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Articles published in
Eur Radiol
    February 2025
  1. 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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  2. 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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  3. 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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  4. 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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  5. 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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  6. 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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  7. 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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  8. 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
  9. 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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  10. 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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  11. 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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  12. 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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  13. 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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  14. 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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  15. 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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  16. 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
  17. 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
  18. 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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  19. 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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  20. 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
  21. 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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  22. 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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  23. 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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  24. 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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  25. 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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  26. BERG WA
    Why don't all women with extremely dense breasts want MRI screening?
    Eur Radiol. 2024;34:6332-6333.
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  27. 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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  28. 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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  29. 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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  30. 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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  31. 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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  32. 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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  33. 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
  34. 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
  35. 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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  36. 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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  37. 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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  38. 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
  39. 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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  40. 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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  41. 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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  42. 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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  43. 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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  44. 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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  45. 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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  46. 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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  47. 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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  48. 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
  49. 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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  50. 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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  51. 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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  52. 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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  53. 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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  54. 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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  55. 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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  56. 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
  57. 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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  58. 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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  59. 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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  60. 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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  61. 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
  62. 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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  63. 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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  64. 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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  65. 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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  66. 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
  67. 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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  68. LOKAJ B, Pugliese MT, Kinkel K, Lovis C, et al
    Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review.
    Eur Radiol. 2024;34:2096-2109.
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  69. JING X, Dorrius MD, Zheng S, Wielema M, et al
    Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks.
    Eur Radiol. 2024;34:2084-2092.
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    February 2024
  70. 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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  71. SEKER ME, Koyluoglu YO, Ozaydin AN, Gurdal SO, et al
    Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program.
    Eur Radiol. 2024 Feb 22. doi: 10.1007/s00330-024-10661.
    >> Share

  72. ZHENG S, Yang Z, Du G, Zhang Y, et al
    Discrimination between HER2-overexpressing, -low-expressing, and -zero-expressing statuses in breast cancer using multiparametric MRI-based radiomics.
    Eur Radiol. 2024 Feb 16. doi: 10.1007/s00330-024-10641.
    >> Share

  73. WANG Q, Lin Y, Ding C, Guan W, et al
    Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography.
    Eur Radiol. 2024 Feb 10. doi: 10.1007/s00330-024-10638.
    >> Share

  74. ZHAO S, Li Y, Ning N, Liang H, et al
    Association of peritumoral region features assessed on breast MRI and prognosis of breast cancer: a systematic review and meta-analysis.
    Eur Radiol. 2024 Feb 9. doi: 10.1007/s00330-024-10612.
    >> Share

  75. TONG Y, Hu Z, Wang H, Huang J, et al
    Anti-HER2 therapy response assessment for guiding treatment (de-)escalation in early HER2-positive breast cancer using a novel deep learning radiomics model.
    Eur Radiol. 2024 Feb 8. doi: 10.1007/s00330-024-10609.
    >> Share

  76. MULLEN LA
    Can digital breast tomosynthesis decrease interval cancers in a breast cancer screening program?
    Eur Radiol. 2024 Feb 6. doi: 10.1007/s00330-024-10635.
    >> Share

  77. ZHANG T, Mann RM
    Contrast-enhanced mammography: better with AI?
    Eur Radiol. 2024;34:914-916.
    >> Share

  78. XU J, Zhang L, Wen W, He Y, et al
    Evaluation of standard breast ultrasonography by adding two-dimensional and three-dimensional shear wave elastography: a prospective, multicenter trial.
    Eur Radiol. 2024;34:945-956.
    >> Share

  79. BARR RG
    Breast elastography: how does it works, and for what purposes?
    Eur Radiol. 2024;34:928-929.
    >> Share

  80. PARTRIDGE GJW, Taib AG, Phillips P, James JJ, et al
    Take a break: should breaks be enforced during digital breast tomosynthesis reading sessions?
    Eur Radiol. 2024;34:1388-1398.
    >> Share

    January 2024
  81. DENG Y, Lu Y, Li X, Zhu Y, et al
    Prediction of human epidermal growth factor receptor 2 (HER2) status in breast cancer by mammographic radiomics features and clinical characteristics: a multicenter study.
    Eur Radiol. 2024 Jan 26. doi: 10.1007/s00330-024-10607.
    >> Share

