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Articles published in
Eur Radiol
    July 2025
  1. WOO S, Becker AS, Leithner D, Mayerhoefer ME, et al
    Discordance between prostate MRI and PSMA-PET/CT: the next big challenge for primary prostate tumor assessment?
    Eur Radiol. 2025;35:4043-4054.
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    June 2025
  2. FRANSEN SJ, Bosma JS, van Lohuizen Q, Roest C, et al
    Simulating workload reduction with an AI-based prostate cancer detection pathway using a prediction uncertainty metric.
    Eur Radiol. 2025 Jun 7. doi: 10.1007/s00330-025-11727.
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  3. LEE KL, Caglic I, Liao PH, Kessler DA, et al
    PI-QUAL version 2 image quality categorisation and inter-reader agreement compared to version 1.
    Eur Radiol. 2025;35:3096-3104.
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    April 2025
  4. CARLETTI F, Maggi M, Fazekas T, Rajwa P, et al
    Diagnostic accuracy of multiparametric MRI for detecting unconventional prostate cancer histology: a systematic review and meta-analysis.
    Eur Radiol. 2025 Apr 30. doi: 10.1007/s00330-025-11603.
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  5. AGROTIS G, Pooch EP, Marsitopoulos K, Vlychou M, et al
    Detection rates for prostate cancer using PI-RADS 2.1 upgrading rules in transition zone lesions align with risk assessment categories: a systematic review and meta-analysis.
    Eur Radiol. 2025 Apr 27. doi: 10.1007/s00330-025-11618.
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  6. AZMA YN, Boci N, Abramowicz K, Russo L, et al
    Influence of imaging method on fat fraction estimation for assessing bone marrow in metastatic prostate cancer.
    Eur Radiol. 2025 Apr 11. doi: 10.1007/s00330-025-11564.
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  7. NAVES AA, Gouvea GL, Machado CVB, Colli LM, et al
    MRI-detected extranodal extension as a marker of prostate cancer aggressiveness.
    Eur Radiol. 2025 Apr 5. doi: 10.1007/s00330-025-11532.
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  8. MAFFEI D, Moore CM
    Personalized risk-adapted models in prostate cancer during active surveillance using MRI-a narrative review.
    Eur Radiol. 2025 Apr 4. doi: 10.1007/s00330-025-11518.
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  9. CAMPBELL RA, Wood A, Schwen Z, Ward R, et al
    MRI and active surveillance: thoughts from across the pond.
    Eur Radiol. 2025;35:2157-2169.
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    March 2025
  10. EVANGELISTA L, Vallone C, Guglielmo P
    Optimizing prostate cancer diagnosis: combining imaging modalities for tailored treatment.
    Eur Radiol. 2025 Mar 25. doi: 10.1007/s00330-025-11551.
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  11. WOO S, Becker AS, Leithner D, Charbel C, et al
    PSMA-avid rib lesions in prostate cancer patients: differentiating false positives from metastatic disease.
    Eur Radiol. 2025 Mar 20. doi: 10.1007/s00330-025-11514.
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  12. PADHANI AR, Papanikolaou N
    AI and human interactions in prostate cancer diagnosis using MRI.
    Eur Radiol. 2025 Mar 7. doi: 10.1007/s00330-025-11498.
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    February 2025
  13. GIGANTI F, Moreira da Silva N, Yeung M, Davies L, et al
    AI-powered prostate cancer detection: a multi-centre, multi-scanner validation study.
    Eur Radiol. 2025 Feb 28. doi: 10.1007/s00330-024-11323.
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  14. HAIDER MA
    PI-CAI: a landmark AI study for prostate cancer detection on MRI.
    Eur Radiol. 2025 Feb 17. doi: 10.1007/s00330-025-11454.
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    January 2025
  15. PANEBIANCO V, Catalano C, Sanguedolce F, De Santis M, et al
    ESR Bridges: next-generation imaging in prostate cancer-a multidisciplinary view.
    Eur Radiol. 2025 Jan 31. doi: 10.1007/s00330-025-11354.
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  16. KLEIBURG F, de Geus-Oei LF, Spijkerman R, Noortman WA, et al
    Baseline PSMA PET/CT parameters predict overall survival and treatment response in metastatic castration-resistant prostate cancer patients.
    Eur Radiol. 2025 Jan 22. doi: 10.1007/s00330-025-11360.
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    December 2024
  17. CAVALLO AU, Stanzione A, Ponsiglione A, Trotta R, et al
    Prostate cancer MRI methodological radiomics score: a EuSoMII radiomics auditing group initiative.
    Eur Radiol. 2024 Dec 30. doi: 10.1007/s00330-024-11299.
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  18. DEBS N, Routier A, Bone A, Rohe MM, et al
    Evaluation of a deep learning prostate cancer detection system on biparametric MRI against radiological reading.
