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Articles published in
Eur Radiol
    August 2021
  1. RAHBAR H, Tjoe JA
    Breast MRI in the setting of DCIS: quality trials are still needed to determine its value.
    Eur Radiol. 2021;31:5877-5879.
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  2. POTSCH N, Dietzel M, Kapetas P, Clauser P, et al
    An A.I. classifier derived from 4D radiomics of dynamic contrast-enhanced breast MRI data: potential to avoid unnecessary breast biopsies.
    Eur Radiol. 2021;31:5866-5876.
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  3. LANG K, Hofvind S, Rodriguez-Ruiz A, Andersson I, et al
    Can artificial intelligence reduce the interval cancer rate in mammography screening?
    Eur Radiol. 2021;31:5940-5947.
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  4. DE MARGERIE-MELLON C, Debry JB, Dupont A, Cuvier C, et al
    Nonpalpable breast lesions: impact of a second-opinion review at a breast unit on BI-RADS classification.
    Eur Radiol. 2021;31:5913-5923.
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    July 2021
  5. LEE JY, Lee KS, Seo BK, Cho KR, et al
    Radiomic machine learning for predicting prognostic biomarkers and molecular subtypes of breast cancer using tumor heterogeneity and angiogenesis properties on MRI.
    Eur Radiol. 2021 Jul 5. pii: 10.1007/s00330-021-08146.
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  6. KRUG KB, Burke CJ, Weiss K, Baltzer PAT, et al
    Influence of aging and gadolinium exposure on T1, T2, and T2*-relaxation in healthy women with an increased risk of breast cancer with and without prior exposure to gadoterate meglumine at 3.0-T brain MR imaging.
    Eur Radiol. 2021 Jul 3. pii: 10.1007/s00330-021-08069.
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  7. BOITA J, van Engen RE, Mackenzie A, Tingberg A, et al
    How does image quality affect radiologists' perceived ability for image interpretation and lesion detection in digital mammography?
    Eur Radiol. 2021;31:5335-5343.
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  8. LAMBERT J, Steelandt T, Heywang-Kobrunner SH, Gieraerts K, et al
    Long-term MRI-guided vacuum-assisted breast biopsy results of 600 single-center procedures.
    Eur Radiol. 2021;31:4886-4897.
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  9. DONG F, She R, Cui C, Shi S, et al
    One step further into the blackbox: a pilot study of how to build more confidence around an AI-based decision system of breast nodule assessment in 2D ultrasound.
    Eur Radiol. 2021;31:4991-5000.
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  10. PERRE SV, Duron L, Milon A, Bekhouche A, et al
    Radiomic analysis of HTR-DCE MR sequences improves diagnostic performance compared to BI-RADS analysis of breast MR lesions.
    Eur Radiol. 2021;31:4848-4859.
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    June 2021
  11. JIN L, Wang R, Zhuang L, Jin Y, et al
    Evaluation of whole axillary status with lymphatic contrast-enhanced ultrasound in patients with breast cancer.
    Eur Radiol. 2021 Jun 24. pii: 10.1007/s00330-021-08100.
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  12. POSSO M, Alcantara R, Vazquez I, Comerma L, et al
    Mammographic features of benign breast lesions and risk of subsequent breast cancer in women attending breast cancer screening.
    Eur Radiol. 2021 Jun 22. pii: 10.1007/s00330-021-08118.
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  13. COOPER JA, Jenkinson D, Stinton C, Wallis MG, et al
    Optimising breast cancer screening reading: blinding the second reader to the first reader's decisions.
    Eur Radiol. 2021 Jun 12. pii: 10.1007/s00330-021-07965.
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  14. SCHAFGEN B, Juskic M, Radicke M, Hertel M, et al
    Evaluation of the FUSION-X-US-II prototype to combine automated breast ultrasound and tomosynthesis.
    Eur Radiol. 2021;31:3712-3720.
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    May 2021
  15. CANELO-AYBAR C, Taype-Rondan A, Zafra-Tanaka JH, Rigau D, et al
    Preoperative breast magnetic resonance imaging in patients with ductal carcinoma in situ: a systematic review for the European Commission Initiative on Breast Cancer (ECIBC).
    Eur Radiol. 2021 May 30. pii: 10.1007/s00330-021-07873.
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  16. COHEN EO, Perry RE, Tso HH, Phalak KA, et al