  82. STEYEROVA P, Kaidar-Person O, Pinker K, Dubsky P, et al
    Breast cancer: evaluating the axilla before, during, and after therapy-new challenges.
    Eur Radiol. 2024 Jan 26. doi: 10.1007/s00330-024-10621.
    >> Share

  83. AL-BAZZAZ H, Janicijevic M, Strand F
    Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.
    Eur Radiol. 2024 Jan 2. doi: 10.1007/s00330-023-10514.
    >> Share

  84. ZARIC O, Hatamikia S, George G, Schwarzhans F, et al
    AI-based time-intensity-curve assessment of breast tumors on MRI.
    Eur Radiol. 2024;34:179-181.
    >> Share

  85. BARUFALDI B, Acciavatti RJ, Conant EF, Maidment ADA, et al
    Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis.
    Eur Radiol. 2024;34:193-203.
    >> Share

  86. LIU Z, Yao B, Wen J, Wang M, et al
    Voxel-wise mapping of DCE-MRI time-intensity-curve profiles enables visualizing and quantifying hemodynamic heterogeneity in breast lesions.
    Eur Radiol. 2024;34:182-192.
    >> Share

  87. D'ANGELO A, Scardina L, Palma S, Cicero SL, et al
    Magnetic seed versus skin tattoo localization of non-palpable breast lesions: a single institution cohort study.
    Eur Radiol. 2024;34:149-154.
    >> Share

    December 2023
  88. RAYA-POVEDANO JL
    AI in breast cancer screening: a critical overview of what we know.
    Eur Radiol. 2023 Dec 21. doi: 10.1007/s00330-023-10530.
    >> Share

  89. MANN RM
    Breast screening: "If you really want to see it, you just make an MRI".
    Eur Radiol. 2023;33:8410-8412.
    >> Share

  90. LOBBES MBI
    Breast cancer screening in patients with intermediate risk using contrast-enhanced mammography.
    Eur Radiol. 2023;33:8407-8409.
    >> Share

    November 2023
  91. ELIAS-CABOT E, Romero-Martin S, Raya-Povedano JL, Brehl AK, et al
    Impact of real-life use of artificial intelligence as support for human reading in a population-based breast cancer screening program with mammography and tomosynthesis.
    Eur Radiol. 2023 Nov 17. doi: 10.1007/s00330-023-10426.
    >> Share

  92. CHAN HP
    Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.
    Eur Radiol. 2023 Nov 16. doi: 10.1007/s00330-023-10449.
    >> Share

  93. MOSHINA N, Backmann HA, Skaane P, Hofvind S, et al
    Mammographic features and risk of breast cancer death among women with invasive screen-detected cancer in BreastScreen Norway 1996-2020.
    Eur Radiol. 2023 Nov 8. doi: 10.1007/s00330-023-10369.
    >> Share

  94. COZZI A, Schiaffino S
    Preoperative breast MRI in women with dense breasts: can we keep up with a rapidly changing scenario?
    Eur Radiol. 2023;33:8077-8079.
    >> Share

  95. MICHALOPOULOU E, Clauser P, Gilbert FJ, Pijnappel RM, et al
    A survey by the European Society of Breast Imaging on radiologists' preferences regarding quality assurance measures of image interpretation in screening and diagnostic mammography.
    Eur Radiol. 2023;33:8103-8111.
    >> Share

  96. RANGARAJAN K, Aggarwal P, Gupta DK, Dhanakshirur R, et al
    Deep learning for detection of iso-dense, obscure masses in mammographically dense breasts.
    Eur Radiol. 2023;33:8112-8121.
    >> Share

  97. JOHNSON K, Olinder J, Rosso A, Andersson I, et al
    False-positive recalls in the prospective Malmo Breast Tomosynthesis Screening Trial.
    Eur Radiol. 2023;33:8089-8099.
    >> Share

    October 2023
  98. TSAI HY, Kao YW, Wang JC, Tsai TY, et al
    Multitask deep learning on mammography to predict extensive intraductal component in invasive breast cancer.
    Eur Radiol. 2023 Oct 9. doi: 10.1007/s00330-023-10254.
    >> Share

  99. ZHU Y, Ma Y, Zhai Z, Liu A, et al
    Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
    Eur Radiol. 2023 Oct 2. doi: 10.1007/s00330-023-10256.
    >> Share

