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Articles published in
Eur J Radiol
    July 2026
  1. CUMMINGS C, Allen C, Dickinson L, Pendse D, et al
    Can prostate cancer be diagnosed with near certainty on MRI?
    Eur J Radiol. 2026;204:113107.
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    June 2026
  2. LEE YJ, Choi MH, Kim H, Jeong G, et al
    Vendor-neutral deep learning reconstruction of dynamic contrast-enhanced prostate MRI: Image quality improvement and preservation of diagnostic performance.
    Eur J Radiol. 2026;203:113020.
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  3. COELHO FMA, Mussi TC, Moreira LF, Vilas Boas IP, et al
    Limited reproducibility of PI-RADS v2.1 upgrading rule subcategorization in MRI-visible peripheral zone lesions: A lesion-level targeted-biopsy study.
    Eur J Radiol. 2026;203:113004.
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  4. HIGAKI A, Tamada T, Takeuchi M, Ueda Y, et al
    Impact of a commercial artificial intelligence decision-support system on biparametric MRI interpretation for detecting clinically significant prostate cancer: a retrospective single-center prostatectomy-validated multi-reader study across experience
    Eur J Radiol. 2026;203:112964.
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    May 2026
  5. ALTAN SA, Sakar R, Onay A, Kizil PG, et al
    Prostate imaging after focal ablation scoring after irreversible electroporation treatment in localized prostate cancer: Diagnostic accuracy and inter-reader agreement.
    Eur J Radiol. 2026;202:112948.
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  6. SINGH D, Salazar Gutierrez JP, Rouviere O, Giganti F, et al
    Use of Artificial Intelligence in prostate MRI: A rapid scoping review highlighting limited evidence in screening context.
    Eur J Radiol. 2026;202:112930.
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    April 2026
  7. KADIRLI K, Canturk A
    Real-world text-only inference of PI-RADS v2.1 from prostate MRI reports using large language models: a lesion-level, zone-aware study.
    Eur J Radiol. 2026;200:112838.
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    March 2026
  8. ZENG Y, Shen S, Ma H, Yin R, et al
    Early prediction via PET/CT for skeletal-related events in osteoporotic men with metastatic prostate cancer undergoing androgen deprivation therapy.
    Eur J Radiol. 2026;199:112822.
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  9. SONG JS, Jang W
    Prostate MRI quality assessment using PI-QUAL version 2: Comparative analysis between 1.5 T and 3 T scanners and its association with T-staging agreement.
    Eur J Radiol. 2026;199:112821.
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  10. WIBULPOLPRASERT P, Bihan DL, Leelarujijaroen P, Kampaengtip A, et al
    Potential of the signature index (S-index), a diffusion MRI Biomarker, to enhance diagnosis of clinically significant prostate cancer and decrease the rate of unnecessary biopsies.
    Eur J Radiol. 2026;199:112788.
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    December 2025
  11. XIANG F, Zeng Y, Zhang Z, Zhang Y, et al
    Predictive value of quantitative parameters from dual-tracer FDG and PSMA PET/CT for progression to castration resistance in patients with metastatic hormone-sensitive prostate cancer.
    Eur J Radiol. 2025;195:112614.
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    November 2025
  12. EHRENGUT C, Alberalar ND, Franz T, Horn LC, et al
    Evaluation of the TARGET score for MRI-based detection of prostate cancer recurrence in patients treated with HIFU hemiablation.
    Eur J Radiol. 2025;195:112572.
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  13. SHEN S, Liu B, Li Y, Zeng Y, et al
    mpMRI-based interpretable machine learning model for predicting castration-resistant prostate cancer risk.
    Eur J Radiol. 2025;195:112521.
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    September 2025
  14. YUN Y, Guo J, Shao N, Zhang X, et al
    Synthetic MRI as a T2WI alternative in bp-MRI: comparable image quality and improved PI-RADS performance.
    Eur J Radiol. 2025;193:112414.
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    August 2025
  15. ZHANG X, Shen H, Xu Q, Tu C, et al
    CT derived myocardial extracellular volume predict major adverse cardiovascular events in patients with prostate cancer.
    Eur J Radiol. 2025;192:112371.
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  16. AGROTIS G, Woo S, Jaderling F, Ursprung S, et al
    Radiological T-staging in prostate Cancer: Towards a universal MRI-based scoring system.
    Eur J Radiol. 2025;191:112363.
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    July 2025
  17. AGHAKHANYAN G, Barucci A, Pascali MA, Assante M, et al
    NAVIGATOR: A regional multimodal imaging biobank initiative powered by AI tools for precision medicine in oncology.
    Eur J Radiol. 2025;191:112327.
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  18. BRENDER JR, Ota M, Nguyen N, Ford JW, et al
    Predicting ADC map quality from T2-weighted MRI: A deep learning approach for early quality assessment to assist point-of-care.
    Eur J Radiol. 2025;191:112317.
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  19. CURIA B, Bortolotto C, Brizzi L, Santagostini S, et al
    Impact on MRI technologist of a PI-QUAL v2 educational program on prostate MRI image quality assessment.
