Sandhu S, Moore CM, Chiong E et al (2021) Prostate cancer. Lancet 398:1075–1090. https://doi.org/10.1016/S0140-6736(21)00950-8
Article CAS PubMed Google Scholar
Ahmed HU, El-ShaterBosaily 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. https://doi.org/10.1016/S0140-6736(16)32401-1
Kasivisvanathan V, Rannikko AS, Borghi M et al (2018) MRI-targeted or standard biopsy for prostate-cancer diagnosis. N Engl J Med 378:1767–1777. https://doi.org/10.1056/NEJMoa1801993
Article PubMed PubMed Central Google Scholar
Purysko AS, Baroni RH, Giganti F et al (2021) PI-RADS version 2.1: a critical review, from the AJR special series on Radiology Reporting and Data Systems. AJR Am J Roentgenol 216:20–32. https://doi.org/10.2214/AJR.20.24495
Sathianathen NJ, Omer A, Harriss E et al (2020) Negative predictive value of multiparametric magnetic resonance imaging in the detection of clinically significant prostate cancer in the prostate imaging reporting and data system era: a systematic review and meta-analysis. Eur Urol 78:402–414. https://doi.org/10.1016/j.eururo.2020.03.048
Park KJ, Choi SH, Lee JS et al (2020) Risk stratification of prostate cancer according to PI-RADS® version 2 categories: meta-analysis for prospective studies. J Urol 204:1141–1149. https://doi.org/10.1097/JU.0000000000001306
Mazzone E, Stabile A, Pellegrino F et al (2021) Positive predictive value of prostate imaging reporting and data system version 2 for the detection of clinically significant prostate cancer: a systematic review and meta-analysis. Eur Urol Oncol 4:697–713. https://doi.org/10.1016/j.euo.2020.12.004
Westphalen AC, McCulloch CE, Anaokar JM et al (2020) Variability of the positive predictive value of PI-RADS for prostate MRI across 26 centers: experience of the Society of Abdominal Radiology Prostate Cancer Disease-focused Panel. Radiology 296:76–84. https://doi.org/10.1148/radiol.2020190646
Barrett T, Ghafoor S, Gupta RT et al (2022) Prostate MRI qualification: AJR expert panel narrative review. AJR Am J Roentgenol 219:691–702. https://doi.org/10.2214/AJR.22.27615
Stabile A, Giganti F, Rosenkrantz AB et al (2020) Multiparametric MRI for prostate cancer diagnosis: current status and future directions. Nat Rev Urol 17:41–61. https://doi.org/10.1038/s41585-019-0212-4
Barrett T, Lee K-L, de Rooij M, Giganti F (2024) Update on optimization of prostate MR imaging technique and image quality. Radiol Clin North Am 62:1–15. https://doi.org/10.1016/j.rcl.2023.06.006
Panebianco V, Giganti F, Kitzing YX et al (2018) An update of pitfalls in prostate mpMRI: a practical approach through the lens of PI-RADS v. 2 guidelines. Insights Imaging 9:87–101. https://doi.org/10.1007/s13244-017-0578-x
Noureldin M, Eldred-Evans D, Khoo CC et al (2021) Review article: MRI-targeted biopsies for prostate cancer diagnosis and management. World J Urol 39:57–63. https://doi.org/10.1007/s00345-020-03182-3
Article CAS PubMed Google Scholar
Cata E, Andras I, Ferro M et al (2020) Systematic sampling during MRI-US fusion prostate biopsy can overcome errors of targeting—prospective single center experience after 300 cases in first biopsy setting. Transl Androl Urol 9:2510–2518. https://doi.org/10.21037/tau-20-1001
Article PubMed PubMed Central Google Scholar
Hsieh P-F, Li P-I, Lin W-C et al (2023) Learning curve of transperineal MRI/US fusion prostate biopsy: 4-year experience. Life (Basel) 13. https://doi.org/10.3390/life13030638
Epstein JI, Egevad L, Amin MB et al (2016) The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma. Am J Surg Pathol 40:244–252. https://doi.org/10.1097/PAS.0000000000000530
Barrett T, de Rooij M, Giganti F et al (2023) Quality checkpoints in the MRI-directed prostate cancer diagnostic pathway. Nat Rev Urol 20:9–22. https://doi.org/10.1038/s41585-022-00648-4
Article CAS PubMed Google Scholar
de Rooij M, Israël B, Tummers M et al (2020) ESUR/ESUI consensus statements on multi-parametric MRI for the detection of clinically significant prostate cancer: quality requirements for image acquisition, interpretation and radiologists’ training. Eur Radiol 30:5404–5416. https://doi.org/10.1007/s00330-020-06929-z
Article PubMed PubMed Central Google Scholar
Barrett T, Padhani AR, Patel A et al (2021) Certification in reporting multiparametric magnetic resonance imaging of the prostate: recommendations of a UK consensus meeting. BJU Int 127:304–306. https://doi.org/10.1111/bju.15285
