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Articles published in Eur Radiol

Retrieve available abstracts of 115 articles:
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Single Articles


    October 2026
  1. BREMBILLA G, Messina E, Barret T, Caglic I, et al
    Prostate cancer screening with MRI: insights from the ESUR Prostate MRI Working Group.
    Eur Radiol. 2026 Oct 15. doi: 10.1007/s00330-026-12863.
    PubMed     Abstract available


  2. POOCH E, Agrotis G, Schoots IG, Emberton M, et al
    Critical appraisal of artificial intelligence studies for prostate cancer detection on MRI.
    Eur Radiol. 2026 Oct 7. doi: 10.1007/s00330-026-12915.
    PubMed     Abstract available


  3. GIGANTI F, Leni R, Wagaskar V, Gandaglia G, et al
    Multicentre validation of the PRECISE scoring system for prostate MRI during active surveillance.
    Eur Radiol. 2026;36:7940-7953.
    PubMed     Abstract available


    September 2026
  4. D'ERME L, Avesani G, Russo L, Bottazzi S, et al
    Correction: Total diffusion volume on whole-body diffusion-weighted imaging is a strong prognostic marker of disease survival in metastatic castration-resistant prostate cancer.
    Eur Radiol. 2026 Sep 30. doi: 10.1007/s00330-026-12928.
    PubMed    


  5. COCHRAN RL, Parameswaran M, Nakrour N, Ghosh S, et al
    Clinical and MRI characteristics of germline pathogenic variant carriers diagnosed with prostate cancer.
    Eur Radiol. 2026 Sep 28. doi: 10.1007/s00330-026-12918.
    PubMed     Abstract available


  6. GUENZEL K, Poirot MG, van Loon A, Messina E, et al
    Multicentre evaluation of artificial intelligence risk classification for detection of clinically significant prostate cancer on biparametric MRI.
    Eur Radiol. 2026 Sep 26. doi: 10.1007/s00330-026-12888.
    PubMed     Abstract available


  7. CUOCOLO R, Ponsiglione A, Agrotis G, Barrett T, et al
    Current status and future directions of AI in prostate cancer detection on MRI: a special report from the ESUR prostate MRI working group authors.
    Eur Radiol. 2026 Sep 18. doi: 10.1007/s00330-026-12836.
    PubMed     Abstract available


  8. KLEIBURG F, Heijmen L, Witteveen A, van Duuren K, et al
    Prognostic value of baseline PSMA PET/CT for survival in synchronous metastatic hormone-sensitive prostate cancer: towards redefining low- and high-volume disease.
    Eur Radiol. 2026 Sep 16. doi: 10.1007/s00330-026-12875.
    PubMed     Abstract available


    August 2026
  9. D'ERME L, Avesani G, Russo L, Bottazzi S, et al
    Total diffusion volume on whole-body diffusion-weighted imaging is a strong prognostic marker of disease survival in metastatic castration-resistant prostate cancer.
    Eur Radiol. 2026 Aug 13. doi: 10.1007/s00330-026-12792.
    PubMed     Abstract available


  10. VAN LOHUIZEN Q, Fransen SJ, Yiasemis G, Twilt JJ, et al
    Diagnostic assessment of artificial intelligence reconstruction on accelerated prostate MRI: a retrospective, paired, multi-reader multi-case study.
    Eur Radiol. 2026;36:6440-6449.
    PubMed     Abstract available


  11. GOEDEGEBUURE EP, Boellaard TN, van Dijk-de Haan MC, Heijmink SWTPJ, et al
    Improving membranous urethral length measurements on prostate MRI: a comparison of online training methods.
    Eur Radiol. 2026;36:6419-6427.
    PubMed     Abstract available


    July 2026
  12. DIAS AB, Barentsz J, Allen C, Baroni RH, et al
    Prostate MRI quality improvement: a Roadmap from the ESUR Prostate MRI Working Group.
    Eur Radiol. 2026;36:5728-5744.
    PubMed     Abstract available


  13. SUSHENTSEV N, Arya Z, Budd J, Frary A, et al
    AI decision support for increasing prostate biopsy efficiency: a retrospective multicentre, multiscanner study.
    Eur Radiol. 2026;36:5719-5727.
    PubMed     Abstract available


