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Articles published in
Eur Radiol
    May 2018
  1. MALL S, Noakes J, Kossoff M, Lee W, et al
    Can digital breast tomosynthesis perform better than standard digital mammography work-up in breast cancer assessment clinic?
    Eur Radiol. 2018 May 30. pii: 10.1007/s00330-018-5473.
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  2. CHEN BB, Lu YS, Yu CW, Lin CH, et al
    Imaging biomarkers from multiparametric magnetic resonance imaging are associated with survival outcomes in patients with brain metastases from breast cancer.
    Eur Radiol. 2018 May 16. pii: 10.1007/s00330-018-5448.
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  3. VAN DER VELDEN BHM, Sutton EJ, Carbonaro LA, Pijnappel RM, et al
    Contralateral parenchymal enhancement on dynamic contrast-enhanced MRI reproduces as a biomarker of survival in ER-positive/HER2-negative breast cancer patients.
    Eur Radiol. 2018 May 7. pii: 10.1007/s00330-018-5470.
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    April 2018
  4. KIM JY, Kim JJ, Kim S, Choo KS, et al
    Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.
    Eur Radiol. 2018 Apr 30. pii: 10.1007/s00330-018-5429.
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  5. KIM WH, Cho N, Kim YS, Yi A, et al
    Mammographic density changes following discontinuation of tamoxifen in premenopausal women with oestrogen receptor-positive breast cancer.
    Eur Radiol. 2018 Apr 6. pii: 10.1007/s00330-017-5293.
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    March 2018
  6. SANABRIA SJ, Goksel O, Martini K, Forte S, et al
    Breast-density assessment with hand-held ultrasound: A novel biomarker to assess breast cancer risk and to tailor screening?
    Eur Radiol. 2018 Mar 19. pii: 10.1007/s00330-017-5287.
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  7. KIM SY, Shin J, Kim DH, Kim EK, et al
    Correlation between electrical conductivity and apparent diffusion coefficient in breast cancer: effect of necrosis on magnetic resonance imaging.
    Eur Radiol. 2018 Mar 6. pii: 10.1007/s00330-017-5291.
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    January 2018
  8. KIM SY, Cho N, Shin SU, Lee HB, et al
    Contrast-enhanced MRI after neoadjuvant chemotherapy of breast cancer: lesion-to-background parenchymal signal enhancement ratio for discriminating pathological complete response from minimal residual tumour.
    Eur Radiol. 2018 Jan 29. pii: 10.1007/s00330-017-5251.
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  9. LI X, Gao H, Chen Z, Zhang L, et al
    Diagnosis of breast cancer based on microcalcifications using grating-based phase contrast CT.
    Eur Radiol. 2018 Jan 26. pii: 10.1007/s00330-017-5158.
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  10. HORVAT JV, Durando M, Milans S, Patil S, et al
    Apparent diffusion coefficient mapping using diffusion-weighted MRI: impact of background parenchymal enhancement, amount of fibroglandular tissue and menopausal status on breast cancer diagnosis.
    Eur Radiol. 2018 Jan 12. pii: 10.1007/s00330-017-5202.
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    December 2017
  11. RODRIGUEZ-RUIZ A, Gubern-Merida A, Imhof-Tas M, Lardenoije S, et al
    One-view digital breast tomosynthesis as a stand-alone modality for breast cancer detection: do we need more?
    Eur Radiol. 2017 Dec 11. pii: 10.1007/s00330-017-5167.
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    November 2017
  12. MOSHINA N, Roman M, Waade GG, Sebuodegard S, et al
    Breast compression parameters and mammographic density in the Norwegian Breast Cancer Screening Programme.
    Eur Radiol. 2017 Nov 2. doi: 10.1007/s00330-017-5104.
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    October 2017
  13. ZHAO J, Zhang J, Zhu QL, Jiang YX, et al
    The value of contrast-enhanced ultrasound for sentinel lymph node identification and characterisation in pre-operative breast cancer patients: A prospective study.
    Eur Radiol. 2017 Oct 20. doi: 10.1007/s00330-017-5089.
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  14. GIROMETTI R, Zanotel M, Londero V, Linda A, et al
    Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging.
    Eur Radiol. 2017 Oct 10. doi: 10.1007/s00330-017-5074.
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    August 2017
  15. DONG Y, Feng Q, Yang W, Lu Z, et al
    Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI.
    Eur Radiol. 2017 Aug 21. doi: 10.1007/s00330-017-5005.
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    July 2017
  16. WIENBECK S, Uhlig J, Luftner-Nagel S, Zapf A, et al
    The role of cone-beam breast-CT for breast cancer detection relative to breast density.
