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Articles published in Eur Radiol

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    July 2021
  1. SUSHENTSEV N, Rundo L, Blyuss O, Nazarenko T, et al
    Comparative performance of MRI-derived PRECISE scores and delta-radiomics models for the prediction of prostate cancer progression in patients on active surveillance.
    Eur Radiol. 2021 Jul 13. pii: 10.1007/s00330-021-08151.
    PubMed     Abstract available

  2. BURA V, Caglic I, Snoj Z, Sushentsev N, et al
    MRI features of the normal prostatic peripheral zone: the relationship between age and signal heterogeneity on T2WI, DWI, and DCE sequences.
    Eur Radiol. 2021;31:4908-4917.
    PubMed     Abstract available

    May 2021
  3. PENZKOFER T, Padhani AR, Turkbey B, Haider MA, et al
    ESUR/ESUI position paper: developing artificial intelligence for precision diagnosis of prostate cancer using magnetic resonance imaging.
    Eur Radiol. 2021 May 15. pii: 10.1007/s00330-021-08021.
    PubMed     Abstract available

    April 2021
  4. WALLSTROM J, Geterud K, Kohestani K, Maier SE, et al
    Bi- or multiparametric MRI in a sequential screening program for prostate cancer with PSA followed by MRI? Results from the Goteborg prostate cancer screening 2 trial.
    Eur Radiol. 2021 Apr 23. pii: 10.1007/s00330-021-07907.
    PubMed     Abstract available

  5. ALBERTS I, Hunermund JN, Sachpekidis C, Mingels C, et al
    The influence of digital PET/CT on diagnostic certainty and interrater reliability in [(68)Ga]Ga-PSMA-11 PET/CT for recurrent prostate cancer.
    Eur Radiol. 2021 Apr 15. pii: 10.1007/s00330-021-07870.
    PubMed     Abstract available

    March 2021
  6. LIM CS, Abreu-Gomez J, Flood TA, Carrion I, et al
    Prevalence of prostate cancer in PI-RADS version 2.1 T2-weighted transition zone 'nodule in nodule' and 'homogeneous mildly hypointense area between nodules' criteria: MRI-radical prostatectomy histopathological evaluation.
    Eur Radiol. 2021 Mar 29. pii: 10.1007/s00330-021-07855.
    PubMed     Abstract available

    January 2021
  7. ALONGI P, Stefano A, Comelli A, Laudicella R, et al
    Radiomics analysis of 18F-Choline PET/CT in the prediction of disease outcome in high-risk prostate cancer: an explorative study on machine learning feature classification in 94 patients.
    Eur Radiol. 2021 Jan 14. pii: 10.1007/s00330-020-07617.
    PubMed     Abstract available

    Editorial comment on "Natural history of prostate cancer on active surveillance: stratification by MRI using the PRECISE recommendations in a UK cohort".
    Eur Radiol. 2021 Jan 8. pii: 10.1007/s00330-020-07589.

  9. PARK MY, Park KJ, Kim MH, Kim JK, et al
    Preoperative MRI-based estimation of risk for positive resection margin after radical prostatectomy in patients with prostate cancer: development and validation of a simple scoring system.
    Eur Radiol. 2021 Jan 2. pii: 10.1007/s00330-020-07569.
    PubMed     Abstract available

  10. STEINBERG RL, Rasmussen RG, Johnson BA, Ghandour R, et al
    Prospective performance of clear cell likelihood scores (ccLS) in renal masses evaluated with multiparametric magnetic resonance imaging.
    Eur Radiol. 2021;31:314-324.
    PubMed     Abstract available

  11. SCHELB P, Wang X, Radtke JP, Wiesenfarth M, et al
    Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment.
    Eur Radiol. 2021;31:302-313.
    PubMed     Abstract available

    December 2020
  12. HUEBNER NA, Korn S, Resch I, Grubmuller B, et al
    Visibility of significant prostate cancer on multiparametric magnetic resonance imaging (MRI)-do we still need contrast media?
    Eur Radiol. 2020 Dec 2. pii: 10.1007/s00330-020-07494.
    PubMed     Abstract available

