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Erschienen in: Abdominal Radiology 12/2020

03.02.2020 | Special Section: Prostate cancer update

Perspective: a critical assessment of PI-RADS 2.1

verfasst von: T. Ullrich, L. Schimmöller

Erschienen in: Abdominal Radiology | Ausgabe 12/2020

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Abstract

Purpose

In this article we take a critical look at the key changes of the newest edition of the Prostate Imaging Reporting and Data System (PI-RADS) version 2.1 (v2.1) and indicate future directions for further development of the system.

Conclusion

PI-RADS v2.1 addresses some of the shortcomings of its widely embraced precursor version 2, largely to simplify interpretation and improve interobserver agreement without changing the fundamental acquisition and scoring guidelines. Biparametric MRI is acknowledged in the newest version, but multiparametric MRI including dynamic contrast-enhanced imaging is still recommended for most scenarios. Management recommendations and guidance on evaluation of follow-up MRI’s are still not included in the system.
Literatur
1.
Zurück zum Zitat Turkbey B, Rosenkrantz AB, Haider MA, et al. (2019) Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol 76(3):340–51CrossRef Turkbey B, Rosenkrantz AB, Haider MA, et al. (2019) Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol 76(3):340–51CrossRef
3.
Zurück zum Zitat Weinreb JC, Barentsz JO, Choyke PL, et al. (2016) PI-RADS Prostate Imaging- Reporting and Data System: 2015, version 2. Eur Urol 69:16–40CrossRef Weinreb JC, Barentsz JO, Choyke PL, et al. (2016) PI-RADS Prostate Imaging- Reporting and Data System: 2015, version 2. Eur Urol 69:16–40CrossRef
4.
Zurück zum Zitat Woo S, Suh CH, Kim SY, et al. (2017) Diagnostic Performance of Prostate Imaging Reporting and Data System Version 2 for Detection of Prostate Cancer: A Systematic Review and Diagnostic Meta-analysis. Eur Urol 72(2):177-188CrossRefPubMed Woo S, Suh CH, Kim SY, et al. (2017) Diagnostic Performance of Prostate Imaging Reporting and Data System Version 2 for Detection of Prostate Cancer: A Systematic Review and Diagnostic Meta-analysis. Eur Urol 72(2):177-188CrossRefPubMed
5.
Zurück zum Zitat Rosenkrantz AB, Ginocchio LA, Cornfeld D, et al. (2016) Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists. Radiology 280(3):793-804CrossRefPubMedPubMedCentral Rosenkrantz AB, Ginocchio LA, Cornfeld D, et al. (2016) Interobserver Reproducibility of the PI-RADS Version 2 Lexicon: A Multicenter Study of Six Experienced Prostate Radiologists. Radiology 280(3):793-804CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat Morris EA, Comstock CE, Lee CH, et al. (2013) ACR BI-RADS® Magnetic Resonance Imaging. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. Reston, VA, American College of Radiology Morris EA, Comstock CE, Lee CH, et al. (2013) ACR BI-RADS® Magnetic Resonance Imaging. In: ACR BI-RADS® Atlas, Breast Imaging Reporting and Data System. Reston, VA, American College of Radiology
7.
Zurück zum Zitat Spilseth B, Ghai S, Patel NU et al. (2018) A Comparison of Radiologists' and Urologists' Opinions Regarding Prostate MRI Reporting: Results From a Survey of Specialty Societies. AJR Am J Roentgenol. 210(1):101-107CrossRefPubMed Spilseth B, Ghai S, Patel NU et al. (2018) A Comparison of Radiologists' and Urologists' Opinions Regarding Prostate MRI Reporting: Results From a Survey of Specialty Societies. AJR Am J Roentgenol. 210(1):101-107CrossRefPubMed
8.