  14. THORLEY N, Parry T, Brembilla G, Giganti F, et al
    Diagnostic accuracy of a 'stage-gated' approach for reporting prostate screening MRI: "Is less more?".
    Eur Radiol. 2026;36:5678-5687.
    PubMed     Abstract available


  15. MESSINA E, Borrelli A, Mezzapesa F, Laschena L, et al
    Artificial intelligence-assisted reading of non-contrast prostate MRI: application and concordance with expert interpretation in a screening population within the PROSA trial.
    Eur Radiol. 2026;36:5690-5700.
    PubMed     Abstract available


    June 2026
  16. AGROTIS G, Thimansson E, Schoots IG
    Reference standards in AI-assisted MRI readings in prostate cancer screening: primetime for benchmarking.
    Eur Radiol. 2026 Jun 3. doi: 10.1007/s00330-026-12657.
    PubMed    


  17. POOCH EHP, Agrotis G, Cai L, Emberton M, et al
    Semi-supervised learning in prostate MRI tumor detection approaches fully supervised performance on external validation.
    Eur Radiol. 2026;36:5011-5021.
    PubMed     Abstract available


  18. WOO S, Tong A, Becker AS, Friedman KP, et al
    Evaluating indeterminate bone lesions and lymph nodes on PSMA-PET: a multidisciplinary consensus algorithm and 1-year implementation results.
    Eur Radiol. 2026;36:5068-5081.
    PubMed     Abstract available


  19. DURMAZ S, Wu SJ, Lee KL, Shakur A, et al
    The effects of prostate volume and PI-RADS category on optimal PSA-density thresholds for biopsy decision-making.
    Eur Radiol. 2026;36:4503-4512.
    PubMed     Abstract available


    May 2026
  20. WOO S, Curti F, Vargas HA
    Is PSMA PET/CT the answer to MRI-occult prostate cancer? Yes, but with strings attached.
    Eur Radiol. 2026 May 27. doi: 10.1007/s00330-026-12664.
    PubMed    


  21. MAKWANA R, Esengur OT, Turkbey B
    Reproducibility analysis to support prostate MRI-informed care: independent validation of risk-stratified PSA density thresholds for clinically significant prostate cancer.
    Eur Radiol. 2026 May 13. doi: 10.1007/s00330-026-12556.
    PubMed    


  22. STEGARESCU P, Burian E, Lutz A, Perlis N, et al
    Prostate MRI learning curves: establishing training benchmarks for radiology and urology trainees.
    Eur Radiol. 2026;36:3431-3441.
    PubMed     Abstract available


    April 2026
  23. WAGNER T, Emberton M, Caglic I, Priftakis D, et al
    PSMA PET: the answer to MRI-occult prostate cancer... or another mirage?
    Eur Radiol. 2026 Apr 30. doi: 10.1007/s00330-026-12596.
    PubMed     Abstract available


  24. ABRAHAMSEN BS, Knudtsen IS, Tulipan AJ, Hernes E, et al
    Reference tissue uptake of [18F]PSMA-1007 in positron emission tomography of recurrent prostate cancer.
    Eur Radiol. 2026 Apr 23. doi: 10.1007/s00330-026-12496.
    PubMed     Abstract available


  25. WALLSTROM J, Jaderling F, Langkilde F, Arnsrud Godtman R, et al
    Ongoing and completed clinical trials on prostate cancer screening using MRI.
    Eur Radiol. 2026 Apr 16. doi: 10.1007/s00330-026-12533.
    PubMed     Abstract available


  26. SMITH H, Stavrinides V, Giganti F, Moore CM, et al
    Reply to the Letter to the Editor: Variation in prostate cancer growth rates in an MRI-based active surveillance cohort.
    Eur Radiol. 2026 Apr 2. doi: 10.1007/s00330-026-12492.
    PubMed    


  27. WANG Z, Yu C
    Letter to the Editor: Variation in prostate cancer growth rates in an MRI-based active surveillance cohort.
    Eur Radiol. 2026 Apr 1. doi: 10.1007/s00330-026-12488.
    PubMed    