  100. KIM H, Choi JS, Kim K, Ko ES, et al
    Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study.
    Eur Radiol. 2023;33:7186-7198.
    >> Share

  101. SELLA T, Simor B, Adler-Levy Y, Maly B, et al
    MRI prediction of neoadjuvant chemotherapy response is equivalent in patients with or without mammographic calcifications: a step towards adapting surgical approach?
    Eur Radiol. 2023;33:7168-7177.
    >> Share

    September 2023
  102. CAI L, Sidey-Gibbons C, Nees J, Riedel F, et al
    Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?
    Eur Radiol. 2023 Sep 14. doi: 10.1007/s00330-023-10238.
    >> Share

  103. MA J, Chen K, Li S, Zhu L, et al
    MRI-based radiomic models to predict surgical margin status and infer tumor immune microenvironment in breast cancer patients with breast-conserving surgery: a multicenter validation study.
    Eur Radiol. 2023 Sep 2. doi: 10.1007/s00330-023-10144.
    >> Share

  104. COZZI A, Di Leo G, Houssami N, Gilbert FJ, et al
    Screening and diagnostic breast MRI: how do they impact surgical treatment? Insights from the MIPA study.
    Eur Radiol. 2023;33:6213-6225.
    >> Share

  105. LI JK, Fu NQ, Wang B, Jiang Y, et al
    Conventional ultrasound combined with contrast-enhanced ultrasound: could it be helpful for the diagnosis of thoracic wall recurrence after mastectomy?
    Eur Radiol. 2023;33:6482-6491.
    >> Share

  106. COHEN EO, Korhonen KE, Sun J, Leung JWT, et al
    Comparison of prone and upright, stereotactic, and tomosynthesis-guided biopsies with secondary analysis of ultrasound-occult architectural distortions.
    Eur Radiol. 2023;33:6189-6203.
    >> Share

