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Articles published in
Eur Radiol
    November 2026
  1. ALVAREZ-BENITO M
    NacBI-RADS and prediction of response to neoadjuvant systemic therapy in breast cancer: challenges and future prospects.
    Eur Radiol. 2026 Nov 10. doi: 10.1007/s00330-026-12995.
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  2. CICCIARELLI F, Rizzo V, Buccilli D, De Nardo C, et al
    Multiparametric MRI to predict response to neoadjuvant chemotherapy in breast cancer: Are we ready for NacBI-RADS?
    Eur Radiol. 2026 Nov 10. doi: 10.1007/s00330-026-12805.
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  3. VARGAS IV, Mayerhoefer ME, Gemignani ML, Zhi I, et al
    Impact of [(18)F]fluoroestradiol PET/CT on clinical management in patients with estrogen receptor-positive breast cancer: a systematic review and meta-analysis.
    Eur Radiol. 2026 Nov 7. doi: 10.1007/s00330-026-13051.
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  4. KIM HJ, Choi WJ, Yoon GY, Eom HJ, et al
    Preoperative breast MRI and long-term survival in ductal carcinoma in situ: a propensity score-weighted analysis.
    Eur Radiol. 2026;36:8394-8406.
    >> Share

  5. PETERS J, van der Waal D, van Gils CH, Broeders MJM, et al
    Comparison of three algorithms to measure breast density on mammograms in a population-based screening cohort.
    Eur Radiol. 2026;36:8347-8358.
    >> Share

    October 2026
  6. AMIR T, Lee CH, Hogan MP, Eskreis-Winkler S, et al
    Clinical significance of lesion conspicuity on contrast-enhanced mammography.
    Eur Radiol. 2026;36:7864-7873.
    >> Share

  7. DWAN D, Lamb LR, Haver HL, Giess CS, et al
    Diagnostic accuracy of an artificial intelligence-based breast ultrasound tool in pregnant and lactating patients.
    Eur Radiol. 2026;36:7855-7863.
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  8. PESAPANE F, Latronico A, Abbate F, Penco S, et al
    Evaluating cognitive biases in AI-assisted mammography interpretation: a simulation reader study of explainable AI across radiologist experience levels.
    Eur Radiol. 2026;36:7639-7650.
    >> Share

  9. SOLIMAN BK, Refaat R, Khater HM, Basha MAA, et al
    Multiparametric MRI for non-mass enhancement breast lesions: a prospective diagnostic accuracy study.
    Eur Radiol. 2026;36:7828-7841.
    >> Share

    September 2026
  10. RODRIGUEZ DE TRUJILLO CAMPO-CO, Romero Martin S, Rodriguez Alonso B, Font Ugalde P, et al
    Reply to the Letter to the Editor: Predictive factors of axillary pathological complete response in HER2-positive breast cancer patients treated with neoadjuvant chemotherapy.
    Eur Radiol. 2026 Sep 28. doi: 10.1007/s00330-026-12929.
    >> Share

  11. WANG W, Fan S
    Letter to the Editor: From detecting axillary metastasis to guiding clinically actionable axillary management in breast cancer.
    Eur Radiol. 2026 Sep 22. doi: 10.1007/s00330-026-12891.
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  12. HAN L, Dong Y
    Reply to the Letter to the Editor: From detecting axillary metastasis to guiding clinically actionable axillary management in breast cancer.
    Eur Radiol. 2026 Sep 22. doi: 10.1007/s00330-026-12892.
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  13. WANG G, Shi D, Guo Q, Wang R, et al
    Enhanced recurrence risk stratification for stages ?-? breast cancer using MRI-based structure habitat imaging.
    Eur Radiol. 2026 Sep 19. doi: 10.1007/s00330-026-12886.
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  14. ALTUNDAG K
    Letter to the Editor: Clinical implications of automated breast ultrasound in preoperative breast cancer staging.
    Eur Radiol. 2026 Sep 8. doi: 10.1007/s00330-026-12853.
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  15. CHOI JS, Ko EY
    Reply to the Letter to the Editor: Clinical implications of automated breast ultrasound in preoperative breast cancer staging.
    Eur Radiol. 2026 Sep 8. doi: 10.1007/s00330-026-12852.
    >> Share

  16. KILBURN-TOPPIN F, Rothwell J, Payne NR, Huang Y, et al
    A comparison of tumour characteristics of screen-detected and interval cancers and their relationship with breast density and AJCC prognostic stage in a UK screening cohort.
    Eur Radiol. 2026;36:7221-7230.
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    August 2026
  17. SAYGILI OZ D
    Letter to the Editor: Axillary radiological complete response in HER2-positive breast cancer: toward validated decision support.
    Eur Radiol. 2026 Aug 14. doi: 10.1007/s00330-026-12815.
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  18. LARSEN M, Moshina N, Mikalsen KO, Hoff SR, et al
    Mammographic density assessment by an artificial intelligence model for breast cancer detection in BreastScreen Norway.
    Eur Radiol. 2026 Aug 13. doi: 10.1007/s00330-026-12786.
    >> Share

  19. ZHANG Z, Elabeid J, Ali T, Pantleo J, et al
    From pixels to pathology: how artificial intelligence mammographic risk scores capture tumor biology through imaging.
    Eur Radiol. 2026;36:6730-6740.
    >> Share

  20. SANTONOCITO A, Bechyna S, Clauser P, Helbich TH, et al
    Impact of background parenchymal enhancement on the diagnosis of enhancing lesions in breast MRI: a systematic approach.
    Eur Radiol. 2026;36:6669-6678.
    >> Share

  21. KIM HJ, Chae EY, Eom HJ, Choi WJ, et al
    Long-term prognostic implications of AI-detected versus AI-undetected breast cancers on mammography: a propensity score-matched analysis.
    Eur Radiol. 2026;36:6682-6696.
    >> Share

    July 2026
  22. ZHANG T, Rasoolzadeh N, Mann RM
    Can multimodal AI bridge imaging and prognosis in breast cancer?
    Eur Radiol. 2026;36:5592-5594.
    >> Share

  23. PESAPANE F, Depretto C, Rotili A, Penco S, et al
    Should AI results be disclosed in mammography reports? A randomised survey study of patient responses to concordant and discordant interpretations.
    Eur Radiol. 2026;36:5645-5655.
    >> Share