    Eur J Radiol. 2025;191:112280.
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    June 2025
  20. NATALI T, Kurucz LM, Fusaglia M, Mertens LS, et al
    Automatic prostate volume estimation in transabdominal ultrasound images.
    Eur J Radiol. 2025;191:112274.
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  21. SINGH D, Chandran A, Panebianco V, Vilaseca J, et al
    MRI capacity assessment for prostate cancer screening in five sites of Europe.
    Eur J Radiol. 2025;190:112235.
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    May 2025
  22. SHIN JI, Park KJ, Park MY, Kim MH, et al
    Diagnostic performance of biparametric MRI according to prostate imaging quality (PI-QUAL) version 2: Analysis of Multi-Institutional Data.
    Eur J Radiol. 2025;189:112209.
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    March 2025
  23. ZHU W, Tang Y, Qi L, Gao X, et al
    Machine learning models for enhanced diagnosis and risk assessment of prostate cancer with (68)Ga-PSMA-617 PET/CT.
    Eur J Radiol. 2025;186:112063.
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  24. NIEUWENHOVE SV, Lhommel R, Pasoglou V, Damme JV, et al
    Fast (< 30 min) "All-in-One" whole-body MRI for TNM staging in high-risk prostate cancer (PCa): Feasibility and comparison to (68)Ga-Prostate Specific Membrane Antigen (PSMA)-PET/CT.
    Eur J Radiol. 2025;186:112033.
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  25. PAUSCH AM, Elsner C, Rupp NJ, Eberli D, et al
    Comparative analysis of TARGET and PI-FAB scores in mpMRI surveillance after HIFU therapy for localized prostate cancer.
    Eur J Radiol. 2025;186:112028.
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    February 2025
  26. TOKUDA B, Yamada K, Kozawa N, Takahata A, et al
    Temporal Evolution of multiparametric magnetic resonance imaging findings following lesion-targeted focal microwave tissue coagulation for localized prostate cancer.
    Eur J Radiol. 2025;185:111995.
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  27. PAUSCH AM, Ghafoor S, Notter R, Benke-Bruderer S, et al
    MRI-based risk stratification for clinically significant prostate cancer detection at biopsy: The value of zonal-specific PSA density and PSHS.
    Eur J Radiol. 2025;184:111982.
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  28. WALTER-RITTEL TC, Frisch A, Hamm CA, Baumgartner GL, et al
    Automated 24-sector grid-map algorithm for prostate mpMRI improves precision and efficacy of prostate lesion location reporting.
    Eur J Radiol. 2025;183:111897.
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    December 2024
  29. PONSIGLIONE A, Stanzione A, Minieri A, Musella R, et al
    Impact of software-assisted structured reporting on radiology residents approaching prostate MRI.
    Eur J Radiol. 2024;183:111889.
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  30. ASFUROGLU U, Asfuroglu BB, Ozer H, Inan MA, et al
    A comparative analysis of techniques for measuring tumor contact length in predicting extraprostatic extension.
    Eur J Radiol. 2024;181:111753.
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    October 2024
  31. BAYERL N, Adams LC, Cavallaro A, Bauerle T, et al
    Assessment of a fully-automated diagnostic AI software in prostate MRI: Clinical evaluation and histopathological correlation.
    Eur J Radiol. 2024;181:111790.
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  32. KLEIBURG F, de Geus-Oei LF, Luelmo SAC, Spijkerman R, et al
    PSMA PET/CT for treatment response evaluation at predefined time points is superior to PSA response for predicting survival in metastatic castration-resistant prostate cancer patients.
    Eur J Radiol. 2024;181:111774.
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    September 2024
  33. PONSIGLIONE A, Cereser L, Spina E, Mannacio L, et al
    PI-QUAL version 2: A Multi-Reader reproducibility study on multiparametric MRI from a tertiary referral center.
    Eur J Radiol. 2024;181:111716.
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    August 2024
  34. YADAV D, Dutruel SP, O'Dwyer E, Ricaurte-Fajardo A, et al
    PSMA PET improves characterization of dural-based intracranial lesions in patients with metastatic prostate cancer.
    Eur J Radiol. 2024;180:111711.
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  35. BECKER AS, Woo S, Leithner D, Tong A, et al
    The "Hungry Judge" effect on prostate MRI reporting: Chronobiological trends from 35'004 radiologist interpretations.
    Eur J Radiol. 2024;179:111665.
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    June 2024
  36. KLUCKERT J, Hotker AM, Da Mutten R, Konukoglu E, et al
    AI-based automated evaluation of image quality and protocol tailoring in patients undergoing MRI for suspected prostate cancer.
    Eur J Radiol. 2024;177:111581.
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    April 2024
  37. FRANSEN SJ, Roest C, Van Lohuizen QY, Bosma JS, et al
    Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences.
    Eur J Radiol. 2024;175:111470.
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  38. PAUSCH AM, Elsner C, Rupp NJ, Eberli D, et al
    MRI-based monitoring of prostate cancer after HIFU: Inter-reader agreement and diagnostic performance of the PI-FAB score.