  107. GOODBURN R, Kousi E, Sanders C, Macdonald A, et al
    Quantitative background parenchymal enhancement and fibro-glandular density at breast MRI: Association with BRCA status.
    Eur Radiol. 2023;33:6204-6212.
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    August 2023
  108. SASSI A, Salminen A, Jukkola A, Tervo M, et al
    Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer.
    Eur Radiol. 2023 Aug 30. doi: 10.1007/s00330-023-10072.
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  109. LI Z, Ma Q, Gao Y, Qu M, et al
    Diagnostic performance of MRI for assessing axillary lymph node status after neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.
    Eur Radiol. 2023 Aug 24. doi: 10.1007/s00330-023-10155.
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  110. QIAN N, Jiang W, Guo Y, Zhu J, et al
    Breast cancer diagnosis from contrast-enhanced mammography using multi-feature fusion neural network.
    Eur Radiol. 2023 Aug 23. doi: 10.1007/s00330-023-10170.
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  111. GUO Y, Xie X, Tang W, Chen S, et al
    Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer.
    Eur Radiol. 2023 Aug 19. doi: 10.1007/s00330-023-09990.
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  112. HOTTAT NA, Badr DA, Ben Ghanem M, Besse-Hammer T, et al
    Assessment of whole-body MRI including diffusion-weighted sequences in the initial staging of breast cancer patients at high risk of metastases in comparison with PET-CT: a prospective cohort study.
    Eur Radiol. 2023 Aug 9. doi: 10.1007/s00330-023-10060.
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  113. HONDA M, Iima M
    Is the breast ADC category system a useful addition to BI-RADS?
    Eur Radiol. 2023;33:5398-5399.
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  114. BICKEL H, Clauser P, Pinker K, Helbich T, et al
    Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database.
    Eur Radiol. 2023;33:5400-5410.
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    July 2023
  115. DU Y, Cai M, Zha H, Chen B, et al
    Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study.
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  116. SEXAUER R, Hejduk P, Borkowski K, Ruppert C, et al
    Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.
    Eur Radiol. 2023;33:4589-4596.
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    June 2023
  117. MALHAIRE C, Selhane F, Saint-Martin MJ, Cockenpot V, et al
    Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy.
    Eur Radiol. 2023 Jun 15. doi: 10.1007/s00330-023-09797.
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  118. OHASHI A, Kataoka M, Iima M, Honda M, et al
    A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI.
    Eur Radiol. 2023 Jun 8. doi: 10.1007/s00330-023-09730.
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  119. NISSAN N, Anaby D, Mahameed G, Bauer E, et al
    Ultrafast DCE-MRI for discriminating pregnancy-associated breast cancer lesions from lactation related background parenchymal enhancement.
    Eur Radiol. 2023 Jun 6. doi: 10.1007/s00330-023-09805.
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  120. BORDE T, Wu M, Ruschke S, Boehm C, et al
    Assessing breast density using the chemical-shift encoding-based proton density fat fraction in 3-T MRI.
    Eur Radiol. 2023;33:3810-3818.
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    May 2023
  121. GIORGI ROSSI P
    Excluding specificity from research and development priorities is delaying the AI adoption in breast cancer screening.
    Eur Radiol. 2023 May 23. doi: 10.1007/s00330-023-09733.
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  122. CARMONA-BOZO JC, Manavaki R, Miller JL, Brodie C, et al
    PET/MRI of hypoxia and vascular function in ER-positive breast cancer: correlations with immunohistochemistry.
    Eur Radiol. 2023 May 11. doi: 10.1007/s00330-023-09572.
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    April 2023
  123. BA R, Wang X, Zhang Z, Li Q, et al
    Diffusion-time dependent diffusion MRI: effect of diffusion-time on microstructural mapping and prediction of prognostic features in breast cancer.
    Eur Radiol. 2023 Apr 18. doi: 10.1007/s00330-023-09623.
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  124. JANNUSCH K, Lindemann ME, Bruckmann NM, Morawitz J, et al
    Towards a fast PET/MRI protocol for breast cancer imaging: maintaining diagnostic confidence while reducing PET and MRI acquisition times.
    Eur Radiol. 2023 Apr 12. doi: 10.1007/s00330-023-09580.
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  125. PLOUMEN RAW, de Mooij CM, Gommers S, Keymeulen KBMI, et al
    Imaging findings for response evaluation of ductal carcinoma in situ in breast cancer patients treated with neoadjuvant systemic therapy: a systematic review and meta-analysis.
    Eur Radiol. 2023 Apr 5. doi: 10.1007/s00330-023-09547.
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  126. WESSLING D, Mannlin S, Schwarz R, Hagen F, et al
    Background enhancement in contrast-enhanced spectral mammography (CESM): are there qualitative and quantitative differences between imaging systems?
    Eur Radiol. 2023;33:2945-2953.
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  127. GU Y, Xu W, Liu T, An X, et al
    Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study.
    Eur Radiol. 2023;33:2954-2964.
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    March 2023
  128. NISSAN N, Kulpanovich A, Agassi R, Allweis T, et al
    Probing lipids relaxation times in breast cancer using magnetic resonance spectroscopic fingerprinting.
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  129. YU FH, Miao SM, Li CY, Hang J, et al
    Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
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  130. KOCH HW, Larsen M, Bartsch H, Kurz KD, et al
    Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases.
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  131. CLAUSER P
    Clinical value of contralateral breast cancers detected by pre-operative MRI in patients diagnosed with DCIS: a population-based cohort study-commentary.
    Eur Radiol. 2023;33:2207-2208.
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  132. JUNGMANN F, Ziegelmayer S, Lohoefer FK, Metz S, et al
    Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification.
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  133. KEYMEULEN KBIM, Geurts SME, Kooreman LFS, Duijm LEM, et al
    Clinical value of contralateral breast cancers detected by pre-operative MRI in patients diagnosed with DCIS: a population-based cohort study.
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    February 2023
  134. RAHIMPOUR M, Saint Martin MJ, Frouin F, Akl P, et al
    Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
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    January 2023
  135. SCHIAFFINO S, Cozzi A
    Contrast-enhanced mammography-guided biopsy: why, when, and where we need it.
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  136. ALCANTARA R, Posso M, Pitarch M, Arenas N, et al
    Contrast-enhanced mammography-guided biopsy: technical feasibility and first outcomes.
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  137. IOTTI V, Giorgi Rossi P, Canovi L, Guberti M, et al
    Patient-centred care with self-compression mammography in clinical practice: a randomized trial compared to standard compression.
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  138. SADEGHIPOUR N, Tseng J, Anderson K, Ayalasomayajula S, et al
    Tumor volume doubling time estimated from digital breast tomosynthesis mammograms distinguishes invasive breast cancers from benign lesions.
    Eur Radiol. 2023;33:429-439.
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    December 2022
  139. DAHLBLOM V, Dustler M, Tingberg A, Zackrisson S, et al
    Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence.
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  140. GOH Y, Chou CP, Chan CW, Buhari SA, et al
    Impact of contrast-enhanced mammography in surgical management of breast cancers for women with dense breasts: a dual-center, multi-disciplinary study in Asia.
    Eur Radiol. 2022;32:8226-8237.
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  141. LARSEN M, Aglen CF, Hoff SR, Lund-Hanssen H, et al
    Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations.
    Eur Radiol. 2022;32:8238-8246.
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  142. JING X, Wielema M, Cornelissen LJ, van Gent M, et al
    Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time.
    Eur Radiol. 2022;32:8706-8715.
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    November 2022
  143. LIU HQ, Lin SY, Song YD, Mai SY, et al
    Machine learning on MRI radiomic features: identification of molecular subtype alteration in breast cancer after neoadjuvant therapy.
    Eur Radiol. 2022 Nov 23. doi: 10.1007/s00330-022-09264.
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  144. NISSAN N, Massasa EEM, Bauer E, Halshtok-Neiman O, et al
    MRI can accurately diagnose breast cancer during lactation.
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  145. COZZI A, Schiaffino S, Fanizza M, Magni V, et al
    Contrast-enhanced mammography for the assessment of screening recalls: a two-centre study.
    Eur Radiol. 2022;32:7388-7399.
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  146. RONG X, Kang Y, Xue J, Han P, et al
    Value of contrast-enhanced mammography combined with the Kaiser score for clinical decision-making regarding tomosynthesis BI-RADS 4A lesions.
    Eur Radiol. 2022;32:7439-7447.
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  147. PEREZ-LEON D, Posso M, Louro J, Ejarque B, et al
    Does the patient-assisted compression mode affect the mammography quality? A within-woman randomized controlled trial.
    Eur Radiol. 2022;32:7470-7479.
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  148. ARENAS N, Alcantara R, Posso M, Louro J, et al
    Comparison of technical parameters and women's experience between self-compression and standard compression modes in mammography screening: a single-blind randomized clinical trial.
    Eur Radiol. 2022;32:7480-7487.
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  149. LEE SE, Han K, Yoon JH, Youk JH, et al
    Depiction of breast cancers on digital mammograms by artificial intelligence-based computer-assisted diagnosis according to cancer characteristics.
    Eur Radiol. 2022;32:7400-7408.
