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Prostate Cancer

Free Subscription Articles published in Eur Radiol Retrieve available abstracts of 64 articles: HTML format

Single Articles

October 2025
1. 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
2. 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
   
   
   
3. 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
4. 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
   
   
   
5. 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    
   
   
   
6. 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    
   
   
   
7. 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
8. 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    
   
   
   
9. 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    
   
   
   
10. 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
11. 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
    
    
    
12. 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
13. 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
    
    
    
14. 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
    
    
    
15. 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
    
    
    
16. 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
    
    
    
17. 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
    
    
    
18. 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
19. 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    
    
    
    
20. 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
    
    
    
21. 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
22. 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
    
    
    
23. 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
24. 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    
    
    
    
25. 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
26. 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
    
    
    
27. 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
    
    
    
28. 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    
    
    
    
29. 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    
    
    
    
30. 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
    
    
    
31. 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
32. 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
    
    
    
33. 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
    
    
    
34. 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
    
    
    
35. 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
36. 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
    
    
    
37. 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
38. 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
39. 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
    
    
    
40. 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
41. 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
    
    
    
42. 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
    
    
    
43. 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
    
    
    
44. 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
45. 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    
    
    
    
46. 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
    
    
    
47. 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
48. 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
    
    
    
49. BREMBILLA G, Giganti F
    Improving image quality in prostate MRI: the time is now.
    Eur Radiol. 2024;34:3385-3386.
    PubMed    
    
    
    
50. 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
51. 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    
    
    
    
52. 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
    
    
    
53. 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
54. 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
55. 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
56. 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
    
    
    
57. 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
58. 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    
    
    
    
59. 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
    
    
    
60. 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
    
    
    
61. ROUVIERE O
    Contrast-medium administration for prostate MRI can be abandoned: no(t so simple)!
    Eur Radiol. 2023;33:8415-8416.
    PubMed    
    
    
    
62. ASBACH P
    Contrast-medium administration for prostate MRI: yes! Contrast-medium administration can be abandoned.
    Eur Radiol. 2023;33:8413-8414.
    PubMed    
    
    
    November 2023
63. 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
    
    
    
64. 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
    
    

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