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  Prostate Cancer

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Articles published in Eur Radiol

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Single Articles


    January 2025
  1. 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    


  2. 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
  3. 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


  4. 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


  5. 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    


  6. 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    


  7. 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


  8. 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
  9. 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


  10. 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


  11. 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


  12. 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
  13. 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


  14. 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
  15. 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
  16. 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


  17. 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
  18. 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


  19. 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


  20. 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


  21. 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
  22. 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.
    PubMed    


  23. 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.
    PubMed     Abstract available


  24. 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.
    PubMed     Abstract available


    May 2024
  25. 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.
    PubMed     Abstract available


  26. BREMBILLA G, Giganti F
    Improving image quality in prostate MRI: the time is now.
    Eur Radiol. 2024;34:3385-3386.
    PubMed    


  27. 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.
    PubMed     Abstract available


    April 2024
  28. 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.
    PubMed    


  29. 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.
    PubMed     Abstract available


  30. 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.
    PubMed     Abstract available


    March 2024
  31. GIROMETTI R, Giganti F
    Active surveillance of prostate cancer: MRI and beyond.
    Eur Radiol. 2024 Mar 28. doi: 10.1007/s00330-024-10717.
    PubMed    


    February 2024
  32. 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.
    PubMed     Abstract available


    January 2024
  33. 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.
    PubMed     Abstract available


  34. 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.
    PubMed    


    December 2023
  35. 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.
    PubMed    


  36. 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.
    PubMed     Abstract available


  37. 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.
    PubMed     Abstract available


  38. ROUVIERE O
    Contrast-medium administration for prostate MRI can be abandoned: no(t so simple)!
    Eur Radiol. 2023;33:8415-8416.
    PubMed    


  39. ASBACH P
    Contrast-medium administration for prostate MRI: yes! Contrast-medium administration can be abandoned.
    Eur Radiol. 2023;33:8413-8414.
    PubMed    


    November 2023
  40. 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.
    PubMed     Abstract available


  41. 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.
    PubMed     Abstract available


    September 2023
  42. COHEN D, Hazut Krauthammer S, Fahoum I, Kesler M, et al
    PET radiotracers for whole-body in vivo molecular imaging of prostatic neuroendocrine malignancies.
    Eur Radiol. 2023;33:6502-6512.
    PubMed     Abstract available


    August 2023
  43. FRANCO PN, Frade-Santos S, Garcia-Baizan A, Paredes-Velazquez L, et al
    An MRI assessment of prostate cancer local recurrence using the PI-RR system: diagnostic accuracy, inter-observer reliability among readers with variable experience, and correlation with PSA values.
    Eur Radiol. 2023 Aug 30. doi: 10.1007/s00330-023-09949.
    PubMed     Abstract available


  44. GRAWE F, Blom F, Winkelmann M, Burgard C, et al
    Reliability and practicability of PSMA-RADS 1.0 for structured reporting of PSMA-PET/CT scans in prostate cancer patients.
    Eur Radiol. 2023 Aug 25. doi: 10.1007/s00330-023-10083.
    PubMed     Abstract available


  45. DONNERS R, Tunariu N, Tovey H, Hall E, et al
    The value of baseline 18F-sodium fluoride and 18F-choline PET activity for identifying responders to radium-223 treatment in castration-resistant prostate cancer bone metastases.
    Eur Radiol. 2023 Aug 24. doi: 10.1007/s00330-023-10172.
    PubMed     Abstract available


  46. MESSINA E, La Torre G, Pecoraro M, Pisciotti ML, et al
    Design of a magnetic resonance imaging-based screening program for early diagnosis of prostate cancer: preliminary results of a randomized controlled trial-Prostate Cancer Secondary Screening in Sapienza (PROSA).
    Eur Radiol. 2023 Aug 10. doi: 10.1007/s00330-023-10019.
    PubMed     Abstract available


  47. MESSINA E, Pecoraro M, Laschena L, Bicchetti M, et al
    Low cancer yield in PI-RADS 3 upgraded to 4 by dynamic contrast-enhanced MRI: is it time to reconsider scoring categorization?
    Eur Radiol. 2023;33:5828-5839.
    PubMed     Abstract available


    July 2023
  48. NHAT TO MN, Kwak JT
    Retraction Note: Biparametric MR signal characteristics can predict histopathological measures of prostate cancer.
    Eur Radiol. 2023 Jul 31. doi: 10.1007/s00330-023-09887.
    PubMed    


  49. LIU G, Pan S, Zhao R, Zhou H, et al
    The added value of AI-based computer-aided diagnosis in classification of cancer at prostate MRI.
    Eur Radiol. 2023;33:5118-5130.
    PubMed     Abstract available