    Breast cancer screening in women with and without implants: retrospective study comparing digital mammography to digital mammography combined with digital breast tomosynthesis.
    Eur Radiol. 2021 May 20. pii: 10.1007/s00330-021-08040.
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  17. BUUS TW, Rasmussen F, Nellemann HM, Logager V, et al
    Comparison of contrast-enhanced CT, dual-layer detector spectral CT, and whole-body MRI in suspected metastatic breast cancer: a prospective diagnostic accuracy study.
    Eur Radiol. 2021 May 18. pii: 10.1007/s00330-021-08041.
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  18. MARTIN E, Boudier J, Salleron J, Henrot P, et al
    Synchronous BI-RADS category 3 lesions detected by preoperative breast MRI in patients with breast cancer: may follow-up be adequate?
    Eur Radiol. 2021 May 15. pii: 10.1007/s00330-021-07983.
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  19. HU Y, Zhan C, Yang Z, Zhang X, et al
    Accelerating acquisition of readout-segmented echo planar imaging with a simultaneous multi-slice (SMS) technique for diagnosing breast lesions.
    Eur Radiol. 2021;31:2667-2676.
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  20. MONTEMEZZI S, Cardano G, Storer S, Cardobi N, et al
    MRI-guided breast biopsy based on diffusion-weighted imaging: a feasibility study.
    Eur Radiol. 2021;31:2645-2656.
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  21. GOH Y, Chan CW, Pillay P, Lee HS, et al
    Architecture distortion score (ADS) in malignancy risk stratification of architecture distortion on contrast-enhanced digital mammography.
    Eur Radiol. 2021;31:2657-2666.
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    April 2021
  22. BRUCKMANN NM, Kirchner J, Umutlu L, Fendler WP, et al
    Prospective comparison of the diagnostic accuracy of 18F-FDG PET/MRI, MRI, CT, and bone scintigraphy for the detection of bone metastases in the initial staging of primary breast cancer patients.
    Eur Radiol. 2021 Apr 28. pii: 10.1007/s00330-021-07956.
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  23. MA Y, Liu A, O'Connell AM, Zhu Y, et al
    Contrast-enhanced cone beam breast CT features of breast cancers: correlation with immunohistochemical receptors and molecular subtypes.
    Eur Radiol. 2021;31:2580-2589.
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  24. CHOI WJ, Han K, Shin HJ, Lee J, et al
    Calcifications with suspicious morphology at mammography: should they all be considered with the same clinical significance?
    Eur Radiol. 2021;31:2529-2538.
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    March 2021
  25. CHOI WJ, Kim SH, Shin HJ, Bang M, et al
    Automated breast US as the primary screening test for breast cancer among East Asian women aged 40-49 years: a multicenter prospective study.
    Eur Radiol. 2021 Mar 29. pii: 10.1007/s00330-021-07864.
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  26. EUN NL, Kang D, Son EJ, Youk JH, et al
    Texture analysis using machine learning-based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy.
    Eur Radiol. 2021 Mar 10. pii: 10.1007/s00330-021-07816.
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  27. TASKIN F, Kalayci CB, Tuncbilek N, Soydemir E, et al
    The value of MRI contrast enhancement in biopsy decision of suspicious mammographic microcalcifications: a prospective multicenter study.
    Eur Radiol. 2021;31:1718-1726.
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  28. PARK KW, Park S, Shon I, Kim MJ, et al
    Non-mass lesions detected by breast US: stratification of cancer risk for clinical management.
    Eur Radiol. 2021;31:1693-1706.
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  29. LANG K, Dustler M, Dahlblom V, Akesson A, et al
    Identifying normal mammograms in a large screening population using artificial intelligence.
    Eur Radiol. 2021;31:1687-1692.
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    February 2021
  30. ZHANG X, Yang Z, Cui W, Zheng C, et al
    Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer.
    Eur Radiol. 2021 Feb 10. pii: 10.1007/s00330-020-07674.
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  31. AVENDANO D, Marino MA, Onishi N, Leithner D, et al
    Can Follow-up be Avoided for Probably Benign US Masses with No Enhancement on MRI?