Serrao EM, Barrett T, Wadhwa K et al (2015) Investigating the ability of multiparametric MRI to exclude significant prostate cancer prior to transperineal biopsy. Can Urol Assoc J 9:853. https://doi.org/10.5489/cuaj.2895
Giganti F, Allen C, Emberton M et al (2020) Prostate Imaging Quality (PI-QUAL): a new quality control scoring system for multiparametric magnetic resonance imaging of the prostate from the PRECISION trial. Eur Urol Oncol 3:615–619. https://doi.org/10.1016/j.euo.2020.06.007
Rosenkrantz AB, Taneja SS (2014) Radiologist, be aware: ten pitfalls that confound the interpretation of multiparametric prostate MRI. AJR Am J Roentgenol 202:109–120. https://doi.org/10.2214/AJR.13.10699
Karanasios E, Caglic I, Zawaideh JP, Barrett T (2022) Prostate MRI quality: clinical impact of the PI-QUAL score in prostate cancer diagnostic work-up. Br J Radiol 95. https://doi.org/10.1259/bjr.20211372
Windisch O, Benamran D, Dariane C et al (2023) Role of the prostate imaging quality PI-QUAL score for prostate magnetic resonance image quality in pathological upstaging after radical prostatectomy: a multicentre European study. Eur Urol Open Sci 47:94–101. https://doi.org/10.1016/j.euros.2022.11.013
Brembilla G, Lavalle S, Parry T et al (2023) Impact of prostate imaging quality (PI-QUAL) score on the detection of clinically significant prostate cancer at biopsy. Eur J Radiol 164:110849. https://doi.org/10.1016/j.ejrad.2023.110849
Pötsch N, Rainer E, Clauser P et al (2022) Impact of PI-QUAL on PI-RADS and cancer yield in an MRI-TRUS fusion biopsy population. Eur J Radiol 154:110431. https://doi.org/10.1016/j.ejrad.2022.110431
Caglic I, Barrett T (2019) Optimising prostate mpMRI: prepare for success. Clin Radiol 74:831–840. https://doi.org/10.1016/j.crad.2018.12.003
Article CAS PubMed Google Scholar
Arnoldner MA, Polanec SH, Lazar M et al (2022) Rectal preparation significantly improves prostate imaging quality: assessment of the PI-QUAL score with visual grading characteristics. Eur J Radiol 147:110145. https://doi.org/10.1016/j.ejrad.2021.110145
Slough RA, Caglic I, Hansen NL et al (2018) Effect of hyoscine butylbromide on prostate multiparametric MRI anatomical and functional image quality. Clin Radiol 73:216.e9-216.e14. https://doi.org/10.1016/j.crad.2017.07.013
Article CAS PubMed Google Scholar
Caglic I, Hansen NL, Slough RA et al (2017) Evaluating the effect of rectal distension on prostate multiparametric MRI image quality. Eur J Radiol 90:174–180. https://doi.org/10.1016/j.ejrad.2017.02.029
Hansen NL, Koo BC, Gallagher FA et al (2017) Comparison of initial and tertiary centre second opinion reads of multiparametric magnetic resonance imaging of the prostate prior to repeat biopsy. Eur Radiol 27:2259–2266. https://doi.org/10.1007/s00330-016-4635-5
Ecke TH, Schwaiger D, Nesterov G et al (2021) Comparison of initial and second opinion reads of multiparametric magnetic resonance imaging of the prostate for transperineal template-guided biopsies with MRI-Ultrasound fusion. Urol Oncol 39:781.e1-781.e7. https://doi.org/10.1016/j.urolonc.2021.01.008
Borofsky S, George AK, Gaur S et al (2018) What are we missing? False-negative cancers at multiparametric MR imaging of the prostate. Radiology 286:186–195. https://doi.org/10.1148/radiol.2017152877
Truong M, Feng C, Hollenberg G et al (2018) A comprehensive analysis of cribriform morphology on magnetic resonance imaging/ultrasound fusion biopsy correlated with radical prostatectomy specimens. J Urol 199:106–113. https://doi.org/10.1016/j.juro.2017.07.037
Kim JY, Kim SH, Kim YH et al (2014) Low-risk prostate cancer: the accuracy of multiparametric MR imaging for detection. Radiology 271:435–444. https://doi.org/10.1148/radiol.13130801
Langer DL, van der Kwast TH, Evans AJ et al (2008) Intermixed normal tissue within prostate cancer: effect on MR imaging measurements of apparent diffusion coefficient and T2—sparse versus dense cancers. Radiology 249:900–908. https://doi.org/10.1148/radiol.2493080236
Schmid FA, Lieger L, Saba K et al (2023) Therapy decisions after diagnosis of prostate cancer in men with negative prostate MRI. Prostate 83:56–63. https://doi.org/10.1002/pros.24435
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