    Eur J Radiol. 2024;175:111463.
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    March 2024
  39. QUENTIN M, Boschheidgen M, Radtke JP, Spohn F, et al
    MRI in-bore biopsy following MRI/US fusion-guided biopsy in patients with persistent suspicion of clinically significant prostate cancer.
    Eur J Radiol. 2024;175:111436.
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    January 2024
  40. GIGANTI F, Asbach P
    The backbone of prostate MRI: Technical acquisition and image quality.
    Eur J Radiol. 2024;172:111320.
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    December 2023
  41. REN X, Nur Salihin Yusoff M, Hartini Mohd Taib N, Zhang L, et al
    (68)Ga-prostate specific membrane antigen-11 PET/CT versus multiparametric MRI in the detection of primary prostate cancer: A systematic review and head-to-head comparative meta-analysis.
    Eur J Radiol. 2023;170:111274.
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  42. HARTH C, De Vulder N, Hermie L, Vanlangenhove P, et al
    Stereotactic transgluteal prostatic biopsy using Cone-Beam CT navigation and prebiopsy MRI image fusion in a patient without rectal access.
    Eur J Radiol. 2023;170:111265.
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  43. KHAN A, Moore CM, Minhaj Siddiqui M
    Prostate MRI and image quality: The urologist's perspective.
    Eur J Radiol. 2023;170:111255.
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  44. WENDEROTT K, Krups J, Luetkens JA, Gambashidze N, et al
    Prospective effects of an artificial intelligence-based computer-aided detection system for prostate imaging on routine workflow and radiologists' outcomes.
    Eur J Radiol. 2023;170:111252.
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    November 2023
  45. PAUSCH AM, Ghafoor S, Kluckert J, Rupp NJ, et al
    Risk factors for prostate cancer in men with false-negative mpMRI: A retrospective single center cohort study of image quality scores and clinical parameters.
    Eur J Radiol. 2023;170:111227.
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  46. AGGARWAL P, Singh H, Das CK, Mavuduru RS, et al
    Potential role of (68)Ga-PSMA PET/CT in metastatic renal cell cancer: A prospective study.
    Eur J Radiol. 2023;170:111218.
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  47. REHMAN I, Pang E, Harris AC, Chang SD, et al
    Bi-parametric prostate MRI with a recall system for contrast enhanced imaging: Improving accessibility while maintaining quality.
    Eur J Radiol. 2023;169:111186.
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  48. FLEMING H, Dias AB, Talbot N, Li X, et al
    Inter-reader variability and reproducibility of the PI-QUAL score in a multicentre setting.
    Eur J Radiol. 2023;168:111091.
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    October 2023
  49. AL-MONAJJED R, Radtke JP, Thomas M, Boschheidgen M, et al
    Multiparametric MRI characteristics of prostatitis and atrophy in the peripheral zone in men without prostate cancer.
    Eur J Radiol. 2023;169:111151.
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  50. ZHANG KS, Mayer P, Glemser PA, Tavakoli AA, et al
    Are T2WI PI-RADS sub-scores of transition zone prostate lesions biased by DWI information? A multi-reader, single-center study.
    Eur J Radiol. 2023;167:111026.
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  51. SABBAH M, Gutierrez P, Puech P
    MA-QC: Free online software for prostate MR quality control and PI-QUAL assessment.
    Eur J Radiol. 2023;167:111027.
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    September 2023
  52. SINGH S, Giganti F, Dickinson L, Rogers H, et al
    Prostate MR image quality of apparent diffusion coefficient maps versus fractional intracellular volume maps from VERDICT MRI using the PI-QUAL score and a dedicated Likert scale for artefacts.
    Eur J Radiol. 2023;168:111109.
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  53. YILMAZ EC, Harmon SA, Belue MJ, Merriman KM, et al
    Evaluation of a Deep Learning-based Algorithm for Post-Radiotherapy Prostate Cancer Local Recurrence Detection Using Biparametric MRI.
    Eur J Radiol. 2023;168:111095.
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    August 2023
  54. THIJSSEN LCP, de Rooij M, Barentsz JO, Huisman HJ, et al
    Radiomics based automated quality assessment for T2W prostate MR images.
    Eur J Radiol. 2023;165:110928.
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  55. DEIVASIGAMANI S, Kotamarti S, Adams ES, Seguier D, et al
    Reconciling discordance between PI-RADS 4 lesions and targeted biopsy: Early experience of a multidisciplinary quality improvement protocol with PI-RADS 4 subcategorization.
    Eur J Radiol. 2023;165:110929.
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    June 2023
  56. URSPRUNG S, Herrmann J, Joos N, Weiland E, et al
    Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imaging.
    Eur J Radiol. 2023;165:110953.
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  57. ZHANG KS, Neelsen CJO, Wennmann M, Glemser PA, et al
    Same-day repeatability and Between-Sequence reproducibility of Mean ADC in PI-RADS lesions.
    Eur J Radiol. 2023;165:110898.
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