  24. MARZIALI S, Corradini L, Depretto C, Della Pepa G, et al
    Assessing breast MRI image quality: the bMRI-QUAL scoring system.
    Eur Radiol. 2026;36:5669-5677.
    >> Share

  25. ONAR MA, Jabbarli E, Polat AV, Demirag G, et al
    Breast edema score as a biomarker of tumor aggressiveness and its predictive value for neoadjuvant chemotherapy response.
    Eur Radiol. 2026;36:5658-5668.
    >> Share

  26. LORENZON M, Minichetti P, Casotto L, Cereser L, et al
    Contrast-enhanced mammography versus breast MRI in the preoperative evaluation of the nipple-areola complex: data from a real-world setting.
    Eur Radiol. 2026;36:5630-5644.
    >> Share

  27. ROSSINI G, Lockey K, Rokoszak M, Pasculli M, et al
    Energy consumption of standard and contrast-enhanced mammography: a step towards sustainable breast imaging.
    Eur Radiol. 2026;36:5607-5615.
    >> Share

    June 2026
  28. BUYUKCERAN EU
    Letter to the Editor: Breast cancer risk prediction with artificial intelligence-statistical improvement versus clinical impact.
    Eur Radiol. 2026 Jun 19. doi: 10.1007/s00330-026-12694.
    >> Share

  29. KIANI I, Pourakbar N, Azizpour AM, Mousavi T, et al
    Assessing the performance of deep learning and hand-crafted radiomics models using MRI and ultrasound in predicting axillary lymph node status in breast cancer: a systematic review and meta-analysis.
    Eur Radiol. 2026 Jun 19. doi: 10.1007/s00330-026-12682.
    >> Share

  30. TENDERO R, Larroza A, Perez-Benito FJ, Perez-Cortes JC, et al
    Reply to the Letter to the Editor: Breast cancer risk prediction with artificial intelligence-statistical improvement versus clinical impact.
    Eur Radiol. 2026 Jun 19. doi: 10.1007/s00330-026-12695.
    >> Share

  31. MARTINIUSSEN MA, Bergan MB, Kristiansen MU, Hoff SR, et al
    Location of AI risk markers and associated mammographic features in screening mammograms obtained years before screen-detected breast cancer.
    Eur Radiol. 2026 Jun 18. doi: 10.1007/s00330-026-12689.
    >> Share

  32. CAMPS-HERRERO J, Gullo RL, Athanasiou A, Fuchsjaeger M, et al
    European consensus on pre-operative imaging in breast cancer developed jointly by EUSOBI, ESSO, ESP and ESTRO.
    Eur Radiol. 2026 Jun 16. doi: 10.1007/s00330-026-12558.
    >> Share

  33. CHOI JS, Choi N, Chung J, Baek SY, et al
    Comparison of automated breast ultrasound and hand-held breast ultrasound in preoperative evaluation of early-stage breast cancer: a multicenter prospective study.
    Eur Radiol. 2026 Jun 10. doi: 10.1007/s00330-026-12678.
    >> Share

  34. HAN L, Jia N, Wang H, Zhang W, et al
    Combining Node-RADS with ADC can improve diagnostic performance for lymph node metastasis in breast cancer.
    Eur Radiol. 2026 Jun 3. doi: 10.1007/s00330-026-12649.
    >> Share

  35. SINGH S, Crean R, O'Driscoll J, Cahir C, et al
    Patient perceptions and attitudes towards the use of artificial intelligence in the symptomatic breast unit.
    Eur Radiol. 2026;36:4467-4477.
    >> Share

  36. SHARMA N, Theis S, Vogelmann T, Pijnappel R, et al
    Vacuum-assisted breast biopsy vs core needle biopsy: a systematic review and meta-analysis.
    Eur Radiol. 2026;36:4449-4466.
    >> Share

  37. VATTERONI G, Pirringer-Potsch N, Clauser P, Baltzer PAT, et al
    Potential role of breast MRI to identify patients with high-risk lesions who might avoid surgery: a systematic review and meta-analysis.
    Eur Radiol. 2026;36:4434-4444.
    >> Share

  38. LARSEN M, Lee CI, Bergan MB, Holen AS, et al
    Performance across different versions of an artificial intelligence model for screen-reading of mammograms.
    Eur Radiol. 2026;36:4422-4433.
    >> Share

  39. DAMIAO SQ, de Melo LB, Carneiro MW, Felipe VC, et al
    Diagnostic performance of MRI in predicting pathological response in patients with triple-negative breast carcinomas undergoing neoadjuvant chemotherapy and immunotherapy.
    Eur Radiol. 2026;36:4403-4413.
    >> Share

  40. HOVDA T, Holen AS, Hofvind S
    How much radiologist time can be saved by implementing AI in screen-reading mammograms?
    Eur Radiol. 2026;36:4414-4421.
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  41. LEE SE, Lee HS, Park VY, Kim MJ, et al
    AI-CAD for diagnostic mammography: comparison to radiologists according to different indications.
    Eur Radiol. 2026;36:4390-4399.
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    May 2026
  42. BELLINI C, Bicchierai G, Maiello C, Amato F, et al
    Early, delayed, or combined contrast-enhanced mammography for detecting residual disease after neoadjuvant chemotherapy in breast cancer.
    Eur Radiol. 2026 May 15. doi: 10.1007/s00330-026-12633.
    >> Share

  43. YU W, Chen P, Chai S, Ding W, et al
    Deep learning model for noninvasive prediction of Ki-67 expression and prognostic stratification in breast cancer: a multicenter retrospective study.
    Eur Radiol. 2026 May 7. doi: 10.1007/s00330-025-12203.
    >> Share

  44. MARTINIUSSEN MA, Bergan MB, Kristiansen MU, Moshina N, et al
    High risk score of breast cancer by artificial intelligence (AI) on screening mammograms: a review of negative and cancer cases.
    Eur Radiol. 2026 May 6. doi: 10.1007/s00330-026-12579.
    >> Share

  45. WOO E, Lee JY, Seo BK, Bae MS, et al
    Diagnostic performance of shear-wave dispersion imaging and shear-wave elastography for differentiating benign and malignant breast masses.
    Eur Radiol. 2026;36:3378-3391.
    >> Share