    Eur Radiol. 2021;31:975-982.
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  32. FROELICH MF, Kaiser CG
    Cost-effectiveness of MR-mammography as a solitary imaging technique in women with dense breasts: an economic evaluation of the prospective TK-Study.
    Eur Radiol. 2021;31:967-974.
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  33. LIN X, Jia M, Zhou X, Bao L, et al
    The diagnostic performance of automated versus handheld breast ultrasound and mammography in symptomatic outpatient women: a multicenter, cross-sectional study in China.
    Eur Radiol. 2021;31:947-957.
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  34. MOLLOI S, Ding H, Cho HM, Beidokhti D, et al
    Quantification of water and lipid density with dual-energy mammography: validation in postmortem breasts.
    Eur Radiol. 2021;31:938-946.
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  35. LUCIONI M, Rossi C, Lomoro P, Ballati F, et al
    Positive predictive value for malignancy of uncertain malignant potential (B3) breast lesions diagnosed on vacuum-assisted biopsy (VAB): is surgical excision still recommended?
    Eur Radiol. 2021;31:920-927.
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  36. REBELLA G, Romano N, Silvestri G, Ravetti JL, et al
    Calcified brain metastases may be more frequent than normally considered.
    Eur Radiol. 2021;31:650-657.
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    January 2021
  37. HAO Y, Sun Y, Lei Y, Zhao H, et al
    Percutaneous Sonazoid-enhanced ultrasonography combined with in vitro verification for detection and characterization of sentinel lymph nodes in early breast cancer.
    Eur Radiol. 2021 Jan 27. pii: 10.1007/s00330-020-07639.
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  38. LIU H, Chen Y, Zhang Y, Wang L, et al
    A deep learning model integrating mammography and clinical factors facilitates the malignancy prediction of BI-RADS 4 microcalcifications in breast cancer screening.
    Eur Radiol. 2021 Jan 26. pii: 10.1007/s00330-020-07659.
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  39. KIM JJ, Kim JY
    Fusion of high b-value diffusion-weighted and unenhanced T1-weighted images to diagnose invasive breast cancer: factors associated with false-negative results.
    Eur Radiol. 2021 Jan 14. pii: 10.1007/s00330-020-07644.
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  40. ROMAN M, Louro J, Posso M, Alcantara R, et al
    Breast density, benign breast disease, and risk of breast cancer over time.
    Eur Radiol. 2021 Jan 6. pii: 10.1007/s00330-020-07490.
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  41. DAIMIEL NARANJO I, Lo Gullo R, Saccarelli C, Thakur SB, et al
    Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI.
    Eur Radiol. 2021;31:356-367.
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  42. NISSAN N, Sandler I, Eifer M, Eshet Y, et al
    Physiologic and hypermetabolic breast 18-F FDG uptake on PET/CT during lactation.
    Eur Radiol. 2021;31:163-170.
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  43. DONG Y, Liu Y, Chen J, Li W, et al
    Comparison of postoperative CT- and preoperative MRI-based breast tumor bed contours in prone position for radiotherapy after breast-conserving surgery.
    Eur Radiol. 2021;31:345-355.
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    December 2020
  44. CHEUNG SM, Husain E, Mallikourti V, Masannat Y, et al
    Intra-tumoural lipid composition and lymphovascular invasion in breast cancer via non-invasive magnetic resonance spectroscopy.
    Eur Radiol. 2020 Dec 3. pii: 10.1007/s00330-020-07502.
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  45. RAGUSI MAA, Loo CE, van der Velden BHM, Wesseling J, et al
    Contralateral parenchymal enhancement on breast MRI before and during neoadjuvant endocrine therapy in relation to the preoperative endocrine prognostic index.
    Eur Radiol. 2020;30:6740-6748.
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  46. LO GULLO R, Daimiel I, Rossi Saccarelli C, Bitencourt A, et al
    Improved characterization of sub-centimeter enhancing breast masses on MRI with radiomics and machine learning in BRCA mutation carriers.
    Eur Radiol. 2020;30:6721-6731.
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    November 2020
  47. LIU Z, Li X, Feng B, Li C, et al