    Eur Radiol. 2017 Jul 4. doi: 10.1007/s00330-017-4911.
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    June 2017
  17. SONG SE, Park EK, Cho KR, Seo BK, et al
    Additional value of diffusion-weighted imaging to evaluate multifocal and multicentric breast cancer detected using pre-operative breast MRI.
    Eur Radiol. 2017 Jun 7. doi: 10.1007/s00330-017-4898.
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    May 2017
  18. KRAMMER J, Price ER, Jochelson MS, Watson E, et al
    Breast MR imaging for the assessment of residual disease following initial surgery for breast cancer with positive margins.
    Eur Radiol. 2017 May 31. doi: 10.1007/s00330-017-4823.
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  19. HENDERSON S, Purdie C, Michie C, Evans A, et al
    Interim heterogeneity changes measured using entropy texture features on T2-weighted MRI at 3.0 T are associated with pathological response to neoadjuvant chemotherapy in primary breast cancer.
    Eur Radiol. 2017 May 18. doi: 10.1007/s00330-017-4850.
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  20. TIAN F, Shen G, Deng Y, Diao W, et al
    The accuracy of 18F-FDG PET/CT in predicting the pathological response to neoadjuvant chemotherapy in patients with breast cancer: a meta-analysis and systematic review.
    Eur Radiol. 2017 May 5. doi: 10.1007/s00330-017-4831.
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    March 2017
  21. TIMMERMANS L, Bleyen L, Bacher K, Van Herck K, et al
    Screen-detected versus interval cancers: Effect of imaging modality and breast density in the Flemish Breast Cancer Screening Programme.
    Eur Radiol. 2017 Mar 13. doi: 10.1007/s00330-017-4757.
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    January 2017
  22. GWEON HM, Cho N, Kim SY, Koo HR, et al
    Management for BI-RADS category 3 lesions detected in preoperative breast MR imaging of breast cancer patients.
    Eur Radiol. 2017 Jan 12. doi: 10.1007/s00330-016-4721.
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  23. MAURI G, Sconfienza LM, Pescatori LC, Fedeli MP, et al
    Technical success, technique efficacy and complications of minimally-invasive imaging-guided percutaneous ablation procedures of breast cancer: A systematic review and meta-analysis.
    Eur Radiol. 2017 Jan 3. doi: 10.1007/s00330-016-4668.
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    December 2016
  24. GARCIA-VELLOSO MJ, Ribelles MJ, Rodriguez M, Fernandez-Montero A, et al
    MRI fused with prone FDG PET/CT improves the primary tumour staging of patients with breast cancer.
    Eur Radiol. 2016 Dec 21. doi: 10.1007/s00330-016-4685.
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    November 2016
  25. SARDANELLI F, Aase HS, Alvarez M, Azavedo E, et al
    Position paper on screening for breast cancer by the European Society of Breast Imaging (EUSOBI) and 30 national breast radiology bodies from Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Denmark, Estonia, Finland, Franc
    Eur Radiol. 2016.
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    October 2016
  26. HAMMER MM, Mortani Barbosa EJ Jr
    Predictive factors for malignancy in incidental pulmonary nodules detected in breast cancer patients at baseline CT.
    Eur Radiol. 2016.
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  27. BEDAIR R, Priest AN, Patterson AJ, McLean MA, et al
    Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations.
    Eur Radiol. 2016.
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  28. GRIMM LJ, Johnson DY, Johnson KS, Baker JA, et al
    Suspicious breast calcifications undergoing stereotactic biopsy in women ages 70 and over: Breast cancer incidence by BI-RADS descriptors.
    Eur Radiol. 2016.
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    September 2016
  29. MINARIKOVA L, Bogner W, Pinker K, Valkovic L, et al
    Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer.
    Eur Radiol. 2016.
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  30. BITENCOURT AG, Lima EN, Macedo BR, Conrado JL, et al
    Can positron emission mammography help to identify clinically significant breast cancer in women with suspicious calcifications on mammography?
    Eur Radiol. 2016.
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    May 2016
  31. DRISIS S, Metens T, Ignatiadis M, Stathopoulos K, et al
    Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer: the impact of breast cancer subtypes on the diagnostic accuracy.
    Eur Radiol. 2016;26:1474-84.
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  32. GRUBER S, Minarikova L, Pinker K, Zaric O, et al
    Diffusion-weighted imaging of breast tumours at 3 Tesla and 7 Tesla: a comparison.
    Eur Radiol. 2016;26:1466-73.
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  33. ROMINGER M, Berg D, Frauenfelder T, Ramaswamy A, et al
    Which factors influence MRI-pathology concordance of tumour size measurements in breast cancer?
    Eur Radiol. 2016;26:1457-65.
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