    March 2026
  28. ANDRADE MA, Rodrigues H, Colhado CH, Godinho NJS, et al
    Artificial-intelligence models vs. radiologists in the detection of clinically significant prostate cancer on mpMRI: a meta-analysis.
    Eur Radiol. 2026 Mar 18. doi: 10.1007/s00330-026-12465.
    PubMed     Abstract available


    February 2026
  29. AGROTIS G, Jaderling F, Lakhani A, Moreira ASL, et al
    ESR Essentials: MRI-based T-staging in prostate cancer-practice recommendations by the European Society of Urogenital Radiology.
    Eur Radiol. 2026 Feb 20. doi: 10.1007/s00330-026-12397.
    PubMed     Abstract available


  30. STANZIONE A, Cuocolo R
    Less is more? Strategies for sustainable prostate cancer screening in the era of MRI.
    Eur Radiol. 2026 Feb 19. doi: 10.1007/s00330-025-12297.
    PubMed    


  31. VAN DEN KROONENBERG DL, Postema AW, Beerlage HP, Oddens JR, et al
    Reply to the Letter to the Editor: Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localizing clinically significant prostate cancer by simulation of targeted biopsies.
    Eur Radiol. 2026 Feb 10. doi: 10.1007/s00330-026-12342.
    PubMed    


  32. BARENTSZ J, Immerzeel J, van der Leest M, Cornel E, et al
    Letter to the Editor: Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localising clinically significant prostate cancer by simulation of targeted biopsies.
    Eur Radiol. 2026 Feb 10. doi: 10.1007/s00330-026-12339.
    PubMed    


  33. ENGLMAN C, Adebusoye B, Cosenza M, Del Prete A, et al
    Inter- and intra-rater variability of MRI-based lesion size measurements in active surveillance for prostate cancer: a multicentre study.
    Eur Radiol. 2026 Feb 6. doi: 10.1007/s00330-025-12318.
    PubMed     Abstract available


  34. RENARD-PENNA R
    The velocity challenge: MRI reveals highly variable prostate cancer growth rates in active surveillance.
    Eur Radiol. 2026 Feb 6. doi: 10.1007/s00330-025-12312.
    PubMed    


    January 2026
  35. DELBERGHE F, Li X, van den Kroonenberg DL, Turco S, et al
    Development of a quantitative multiparametric ultrasound and deep learning classifier for the detection of prostate cancer.
    Eur Radiol. 2026 Jan 30. doi: 10.1007/s00330-026-12323.
    PubMed     Abstract available


  36. MUGLIA VF, Verma S
    ReIMAGINE study insights: Can abbreviated bpMRI transform prostate cancer screening?
    Eur Radiol. 2026 Jan 22. doi: 10.1007/s00330-025-11957.
    PubMed    


  37. KASS PEREL T, Sussman MS, Ghai S
    Expanding the boundaries: rethinking ablation coverage in focal therapy for prostate cancer.
    Eur Radiol. 2026 Jan 16. doi: 10.1007/s00330-025-12245.
    PubMed    


  38. SMITH H, Stavrinides V, Giganti F, Moore CM, et al
    Variation in prostate cancer growth rates in an MRI-based active surveillance cohort.
    Eur Radiol. 2026 Jan 16. doi: 10.1007/s00330-025-12248.
    PubMed     Abstract available


  39. BITTON RR, Vertosick E, Khandwala Y, Korol G, et al
    Optimizing prostate cancer treatment with MR-guided focused ultrasound: the role of expanded ablation-to-lesion volume ratio.
    Eur Radiol. 2026 Jan 16. doi: 10.1007/s00330-025-12217.
    PubMed     Abstract available


  40. OZYORUK KB, Harmon SA, Yilmaz EC, Huang EP, et al
    Artificial intelligence-generated apparent diffusion coefficient (AI-ADC) maps for prostate gland assessment: a multi-reader study.
    Eur Radiol. 2026;36:288-295.
    PubMed     Abstract available


    December 2025
  41. BRATT O
    Efficacy endpoints of MRI-based prostate cancer screening: an epidemiological perspective.
    Eur Radiol. 2025 Dec 23. doi: 10.1007/s00330-025-12244.
    PubMed    