  50. JIMENEZ-PASTOR A, Lopez-Gonzalez R, Fos-Guarinos B, Garcia-Castro F, et al
    Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks.
    Eur Radiol. 2023;33:5087-5096.
    PubMed     Abstract available


    May 2023
  51. ASBACH P, Padhani AR
    Are upgraded DCE-positive PI-RADS 3 lesions truly suspicious for clinically significant prostate cancer?
    Eur Radiol. 2023 May 8. doi: 10.1007/s00330-023-09711.
    PubMed    


  52. PADHANI AR, Schoots IG
    Prostate cancer screening-stepping forward with MRI.
    Eur Radiol. 2023 May 8. doi: 10.1007/s00330-023-09673.
    PubMed     Abstract available


  53. PUECH P, Gutierrez PA, Berg-Logager V, Villeirs G, et al
    How should we prepare a generation of radiologists for MRI-based prostate cancer screening?
    Eur Radiol. 2023 May 6. doi: 10.1007/s00330-023-09680.
    PubMed    


  54. DONSWIJK ML, Piek MW, Cheung Z, Wondergem M, et al
    Incidence of PSMA PET thyroid incidentaloma depends on analysis method and tracer.
    Eur Radiol. 2023;33:3377-3385.
    PubMed     Abstract available


  55. VEERMAN H, Hagens MJ, Hoeks CM, van der Poel HG, et al
    A standardized method to measure the membranous urethral length (MUL) on MRI of the prostate with high inter- and intra-observer agreement.
    Eur Radiol. 2023;33:3295-3302.
    PubMed     Abstract available


    April 2023
  56. MARTURANO F, Guglielmo P, Bettinelli A, Zattoni F, et al
    Role of radiomic analysis of [(18)F]fluoromethylcholine PET/CT in predicting biochemical recurrence in a cohort of intermediate and high risk prostate cancer patients at initial staging.
    Eur Radiol. 2023 Apr 20. doi: 10.1007/s00330-023-09642.
    PubMed     Abstract available


  57. GAUR S
    Commentary: considering radiomics in the setting of prostate cancer active surveillance.
    Eur Radiol. 2023 Apr 18. doi: 10.1007/s00330-023-09634.
    PubMed    


  58. SCHIRO S, Milanese G, Maddalo M, Ziglioli F, et al
    MR-based simplified extraprostatic extension evaluation: comparison of performances of different predictive models.
    Eur Radiol. 2023;33:2975-2984.
    PubMed     Abstract available


  59. THIMANSSON E, Bengtsson J, Baubeta E, Engman J, et al
    Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.
    Eur Radiol. 2023;33:2519-2528.
    PubMed     Abstract available


  60. PARK MY, Park KJ, Kim MH, Kim JK, et al
    Focal nodular enhancement on DCE MRI of the prostatectomy bed: radiologic-pathologic correlations and prognostic value.
    Eur Radiol. 2023;33:2985-2994.
    PubMed     Abstract available


    March 2023
  61. QIN C, Goldberg O, Kakar G, Wan S, et al
    MRI fat fraction imaging of nodal and bone metastases in prostate cancer.
    Eur Radiol. 2023 Mar 16. doi: 10.1007/s00330-023-09527.
    PubMed     Abstract available


  62. BAUCKNEHT M, Miceli A, Signori A, Albano D, et al
    Combined forced diuresis and late acquisition on [(68)Ga]Ga-PSMA-11 PET/CT for biochemical recurrent prostate cancer: a clinical practice-oriented study.
    Eur Radiol. 2023 Mar 9. doi: 10.1007/s00330-023-09516.
    PubMed     Abstract available


    February 2023
  63. SUSHENTSEV N, Rundo L, Abrego L, Li Z, et al
    Time series radiomics for the prediction of prostate cancer progression in patients on active surveillance.
    Eur Radiol. 2023 Feb 7. doi: 10.1007/s00330-023-09438.
    PubMed     Abstract available


    January 2023
  64. LABUS S, Altmann MM, Huisman H, Tong A, et al
    A concurrent, deep learning-based computer-aided detection system for prostate multiparametric MRI: a performance study involving experienced and less-experienced radiologists.
    Eur Radiol. 2023;33:64-76.
    PubMed     Abstract available


  65. GIGANTI F, Cole AP, Fennessy FM, Clinton T, et al
    Promoting the use of the PI-QUAL score for prostate MRI quality: results from the ESOR Nicholas Gourtsoyiannis teaching fellowship.
    Eur Radiol. 2023;33:461-471.
    PubMed     Abstract available