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  150. DUIJM LEM, Strobbe LJA, van Breest Smallenburg V, Vreuls W, et al
    Failure of stereotactic core needle biopsy in women recalled for suspicious calcifications at screening mammography: frequency, causes, and final outcome in a multi-institutional, observational follow-up study.
    Eur Radiol. 2022;32:7420-7429.
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    September 2022
  151. FONG W, Tan L, Tan C, Wang H, et al
    Predicting the risk of axillary lymph node metastasis in early breast cancer patients based on ultrasonographic-clinicopathologic features and the use of nomograms: a prospective single-center observational study.
    Eur Radiol. 2022 Sep 28. pii: 10.1007/s00330-022-08855.
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  152. NIU Z, Gao Y, Xiao M, Mao F, et al
    Contrast-enhanced lymphatic US can improve the preoperative diagnostic performance for sentinel lymph nodes in early breast cancer.
    Eur Radiol. 2022 Sep 24. pii: 10.1007/s00330-022-09139.
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  153. XU Z, Ding Y, Zhao K, Han C, et al
    Correction to: MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study.
    Eur Radiol. 2022 Sep 8. pii: 10.1007/s00330-022-09076.
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  154. KAPSNER LA, Ohlmeyer S, Folle L, Laun FB, et al
    Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast.
    Eur Radiol. 2022;32:5997-6007.
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  155. AN Y, Mao G, Ao W, Mao F, et al
    Can DWI provide additional value to Kaiser score in evaluation of breast lesions.
    Eur Radiol. 2022;32:5964-5973.
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    August 2022
  156. MA Y, Liu A, Zhang Y, Zhu Y, et al
    Comparison of background parenchymal enhancement (BPE) on contrast-enhanced cone-beam breast CT (CE-CBBCT) and breast MRI.
    Eur Radiol. 2022;32:5773-5782.
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  157. HORVAT JV, Sevilimedu V, Becker AS, Perez-Johnston R, et al
    Frequency and outcomes of MRI-detected axillary adenopathy following COVID-19 vaccination.
    Eur Radiol. 2022;32:5752-5758.
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  158. LIU Z, Liang K, Zhang L, Lai C, et al
    Small lesion classification on abbreviated breast MRI: training can improve diagnostic performance and inter-reader agreement.
    Eur Radiol. 2022;32:5742-5751.
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    July 2022
  159. POTSCH N, Korajac A, Stelzer P, Kapetas P, et al
    Breast MRI: does a clinical decision algorithm outweigh reader experience?
    Eur Radiol. 2022 Jul 19. pii: 10.1007/s00330-022-09015.
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  160. HWANGBO L, Kim JY, Kim JJ, Lee NK, et al
    Changes in kinetic heterogeneity of breast cancer via computer-aided diagnosis on MRI predict the pathological response to neoadjuvant systemic therapy.
    Eur Radiol. 2022 Jul 18. pii: 10.1007/s00330-022-08998.
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  161. GOTO M, Le Bihan D, Sakai K, Yamada K, et al
    The diffusion MRI signature index is highly correlated with immunohistochemical status and molecular subtype of invasive breast carcinoma.
    Eur Radiol. 2022;32:4879-4888.
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  162. WANG L, Chang L, Luo R, Cui X, et al
    An artificial intelligence system using maximum intensity projection MR images facilitates classification of non-mass enhancement breast lesions.
    Eur Radiol. 2022;32:4857-4867.
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  163. LEE M, Lee SE, Kim HR, Kim MJ, et al
    Cancer yield and imaging features of probably benign calcifications at digital magnification view.
    Eur Radiol. 2022;32:4909-4918.
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  164. HEJDUK P, Marcon M, Unkelbach J, Ciritsis A, et al
    Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.
    Eur Radiol. 2022;32:4868-4878.
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  165. DOMINIQUE C, Callonnec F, Berghian A, Defta D, et al
    Deep learning analysis of contrast-enhanced spectral mammography to determine histoprognostic factors of malignant breast tumours.
    Eur Radiol. 2022;32:4834-4844.
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    June 2022
  166. SHENG DL, Shen XG, Shi ZT, Chang C, et al
    Survival outcome assessment for triple-negative breast cancer: a nomogram analysis based on integrated clinicopathological, sonographic, and mammographic characteristics.
    Eur Radiol. 2022 Jun 27. pii: 10.1007/s00330-022-08910.
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  167. YOON J, Lee HS, Kim MJ, Park VY, et al
    AI-CAD for differentiating lesions presenting as calcifications only on mammography: outcome analysis incorporating the ACR BI-RADS descriptors for calcifications.
    Eur Radiol. 2022 Jun 24. pii: 10.1007/s00330-022-08961.
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  168. CHEN ZW, Zhao YF, Liu HR, Zhou JJ, et al
    Assessment of breast lesions by the Kaiser score for differential diagnosis on MRI: the added value of ADC and machine learning modeling.
    Eur Radiol. 2022 Jun 21. pii: 10.1007/s00330-022-08899.