    November 2020
  13. PADHANI AR, Schoots IG, Turkbey B, Giannarini G, et al
    A multifaceted approach to quality in the MRI-directed biopsy pathway for prostate cancer diagnosis.
    Eur Radiol. 2020 Nov 25. pii: 10.1007/s00330-020-07527.
    PubMed     Abstract available

  14. DELLI PIZZI A, Mastrodicasa D, Marchioni M, Primiceri G, et al
    Bladder cancer: do we need contrast injection for MRI assessment of muscle invasion? A prospective multi-reader VI-RADS approach.
    Eur Radiol. 2020 Nov 19. pii: 10.1007/s00330-020-07473.
    PubMed     Abstract available

  15. CAGLIC I, Sushentsev N, Gnanapragasam VJ, Sala E, et al
    MRI-derived PRECISE scores for predicting pathologically-confirmed radiological progression in prostate cancer patients on active surveillance.
    Eur Radiol. 2020 Nov 16. pii: 10.1007/s00330-020-07336.
    PubMed     Abstract available

  16. OTTOSSON F, Baco E, Lauritzen PM, Rud E, et al
    The prevalence and locations of bone metastases using whole-body MRI in treatment-naive intermediate- and high-risk prostate cancer.
    Eur Radiol. 2020 Nov 3. pii: 10.1007/s00330-020-07363.
    PubMed     Abstract available

  17. KAN Y, Zhang Q, Hao J, Wang W, et al
    Clinico-radiological characteristic-based machine learning in reducing unnecessary prostate biopsies of PI-RADS 3 lesions with dual validation.
    Eur Radiol. 2020;30:6274-6284.
    PubMed     Abstract available

    September 2020
  18. GIGANTI F, Stabile A, Stavrinides V, Osinibi E, et al
    Natural history of prostate cancer on active surveillance: stratification by MRI using the PRECISE recommendations in a UK cohort.
    Eur Radiol. 2020 Sep 30. pii: 10.1007/s00330-020-07256.
    PubMed     Abstract available

  19. SHIRADKAR R, Panda A, Leo P, Janowczyk A, et al
    Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
    Eur Radiol. 2020 Sep 18. pii: 10.1007/s00330-020-07285.
    PubMed     Abstract available

  20. HU L, Zhou DW, Fu CX, Benkert T, et al
    Advanced zoomed diffusion-weighted imaging vs. full-field-of-view diffusion-weighted imaging in prostate cancer detection: a radiomic features study.
    Eur Radiol. 2020 Sep 16. pii: 10.1007/s00330-020-07227.
    PubMed     Abstract available

  21. KIM CH, Kim CK, Park JJ, Park SY, et al
    Yield of concurrent systemic biopsy during MRI-targeted biopsy according to Prostate Imaging Reporting and Data System version 2 in patients with suspected prostate cancer.
    Eur Radiol. 2020 Sep 10. pii: 10.1007/s00330-020-07167.
    PubMed     Abstract available

  22. SHIRADKAR R, Panda A, Leo P, Janowczyk A, et al
    T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
    Eur Radiol. 2020 Sep 2. pii: 10.1007/s00330-020-07214.
    PubMed     Abstract available

  23. CORNUD F, Lefevre A, Flam T, Dumonceau O, et al
    MRI-directed high-frequency (29MhZ) TRUS-guided biopsies: initial results of a single-center study.
    Eur Radiol. 2020;30:4838-4846.
    PubMed     Abstract available

    August 2020
  24. GUGLIANDOLO SG, Pepa M, Isaksson LJ, Marvaso G, et al
    MRI-based radiomics signature for localized prostate cancer: a new clinical tool for cancer aggressiveness prediction? Sub-study of prospective phase II trial on ultra-hypofractionated radiotherapy (AIRC IG-13218).
    Eur Radiol. 2020 Aug 27. pii: 10.1007/s00330-020-07105.
    PubMed     Abstract available