  42. LANGKILDE F, Gren M, Wallstrom J, Kuczera S, et al
    Evaluation of AI for prostate cancer detection in biparametric-MRI screening population data.
    Eur Radiol. 2025 Dec 8. doi: 10.1007/s00330-025-12198.
    PubMed     Abstract available


    November 2025
  43. YAN J, Jiang N, Wu S, Ren R, et al
    MRI evaluation of obturator internus muscle: its relationship with body composition and prognostic implications in prostate cancer patients undergoing ADT.
    Eur Radiol. 2025 Nov 27. doi: 10.1007/s00330-025-12156.
    PubMed     Abstract available


  44. FORREST AB, Kruse DE, Calio B, Ivey MC, et al
    Detection of clinically significant prostate cancer using targeted MRI-informed microultrasound biopsy.
    Eur Radiol. 2025 Nov 22. doi: 10.1007/s00330-025-12136.
    PubMed     Abstract available


  45. BARENTSZ JO, Ahmed HU, Miszczyk M, Catalano C, et al
    ESR Bridges: early-stage prostate cancer: new developments in imaging and treatment-a multidisciplinary view.
    Eur Radiol. 2025 Nov 7. doi: 10.1007/s00330-025-12125.
    PubMed    


  46. VAN DEN KROONENBERG DL, Delberghe F, Jager A, Postema AW, et al
    Evaluation of an artificial intelligence model based on multiparametric transrectal ultrasound for localizing clinically significant prostate cancer by simulation of targeted biopsies.
    Eur Radiol. 2025 Nov 6. doi: 10.1007/s00330-025-12114.
    PubMed     Abstract available


  47. WOO S, Russo L, Withey SJ, Dehghanpour A, et al
    ESUR: Opportunities for PSMA-PET/CT and whole-body MRI in advanced prostate cancer.
    Eur Radiol. 2025 Nov 5. doi: 10.1007/s00330-025-12089.
    PubMed     Abstract available


  48. CHENG Y, Shen L, Liao Q, Qin J, et al
    Multi-reader evaluation of the prostate imaging quality score system version 2 (PI-QUAL V2) and its clinical application.
    Eur Radiol. 2025;35:7027-7039.
    PubMed     Abstract available


  49. IVEY MC, Deivasigamani S, Kotamarti S, Mottaghi M, et al
    External validation of inter-reader reliability of the Prostate Imaging after Focal Ablation (PI-FAB) scoring system following focal cryoablation and focal high-intensity focused ultrasound.
    Eur Radiol. 2025;35:7004-7012.
    PubMed     Abstract available


    October 2025
  50. PONSIGLIONE A, Cimadamore A, Girometti R
    Unmasking "unconventional" prostate cancer histologies: A real diagnostic challenge?
    Eur Radiol. 2025 Oct 31. doi: 10.1007/s00330-025-12066.
    PubMed    


  51. RATA M, Tunariu N, Jiang Y, Hughes J, et al
    Serial T(1) and T(2) measurements of metastatic bone lesions in prostate cancer patients: MR fingerprinting vs conventional MRI.
    Eur Radiol. 2025 Oct 24. doi: 10.1007/s00330-025-12071.
    PubMed     Abstract available


  52. GIROMETTI R, Peruzzi V, Clauser P, Potsch N, et al
    Diffusion levels for quantitative assessment of the apparent diffusion coefficient value in prostate MRI: a proof-of-concept bicentric study.
    Eur Radiol. 2025;35:6171-6182.
    PubMed     Abstract available


    September 2025
  53. AGROTIS G, Ursprung S, Schoots IG
    Personalised prostate MRI: tailoring contrast medium use in an era of increasing demand.
    Eur Radiol. 2025;35:5710-5713.
    PubMed     Abstract available


  54. SYER T, Carmo B, Sanmugalingam N, Lawson B, et al
    On-table monitoring of prostate MRI could enable tailored utilisation of gadolinium contrast.
    Eur Radiol. 2025;35:5701-5709.
    PubMed     Abstract available


    August 2025
  55. THORLEY N, Parry T, Giganti F, Kopcke D, et al
    Diagnostic accuracy of abbreviated biparametric MRI for prostate cancer screening: a prospective feasibility study (ReIMAGINE study).
    Eur Radiol. 2025 Aug 6. doi: 10.1007/s00330-025-11837.
    PubMed     Abstract available