Zurück zum Zitat Hansen NL, Barrett T, Lloyd T et al. Optimising the number of cores for magnetic resonance imaging-guided targeted and systematic transperineal prostate biopsy. BJU Int. 2019 Jul 15. https://doi.org/10.1111/bju.14865. [Epub ahead of print] PubMed PMID: 31306539. Hansen NL, Barrett T, Lloyd T et al. Optimising the number of cores for magnetic resonance imaging-guided targeted and systematic transperineal prostate biopsy. BJU Int. 2019 Jul 15. https://​doi.​org/​10.​1111/​bju.​14865. [Epub ahead of print] PubMed PMID: 31306539.
9.
Zurück zum Zitat Rais-Bahrami S, Türkbey B, Rastinehad AR et al. (2014) Natural history of small index lesions suspicious for prostate cancer on multiparametric MRI: recommendations for interval imaging follow-up. Diagn Interv Radiol 20(4):293-8CrossRefPubMedPubMedCentral Rais-Bahrami S, Türkbey B, Rastinehad AR et al. (2014) Natural history of small index lesions suspicious for prostate cancer on multiparametric MRI: recommendations for interval imaging follow-up. Diagn Interv Radiol 20(4):293-8CrossRefPubMedPubMedCentral
10.
Zurück zum Zitat Ullrich T, Quentin M, Arsov C et al. (2018) Risk Stratification of Equivocal Lesions on Multiparametric Magnetic Resonance Imaging of the Prostate. J Urol 199(3):691-698CrossRefPubMed Ullrich T, Quentin M, Arsov C et al. (2018) Risk Stratification of Equivocal Lesions on Multiparametric Magnetic Resonance Imaging of the Prostate. J Urol 199(3):691-698CrossRefPubMed
11.
Zurück zum Zitat Schoots IG (2018) MRI in early prostate cancer detection: how to manage indeterminate or equivocal PI-RADS 3 lesions? Transl Androl Urol 7(1):70-82CrossRefPubMedPubMedCentral Schoots IG (2018) MRI in early prostate cancer detection: how to manage indeterminate or equivocal PI-RADS 3 lesions? Transl Androl Urol 7(1):70-82CrossRefPubMedPubMedCentral
12.
Zurück zum Zitat Liddell H, Jyoti R, Haxhimolla HZ (2015) mp-MRI Prostate Characterised PIRADS 3 Lesions are Associated with a Low Risk of Clinically Significant Prostate Cancer - A Retrospective Review of 92 Biopsied PIRADS 3 Lesions. Curr Urol 8(2):96-100CrossRefPubMedPubMedCentral Liddell H, Jyoti R, Haxhimolla HZ (2015) mp-MRI Prostate Characterised PIRADS 3 Lesions are Associated with a Low Risk of Clinically Significant Prostate Cancer - A Retrospective Review of 92 Biopsied PIRADS 3 Lesions. Curr Urol 8(2):96-100CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Washino S, Okochi T, Saito K et al. (2017) Combination of prostate imaging reporting and data system (PI-RADS) score and prostate-specific antigen (PSA) density predicts biopsy outcome in prostate biopsy naïve patients. BJU Int 119(2):225-233CrossRefPubMed Washino S, Okochi T, Saito K et al. (2017) Combination of prostate imaging reporting and data system (PI-RADS) score and prostate-specific antigen (PSA) density predicts biopsy outcome in prostate biopsy naïve patients. BJU Int 119(2):225-233CrossRefPubMed
14.
Zurück zum Zitat Cucchiara V, Cooperberg MR, Dall'Era M, et al (2018) Genomic Markers in Prostate Cancer Decision Making. Eur Urol 73(4):572-582CrossRefPubMed Cucchiara V, Cooperberg MR, Dall'Era M, et al (2018) Genomic Markers in Prostate Cancer Decision Making. Eur Urol 73(4):572-582CrossRefPubMed
15.
Zurück zum Zitat Vourganti S, Rastinehad A, Yerram N, et al. (2012) Multiparametric magnetic resonance imaging and ultrasound fusion biopsy detect prostate cancer in patients with prior negative transrectal ultrasound biopsies. J Urol 188:2152–2157CrossRefPubMedPubMedCentral Vourganti S, Rastinehad A, Yerram N, et al. (2012) Multiparametric magnetic resonance imaging and ultrasound fusion biopsy detect prostate cancer in patients with prior negative transrectal ultrasound biopsies. J Urol 188:2152–2157CrossRefPubMedPubMedCentral
16.
Zurück zum Zitat Distler FA, Radtke JP, Bonekamp D, et al. (2017) The value of PSA density in combination with PI-RADS for the accuracy of prostate cancer prediction. J Urol 198:575–582CrossRefPubMed Distler FA, Radtke JP, Bonekamp D, et al. (2017) The value of PSA density in combination with PI-RADS for the accuracy of prostate cancer prediction. J Urol 198:575–582CrossRefPubMed