  25. SUN C, Wang S, Chatterjee A, Medved M, et al
    T2*-weighted MRI as a non-contrast-enhanced method for assessment of focal laser ablation zone extent in prostate cancer thermotherapy.
    Eur Radiol. 2020 Aug 12. pii: 10.1007/s00330-020-07127.
    PubMed     Abstract available

  26. ABREU-GOMEZ J, Walker D, Alotaibi T, McInnes MDF, et al
    Effect of observation size and apparent diffusion coefficient (ADC) value in PI-RADS v2.1 assessment category 4 and 5 observations compared to adverse pathological outcomes.
    Eur Radiol. 2020;30:4251-4261.
    PubMed     Abstract available

    July 2020
  27. HIREMATH A, Shiradkar R, Merisaari H, Prasanna P, et al
    Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.
    Eur Radiol. 2020 Jul 23. pii: 10.1007/s00330-020-07065.
    PubMed     Abstract available

  28. BERNATZ S, Ackermann J, Mandel P, Kaltenbach B, et al
    Comparison of machine learning algorithms to predict clinically significant prostate cancer of the peripheral zone with multiparametric MRI using clinical assessment categories and radiomic features.
    Eur Radiol. 2020 Jul 16. pii: 10.1007/s00330-020-07064.
    PubMed     Abstract available

  29. ZAWAIDEH JP, Sala E, Shaida N, Koo B, et al
    Diagnostic accuracy of biparametric versus multiparametric prostate MRI: assessment of contrast benefit in clinical practice.
    Eur Radiol. 2020;30:4039-4049.
    PubMed     Abstract available

    June 2020
  30. CUOCOLO R, Cipullo MB, Stanzione A, Romeo V, et al
    Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis.
    Eur Radiol. 2020 Jun 30. pii: 10.1007/s00330-020-07027.
    PubMed     Abstract available

  31. ARIF M, Schoots IG, Castillo Tovar J, Bangma CH, et al
    Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI.
    Eur Radiol. 2020 Jun 27. pii: 10.1007/s00330-020-07008.
    PubMed     Abstract available

  32. DENIFFEL D, Abraham N, Namdar K, Dong X, et al
    Using decision curve analysis to benchmark performance of a magnetic resonance imaging-based deep learning model for prostate cancer risk assessment.
    Eur Radiol. 2020 Jun 26. pii: 10.1007/s00330-020-07030.
    PubMed     Abstract available

  33. ULLRICH T, Arsov C, Quentin M, Mones F, et al
    Multiparametric magnetic resonance imaging can exclude prostate cancer progression in patients on active surveillance: a retrospective cohort study.
    Eur Radiol. 2020 Jun 26. pii: 10.1007/s00330-020-06997.
    PubMed     Abstract available

  34. SVIRYDENKA H, Muehlematter UJ, Nagel HW, Delso G, et al
    (68)Ga-PSMA-11 dose reduction for dedicated pelvic imaging with simultaneous PET/MR using TOF BSREM reconstructions.
    Eur Radiol. 2020;30:3188-3197.
    PubMed     Abstract available

  35. BREMBILLA G, Dell'Oglio P, Stabile A, Damascelli A, et al
    Interreader variability in prostate MRI reporting using Prostate Imaging Reporting and Data System version 2.1.
    Eur Radiol. 2020;30:3383-3392.
    PubMed     Abstract available

    May 2020
  36. DE ROOIJ M, Israel B, Tummers M, Ahmed HU, et al
    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. 2020 May 19. pii: 10.1007/s00330-020-06929.
    PubMed     Abstract available

    April 2020
  37. WINKEL DJ, Breit HC, Block TK, Boll DT, et al
    High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approach.
    Eur Radiol. 2020 Apr 23. pii: 10.1007/s00330-020-06849.
    PubMed     Abstract available

  38. LIECHTI MR, Muehlematter UJ, Schneider AF, Eberli D, et al
    Manual prostate cancer segmentation in MRI: interreader agreement and volumetric correlation with transperineal template core needle biopsy.
    Eur Radiol. 2020 Apr 19. pii: 10.1007/s00330-020-06786.
    PubMed     Abstract available

