (Engl) 131(14):1666–1673CrossRef Ke Z, Wang L, Min XD et al (2018) Diagnostic performance and interobserver consistency of the Prostate Imaging Reporting and Data System Version 2: a study on six prostate radiologists with different experiences from half a year to 17 years. Chin Med J (Engl) 131(14):1666–1673CrossRef
Metadata
Title
Low PI-RADS assessment category excludes extraprostatic extension (≥pT3a) of prostate cancer: a histology-validated study including 301 operated patients
Authors
Sarah Alessi
Paola Pricolo
Paul Summers
Marco Femia
Elena Tagliabue
Giuseppe Renne
Roberto Bianchi
Gennaro Musi
Ottavio De Cobelli
Barbara Alicja Jereczek-Fossa
Massimo Bellomi
Giuseppe Petralia
Publication date
01-10-2019
Publisher
Springer Berlin Heidelberg
Published in
European Radiology / Issue 10/2019
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI
https://doi.org/10.1007/s00330-019-06092-0

Other articles of this Issue 10/2019

European Radiology 10/2019 Go to the issue