  46. NEETER LMFH, Lobbes MBI, Duvivier KM, Raat HPJF, et al
    Cost-effectiveness of contrast-enhanced mammography compared to conventional imaging in the work-up after screening (RACER trial).
    Eur Radiol. 2026;36:3396-3405.
    >> Share

  47. APPELMAN L, Gil Quessep E, Veenendaal L, Siebers C, et al
    Contribution of mammographic imaging after initial ultrasound in women with focal breast complaints-systematic review.
    Eur Radiol. 2026;36:3346-3357.
    >> Share

  48. HADIDCHI R, Agrawal A, Liu MZ, Maldijan T, et al
    A deep learning framework to stratify Nottingham histologic grade 2 breast tumors based on dynamic contrast-enhanced MRI.
    Eur Radiol. 2026;36:3335-3345.
    >> Share

  49. SHENG W, Wang Y, Xiao L, Guo B, et al
    BI-RADS-compliant structured mammography reporting using locally deployed large language models under privacy constraints.
    Eur Radiol. 2026;36:3676-3686.
    >> Share

    April 2026
  50. MAO K, Li Z, Li J, Xie Y, et al
    Mammography-based artificial intelligence model for predicting axillary lymph node status after neoadjuvant therapy in breast cancer.
    Eur Radiol. 2026 Apr 18. doi: 10.1007/s00330-026-12526.
    >> Share

  51. XIE H, Wang X, Guo W, Wu Y, et al
    Prediction model to prevent axillary surgery using axillary US and MRI in early breast cancer.
    Eur Radiol. 2026 Apr 2. doi: 10.1007/s00330-026-12494.
    >> Share

  52. VAN AMSTEL FJG, van Mierlo RGM, Nelemans PJ, Engelen SME, et al
    Publisher Correction: Primary tumour response on breast MRI as a predictor of axillary pathologic response in breast cancer patients treated with neoadjuvant chemotherapy.
    Eur Radiol. 2026 Apr 2. doi: 10.1007/s00330-026-12508.
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    March 2026
  53. WOO E, Lee JY, Seo BK
    Reply to the Letter to the Editor: Shear-wave dispersion imaging in breast cancer: methodological considerations and future perspectives.
    Eur Radiol. 2026 Mar 16. doi: 10.1007/s00330-026-12471.
    >> Share

  54. OZTURK M, Gurun E
    Letter to the Editor: Shear-wave dispersion imaging in breast cancer: methodological considerations and future perspectives.
    Eur Radiol. 2026 Mar 16. doi: 10.1007/s00330-026-12470.
    >> Share

  55. VAN DER WAAL D, Abbey CK, Tetteroo E, Geertse TD, et al
    Finding the optimal recall rate in breast cancer screening: results from the ROCS study.
    Eur Radiol. 2026 Mar 5. doi: 10.1007/s00330-026-12370.
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  56. GEERTSE TD, Tetteroo E, Smid-Geirnaerdt MJA, Duijm LEM, et al
    Applying the "positive predictive value-recall diagram" to monitor performance and provide recommendations for screening radiologists.
    Eur Radiol. 2026;36:1919-1931.
    >> Share

  57. SCHIAFFINO S, Bernardi D, Healy N, Marino MA, et al
    ESR Essentials: artificial intelligence in breast imaging-practice recommendations by the European Society of Breast Imaging.
    Eur Radiol. 2026;36:1909-1918.
    >> Share

    February 2026
  58. EOM HJ, Kim HH, Kim SH, Gwon HY, et al
    Implant-displacement views alone for breast cancer screening in women with implants: a multicenter retrospective study.
    Eur Radiol. 2026 Feb 20. doi: 10.1007/s00330-026-12374.
    >> Share

  59. LEHNEN T, Polenske D, Wichtmann BD, Lehnen NC, et al
    AI software as a third reader in breast cancer screening-a prospective diagnostic observational study.
    Eur Radiol. 2026 Feb 5. doi: 10.1007/s00330-026-12359.
    >> Share

  60. LIU Y, Wu J, Zhang W, Wang T, et al
    Preoperative contrast-enhanced ultrasound combined with intra-lymph node methylene blue injection for sentinel lymph node identification: a minimally invasive sentinel lymph node biopsy tracing approach.
    Eur Radiol. 2026;36:863-873.
    >> Share

  61. KIM HJ, Kim HH, Eom HJ, Choi WJ, et al
    Combined use of two artificial intelligence-based algorithms for mammography triaging: a retrospective simulation study.
    Eur Radiol. 2026;36:808-820.
    >> Share

  62. JANSE MHA, Janssen LM, Wolters-van der Ben EJM, Moman MR, et al
    Deep learning-based radiomics does not improve residual cancer burden prediction post-chemotherapy in LIMA breast MRI trial.
    Eur Radiol. 2026;36:850-862.
    >> Share

    January 2026
  63. LYTH J, Gialias P, Husberg M, Bernfort L, et al
    Results from a Swedish model-based analysis of the cost-effectiveness of AI-assisted digital mammography.
    Eur Radiol. 2026;36:754-764.
    >> Share

  64. ANDERMAN KJ, Daly AE, Newman AM, Dang PA, et al
    Placement of radiofrequency identification tags: Is there an optimal tag-to-target distance?
    Eur Radiol. 2026;36:64-72.
    >> Share

  65. SEXAUER R, Riehle F, Borkowski K, Ruppert C, et al
    Enhancing breast positioning quality through real-time AI feedback.
    Eur Radiol. 2026;36:55-63.
    >> Share

  66. LIU G, Yang N, Qu Y, Chen G, et al
    Developing ultrasound-based machine learning models for accurate differentiation between sclerosing adenosis and invasive ductal carcinoma.
    Eur Radiol. 2026;36:33-44.
    >> Share

    December 2025
  67. RODRIGUEZ DE TRUJILLO CAMPO-CO, Romero-Martin S, Rodriguez-Alonso B, Font-Ugalde P, et al
    Predictive factors of axillary pathological complete response in HER2-positive breast cancer patients treated with neoadjuvant chemotherapy.
    Eur Radiol. 2025 Dec 24. doi: 10.1007/s00330-025-12241.
    >> Share