    Eur Radiol. 2024 Dec 19. doi: 10.1007/s00330-024-11287.
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  19. BAUCKNEHT M, Laudicella R, Lanfranchi F, Ciccarese C, et al
    PSMA PET/CT in staging recurrent prostate cancer: a viewfinder, not a compass.
    Eur Radiol. 2024 Dec 18. doi: 10.1007/s00330-024-11297.
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  20. BAUCKNEHT M, Laudicella R, Lanfranchi F, Burger IA, et al
    Unspecific bone uptakes in PSMA PET for prostate cancer: why do they matter?
    Eur Radiol. 2024 Dec 4. doi: 10.1007/s00330-024-11252.
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  21. DIAS AB, Woo S, Leni R, Rajwa P, et al
    Is MRI ready to replace biopsy during active surveillance?
    Eur Radiol. 2024;34:7716-7727.
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  22. BOZGO V, Roest C, van Oort I, Yakar D, et al
    Prostate MRI and artificial intelligence during active surveillance: should we jump on the bandwagon?
    Eur Radiol. 2024;34:7698-7704.
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    November 2024
  23. RATA M, Orton MR, Tunariu N, Curcean A, et al
    Repeatability of quantitative MR fingerprinting for T(1) and T(2) measurements of metastatic bone in prostate cancer patients.
    Eur Radiol. 2024 Nov 6. doi: 10.1007/s00330-024-11162.
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  24. DE ROOIJ M, Allen C, Twilt JJ, Thijssen LCP, et al
    PI-QUAL version 2: an update of a standardised scoring system for the assessment of image quality of prostate MRI.
    Eur Radiol. 2024;34:7068-7079.
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  25. PONSIGLIONE A, Brembilla G, Cuocolo R, Gutierrez P, et al
    ESR Essentials: using the right scoring system in prostate MRI-practice recommendations by ESUR.
    Eur Radiol. 2024;34:7481-7491.
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  26. VAN LOHUIZEN Q, Roest C, Simonis FFJ, Fransen SJ, et al
    Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics.
    Eur Radiol. 2024;34:7364-7372.
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    October 2024
  27. HAMM CA, Baumgartner GL, Padhani AR, Frobose KP, et al
    Reduction of false positives using zone-specific prostate-specific antigen density for prostate MRI-based biopsy decision strategies.
    Eur Radiol. 2024;34:6229-6240.
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  28. MARVASO G, Isaksson LJ, Zaffaroni M, Vincini MG, et al
    Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models.
    Eur Radiol. 2024;34:6241-6253.
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    September 2024
  29. BOSCHHEIDGEN M, Schimmoller L, Radtke JP, Kastl R, et al
    MRI characteristics predict risk of pathological upgrade in patients with ISUP grade group 1 prostate cancer.
    Eur Radiol. 2024 Sep 13. doi: 10.1007/s00330-024-11062.
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    August 2024
  30. FRANSEN SJ, Kwee TC, Rouw D, Roest C, et al
    Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRI.
    Eur Radiol. 2024 Aug 14. doi: 10.1007/s00330-024-11012.
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  31. ISRAEL B
    From data to decisions: deep learning is shaping prostate cancer diagnostics.
    Eur Radiol. 2024 Aug 2. doi: 10.1007/s00330-024-10997.
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    July 2024
  32. AGROTIS G, Pooch E, Abdelatty M, Benson S, et al
    Diagnostic performance of ADC and ADCratio in MRI-based prostate cancer assessment: A systematic review and meta-analysis.
    Eur Radiol. 2024 Jul 12. doi: 10.1007/s00330-024-10890.
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  33. SCHRADER A, Netzer N, Hielscher T, Gortz M, et al
    Prostate cancer risk assessment and avoidance of prostate biopsies using fully automatic deep learning in prostate MRI: comparison to PI-RADS and integration with clinical data in nomograms.
    Eur Radiol. 2024 Jul 2. doi: 10.1007/s00330-024-10818.
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  34. STANZIONE A, Lee KL, Sanmugalingam N, Rajendran I, et al
    Expect the unexpected: investigating discordant prostate MRI and biopsy results.
    Eur Radiol. 2024;34:4810-4820.
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  35. LANGKILDE F, Masaba P, Edenbrandt L, Gren M, et al
    Manual prostate MRI segmentation by readers with different experience: a study of the learning progress.
    Eur Radiol. 2024;34:4801-4809.
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    June 2024
  36. PADHANI AR, Tunariu N, Perez-Lopez R, Tombal B, et al
    Evaluating prostate cancer bone metastases response with whole-body MRI: What we know and still need to know.
    Eur Radiol. 2024 Jun 20. doi: 10.1007/s00330-024-10864.
