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Breast Cancer

Free Subscription Articles published in Eur Radiol Retrieve available abstracts of 166 articles: HTML format

Single Articles

August 2026
1. 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.
   PubMed     Abstract available
   
   
   
2. 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.
   PubMed     Abstract available
   
   
   
3. 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.
   PubMed     Abstract available
   
   
   July 2026
4. ZHANG T, Rasoolzadeh N, Mann RM
   Can multimodal AI bridge imaging and prognosis in breast cancer?
   Eur Radiol. 2026;36:5592-5594.
   PubMed    
   
   
   
5. 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.
   PubMed     Abstract available
   
   
   
6. 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.
   PubMed     Abstract available
   
   
   
7. 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.
   PubMed     Abstract available
   
   
   
8. 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.
   PubMed     Abstract available
   
   
   
9. 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.
   PubMed     Abstract available
   
   
   June 2026
10. 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.
    PubMed    
    
    
    
11. 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.
    PubMed     Abstract available
    
    
    
12. 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.
    PubMed    
    
    
    
13. 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.
    PubMed     Abstract available
    
    
    
14. 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.
    PubMed     Abstract available
    
    
    
15. 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.
    PubMed     Abstract available
    
    
    
16. 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.
    PubMed     Abstract available
    
    
    
17. 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.
    PubMed     Abstract available
    
    
    
18. 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.
    PubMed     Abstract available
    
    
    
19. 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.
    PubMed     Abstract available
    
    
    
20. 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.
    PubMed     Abstract available
    
    
    
21. 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.
    PubMed     Abstract available
    
    
    
22. 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.
    PubMed     Abstract available
    
    
    
23. 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.
    PubMed     Abstract available
    
    
    May 2026
24. 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.
    PubMed     Abstract available
    
    
    
25. 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.
    PubMed     Abstract available
    
    
    
26. 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.
    PubMed     Abstract available
    
    
    
27. 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.
    PubMed     Abstract available
    
    
    
28. 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.
    PubMed     Abstract available
    
    
    
29. 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.
    PubMed     Abstract available
    
    
    
30. 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.
    PubMed     Abstract available
    
    
    
31. 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.
    PubMed     Abstract available
    
    
    April 2026
32. 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.
    PubMed     Abstract available
    
    
    
33. 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.
    PubMed     Abstract available
    
    
    
34. 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.
    PubMed    
    
    
    March 2026
35. 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.
    PubMed    
    
    
    
36. 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.
    PubMed    
    
    
    
37. 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.
    PubMed     Abstract available
    
    
    
38. 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.
    PubMed     Abstract available
    
    
    
39. 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.
    PubMed     Abstract available
    
    
    February 2026
40. 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.
    PubMed     Abstract available
    
    
    
41. 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.
    PubMed     Abstract available
    
    
    
42. 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.
    PubMed     Abstract available
    
    
    
43. 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.
    PubMed     Abstract available
    
    
    
44. 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.
    PubMed     Abstract available
    
    
    January 2026
45. 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.
    PubMed     Abstract available
    
    
    
46. 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.
    PubMed     Abstract available
    
    
    
47. 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.
    PubMed     Abstract available
    
    
    
48. 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.
    PubMed     Abstract available
    
    
    December 2025
49. 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.
    PubMed     Abstract available
    
    
    
50. 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.
    PubMed     Abstract available
    
    
    
51. 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.
    PubMed     Abstract available
    
    
    
52. 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.
    PubMed    
    
    
    
53. 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.
    PubMed    
    
    
    November 2025
54. 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.
    PubMed     Abstract available
    
    
    October 2025
55. 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.
    PubMed     Abstract available
    
    
    
56. 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.
    PubMed    
    
    
    
57. 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.
    PubMed    
    
    
    
58. SARDANELLI F, Scaperrotta G
    Artificial intelligence for breast cancer prevention: the vision ahead.
    Eur Radiol. 2025 Oct 8. doi: 10.1007/s00330-025-12036.
    PubMed     Abstract available
    
    
    
59. 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.
    PubMed     Abstract available
    
    
    
60. 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.
    PubMed     Abstract available
    
    
    
61. 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.
    PubMed     Abstract available
    
    
    
62. 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.
    PubMed     Abstract available
    
    
    September 2025
63. 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.
    PubMed     Abstract available
    
    
    
64. 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.
    PubMed     Abstract available
    
    
    
65. 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.
    PubMed     Abstract available
    
    
    
66. 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.
    PubMed     Abstract available
    
    
    
67. 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.
    PubMed     Abstract available
    
    
    August 2025
68. 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.
    PubMed    
    
    
    
69. 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.
    PubMed    
    
    
    
70. 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.
    PubMed     Abstract available
    
    
    
71. 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.
    PubMed    
    
    
    
72. 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.
    PubMed     Abstract available
    
    
    
73. 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.
    PubMed     Abstract available
    
    
    
74. 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.
    PubMed     Abstract available
    
    
    July 2025
75. 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.
    PubMed     Abstract available
    
    
    
76. 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.
    PubMed     Abstract available
    
    
    
77. 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.
    PubMed     Abstract available
    
    
    
78. 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.
    PubMed     Abstract available
    
    
    June 2025
79. 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.
    PubMed     Abstract available
    
    
    
80. 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.
    PubMed     Abstract available
    
    
    
81. 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.
    PubMed     Abstract available
    
    
    
82. 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.
    PubMed     Abstract available
    
    
    May 2025
83. 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.
    PubMed     Abstract available
    
    
    
84. 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.
    PubMed     Abstract available
    
    
    
85. 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.
    PubMed     Abstract available
    
    
    
86. 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.
    PubMed     Abstract available
    
    
    
87. 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.
    PubMed     Abstract available
    
    
    April 2025
88. 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.
    PubMed    
    
    
    
89. 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.
    PubMed     Abstract available
    
    
    
90. 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.
    PubMed     Abstract available
    
    
    
91. 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.
    PubMed     Abstract available
    
    
    
92. 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.
    PubMed     Abstract available
    
    
    
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