  68. VAN AMSTEL FJG, van Mierlo RGM, Nelemans PJ, Engelen SME, et al
    Primary tumour response on breast MRI as a predictor of axillary pathologic response in breast cancer patients treated with neoadjuvant chemotherapy.
    Eur Radiol. 2025 Dec 23. doi: 10.1007/s00330-025-12249.
    >> Share

  69. AYDEMIR DG, Molwitz I, Beitzen-Heineke A, Chen H, et al
    Right ventricular and biatrial CMR strain analysis detects myocardial functional impairment after breast cancer therapy.
    Eur Radiol. 2025 Dec 19. doi: 10.1007/s00330-025-12257.
    >> Share

  70. SACCENTI L, El Bejjani L, Dao TH
    Postmastectomy radiotherapy for early-stage breast cancer: can imaging bring us closer to personalized care?
    Eur Radiol. 2025 Dec 17. doi: 10.1007/s00330-025-12201.
    >> Share

  71. NOGUEIRA L, Adubeiro N, Nunes RG
    Changing slopes: can we be moving toward improved early treatment response prediction in breast cancer?
    Eur Radiol. 2025 Dec 5. doi: 10.1007/s00330-025-12204.
    >> Share

    November 2025
  72. GATEWOOD J, Peterson J, Aripoli A, Huppe A, et al
    Can a low b-value diffusion-weighted imaging sequence replace the standard T2-weighted fluid-sensitive sequence in breast MRI? A single-center prospective study.
    Eur Radiol. 2025;35:7235-7243.
    >> Share

    October 2025
  73. XU Z, Zhang Y, Zou Y, He Y, et al
    Identify high-risk patients of T1-2N1M0 breast cancer who benefit from postmastectomy radiotherapy: a dual-center retrospective propensity score-matched study.
    Eur Radiol. 2025 Oct 25. doi: 10.1007/s00330-025-12091.
    >> Share

  74. SEKER ME, Ozkan O
    Navigating the future of mammography triaging: insights from combined usage of AI algorithms in breast cancer screening.
    Eur Radiol. 2025 Oct 24. doi: 10.1007/s00330-025-12095.
    >> Share

  75. ZHANG T, Liang X, Mann RM
    Multimodal artificial intelligence in breast cancer: towards integrated prediction and personalized care.
    Eur Radiol. 2025 Oct 22. doi: 10.1007/s00330-025-12085.
    >> Share

  76. SARDANELLI F, Scaperrotta G
    Artificial intelligence for breast cancer prevention: the vision ahead.
    Eur Radiol. 2025 Oct 8. doi: 10.1007/s00330-025-12036.
    >> Share

  77. LI Y, Wang J, Guo J, Yue C, et al
    Longitudinal wash-in slope changes on dynamic contrast enhancement MRI for predicting response to neoadjuvant chemotherapy in breast cancer.
    Eur Radiol. 2025 Oct 3. doi: 10.1007/s00330-025-12042.
    >> Share

  78. COZZI A, Di Leo G, Houssami N, Gilbert FJ, et al
    Preoperative breast MRI for invasive ductal carcinoma with or without a DCIS component at needle biopsy: influence on surgical outcomes in the MIPA study.
    Eur Radiol. 2025;35:6433-6443.
    >> Share

  79. GOTO M, Le Bihan D, Sakai K, Yamada K, et al
    Reduction of biopsy rate in BI-RADS4 breast lesions: potential of an abbreviated advanced DWI protocol.
    Eur Radiol. 2025;35:6421-6432.
    >> Share

  80. ALLAJBEU I, Nanaa M, Manavaki R, Papalouka V, et al
    Improving the diagnostic performance of contrast-enhanced mammography through lesion conspicuity and enhancement quantification.
    Eur Radiol. 2025;35:6385-6397.
    >> Share

    September 2025
  81. YANG P, Wang M, Mao J, Cai P, et al
    Impact of intraoperative radiotherapy vs postoperative radiotherapy on survival in early-stage breast cancer patients.
    Eur Radiol. 2025 Sep 12. doi: 10.1007/s00330-025-11879.
    >> Share

  82. TENDERO R, Larroza A, Perez-Benito FJ, Perez-Cortes JC, et al
    Breast cancer risk assessment for screening: a hybrid artificial intelligence approach.
    Eur Radiol. 2025 Sep 11. doi: 10.1007/s00330-025-11980.
    >> Share

  83. HOVDA T, Larsen M, Bergan MB, Gjesvik J, et al
    Retrospective evaluation of a CE-marked AI system, including 1,017,208 mammography screening examinations.
    Eur Radiol. 2025;35:5685-5694.
    >> Share

  84. JU Y, Zhang G, Wan Y, Wang G, et al
    Integration of AI lesion classification, age, and BI-RADS assessment to reduce benign biopsies on breast ultrasound.
    Eur Radiol. 2025;35:5658-5670.
    >> Share

  85. AZCONA SAENZ J, Molero Calafell J, Roman Exposito M, Vall Foraster E, et al
    Preoperative estimation of the pathological breast tumor size in architectural distortions: a comparison of DM, DBT, US, CEM, and MRI.
    Eur Radiol. 2025;35:5635-5645.
    >> Share

    August 2025
  86. KIDOH M, Hirai T
    Reply to the Letter to the Editor: Current role of the pericoronary fat attenuation index in breast cancer patients undergoing chemotherapy.
    Eur Radiol. 2025 Aug 22. doi: 10.1007/s00330-025-11960.
    >> Share

  87. ROTZINGER DC, Fahrni G
    Letter to the Editor: Current role of the pericoronary fat attenuation index in breast cancer patients undergoing chemotherapy.
    Eur Radiol. 2025 Aug 22. doi: 10.1007/s00330-025-11959.
    >> Share

  88. GIANNOTTI E, Pasculli M, Sella T, Van Ongeval C, et al
    ESR Essentials: post-treatment breast cancer surveillance from mammography to a more personalised approach-practice recommendations by the European Society of Breast Imaging.
    Eur Radiol. 2025 Aug 14. doi: 10.1007/s00330-025-11819.
    >> Share