17.
Zurück zum Zitat Ma TM, Tosoian JJ, Schaeffer EM, et al. (2017) The role of multiparametric magnetic resonance imaging/ultrasound fusion biopsy in active surveillance. Eur Urol 71:174–180CrossRefPubMed Ma TM, Tosoian JJ, Schaeffer EM, et al. (2017) The role of multiparametric magnetic resonance imaging/ultrasound fusion biopsy in active surveillance. Eur Urol 71:174–180CrossRefPubMed
18.
Zurück zum Zitat Muller BG, Kaushal A, Sankineni S, et al. (2015) Multiparametric magnetic resonance imaging-transrectal ultrasound fusion-assisted biopsy for the diagnosis of local recurrence after radical prostatectomy. Urol Oncol 33:425.e421–425.e426CrossRef Muller BG, Kaushal A, Sankineni S, et al. (2015) Multiparametric magnetic resonance imaging-transrectal ultrasound fusion-assisted biopsy for the diagnosis of local recurrence after radical prostatectomy. Urol Oncol 33:425.e421–425.e426CrossRef
19.
Zurück zum Zitat Tay KJ, Gupta RT, Holtz J, et al. (2017) Does mpMRI improve clinical criteria in selecting men with prostate cancer for active surveillance? Prostate Cancer Prostatic 20:323–327CrossRef Tay KJ, Gupta RT, Holtz J, et al. (2017) Does mpMRI improve clinical criteria in selecting men with prostate cancer for active surveillance? Prostate Cancer Prostatic 20:323–327CrossRef
20.
Zurück zum Zitat Walton Diaz A, Shakir NA, George AK, et al. (2015) Use of serial multiparametric magnetic resonance imaging in the management of patients with prostate cancer on active surveillance. Urol Oncol 33:202.e201–202.e207CrossRef Walton Diaz A, Shakir NA, George AK, et al. (2015) Use of serial multiparametric magnetic resonance imaging in the management of patients with prostate cancer on active surveillance. Urol Oncol 33:202.e201–202.e207CrossRef
21.
Zurück zum Zitat Frye TP, George AK, Kilchevsky A, et al. (2017) Magnetic resonance imaging-transrectal ultrasound guided fusion biopsy to detect progression in patients with existing lesions on active surveillance for low and intermediate risk prostate cancer. J Urol 197(3): 640–646CrossRefPubMed Frye TP, George AK, Kilchevsky A, et al. (2017) Magnetic resonance imaging-transrectal ultrasound guided fusion biopsy to detect progression in patients with existing lesions on active surveillance for low and intermediate risk prostate cancer. J Urol 197(3): 640–646CrossRefPubMed
22.
Zurück zum Zitat Moore CM, Giganti F, Albertsen P et al. (2017) Reporting Magnetic Resonance Imaging in Men on Active Surveillance for Prostate Cancer: The PRECISE Recommendations-A Report of a European School of Oncology Task Force. Eur Urol 71: 648CrossRefPubMed Moore CM, Giganti F, Albertsen P et al. (2017) Reporting Magnetic Resonance Imaging in Men on Active Surveillance for Prostate Cancer: The PRECISE Recommendations-A Report of a European School of Oncology Task Force. Eur Urol 71: 648CrossRefPubMed
23.
Zurück zum Zitat Van der Leest M, Israël B, Cornel EB, et al. (2019) High Diagnostic Performance of Short Magnetic Resonance Imaging Protocols for Prostate Cancer Detection in Biopsy-naïve Men: The Next Step in Magnetic Resonance Imaging Accessibility. Eur Urol 2838(19):30436-1 Van der Leest M, Israël B, Cornel EB, et al. (2019) High Diagnostic Performance of Short Magnetic Resonance Imaging Protocols for Prostate Cancer Detection in Biopsy-naïve Men: The Next Step in Magnetic Resonance Imaging Accessibility. Eur Urol 2838(19):30436-1
24.