    MIP image derived from abbreviated breast MRI: potential to reduce unnecessary sub-nipple biopsies during nipple-sparing mastectomy for breast cancer.
    Eur Radiol. 2020 Nov 27. pii: 10.1007/s00330-020-07550.
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  48. JIANG M, Zhang D, Tang SC, Luo XM, et al
    Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study.
    Eur Radiol. 2020 Nov 23. pii: 10.1007/s00330-020-07544.
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  49. TSURUDA KM, Hovda T, Bhargava S, Veierod MB, et al
    Survival among women diagnosed with screen-detected or interval breast cancer classified as true, minimal signs, or missed through an informed radiological review.
    Eur Radiol. 2020 Nov 12. pii: 10.1007/s00330-020-07340.
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  50. KIM G, Mikhael PG, Oseni TO, Bahl M, et al
    Ductal carcinoma in situ on digital mammography versus digital breast tomosynthesis: rates and predictors of pathologic upgrade.
    Eur Radiol. 2020;30:6089-6098.
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  51. WANG J, Chien N, Lee HT
    Clip migration after stereotactic vacuum-assisted breast biopsy with the patient in the decubitus position.
    Eur Radiol. 2020;30:6080-6088.
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  52. YOON JH, Kim EK, Kim GR, Han K, et al
    Comparing recall rates following implementation of digital breast tomosynthesis to synthetic 2D images and digital mammography on women with breast-conserving surgery.
    Eur Radiol. 2020;30:6072-6079.
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  53. ZHANG Z, Wang W, Wang X, Yu X, et al
    Breast-specific gamma imaging or ultrasonography as adjunct imaging diagnostics in women with mammographically dense breasts.
    Eur Radiol. 2020;30:6062-6071.
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  54. MILOS RI, Pipan F, Kalovidouri A, Clauser P, et al
    The Kaiser score reliably excludes malignancy in benign contrast-enhancing lesions classified as BI-RADS 4 on breast MRI high-risk screening exams.
    Eur Radiol. 2020;30:6052-6061.
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    October 2020
  55. ZHANG Y, Chen JH, Lin Y, Chan S, et al
    Prediction of breast cancer molecular subtypes on DCE-MRI using convolutional neural network with transfer learning between two centers.
    Eur Radiol. 2020 Oct 1. pii: 10.1007/s00330-020-07274.
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  56. HOVDA T, Tsuruda K, Hoff SR, Sahlberg KK, et al
    Radiological review of prior screening mammograms of screen-detected breast cancer.
    Eur Radiol. 2020 Oct 1. pii: 10.1007/s00330-020-07130.
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  57. SARDANELLI F, Trimboli RM, Houssami N, Gilbert FJ, et al
    Solving the preoperative breast MRI conundrum: design and protocol of the MIPA study.
    Eur Radiol. 2020;30:5427-5436.
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    September 2020
  58. BLANKS RG, Wallis MG, Alison RJ, Given-Wilson RM, et al
    An analysis of screen-detected invasive cancers by grade in the English breast cancer screening programme: are we failing to detect sufficient small grade 3 cancers?
    Eur Radiol. 2020 Sep 30. pii: 10.1007/s00330-020-07276.
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  59. MA L, Lin X, Lai B, Wang W, et al
    Additive value of exposure parameters for breast cancer diagnosis in digital mammography.
    Eur Radiol. 2020 Sep 26. pii: 10.1007/s00330-020-07311.
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  60. MENG N, Wang X, Sun J, Han D, et al
    A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer.
    Eur Radiol. 2020 Sep 4. pii: 10.1007/s00330-020-07169.
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  61. AUTIER P, Burrion JB, Grivegnee AR
    AI for reading screening mammograms: the need for circumspection.
    Eur Radiol. 2020;30:4783-4784.
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  62. JANG HJ, Kim HJ, Chae YS, Lee SJ, et al
    Effect of neoadjuvant chemotherapy on breast tissue composition: a longitudinal mammographic study with automated volumetric measurement.
    Eur Radiol. 2020;30:4785-4794.
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  63. YANG Q, Li H, Chen BH, He GZ, et al
    Ultrasound-guided percutaneous microwave ablation for 755 benign breast lesions: a prospective multicenter study.