  89. BOLAN PJ, Rahbar H, Partridge SC
    Can we cut the contrast? DWI shows similar value to standard MRI for assessing treatment response in breast cancer.
    Eur Radiol. 2025 Aug 7. doi: 10.1007/s00330-025-11912.
    >> Share

  90. SUBELACK J, Morant R, Blum M, Grawingholt A, et al
    Retrospective evaluation of interval breast cancer screening mammograms by radiologists and AI.
    Eur Radiol. 2025 Aug 4. doi: 10.1007/s00330-025-11833.
    >> Share

  91. WAGNER T, Cockmartin L, Wang YK, Marshall N, et al
    A practical work around for breast density distribution discrepancies between mammographic images from different vendors.
    Eur Radiol. 2025;35:4885-4892.
    >> Share

  92. LU F, Zhao Y, Wang Z, Feng N, et al
    Diagnostic accuracy of node-RADS for the detection of lymph node invasion: a systematic review and meta-analysis.
    Eur Radiol. 2025;35:4429-4437.
    >> Share

    July 2025
  93. COZZI A, Di Leo G, Houssami N, Gilbert FJ, et al
    Preoperative breast MRI reduces reoperations for unilateral invasive lobular carcinoma: a patient-matched analysis from the MIPA study.
    Eur Radiol. 2025;35:3990-4000.
    >> Share

  94. VAN DER VEER EL, Rozemond F, Generaal MI, Bluekens AMJ, et al
    Interhospital variations in diagnostic work-up following recall at biennial screening mammography-a population-based study.
    Eur Radiol. 2025;35:3964-3978.
    >> Share

  95. JOHNSON K, Ikeda DM, Andersson I, Zackrisson S, et al
    Cancers not detected in one-view breast tomosynthesis screening-characteristics and reasons for non-detection.
    Eur Radiol. 2025;35:3951-3960.
    >> Share

  96. HUANG J, He N, Li J, Chen J, et al
    Performance of contrast-enhanced cone-beam breast CT to predict nipple-areolar complex involvement in early-stage breast cancer.
    Eur Radiol. 2025 Jul 1. doi: 10.1007/s00330-025-11787.
    >> Share

    June 2025
  97. TAIB AG, Partridge GJW, Yao L, Darker I, et al
    The evaluation of artificial intelligence in mammography-based breast cancer screening: Is breast-level analysis enough?
    Eur Radiol. 2025 Jun 25. doi: 10.1007/s00330-025-11733.
    >> Share

  98. EOM HJ, Kim HH, Kim HJ, Choi WJ, et al
    Comparison of diffusion-weighted and contrast-enhanced MRI for monitoring response to neoadjuvant therapy in breast cancer.
    Eur Radiol. 2025 Jun 24. doi: 10.1007/s00330-025-11640.
    >> Share

  99. VAN WINKEL SL, Samperna R, Loehrer EA, Drukker CA, et al
    Breast cancer in women after withdrawing from an increased-risk MRI screening program.
    Eur Radiol. 2025 Jun 12. doi: 10.1007/s00330-025-11718.
    >> Share

  100. SANTONOCITO A, Zarcaro C, Zeitouni L, Ferrara F, et al
    A head-to-head comparison of breast lesion's conspicuity at contrast-enhanced mammography and contrast-enhanced MRI.
    Eur Radiol. 2025;35:3070-3079.
    >> Share

    May 2025
  101. VERBOOM SD, Mainprize JG, Peters J, Broeders M, et al
    More than density: validating a mammographic masking prediction model in Dutch breast cancer screening.
    Eur Radiol. 2025 May 29. doi: 10.1007/s00330-025-11687.
    >> Share

  102. THOMASSIN-NAGGARA I, Athanasiou A, Kilburn-Toppin F, Forrai G, et al
    Misdiagnosis in breast imaging: a statement paper from European Society Breast Imaging (EUSOBI)-Part 2: Main causes of errors in breast imaging and recommendations from European Society of Breast Imaging to limit misdiagnosis.
    Eur Radiol. 2025;35:2397-2411.
    >> Share