    November 2022
  66. DENIFFEL D, Perlis N, Ghai S, Girgis S, et al
    Prostate biopsy in the era of MRI-targeting: towards a judicious use of additional systematic biopsy.
    Eur Radiol. 2022;32:7544-7554.
    PubMed     Abstract available


  67. CORNUD F, Lefevre A, Camparo P, Barat M, et al
    Post-MRI transrectal micro-ultrasonography of transition zone PI-RADS > 2 lesions for biopsy guidance.
    Eur Radiol. 2022;32:7504-7512.
    PubMed     Abstract available


    October 2022
  68. LIAO Z, Liu G, Ming B, Ma C, et al
    Evaluating prostate cancer bone metastasis using accelerated whole-body isotropic 3D T1-weighted Dixon MRI with compressed SENSE: a feasibility study.
    Eur Radiol. 2022 Oct 21. pii: 10.1007/s00330-022-09181.
    PubMed     Abstract available


    September 2022
  69. GANDAGLIA G, Giannarini G, Stabile A, Montorsi F, et al
    Should we combine systematic with MRI-targeted biopsy? Implications for the management of patients with prostate cancer.
    Eur Radiol. 2022 Sep 15. pii: 10.1007/s00330-022-09096.
    PubMed    


  70. PANEBIANCO V, Turkbey B
    Magnetic resonance imaging for prostate cancer recurrence: it's time for precision diagnostic with Prostate Imaging for Recurrence Reporting (PI-RR) score.
    Eur Radiol. 2022 Sep 1. pii: 10.1007/s00330-022-09095.
    PubMed    


    August 2022
  71. ROEST C, Kwee TC, Saha A, Futterer JJ, et al
    AI-assisted biparametric MRI surveillance of prostate cancer: feasibility study.
    Eur Radiol. 2022 Aug 12. pii: 10.1007/s00330-022-09032.
    PubMed     Abstract available


  72. RUD E, Noor D, Galtung KF, Ottosson F, et al
    Validating the screening criteria for bone metastases in treatment-naive unfavorable intermediate and high-risk prostate cancer - the prevalence and location of bone- and lymph node metastases.
    Eur Radiol. 2022 Aug 8. pii: 10.1007/s00330-022-08945.
    PubMed     Abstract available


    July 2022
  73. DONNERS R, Fotiadis N, Figueiredo I, Blackledge M, et al
    Optimising CT-guided biopsies of sclerotic bone lesions in cancer patients.
    Eur Radiol. 2022 Jul 26. pii: 10.1007/s00330-022-09011.
    PubMed     Abstract available


  74. BEHESHTI M, Taimen P, Kemppainen J, Jambor I, et al
    Value of (68)Ga-labeled bombesin antagonist (RM2) in the detection of primary prostate cancer comparing with [(18)F]fluoromethylcholine PET-CT and multiparametric MRI-a phase I/II study.
    Eur Radiol. 2022 Jul 21. pii: 10.1007/s00330-022-08982.
    PubMed     Abstract available


  75. HAMZAOUI D, Montagne S, Granger B, Allera A, et al
    Prostate volume prediction on MRI: tools, accuracy and variability.
    Eur Radiol. 2022;32:4931-4941.
    PubMed     Abstract available


    June 2022
  76. SUSHENTSEV N, McLean MA, Warren AY, Brodie C, et al
    The potential of hyperpolarised (13)C-MRI to target glycolytic tumour core in prostate cancer.
    Eur Radiol. 2022 Jun 22. pii: 10.1007/s00330-022-08929.
    PubMed     Abstract available


    May 2022
  77. TO MNN, Kwak JT
    Biparametric MR signal characteristics can predict histopathological measures of prostate cancer.
    Eur Radiol. 2022 May 4. pii: 10.1007/s00330-022-08808.
    PubMed     Abstract available


    April 2022
  78. MA W, Mao J, Yang J, Wang T, et al
    Comparing the diagnostic performance of radiotracers in prostate cancer biochemical recurrence: a systematic review and meta-analysis.
    Eur Radiol. 2022 Apr 29. pii: 10.1007/s00330-022-08802.
    PubMed     Abstract available


  79. BLEKER J, Kwee TC, Rouw D, Roest C, et al
    A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics.
    Eur Radiol. 2022 Apr 14. pii: 10.1007/s00330-022-08712.
    PubMed     Abstract available


  80. PADHANI AR, Haider MA, Rouviere O
    Balancing the benefits and harms of MRI-directed biopsy pathways.
    Eur Radiol. 2022;32:2326-2329.
    PubMed     Abstract available