  39. ALVES JR, Muglia VF, Lucchesi FR, Faria RAOG, et al
    Independent external validation of nomogram to predict extracapsular extension in patients with prostate cancer.
    Eur Radiol. 2020 Apr 19. pii: 10.1007/s00330-020-06839.
    PubMed     Abstract available

  40. GIGANTI F, Pecoraro M, Stavrinides V, Stabile A, et al
    Interobserver reproducibility of the PRECISE scoring system for prostate MRI on active surveillance: results from a two-centre pilot study.
    Eur Radiol. 2020;30:2082-2090.
    PubMed     Abstract available

    March 2020
  41. RUDOLPH MM, Baur ADJ, Haas M, Cash H, et al
    Validation of the PI-RADS language: predictive values of PI-RADS lexicon descriptors for detection of prostate cancer.
    Eur Radiol. 2020 Mar 26. pii: 10.1007/s00330-020-06773.
    PubMed     Abstract available

    February 2020
  42. LECOUVET FE, Pasoglou V, Van Nieuwenhove S, Van Haver T, et al
    Shortening the acquisition time of whole-body MRI: 3D T1 gradient echo Dixon vs fast spin echo for metastatic screening in prostate cancer.
    Eur Radiol. 2020 Feb 17. pii: 10.1007/s00330-019-06515.
    PubMed     Abstract available

  43. ZHANG Y, Wells SA, Triche BL, Kelcz F, et al
    Stimulated-echo diffusion-weighted imaging with moderate b values for the detection of prostate cancer.
    Eur Radiol. 2020 Feb 16. pii: 10.1007/s00330-020-06689.
    PubMed     Abstract available

    December 2019
  44. FISCHBACH F, Hass P, Schindele D, Genseke P, et al
    MRI targeted single fraction HDR Brachytherapy for localized Prostate Carcinoma: a feasibility study of focal radiation therapy (ProFocAL).
    Eur Radiol. 2019 Dec 11. pii: 10.1007/s00330-019-06505.
    PubMed     Abstract available

  45. QUENTIN M, Arsov C, Ullrich T, Valentin B, et al
    Comparison of analgesic techniques in MRI-guided in-bore prostate biopsy.
    Eur Radiol. 2019;29:6965-6970.
    PubMed     Abstract available

    November 2019
  46. BLEKER J, Kwee TC, Dierckx RAJO, de Jong IJ, et al
    Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer.
    Eur Radiol. 2019 Nov 27. pii: 10.1007/s00330-019-06488.
    PubMed     Abstract available

    October 2019
  47. WILDEBOER RR, Mannaerts CK, van Sloun RJG, Budaus L, et al
    Automated multiparametric localization of prostate cancer based on B-mode, shear-wave elastography, and contrast-enhanced ultrasound radiomics.
    Eur Radiol. 2019 Oct 10. pii: 10.1007/s00330-019-06436.
    PubMed     Abstract available

    September 2019
  48. ANTONELLI M, Johnston EW, Dikaios N, Cheung KK, et al
    Correction to: Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.
    Eur Radiol. 2019 Sep 10. pii: 10.1007/s00330-019-06429.
    PubMed     Abstract available

    August 2019
  49. ALDOJ N, Lukas S, Dewey M, Penzkofer T, et al
    Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network.
    Eur Radiol. 2019 Aug 29. pii: 10.1007/s00330-019-06417.
    PubMed     Abstract available

  50. AHN H, Hwang SI, Lee HJ, Suh HS, et al
    Prediction of extraprostatic extension on multi-parametric magnetic resonance imaging in patients with anterior prostate cancer.
    Eur Radiol. 2019 Aug 5. pii: 10.1007/s00330-019-06340.
    PubMed     Abstract available

    July 2019
  51. DOMACHEVSKY L, Bernstine H, Goldberg N, Nidam M, et al
    Comparison between pelvic PSMA-PET/MR and whole-body PSMA-PET/CT for the initial evaluation of prostate cancer: a proof of concept study.
    Eur Radiol. 2019 Jul 22. pii: 10.1007/s00330-019-06353.
    PubMed     Abstract available