  103. ZARCARO C, Santonocito A, Zeitouni L, Ferrara F, et al
    Inter-reader agreement of the BI-RADS CEM lexicon.
    Eur Radiol. 2025;35:2378-2386.
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  104. NISSAN N, Gluskin J, Ochoa-Albiztegui RE, Fruchtman-Brot H, et al
    Performance of breast MRI for high-risk screening during lactation.
    Eur Radiol. 2025;35:2366-2375.
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  105. LIEBERT A, Schreiter H, Kapsner LA, Eberle J, et al
    Impact of non-contrast-enhanced imaging input sequences on the generation of virtual contrast-enhanced breast MRI scans using neural network.
    Eur Radiol. 2025;35:2603-2616.
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    April 2025
  106. ROMEO V, Rocco N
    A beneficial impact of pre-operative MRI in the surgical management of HER2-positive breast cancer.
    Eur Radiol. 2025 Apr 30. doi: 10.1007/s00330-025-11626.
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  107. HUA B, Chen J, Wang Y, Hu P, et al
    Multivariable model to predict breast cancer in non-mass enhancement lesions: a study on contrast-enhanced mammography.
    Eur Radiol. 2025 Apr 17. doi: 10.1007/s00330-025-11597.
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  108. MA Y, Wang Y, Zhang Y, Bian K, et al
    Comparison of contrast-enhanced cone-beam breast CT, MRI, and mammography for breast cancer characterization.
    Eur Radiol. 2025 Apr 16. doi: 10.1007/s00330-025-11568.
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  109. XIA S, Hua Q, Song Y, Yuan C, et al
    Super-resolution ultrasound imaging of intranodal lymphatic sinuses for predicting sentinel lymph node metastasis in breast cancer: a preliminary study.
    Eur Radiol. 2025 Apr 5. doi: 10.1007/s00330-025-11520.
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  110. HONDA M, Sigmund EE, Le Bihan D, Pinker K, et al
    Advanced breast diffusion-weighted imaging: what are the next steps? A proposal from the EUSOBI International Breast Diffusion-weighted Imaging working group.
    Eur Radiol. 2025;35:2130-2140.
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  111. ALCANTARA R, Azcona J, Pitarch M, Arenas N, et al
    Breast radiation dose with contrast-enhanced mammography-guided biopsy: a retrospective comparison with stereotactic and tomosynthesis guidance.
    Eur Radiol. 2025;35:2119-2129.
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    March 2025
  112. KIM H, Choi JS, Chi SA, Ryu JM, et al
    Digital mammography with AI-based computer-aided diagnosis to predict neoadjuvant chemotherapy response in HER2-positive and triple-negative breast cancer patients: comparison with MRI.
    Eur Radiol. 2025 Mar 25. doi: 10.1007/s00330-025-11390.
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  113. EOM HJ, Choi WJ, Sun YJ, Kim HJ, et al
    Preoperative breast MRI in HER2-positive/hormone receptor-negative breast cancer: surgical outcomes using propensity score matching.
    Eur Radiol. 2025 Mar 20. doi: 10.1007/s00330-025-11494.
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  114. VALKOVIC ZUJIC P
    Challenges and variability in breast cancer screening: diagnostic work-up and strategies for standardization across Europe.
    Eur Radiol. 2025 Mar 5. doi: 10.1007/s00330-025-11425.
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  115. BEZEK CD, Farkas M, Schweizer D, Kubik-Huch RA, et al
    Breast density assessment via quantitative sound-speed measurement using conventional ultrasound transducers.
    Eur Radiol. 2025;35:1490-1501.
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  116. VATTERONI G, Dietzel M, Baltzer PAT
    Can structured integration of BI-RADS criteria by a clinical decision rule reduce the number of unnecessary biopsies in BI-RADS 4 lesions? A systematic review and meta-analysis.
    Eur Radiol. 2025;35:1504-1513.
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    February 2025
  117. LOUIS FM, Sonke GS, Mann RM
    Image-guided adaption of systemic therapy in breast cancer patients.
    Eur Radiol. 2025 Feb 13. doi: 10.1007/s00330-025-11456.
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  118. MALHAIRE C, Umay O, Cockenpot V, Selhane F, et al
    Predicting axillary residual disease after neoadjuvant therapy in breast cancer using baseline MRI and ultrasound.
    Eur Radiol. 2025 Feb 8. doi: 10.1007/s00330-025-11408.
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  119. ABDULLAH KA, Marziali S, Nanaa M, Escudero Sanchez L, et al
    Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis.
    Eur Radiol. 2025 Feb 5. doi: 10.1007/s00330-025-11406.
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  120. RANGARAJAN K, Manivannan VV, Singh H, Gupta A, et al
    Simulation training in mammography with AI-generated images: a multireader study.
    Eur Radiol. 2025;35:562-571.
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  121. LE BIHAN D, Iima M, Partridge SC
    Fat-signal suppression in breast diffusion-weighted imaging: the Good, the Bad, and the Ugly.
    Eur Radiol. 2025;35:733-741.
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  122. OKOLIE A, Dirrichs T, Huck LC, Nebelung S, et al
    Accelerating breast MRI acquisition with generative AI models.
    Eur Radiol. 2025;35:1092-1100.
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  123. ATHANASIOU A, Appelman L, Pijnappel RM, Gilbert FJ, et al
    ESR Essentials: diagnostic work-up in patients with symptomatic breast disease-practice recommendations by the European Society of Breast Imaging.
    Eur Radiol. 2025;35:723-732.
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  124. NISSAN N, Gluskin J, Ochoa-Albiztegui RE, Sung JS, et al
    Asymmetric background parenchymal enhancement on contrast-enhanced mammography: associated factors, diagnostic workup, and clinical outcome.
    Eur Radiol. 2025;35:712-722.
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    January 2025
  125. D'ANGELO A, Caprini F, Adele Marino M
    Current status of breast cancer screening in transgender and gender-diverse populations.
    Eur Radiol. 2025 Jan 31. doi: 10.1007/s00330-025-11355.
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  126. NANAA M, Manavaki R, van Nijnatten TJA, Stranz N, et al
    Tumour growth rate and invasive interval cancer characteristics in a UK breast cancer screening population.
    Eur Radiol. 2025 Jan 21. doi: 10.1007/s00330-024-11342.
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  127. KIDOH M, Oda S, Sueta D, Egashira K, et al
    Serial assessment of coronary artery inflammation using cardiac CT in anthracycline chemotherapy for breast cancer.
    Eur Radiol. 2025 Jan 21. doi: 10.1007/s00330-025-11347.
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  128. KREGTING L, van den Oever D, Pennings L, Pijnappel R, et al
    The Screening Tomosynthesis Trial with Advanced Reader Methods (STREAM): design and rationale of a population-based breast cancer screening trial.
    Eur Radiol. 2025 Jan 9. doi: 10.1007/s00330-024-11324.
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  129. PAYNE NR, Hickman SE, Black R, Priest AN, et al
    Breast density effect on the sensitivity of digital screening mammography in a UK cohort.
    Eur Radiol. 2025;35:177-187.
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  130. KIM H, Chi SA, Kim K, Han BK, et al
    Ultrafast sequence-based prediction model and nomogram to differentiate additional suspicious lesions on preoperative breast MRI.
    Eur Radiol. 2025;35:188-201.
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  131. SOMMER A, Weigel S, Hense HW, Gerss J, et al
    Radiation exposure and screening yield by digital breast tomosynthesis compared to mammography: results of the TOSYMA Trial breast density related.
    Eur Radiol. 2025;35:166-176.
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  132. ZHOU J, Liu H, Miao H, Ye S, et al
    Breast lesions on MRI in mass and non-mass enhancement: Kaiser score and modified Kaiser score + for readers of variable experience.
    Eur Radiol. 2025;35:140-150.
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    December 2024
  133. NETTI S, D'Ecclesiis O, Corso F, Botta F, et al
    Methodological issues in radiomics: impact on accuracy of MRI for predicting response to neoadjuvant chemotherapy in breast cancer.
    Eur Radiol. 2024 Dec 19. doi: 10.1007/s00330-024-11260.
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    November 2024
  134. HOFF SR
    Challenges when comparing tomosynthesis and 2D mammography in breast cancer screening.
    Eur Radiol. 2024 Nov 21. doi: 10.1007/s00330-024-11180.
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  135. MANN RM, Rubio IT, Menke-van der Houven van Oordt CW, Fuchsjager M, et al
    ESR Bridges: image-guided breast cancer treatment de-escalation-a multidisciplinary view.
    Eur Radiol. 2024 Nov 20. doi: 10.1007/s00330-024-11208.
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  136. THOMASSIN-NAGGARA I, Kilburn-Toppin F, Athanasiou A, Forrai G, et al
    Misdiagnosis in breast imaging: a statement paper from European Society Breast Imaging (EUSOBI)-Part 1: The role of common errors in radiology in missed breast cancer and implications of misdiagnosis.
    Eur Radiol. 2024 Nov 15. doi: 10.1007/s00330-024-11128.
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    October 2024
  137. KELLER AH, Fowler AM
    Balancing early detection with lactation-related challenges: breast MRI for high-risk breast cancer screening.
    Eur Radiol. 2024 Oct 31. doi: 10.1007/s00330-024-11129.
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  138. GIANNOTTI E, Lambertini M
    Further insights into the use of contrast-enhanced imaging for breast cancer follow-up: the pros view.
    Eur Radiol. 2024 Oct 16. doi: 10.1007/s00330-024-11096.
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  139. WALLIS MG
    Further insights into the use of contrast-enhanced imaging for breast cancer follow-up: the cons view.
    Eur Radiol. 2024 Oct 15. doi: 10.1007/s00330-024-11097.
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  140. LIBESMAN S, Li T, Marinovich ML, Seidler AL, et al
    Interval breast cancer rates for tomosynthesis vs mammography population screening: a systematic review and meta-analysis of prospective studies.
    Eur Radiol. 2024 Oct 3. doi: 10.1007/s00330-024-11085.
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  141. HONDA M, Kataoka M
    Quantitative evaluation of breast lesions using ultrafast MRI has come so far.
    Eur Radiol. 2024;34:6283-6284.
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  142. BERG WA
    Why don't all women with extremely dense breasts want MRI screening?
    Eur Radiol. 2024;34:6332-6333.
    >> Share