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  169. XU Z, Ding Y, Zhao K, Han C, et al
    MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study.
    Eur Radiol. 2022 Jun 15. pii: 10.1007/s00330-022-08896.
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  170. BERG WA
    Breast MRI for "the Masses".
    Eur Radiol. 2022;32:4034-4035.
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  171. PFOB A, Sidey-Gibbons C, Barr RG, Duda V, et al
    The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis.
    Eur Radiol. 2022;32:4101-4115.
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  172. WEI Q, Yan YJ, Wu GG, Ye XR, et al
    The diagnostic performance of ultrasound computer-aided diagnosis system for distinguishing breast masses: a prospective multicenter study.
    Eur Radiol. 2022;32:4046-4055.
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  173. TSUCHIYA M, Masui T, Terauchi K, Yamada T, et al
    MRI-based radiomics analysis for differentiating phyllodes tumors of the breast from fibroadenomas.
    Eur Radiol. 2022;32:4090-4100.
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    May 2022
  174. LO GULLO R, Sevilimedu V, Baltzer P, Le Bihan D, et al
    A survey by the European Society of Breast Imaging on the implementation of breast diffusion-weighted imaging in clinical practice.
    Eur Radiol. 2022 May 4. pii: 10.1007/s00330-022-08833.
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    April 2022
  175. WANG Q, Chen H, Luo G, Li B, et al
    Performance of novel deep learning network with the incorporation of the automatic segmentation network for diagnosis of breast cancer in automated breast ultrasound.
    Eur Radiol. 2022 Apr 30. pii: 10.1007/s00330-022-08836.
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  176. TERNIFI R, Wang Y, Gu J, Polley EC, et al
    Ultrasound high-definition microvasculature imaging with novel quantitative biomarkers improves breast cancer detection accuracy.
    Eur Radiol. 2022 Apr 29. pii: 10.1007/s00330-022-08815.
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  177. SECHOPOULOS I, Abbey CK, van der Waal D, Geertse T, et al
    Evaluation of reader performance during interpretation of breast cancer screening: the Recall and detection Of breast Cancer in Screening (ROCS) trial study design.
    Eur Radiol. 2022 Apr 28. pii: 10.1007/s00330-022-08820.
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  178. TOLLENS F, Baltzer PAT, Dietzel M, Schnitzer ML, et al
    Economic potential of abbreviated breast MRI for screening women with dense breast tissue for breast cancer.
    Eur Radiol. 2022 Apr 28. pii: 10.1007/s00330-022-08777.
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  179. RIVLIN M, Anaby D, Nissan N, Zaiss M, et al
    Breast cancer imaging with glucosamine CEST (chemical exchange saturation transfer) MRI: first human experience.
    Eur Radiol. 2022 Apr 14. pii: 10.1007/s00330-022-08772.
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  180. WANG X, Tan Y, Liu D, Shen H, et al
    Chemotherapy-associated steatohepatitis was concomitant with epicardial adipose tissue volume increasing in breast cancer patients who received neoadjuvant chemotherapy.
    Eur Radiol. 2022 Apr 8. pii: 10.1007/s00330-022-08581.
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  181. EIFER M, Pinian H, Klang E, Alhoubani Y, et al
    FDG PET/CT radiomics as a tool to differentiate between reactive axillary lymphadenopathy following COVID-19 vaccination and metastatic breast cancer axillary lymphadenopathy: a pilot study.
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  182. BHALUDIN BN, Tunariu N, Koh DM, Messiou C, et al
    A review on the added value of whole-body MRI in metastatic lobular breast cancer.
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  183. HUANG JX, Lin SY, Ou Y, Shi CG, et al
    Combining conventional ultrasound and sonoelastography to predict axillary status after neoadjuvant chemotherapy for breast cancer.
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  184. MARTINIUSSEN MA, Sagstad S, Larsen M, Larsen ASF, et al
    Screen-detected and interval breast cancer after concordant and discordant interpretations in a population based screening program using independent double reading.
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  185. ZHU Y, O'Connell AM, Ma Y, Liu A, et al
    Dedicated breast CT: state of the art-Part II. Clinical application and future outlook.
    Eur Radiol. 2022;32:2286-2300.
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    March 2022
  186. DU S, Gao S, Zhao R, Liu H, et al
    Contrast-free MRI quantitative parameters for early prediction of pathological response to neoadjuvant chemotherapy in breast cancer.
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  187. MANN RM, Athanasiou A, Baltzer PAT, Camps-Herrero J, et al
    Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI).
    Eur Radiol. 2022 Mar 8. pii: 10.1007/s00330-022-08617.
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  188. LINCK PA, Garnier C, Depetiteville MP, MacGrogan G, et al
    Impact of the COVID-19 lockdown in France on the diagnosis and staging of breast cancers in a tertiary cancer centre.
    Eur Radiol. 2022;32:1644-1651.