Zurück zum Zitat Greer MD, Shih JH, Lay N, et al (2017) Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2. Radiology 285(3):859-869CrossRefPubMedPubMedCentral Greer MD, Shih JH, Lay N, et al (2017) Validation of the Dominant Sequence Paradigm and Role of Dynamic Contrast-enhanced Imaging in PI-RADS Version 2. Radiology 285(3):859-869CrossRefPubMedPubMedCentral
25.
26.
Zurück zum Zitat Rosenkrantz AB, Babb JS, Taneja SS, et al. (2017) Proposed Adjustments to PI-RADS Version 2 Decision Rules: Impact on Prostate Cancer Detection. Radiology 283(1):119–129CrossRefPubMed Rosenkrantz AB, Babb JS, Taneja SS, et al. (2017) Proposed Adjustments to PI-RADS Version 2 Decision Rules: Impact on Prostate Cancer Detection. Radiology 283(1):119–129CrossRefPubMed
27.
Zurück zum Zitat Rosenkrantz AB, Oto A, Turkbey B, et al. (2016) Prostate Imaging Reporting and Data System (PI-RADS), Version 2: A Critical Look. AJR Am J Roentgenol 206(6):1179–1183CrossRefPubMed Rosenkrantz AB, Oto A, Turkbey B, et al. (2016) Prostate Imaging Reporting and Data System (PI-RADS), Version 2: A Critical Look. AJR Am J Roentgenol 206(6):1179–1183CrossRefPubMed
28.
Zurück zum Zitat Ullrich T, Arsov C, Quentin M, et al. (2019) Analysis of PI-RADS 4 cases: Management recommendations for negatively biopsied patients. Eur J Radiol 113:1–6CrossRefPubMed Ullrich T, Arsov C, Quentin M, et al. (2019) Analysis of PI-RADS 4 cases: Management recommendations for negatively biopsied patients. Eur J Radiol 113:1–6CrossRefPubMed
29.
Zurück zum Zitat Bakir B, Onay A, Vural M, et al. (2019) Can Extraprostatic Extension Be Predicted by Tumor-Capsule Contact Length in Prostate Cancer? Relationship With International Society of Urological Pathology Grade Groups. AJRAm J Roentgenol 31:1–9 Bakir B, Onay A, Vural M, et al. (2019) Can Extraprostatic Extension Be Predicted by Tumor-Capsule Contact Length in Prostate Cancer? Relationship With International Society of Urological Pathology Grade Groups. AJRAm J Roentgenol 31:1–9
30.
Zurück zum Zitat Xing NZ, Wang MS, Fu Q, et al. (2019) Feasibility of prostatectomy without prostate biopsy in the era of new imaging technology and minimally invasive techniques. World J Clin Cases 7(12):1403–1409CrossRefPubMedPubMedCentral Xing NZ, Wang MS, Fu Q, et al. (2019) Feasibility of prostatectomy without prostate biopsy in the era of new imaging technology and minimally invasive techniques. World J Clin Cases 7(12):1403–1409CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Sackett J, Choyke PL, Turkbey B (2019) Prostate Imaging Reporting and Data System Version 2 for MRI of Prostate Cancer: Can We Do Better? AJR Am J Roentgenol 19:1–9 Sackett J, Choyke PL, Turkbey B (2019) Prostate Imaging Reporting and Data System Version 2 for MRI of Prostate Cancer: Can We Do Better? AJR Am J Roentgenol 19:1–9
32.
Zurück zum Zitat Jordan EJ, Fiske C, Zagoria R, et al. (2018) PI-RADS v2 and ADC values: Is there room for improvement? Abdom Radiol 43:3109–3116CrossRef Jordan EJ, Fiske C, Zagoria R, et al. (2018) PI-RADS v2 and ADC values: Is there room for improvement? Abdom Radiol 43:3109–3116CrossRef
33.
Zurück zum Zitat Shaish H, Kang SK, Rosenkrantz AB (2017) The utility of quantitative ADC values for differentiating high-risk from low-risk prostate cancer: A systematic review and meta-analysis. Abdom Radiol 42:260–270CrossRef Shaish H, Kang SK, Rosenkrantz AB (2017) The utility of quantitative ADC values for differentiating high-risk from low-risk prostate cancer: A systematic review and meta-analysis. Abdom Radiol 42:260–270CrossRef
34.
Zurück zum Zitat Chen T, Li M, Gu Y, et al. (2019) Prostate cancer differentiation and aggressiveness: Assessment with a radiomic-based model vs. PI-RADS v2. J Magn Reson Imaging 49:875–884CrossRefPubMed Chen T, Li M, Gu Y, et al. (2019) Prostate cancer differentiation and aggressiveness: Assessment with a radiomic-based model vs. PI-RADS v2. J Magn Reson Imaging 49:875–884CrossRefPubMed