    Eur Radiol. 2020;30:5029-5038.
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  64. YANG X, Dong M, Li S, Chai R, et al
    Diffusion-weighted imaging or dynamic contrast-enhanced curve: a retrospective analysis of contrast-enhanced magnetic resonance imaging-based differential diagnoses of benign and malignant breast lesions.
    Eur Radiol. 2020;30:4795-4805.
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    August 2020
  65. GAO Y, Luo Y, Zhao C, Xiao M, et al
    Nomogram based on radiomics analysis of primary breast cancer ultrasound images: prediction of axillary lymph node tumor burden in patients.
    Eur Radiol. 2020 Aug 26. pii: 10.1007/s00330-020-07181.
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  66. YOON B, Chae EY, Cha JH, Shin HJ, et al
    Male patients with unilateral breast symptoms: an optimal imaging approach.
    Eur Radiol. 2020;30:4242-4250.
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    July 2020
  67. CARMONA-BOZO JC, Manavaki R, Woitek R, Torheim T, et al
    Hypoxia and perfusion in breast cancer: simultaneous assessment using PET/MR imaging.
    Eur Radiol. 2020 Jul 28. pii: 10.1007/s00330-020-07067.
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  68. BERTANI V, Urbani M, La Grassa M, Balestreri L, et al
    Atypical ductal hyperplasia: breast DCE-MRI can be used to reduce unnecessary open surgical excision.
    Eur Radiol. 2020;30:4069-4081.
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  69. SHIN SU, Cho N, Kim SY, Lee SH, et al
    Time-to-enhancement at ultrafast breast DCE-MRI: potential imaging biomarker of tumour aggressiveness.
    Eur Radiol. 2020;30:4058-4068.
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    June 2020
  70. MAO N, Yin P, Li Q, Wang Q, et al
    Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study.
    Eur Radiol. 2020 Jun 30. pii: 10.1007/s00330-020-07016.
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  71. SODANO C, Clauser P, Dietzel M, Kapetas P, et al
    Clinical relevance of total choline (tCho) quantification in suspicious lesions on multiparametric breast MRI.
    Eur Radiol. 2020;30:3371-3382.
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  72. DE JONG L, Welleweerd MK, van Zelst JCM, Siepel FJ, et al
    Production and clinical evaluation of breast lesion skin markers for automated three-dimensional ultrasonography of the breast: a pilot study.
    Eur Radiol. 2020;30:3356-3362.
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    May 2020
  73. WANG J, Phi XA, Greuter MJW, Daszczuk AM, et al
    The cost-effectiveness of digital breast tomosynthesis in a population breast cancer screening program.
    Eur Radiol. 2020 May 7. pii: 10.1007/s00330-020-06812.
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  74. ABDOLELL M, Payne JI, Caines J, Tsuruda K, et al
    Assessing breast cancer risk within the general screening population: developing a breast cancer risk model to identify higher risk women at mammographic screening.
    Eur Radiol. 2020 May 1. pii: 10.1007/s00330-020-06901.
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  75. IIMA M, Partridge SC, Le Bihan D
    Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI.
    Eur Radiol. 2020;30:2561-2570.
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  76. PETER SC, Wenkel E, Weiland E, Dietzel M, et al
    Combination of an ultrafast TWIST-VIBE Dixon sequence protocol and diffusion-weighted imaging into an accurate easily applicable classification tool for masses in breast MRI.
    Eur Radiol. 2020;30:2761-2772.
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  77. AMITAI Y, Scaranelo A, Menes TS, Fleming R, et al
    Can breast MRI accurately exclude malignancy in mammographic architectural distortion?
    Eur Radiol. 2020;30:2751-2760.
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  78. QIAN X, Zhang B, Liu S, Wang Y, et al
    A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.
    Eur Radiol. 2020;30:3023-3033.
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    March 2020
  79. ROSSI F, Torri L, Lambertini M, De Giorgis S, et al
    Muscle mass loss after neoadjuvant chemotherapy in breast cancer: estimation on breast magnetic resonance imaging using pectoralis muscle area.
    Eur Radiol. 2020 Mar 31. pii: 10.1007/s00330-020-06799.
    >> Share