    June 2019
  52. ANTONELLI M, Johnston EW, Dikaios N, Cheung KK, et al
    Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists.
    Eur Radiol. 2019 Jun 11. pii: 10.1007/s00330-019-06244.
    PubMed     Abstract available

  53. RICHENBERG J, Logager V, Panebianco V, Rouviere O, et al
    The primacy of multiparametric MRI in men with suspected prostate cancer.
    Eur Radiol. 2019 Jun 6. pii: 10.1007/s00330-019-06166.
    PubMed     Abstract available

    May 2019
  54. XIANG LH, Fang Y, Wan J, Xu G, et al
    Shear-wave elastography: role in clinically significant prostate cancer with false-negative magnetic resonance imaging.
    Eur Radiol. 2019 May 29. pii: 10.1007/s00330-019-06274.
    PubMed     Abstract available

    April 2019
  55. BONEKAMP D, Schelb P, Wiesenfarth M, Kuder TA, et al
    Histopathological to multiparametric MRI spatial mapping of extended systematic sextant and MR/TRUS-fusion-targeted biopsy of the prostate.
    Eur Radiol. 2019;29:1820-1830.
    PubMed     Abstract available

    March 2019
  56. ALESSI S, Pricolo P, Summers P, Femia M, et al
    Low PI-RADS assessment category excludes extraprostatic extension (>/=pT3a) of prostate cancer: a histology-validated study including 301 operated patients.
    Eur Radiol. 2019 Mar 18. pii: 10.1007/s00330-019-06092.
    PubMed     Abstract available

  57. JENDOUBI S, Wagner M, Montagne S, Ezziane M, et al
    MRI for prostate cancer: can computed high b-value DWI replace native acquisitions?
    Eur Radiol. 2019 Mar 18. pii: 10.1007/s00330-019-06085.
    PubMed     Abstract available

  58. CAGLIC I, Povalej Brzan P, Warren AY, Bratt O, et al
    Defining the incremental value of 3D T2-weighted imaging in the assessment of prostate cancer extracapsular extension.
    Eur Radiol. 2019 Mar 18. pii: 10.1007/s00330-019-06070.
    PubMed     Abstract available

  59. PURYSKO AS, Magi-Galluzzi C, Mian OY, Sittenfeld S, et al
    Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings.
    Eur Radiol. 2019 Mar 7. pii: 10.1007/s00330-019-06114.
    PubMed     Abstract available

    January 2019
  60. BONEKAMP D, Wolf MB, Roethke MC, Pahernik S, et al
    Twelve-month prostate volume reduction after MRI-guided transurethral ultrasound ablation of the prostate.
    Eur Radiol. 2019;29:299-308.
    PubMed     Abstract available

    December 2018
  61. JOHNSTON EW, Latifoltojar A, Sidhu HS, Ramachandran N, et al
    Multiparametric whole-body 3.0-T MRI in newly diagnosed intermediate- and high-risk prostate cancer: diagnostic accuracy and interobserver agreement for nodal and metastatic staging.
    Eur Radiol. 2018 Dec 5. pii: 10.1007/s00330-018-5813.
    PubMed     Abstract available

  62. DOMACHEVSKY L, Goldberg N, Bernstine H, Nidam M, et al
    Quantitative characterisation of clinically significant intra-prostatic cancer by prostate-specific membrane antigen (PSMA) expression and cell density on PSMA-11.
    Eur Radiol. 2018;28:5275-5283.
    PubMed     Abstract available

    November 2018
  63. DIKAIOS N, Giganti F, Sidhu HS, Johnston EW, et al
    Multi-parametric MRI zone-specific diagnostic model performance compared with experienced radiologists for detection of prostate cancer.
    Eur Radiol. 2018 Nov 19. pii: 10.1007/s00330-018-5799.
    PubMed     Abstract available