  143. BITENCOURT AGV
    The impact of AI implementation in mammographic screening: redefining dense breast screening practices.
    Eur Radiol. 2024;34:6296-6297.
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  144. VEENHUIZEN SGA, van Grinsven SEL, Laseur IL, Bakker MF, et al
    Re-attendance in supplemental breast MRI screening rounds of the DENSE trial for women with extremely dense breasts.
    Eur Radiol. 2024;34:6334-6347.
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  145. KIM HJ, Kim HH, Kim KH, Lee JS, et al
    Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations.
    Eur Radiol. 2024;34:6320-6331.
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  146. VANCOILLIE L, Cockmartin L, Lueck F, Marshall N, et al
    Optimized signal of calcifications in wide-angle digital breast tomosynthesis: a virtual imaging trial.
    Eur Radiol. 2024;34:6309-6319.
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  147. BERGAN MB, Larsen M, Moshina N, Bartsch H, et al
    AI performance by mammographic density in a retrospective cohort study of 99,489 participants in BreastScreen Norway.
    Eur Radiol. 2024;34:6298-6308.
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  148. AMITAI Y, Freitas VAR, Golan O, Kessner R, et al
    The diagnostic performance of ultrafast MRI to differentiate benign from malignant breast lesions: a systematic review and meta-analysis.
    Eur Radiol. 2024;34:6285-6295.
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  149. GOULAM-HOUSSEIN S, Ye XY, Fleming R, Au F, et al
    Evaluating persistent T1-weighted lesions without concurrent abnormal enhancement on breast MRI in neoadjuvant chemotherapy patients: implications for complete pathological response.
    Eur Radiol. 2024;34:6273-6282.
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    September 2024
  150. OZCAN BB, Wanniarachchi H, Mason RP, Dogan BE, et al
    Current status of optoacoustic breast imaging and future trends in clinical application: is it ready for prime time?
    Eur Radiol. 2024;34:6092-6107.
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    August 2024
  151. VAN DER VOORT A, van der Hoogt KJJ, Wessels R, Schipper RJ, et al
    Correction: Diffusion-weighted imaging in addition to contrast-enhanced MRI in identifying complete response in HER2-positive breast cancer.
    Eur Radiol. 2024 Aug 13. doi: 10.1007/s00330-024-11008.
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  152. KLEIN WOLTERINK F, Ab Mumin N, Appelman L, Derks-Rekers M, et al
    Diagnostic performance of 3D automated breast ultrasound (3D-ABUS) in a clinical screening setting-a retrospective study.
    Eur Radiol. 2024;34:5451-5460.
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  153. SCHIAFFINO S, Cozzi A, Clauser P, Giannotti E, et al
    Current use and future perspectives of contrast-enhanced mammography (CEM): a survey by the European Society of Breast Imaging (EUSOBI).
    Eur Radiol. 2024;34:5439-5450.
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  154. PULIDO-CARMONA C, Romero-Martin S, Raya-Povedano JL, Cara-Garcia M, et al
    Interval cancer in the Cordoba Breast Tomosynthesis Screening Trial (CBTST): comparison of digital breast tomosynthesis plus digital mammography to digital mammography alone.
    Eur Radiol. 2024;34:5427-5438.
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    July 2024
  155. FALLENBERG EM
    Implementing the advantages of contrast-enhanced mammography and contrast-enhanced breast MRI in breast cancer staging.
    Eur Radiol. 2024 Jul 12. doi: 10.1007/s00330-024-10896.
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  156. SARTOR H, Sturesdotter L, Larsson AM, Rosendahl AH, et al
    Mammographic features differ with body composition in women with breast cancer.
    Eur Radiol. 2024 Jul 12. doi: 10.1007/s00330-024-10937.
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  157. VAN DER VOORT A, van der Hoogt KJJ, Wessels R, Schipper RJ, et al
    Diffusion-weighted imaging in addition to contrast-enhanced MRI in identifying complete response in HER2-positive breast cancer.
    Eur Radiol. 2024 Jul 5. doi: 10.1007/s00330-024-10857.
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  158. DUIJM LEM
    Dense breasts at breast cancer screening: can DWI-based breast MRI without contrast help us in the pursuit of personalized screening?
    Eur Radiol. 2024;34:4727-4729.
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  159. WANG X, Jing L, Yan L, Wang P, et al
    A conditional inference tree model for predicting cancer risk of non-mass lesions detected on breast ultrasound.
    Eur Radiol. 2024;34:4776-4788.
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  160. NISSAN N
    Pre-injection anticipation of artifacts in contrast-enhanced breast MRI: artificial intelligence harnessed for the aid once again.
    Eur Radiol. 2024;34:4750-4751.
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  161. CHEN C, Turco S, Kapetas P, Mann R, et al
    Spatiotemporal analysis of contrast-enhanced ultrasound for differentiating between malignant and benign breast lesions.
    Eur Radiol. 2024;34:4764-4773.
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  162. LIEBERT A, Das BK, Kapsner LA, Eberle J, et al
    Smart forecasting of artifacts in contrast-enhanced breast MRI before contrast agent administration.
    Eur Radiol. 2024;34:4752-4763.
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  163. GENNARO G, Povolo L, Del Genio S, Ciampani L, et al
    Using automated software evaluation to improve the performance of breast radiographers in tomosynthesis screening.