  81. MICHALLEK F, Huisman H, Hamm B, Elezkurtaj S, et al
    Accuracy of fractal analysis and PI-RADS assessment of prostate magnetic resonance imaging for prediction of cancer grade groups: a clinical validation study.
    Eur Radiol. 2022;32:2372-2383.
    PubMed     Abstract available


    March 2022
  82. GATTI M, Faletti R, Gentile F, Soncin E, et al
    mEPE-score: a comprehensive grading system for predicting pathologic extraprostatic extension of prostate cancer at multiparametric magnetic resonance imaging.
    Eur Radiol. 2022 Mar 15. pii: 10.1007/s00330-022-08595.
    PubMed     Abstract available


  83. ZHENG H, Miao Q, Liu Y, Mirak SA, et al
    Multiparametric MRI-based radiomics model to predict pelvic lymph node invasion for patients with prostate cancer.
    Eur Radiol. 2022 Mar 3. pii: 10.1007/s00330-022-08625.
    PubMed     Abstract available


    February 2022
  84. PENZKOFER T, Padhani AR, Turkbey B, Ahmed HU, et al
    Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI.
    Eur Radiol. 2022 Feb 23. pii: 10.1007/s00330-022-08609.
    PubMed    


  85. DE ROOIJ M, Barentsz JO
    PI-QUAL v.1: the first step towards good-quality prostate MRI.
    Eur Radiol. 2022;32:876-878.
    PubMed     Abstract available


  86. GIGANTI F, Dinneen E, Kasivisvanathan V, Haider A, et al
    Inter-reader agreement of the PI-QUAL score for prostate MRI quality in the NeuroSAFE PROOF trial.
    Eur Radiol. 2022;32:879-889.
    PubMed     Abstract available


    January 2022
  87. BITTENCOURT LK, Guricova K, Zucker I, Durieux JC, et al
    Risk-based MRI-directed diagnostic pathway outperforms non-risk-based pathways in suspected prostate cancer biopsy-naive men: a large cohort validation study.
    Eur Radiol. 2022 Jan 14. pii: 10.1007/s00330-021-08407.
    PubMed     Abstract available


    December 2021
  88. MICHALLEK F, Huisman H, Hamm B, Elezkurtaj S, et al
    Prediction of prostate cancer grade using fractal analysis of perfusion MRI: retrospective proof-of-principle study.
    Eur Radiol. 2021 Dec 16. pii: 10.1007/s00330-021-08394.
    PubMed     Abstract available


    November 2021
  89. HOSSEINZADEH M, Saha A, Brand P, Slootweg I, et al
    Deep learning-assisted prostate cancer detection on bi-parametric MRI: minimum training data size requirements and effect of prior knowledge.
    Eur Radiol. 2021 Nov 16. pii: 10.1007/s00330-021-08320.
    PubMed     Abstract available


  90. BOSCHHEIDGEN M, Schimmoller L, Arsov C, Ziayee F, et al
    MRI grading for the prediction of prostate cancer aggressiveness.
    Eur Radiol. 2021 Nov 8. pii: 10.1007/s00330-021-08332.
    PubMed     Abstract available


    October 2021
  91. CUOCOLO R, Stanzione A, Faletti R, Gatti M, et al
    MRI index lesion radiomics and machine learning for detection of extraprostatic extension of disease: a multicenter study.
    Eur Radiol. 2021;31:7575-7583.
    PubMed     Abstract available


    September 2021
  92. HINZPETER R, Baumann L, Guggenberger R, Huellner M, et al
    Radiomics for detecting prostate cancer bone metastases invisible in CT: a proof-of-concept study.
    Eur Radiol. 2021 Sep 24. pii: 10.1007/s00330-021-08245.
    PubMed     Abstract available


  93. REISCHAUER C, Cancelli T, Malekzadeh S, Froehlich JM, et al
    How to improve image quality of DWI of the prostate-enema or catheter preparation?
    Eur Radiol. 2021;31:6708-6716.
    PubMed     Abstract available


    August 2021
  94. JENTJENS S, Mai C, Ahmadi Bidakhvidi N, De Coster L, et al
    Prospective comparison of simultaneous [(68)Ga]Ga-PSMA-11 PET/MR versus PET/CT in patients with biochemically recurrent prostate cancer.
    Eur Radiol. 2021 Aug 10. pii: 10.1007/s00330-021-08140.
    PubMed     Abstract available


    July 2021
  95. SUSHENTSEV N, Rundo L, Blyuss O, Nazarenko T, et al
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