  64. DINIS FERNANDES C, Ghobadi G, van der Poel HG, de Jong J, et al
    Quantitative 3-T multi-parametric MRI and step-section pathology of recurrent prostate cancer patients after radiation therapy.
    Eur Radiol. 2018 Nov 12. pii: 10.1007/s00330-018-5819.
    PubMed     Abstract available

  65. LARBI A, Omoumi P, Pasoglou V, Michoux N, et al
    Whole-body MRI to assess bone involvement in prostate cancer and multiple myeloma: comparison of the diagnostic accuracies of the T1, short tau inversion recovery (STIR), and high b-values diffusion-weighted imaging (DWI) sequences.
    Eur Radiol. 2018 Nov 9. pii: 10.1007/s00330-018-5796.
    PubMed     Abstract available

  66. OVERDUIN CG, Heidkamp J, Rothgang E, Barentsz JO, et al
    Fast 3-T MR-guided transrectal prostate biopsy using an in-room tablet device for needle guide alignment: a feasibility study.
    Eur Radiol. 2018;28:4824-4831.
    PubMed     Abstract available

    October 2018
  67. GREER MD, Lay N, Shih JH, Barrett T, et al
    Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study.
    Eur Radiol. 2018;28:4407-4417.
    PubMed     Abstract available

    August 2018
  68. DYRBERG E, Hendel HW, Huynh THV, Klausen TW, et al
    (68)Ga-PSMA-PET/CT in comparison with (18)F-fluoride-PET/CT and whole-body MRI for the detection of bone metastases in patients with prostate cancer: a prospective diagnostic accuracy study.
    Eur Radiol. 2018 Aug 21. pii: 10.1007/s00330-018-5682.
    PubMed     Abstract available

  69. KRISHNA S, Schieda N, McInnes MD, Flood TA, et al
    Diagnosis of transition zone prostate cancer using T2-weighted (T2W) MRI: comparison of subjective features and quantitative shape analysis.
    Eur Radiol. 2018 Aug 13. pii: 10.1007/s00330-018-5664.
    PubMed     Abstract available

    June 2018
  70. FISCHBACH F, Wien L, Krueger S, Schnackenburg B, et al
    Feasibility study of MR-guided transgluteal targeted in-bore biopsy for suspicious lesions of the prostate at 3 Tesla using a freehand approach.
    Eur Radiol. 2018;28:2690-2699.
    PubMed     Abstract available

    May 2018
  71. PIERRE T, Cornud F, Colleter L, Beuvon F, et al
    Diffusion-weighted imaging of the prostate: should we use quantitative metrics to better characterize focal lesions originating in the peripheral zone?
    Eur Radiol. 2018;28:2236-2245.
    PubMed     Abstract available

    April 2018
  72. GHAI S, Perlis N, Lindner U, Hlasny E, et al
    Magnetic resonance guided focused high frequency ultrasound ablation for focal therapy in prostate cancer - phase 1 trial.
    Eur Radiol. 2018 Apr 25. pii: 10.1007/s00330-018-5409.
    PubMed     Abstract available

  73. LOTTE R, Lafourcade A, Mozer P, Conort P, et al
    Multiparametric MRI for Suspected Recurrent Prostate Cancer after HIFU:Is DCE still needed?
    Eur Radiol. 2018 Apr 9. pii: 10.1007/s00330-018-5352.
    PubMed     Abstract available

  74. WINFIELD JM, Poillucci G, Blackledge MD, Collins DJ, et al
    Apparent diffusion coefficient of vertebral haemangiomas allows differentiation from malignant focal deposits in whole-body diffusion-weighted MRI.
    Eur Radiol. 2018;28:1687-1691.
    PubMed     Abstract available

  75. POLANEC SH, Lazar M, Wengert GJ, Bickel H, et al
    3D T2-weighted imaging to shorten multiparametric prostate MRI protocols.
    Eur Radiol. 2018;28:1634-1641.
    PubMed     Abstract available