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  37. NAKAI H, Suman G, Adamo DA, Navin PJ, et al
    Natural language processing pipeline to extract prostate cancer-related information from clinical notes.
    Eur Radiol. 2024 Jun 6. doi: 10.1007/s00330-024-10812.
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  38. PONSIGLIONE A, Gambardella M, Stanzione A, Green R, et al
    Radiomics for the identification of extraprostatic extension with prostate MRI: a systematic review and meta-analysis.
    Eur Radiol. 2024;34:3981-3991.
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    May 2024
  39. OERTHER B, Engel H, Nedelcu A, Strecker R, et al
    Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol.
    Eur Radiol. 2024 May 23. doi: 10.1007/s00330-024-10776.
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  40. BREMBILLA G, Giganti F
    Improving image quality in prostate MRI: the time is now.
    Eur Radiol. 2024;34:3385-3386.
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  41. NAKAI H, Takahashi H, Adamo DA, LeGout JD, et al
    Decreased prostate MRI cancer detection rate due to moderate to severe susceptibility artifacts from hip prosthesis.
    Eur Radiol. 2024;34:3387-3399.
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    April 2024
  42. MUGLIA VF
    Refining clinical decision strategies and prostate cancer detection through fine adjustments in the combination of PSA-derived parameters and MRI.
    Eur Radiol. 2024 Apr 29. doi: 10.1007/s00330-024-10734.
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  43. CAGLIC I, Sushentsev N, Syer T, Lee KL, et al
    Biparametric MRI in prostate cancer during active surveillance: is it safe?
    Eur Radiol. 2024 Apr 24. doi: 10.1007/s00330-024-10770.
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  44. BOELLAARD TN, van Dijk-de Haan MC, Heijmink SWTPJ, Tillier CN, et al
    Membranous urethral length measurement on preoperative MRI to predict incontinence after radical prostatectomy: a literature review towards a proposal for measurement standardization.
    Eur Radiol. 2024;34:2621-2640.
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    March 2024
  45. GIROMETTI R, Giganti F
    Active surveillance of prostate cancer: MRI and beyond.
    Eur Radiol. 2024 Mar 28. doi: 10.1007/s00330-024-10717.
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    February 2024
  46. PADHANI AR, Godtman RA, Schoots IG
    Key learning on the promise and limitations of MRI in prostate cancer screening.
    Eur Radiol. 2024 Feb 5. doi: 10.1007/s00330-024-10626.
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    January 2024
  47. MAZZETTI S, Defeudis A, Nicoletti G, Chiorino G, et al
    Development and validation of a clinical decision support system based on PSA, microRNAs, and MRI for the detection of prostate cancer.
    Eur Radiol. 2024 Jan 4. doi: 10.1007/s00330-023-10542.
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  48. PANEBIANCO V
    Prostate cancer imaging for primary detection: PSMA-PET/CT vs MRI. All that glitters is not gold.
    Eur Radiol. 2024 Jan 2. doi: 10.1007/s00330-023-10547.
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    December 2023
  49. EVANGELISTA L, Filippi L
    Structured reporting in prostate cancer: the revolution of quality in nuclear medicine scan interpretation.
    Eur Radiol. 2023 Dec 20. doi: 10.1007/s00330-023-10507.
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  50. NOTO B, Eveslage M, Auf der Springe K, Exler A, et al
    Robustness of apparent diffusion coefficient-based lymph node classification for diagnosis of prostate cancer metastasis.
    Eur Radiol. 2023 Dec 15. doi: 10.1007/s00330-023-10406.
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  51. JANNUSCH K, Bruckmann NM, Morawitz J, Boschheidgen M, et al
    Recurrent prostate cancer: combined role for MRI and PSMA-PET in (68)Ga-PSMA-11 PET/MRI.
    Eur Radiol. 2023 Dec 1. doi: 10.1007/s00330-023-10442.
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  52. ROUVIERE O
    Contrast-medium administration for prostate MRI can be abandoned: no(t so simple)!
    Eur Radiol. 2023;33:8415-8416.
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  53. ASBACH P
    Contrast-medium administration for prostate MRI: yes! Contrast-medium administration can be abandoned.
    Eur Radiol. 2023;33:8413-8414.
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    November 2023
  54. MA J, Yang Q, Ye X, Xu W, et al
    Head-to-head comparison of prostate-specific membrane antigen PET and multiparametric MRI in the diagnosis of pretreatment patients with prostate cancer: a meta-analysis.
    Eur Radiol. 2023 Nov 20. doi: 10.1007/s00330-023-10436.
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  55. NETZER N, Eith C, Bethge O, Hielscher T, et al
    Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability.
    Eur Radiol. 2023;33:7463-7476.
    >> Share


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