    Eur Radiol. 2024;34:4738-4749.
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  164. WIELEMA M, Sijens PE, Pijnappel RM, De Bock GH, et al
    Image quality of DWI at breast MRI depends on the amount of fibroglandular tissue: implications for unenhanced screening.
    Eur Radiol. 2024;34:4730-4737.
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    June 2024
  165. MORAN CJ
    Ready the treasure at our feet, MRI feature analysis in young women with breast cancer.
    Eur Radiol. 2024 Jun 19. doi: 10.1007/s00330-024-10840.
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  166. PEDICONI F, Maroncelli R, Pasculli M, Galati F, et al
    Performance of MRI for standardized lymph nodes assessment in breast cancer: are we ready for Node-RADS?
    Eur Radiol. 2024 Jun 12. doi: 10.1007/s00330-024-10828.
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  167. EL KHOURY M, Mesurolle B
    Pre-operative MRI in patients with ductal carcinoma in situ: the ongoing debate.
    Eur Radiol. 2024;34:3967-3969.
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  168. COZZI A, Di Leo G, Houssami N, Gilbert FJ, et al
    Preoperative breast MRI positively impacts surgical outcomes of needle biopsy-diagnosed pure DCIS: a patient-matched analysis from the MIPA study.
    Eur Radiol. 2024;34:3970-3980.
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  169. WAUGH J, Evans J, Miocevic M, Lockie D, et al
    Performance of artificial intelligence in 7533 consecutive prevalent screening mammograms from the BreastScreen Australia program.
    Eur Radiol. 2024;34:3947-3957.
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  170. KUHL J, Elhakim MT, Stougaard SW, Rasmussen BSB, et al
    Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.
    Eur Radiol. 2024;34:3935-3946.
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  171. SKAANE P, Osteras BH, Yanakiev S, Lie T, et al
    Discordant and false-negative interpretations at digital breast tomosynthesis in the prospective Oslo Tomosynthesis Screening Trial (OTST) using independent double reading.
    Eur Radiol. 2024;34:3912-3923.
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  172. KIM HJ, Choi WJ, Gwon HY, Jang SJ, et al
    Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software.
    Eur Radiol. 2024;34:3924-3934.
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    May 2024
  173. CHAE EY, Jung MR, Cha JH, Shin HJ, et al
    A predictive model using MRI and clinicopathologic features for breast cancer recurrence in young women treated with upfront surgery.
    Eur Radiol. 2024 May 24. doi: 10.1007/s00330-024-10805.
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  174. ALVAREZ-BENITO M
    Imaging evaluation of neoadjuvant breast cancer treatment: where do we stand?
    Eur Radiol. 2024 May 16. doi: 10.1007/s00330-024-10799.
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  175. FU Y, Lei YT, Huang YH, Mei F, et al
    Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study.
    Eur Radiol. 2024 May 10. doi: 10.1007/s00330-024-10786.
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  176. ZUIANI C, Mansutti I, Caronia G, Linda A, et al
    Added value of the EUSOBI diffusion levels in breast MRI.
    Eur Radiol. 2024;34:3352-3363.
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  177. WANG L, Wang P, Shao H, Li J, et al
    Role of contrast-enhanced mammography in the preoperative detection of ductal carcinoma in situ of the breasts: a comparison with low-energy image and magnetic resonance imaging.
    Eur Radiol. 2024;34:3342-3351.
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    April 2024
  178. YAN R, Murakami W, Mortazavi S, Yu T, et al
    Quantitative assessment of background parenchymal enhancement is associated with lifetime breast cancer risk in screening MRI.
    Eur Radiol. 2024 Apr 29. doi: 10.1007/s00330-024-10758.
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  179. MARCON M, Fuchsjager MH, Clauser P, Mann RM, et al
    ESR Essentials: screening for breast cancer - general recommendations by EUSOBI.
    Eur Radiol. 2024 Apr 24. doi: 10.1007/s00330-024-10740.
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  180. VEDANTHAM S
    Contrast-enhanced breast computed tomography: can lymph node metastasis be predicted from primary tumor?
    Eur Radiol. 2024;34:2574-2575.
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  181. XU Z, Lin Y, Huo J, Gao Y, et al
    A bimodal nomogram as an adjunct tool to reduce unnecessary breast biopsy following discordant ultrasonic and mammographic BI-RADS assessment.
    Eur Radiol. 2024;34:2608-2618.
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  182. MAO C, Hu L, Jiang W, Qiu Y, et al
    Discrimination between human epidermal growth factor receptor 2 (HER2)-low-expressing and HER2-overexpressing breast cancers: a comparative study of four MRI diffusion models.
    Eur Radiol. 2024;34:2546-2559.
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    March 2024
  183. CAMPS-HERRERO J, Pijnappel R, Balleyguier C
    MR-contrast enhanced mammography (CEM) for follow-up of breast cancer patients: a "pros and cons" debate.
    Eur Radiol. 2024 Mar 15. doi: 10.1007/s00330-024-10684.
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    February 2024
  184. KOCH HW, Larsen M, Bartsch H, Martiniussen MA, et al
    How do AI markings on screening mammograms correspond to cancer location? An informed review of 270 breast cancer cases in BreastScreen Norway.
    Eur Radiol. 2024 Feb 23. doi: 10.1007/s00330-024-10662.
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