    March 2018
  76. SHIN T, Kaji Y, Shukuya T, Nozaki M, et al
    Significant changes of T2 value in the peripheral zone and seminal vesicles after ejaculation.
    Eur Radiol. 2018;28:1009-1015.
    PubMed     Abstract available

    January 2018
  77. SELNAES KM, Kruger-Stokke B, Elschot M, Willoch F, et al
    (18)F-Fluciclovine PET/MRI for preoperative lymph node staging in high-risk prostate cancer patients.
    Eur Radiol. 2018 Jan 2. pii: 10.1007/s00330-017-5213.
    PubMed     Abstract available

  78. MEIER-SCHROERS M, Marx C, Schmeel FC, Wolter K, et al
    Revised PROPELLER for T2-weighted imaging of the prostate at 3 Tesla: impact on lesion detection and PI-RADS classification.
    Eur Radiol. 2018;28:24-30.
    PubMed     Abstract available

  79. ULLRICH T, Quentin M, Schmaltz AK, Arsov C, et al
    Hyoscine butylbromide significantly decreases motion artefacts and allows better delineation of anatomic structures in mp-MRI of the prostate.
    Eur Radiol. 2018;28:17-23.
    PubMed     Abstract available

  80. MARIOTTI GC, Falsarella PM, Garcia RG, Queiroz MRG, et al
    Incremental diagnostic value of targeted biopsy using mpMRI-TRUS fusion versus 14-fragments prostatic biopsy: a prospective controlled study.
    Eur Radiol. 2018;28:11-16.
    PubMed     Abstract available

    December 2017
  81. BREMBILLA G, Dell'Oglio P, Stabile A, Ambrosi A, et al
    Preoperative multiparametric MRI of the prostate for the prediction of lymph node metastases in prostate cancer patients treated with extended pelvic lymph node dissection.
    Eur Radiol. 2017 Dec 21. pii: 10.1007/s00330-017-5229.
    PubMed     Abstract available

  82. BAUR ADJ, Schwabe J, Rogasch J, Maxeiner A, et al
    A direct comparison of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging for prostate cancer detection and prediction of aggressiveness.
    Eur Radiol. 2017 Dec 13. pii: 10.1007/s00330-017-5192.
    PubMed     Abstract available

  83. BARRETT T, McLean M, Priest AN, Lawrence EM, et al
    Diagnostic evaluation of magnetization transfer and diffusion kurtosis imaging for prostate cancer detection in a re-biopsy population.
    Eur Radiol. 2017 Dec 8. pii: 10.1007/s00330-017-5169.
    PubMed     Abstract available

    October 2017
  84. REISAETER LAR, Futterer JJ, Losnegard A, Nygard Y, et al
    Optimising preoperative risk stratification tools for prostate cancer using mpMRI.
    Eur Radiol. 2017 Oct 6. doi: 10.1007/s00330-017-5031.
    PubMed     Abstract available

    September 2017
  85. IYAMA Y, Nakaura T, Katahira K, Iyama A, et al
    Development and validation of a logistic regression model to distinguish transition zone cancers from benign prostatic hyperplasia on multi-parametric prostate MRI.
    Eur Radiol. 2017;27:3600-3608.
    PubMed     Abstract available

    August 2017
  86. HAUSMANN D, Aksoz N, von Hardenberg J, Martini T, et al
    Prostate cancer detection among readers with different degree of experience using ultra-high b-value diffusion-weighted Imaging: Is a non-contrast protocol sufficient to detect significant cancer?
    Eur Radiol. 2017 Aug 10. doi: 10.1007/s00330-017-5004.
    PubMed     Abstract available

  87. JANSSEN JC, Meissner S, Woythal N, Prasad V, et al
    Comparison of hybrid 68Ga-PSMA-PET/CT and 99mTc-DPD-SPECT/CT for the detection of bone metastases in prostate cancer patients: Additional value of morphologic information from low dose CT.
    Eur Radiol. 2017 Aug 4. doi: 10.1007/s00330-017-4994.
    PubMed     Abstract available

  88. MUELLER-LISSE UG, Murer S, Mueller-Lisse UL, Kuhn M, et al
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