  56. NAVES AA, de Lion Gouvea G, Machado CVB, Colli LM, et al
    Reply to the Letter to the Editor: MRI-detected extranodal extension as a marker of prostate cancer aggressiveness.
    Eur Radiol. 2025 Aug 6. doi: 10.1007/s00330-025-11897.
    PubMed    


  57. KEIVANY MR, Zare H
    Letter to the Editor: MRI-detected extranodal extension as a marker of prostate cancer aggressiveness.
    Eur Radiol. 2025 Aug 6. doi: 10.1007/s00330-025-11896.
    PubMed    


  58. JOHNSON PM, Tong A, Ginocchio L, Del Hoyo JL, et al
    External evaluation of an open-source deep learning model for prostate cancer detection on bi-parametric MRI.
    Eur Radiol. 2025 Aug 3. doi: 10.1007/s00330-025-11865.
    PubMed     Abstract available


    July 2025
  59. NAVES AA, de Lion Gouvea G, Machado CVB, Colli LM, et al
    Reply to the Letter to the Editor: Translating MRI-detected extranodal extension into clinical practice in prostate cancer-practical considerations and future directions.
    Eur Radiol. 2025 Jul 11. doi: 10.1007/s00330-025-11811.
    PubMed    


  60. CHEN S, Fang Y, Cheng B
    Letter to the Editor: Translating MRI-detected extranodal extension into clinical practice in prostate cancer: practical considerations and future directions.
    Eur Radiol. 2025 Jul 11. doi: 10.1007/s00330-025-11810.
    PubMed    


  61. 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.
    PubMed     Abstract available


    June 2025
  62. 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.
    PubMed     Abstract available


  63. 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.
    PubMed     Abstract available


    April 2025
  64. 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.
    PubMed     Abstract available


  65. 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.
    PubMed     Abstract available


  66. 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.
    PubMed     Abstract available


  67. 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.
    PubMed     Abstract available


  68. 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.
    PubMed     Abstract available


  69. 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.
    PubMed     Abstract available


    March 2025
  70. 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.
    PubMed    


  71. 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.
    PubMed     Abstract available


  72. 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.
    PubMed     Abstract available


    February 2025
  73. 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.
    PubMed     Abstract available


  74. 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.
    PubMed    


    January 2025
  75. 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.
    PubMed    


  76. 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.
    PubMed     Abstract available


    December 2024
  77. 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.
    PubMed     Abstract available


  78. 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.
    PubMed     Abstract available


  79. 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.
    PubMed    


  80. 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.
    PubMed    


  81. 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.
    PubMed     Abstract available


  82. 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.
    PubMed     Abstract available


    November 2024
  83. 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.
    PubMed     Abstract available


  84. 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.
    PubMed     Abstract available


  85. 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.
    PubMed     Abstract available


  86. 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.
    PubMed     Abstract available


    October 2024
  87. 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.
    PubMed     Abstract available


  88. 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.
    PubMed     Abstract available


    September 2024
  89. 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.
    PubMed     Abstract available


    August 2024
  90. 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.
    PubMed     Abstract available


  91. ISRAEL B
    From data to decisions: deep learning is shaping prostate cancer diagnostics.
    Eur Radiol. 2024 Aug 2. doi: 10.1007/s00330-024-10997.
    PubMed    


    July 2024
  92. 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.
    PubMed     Abstract available


  93. 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.
    PubMed     Abstract available


  94. 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.
    PubMed     Abstract available


  95. 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.
    PubMed     Abstract available


    June 2024
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    Natural language processing pipeline to extract prostate cancer-related information from clinical notes.
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    May 2024
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    Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol.
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  100. BREMBILLA G, Giganti F
    Improving image quality in prostate MRI: the time is now.
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  101. 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.
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    April 2024
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    March 2024
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    February 2024
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    Key learning on the promise and limitations of MRI in prostate cancer screening.
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    January 2024
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  108. PANEBIANCO V
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    December 2023
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    Structured reporting in prostate cancer: the revolution of quality in nuclear medicine scan interpretation.
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  113. ASBACH P
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    November 2023
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    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.
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    Application of a validated prostate MRI deep learning system to independent same-vendor multi-institutional data: demonstration of transferability.
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