35.
Zurück zum Zitat Greer MD, Lay N, Shih JH, et al. (2018) Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: An international multireader study. Eur Radiol 28:4407–4417CrossRefPubMed Greer MD, Lay N, Shih JH, et al. (2018) Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: An international multireader study. Eur Radiol 28:4407–4417CrossRefPubMed
36.
Zurück zum Zitat Othman AE, Falkner F, Weiss J, (2016). Effect of Temporal Resolution on Diagnostic Performance of Dynamic Contrast-Enhanced Magnetic Resonance Imaging of the Prostate. Invest Radiol 51(5):290-6CrossRefPubMed Othman AE, Falkner F, Weiss J, (2016). Effect of Temporal Resolution on Diagnostic Performance of Dynamic Contrast-Enhanced Magnetic Resonance Imaging of the Prostate. Invest Radiol 51(5):290-6CrossRefPubMed
37.
38.
Zurück zum Zitat Yu J, Fulcher AS, Winks SG, et al. (2017) Diagnosis of typical and atypical transition zone prostate cancer and its mimics at multiparametric prostate MRI. Br J Radiol 90(1073):20160693CrossRefPubMedPubMedCentral Yu J, Fulcher AS, Winks SG, et al. (2017) Diagnosis of typical and atypical transition zone prostate cancer and its mimics at multiparametric prostate MRI. Br J Radiol 90(1073):20160693CrossRefPubMedPubMedCentral
39.
Zurück zum Zitat Schimmöller L, Blondin D, Arsov C et al. (2016) MRI-Guided In-Bore Biopsy: Differences Between Prostate Cancer Detection and Localization in Primary and Secondary Biopsy Settings. AJR Am J Roentgenol 206(1):92-9CrossRefPubMed Schimmöller L, Blondin D, Arsov C et al. (2016) MRI-Guided In-Bore Biopsy: Differences Between Prostate Cancer Detection and Localization in Primary and Secondary Biopsy Settings. AJR Am J Roentgenol 206(1):92-9CrossRefPubMed
40.
Zurück zum Zitat Gupta RT, Kauffman CR, Garcia-Reyes K et al. (2015) Apparent Diffusion Coefficient Values of the Benign Central Zone of the Prostate: Comparison With Low- and High-Grade Prostate Cancer. AJR Am J Roentgenol 205(2):331-6CrossRefPubMedPubMedCentral Gupta RT, Kauffman CR, Garcia-Reyes K et al. (2015) Apparent Diffusion Coefficient Values of the Benign Central Zone of the Prostate: Comparison With Low- and High-Grade Prostate Cancer. AJR Am J Roentgenol 205(2):331-6CrossRefPubMedPubMedCentral
41.
Zurück zum Zitat Barrett T, Rajesh A, Rosenkrantz AB et al. (2019) PI-RADS version 2.1: one small step for prostate MRI. Clin Radiol 74(11):841-852 Barrett T, Rajesh A, Rosenkrantz AB et al. (2019) PI-RADS version 2.1: one small step for prostate MRI. Clin Radiol 74(11):841-852
42.
Zurück zum Zitat 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(3):894e902 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(3):894e902
43.
Zurück zum Zitat Li Y, Mongan J, Behr SC et al. (2016) Beyond Prostate Adenocarcinoma: Expanding the Differential Diagnosis in Prostate Pathologic Conditions. Radiographics 36(4):1055-75CrossRefPubMed Li Y, Mongan J, Behr SC et al. (2016) Beyond Prostate Adenocarcinoma: Expanding the Differential Diagnosis in Prostate Pathologic Conditions. Radiographics 36(4):1055-75CrossRefPubMed
44.
Zurück zum Zitat Valentin B, Blondin D, Ullrich T et al (2020) Can you trust the Prostate Imaging Reporting and Data System (PI-RADS) in special cases? Rofo 192: 1-4CrossRef Valentin B, Blondin D, Ullrich T et al (2020) Can you trust the Prostate Imaging Reporting and Data System (PI-RADS) in special cases? Rofo 192: 1-4CrossRef
Metadaten
Titel
Perspective: a critical assessment of PI-RADS 2.1
verfasst von
T. Ullrich
L. Schimmöller
Publikationsdatum
03.02.2020
Verlag
Springer US
Erschienen in
Abdominal Radiology / Ausgabe 12/2020
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-020-02424-7

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