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Articles published in
Eur Radiol
    November 2017
  1. 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
  2. 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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  3. 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
  4. 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
  5. 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
  6. 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
  7. 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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  8. 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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  9. 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
  10. 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
  11. 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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  12. 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
  13. 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
  14. 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
  15. 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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  16. 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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  17. 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
  18. 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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  19. 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
  20. 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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  21. 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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  22. 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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