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  189. YI C, Tang Y, Ouyang R, Zhang Y, et al
    The added value of an artificial intelligence system in assisting radiologists on indeterminate BI-RADS 0 mammograms.
    Eur Radiol. 2022;32:1528-1537.
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  190. LI JW, Cao YC, Zhao ZJ, Shi ZT, et al
    Prediction for pathological and immunohistochemical characteristics of triple-negative invasive breast carcinomas: the performance comparison between quantitative and qualitative sonographic feature analysis.
    Eur Radiol. 2022;32:1590-1600.
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  191. YI Z, Xie M, Shi G, Cheng Z, et al
    Assessment of quantitative dynamic contrast-enhanced MRI in distinguishing different histologic grades of breast phyllode tumor.
    Eur Radiol. 2022;32:1601-1610.
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  192. BRANCATO B, Peruzzi F, Saieva C, Schiaffino S, et al
    Mammography self-evaluation online test for screening readers: an Italian Society of Medical Radiology (SIRM) initiative.
    Eur Radiol. 2022;32:1624-1633.
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    February 2022
  193. GWEON HM, Eun NL, Youk JH, Jeong J, et al
    Added value of abbreviated breast magnetic resonance imaging for assessing suspicious microcalcification on screening mammography-a prospective study.
    Eur Radiol. 2022;32:815-821.
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  194. MACKENZIE A, Thomson EL, Mitchell M, Elangovan P, et al
    Virtual clinical trial to compare cancer detection using combinations of 2D mammography, digital breast tomosynthesis and synthetic 2D imaging.
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    January 2022
  195. KELAHAN LC, Kim D, Soliman M, Avery RJ, et al
    Role of hepatic metastatic lesion size on inter-reader reproducibility of CT-based radiomics features.
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  196. XU H, Liu J, Chen Z, Wang C, et al
    Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
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  197. MAO N, Shi Y, Lian C, Wang Z, et al
    Intratumoral and peritumoral radiomics for preoperative prediction of neoadjuvant chemotherapy effect in breast cancer based on contrast-enhanced spectral mammography.
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  198. KIM JH, Park VY, Shin HJ, Kim MJ, et al
    Ultrafast dynamic contrast-enhanced breast MRI: association with pathologic complete response in neoadjuvant treatment of breast cancer.
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  199. HOTTAT NA, Badr DA, Lecomte S, Besse-Hammer T, et al
    Value of diffusion-weighted MRI in predicting early response to neoadjuvant chemotherapy of breast cancer: comparison between ROI-ADC and whole-lesion-ADC measurements.
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  200. CANELO-AYBAR C, Taype-Rondan A, Zafra-Tanaka JH, Rigau D, et al
    Correction to: Preoperative breast magnetic resonance imaging in patients with ductal carcinoma in situ: a systematic review for the European Commission Initiative on Breast Cancer (ECIBC).
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  201. HUANG F, Brezden-Masley C, Chan KKW, Barfett JJ, et al
    Evaluation of left atrial remodeling using cardiovascular magnetic resonance imaging in breast cancer patients treated with adjuvant trastuzumab.
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  202. KIM J, Han BK, Ko EY, Ko ES, et al
    Prediction of pathologic complete response on MRI in patients with breast cancer receiving neoadjuvant chemotherapy according to molecular subtypes.
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  203. CLAUSER P, Baltzer PAT, Kapetas P, Woitek R, et al
    One view or two views for wide-angle tomosynthesis with synthetic mammography in the assessment setting?
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  204. WANG S, Sun Y, Li R, Mao N, et al
    Diagnostic performance of perilesional radiomics analysis of contrast-enhanced mammography for the differentiation of benign and malignant breast lesions.
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  205. CRIVELLARO P, Tafur M, George R, Muradali D, et al
    Diagnostic interval for non-screening patients undergoing mammography during the COVID-19 pandemic.
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    December 2021
  206. PELISSIER M, Ambarki K, Salleron J, Henrot P, et al
    Maximum slope using ultrafast breast DCE-MRI at 1.5 Tesla: a potential tool for predicting breast lesion aggressiveness.
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  207. BACKMANN HA, Larsen M, Danielsen AS, Hofvind S, et al
    Does it matter for the radiologists' performance whether they read short or long batches in organized mammographic screening?
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    Effectiveness of percutaneous vacuum-assisted excision (VAE) of breast lesions of uncertain malignant potential (B3 lesions) as an alternative to open surgical biopsy.
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    November 2021
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    October 2021
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