  80. SAMIEI S, Smidt ML, Vanwetswinkel S, Engelen SME, et al
    Diagnostic performance of standard breast MRI compared to dedicated axillary MRI for assessment of node-negative and node-positive breast cancer.
    Eur Radiol. 2020 Mar 27. pii: 10.1007/s00330-020-06760.
    >> Share

  81. QI Y, Cui X, Han M, Li R, et al
    Radiomics analysis of lung CT image for the early detection of metastases in patients with breast cancer: preliminary findings from a retrospective cohort study.
    Eur Radiol. 2020 Mar 12. pii: 10.1007/s00330-020-06745.
    >> Share

  82. WENGERT GJ, Pipan F, Almohanna J, Bickel H, et al
    Impact of the Kaiser score on clinical decision-making in BI-RADS 4 mammographic calcifications examined with breast MRI.
    Eur Radiol. 2020;30:1451-1459.
    >> Share

  83. BALTZER P, Mann RM, Iima M, Sigmund EE, et al
    Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group.
    Eur Radiol. 2020;30:1436-1450.
    >> Share

  84. ARBOLEDA C, Wang Z, Jefimovs K, Koehler T, et al
    Towards clinical grating-interferometry mammography.
    Eur Radiol. 2020;30:1419-1425.
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    February 2020
  85. ZHU Y, Zhang Y, Ma Y, Li H, et al
    Correction to: Cone-beam breast CT features associated with HER2/neu overexpression in patients with primary breast cancer.
    Eur Radiol. 2020 Feb 17. pii: 10.1007/s00330-020-06673.
    >> Share

  86. HARADA TL, Uematsu T, Nakashima K, Sugino T, et al
    Is the presence of edema and necrosis on T2WI pretreatment breast MRI the key to predict pCR of triple negative breast cancer?
    Eur Radiol. 2020 Feb 15. pii: 10.1007/s00330-020-06662.
    >> Share

  87. MOON JI, Choi BH, Baek HJ, Ryu KH, et al
    Comprehensive analyses with radiological and biological markers of breast cancer on contrast-enhanced chest CT: a single center experience using dual-layer spectral detector CT.
    Eur Radiol. 2020 Feb 5. pii: 10.1007/s00330-019-06615.
    >> Share

  88. NISSAN N, Allweis T, Menes T, Brodsky A, et al
    Breast MRI during lactation: effects on tumor conspicuity using dynamic contrast-enhanced (DCE) in comparison with diffusion tensor imaging (DTI) parametric maps.
    Eur Radiol. 2020;30:767-777.
    >> Share

  89. ONISHI N, Sadinski M, Gibbs P, Gallagher KM, et al
    Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.
    Eur Radiol. 2020;30:756-766.
    >> Share

    January 2020
  90. LEE SE, Lee JH, Han K, Kim EK, et al
    BI-RADS category 3, 4, and 5 lesions identified at preoperative breast MRI in patients with breast cancer: implications for management.
    Eur Radiol. 2020 Jan 31. pii: 10.1007/s00330-019-06620.
    >> Share

  91. ZHU Y, Zhang Y, Ma Y, Li H, et al
    Cone-beam breast CT features associated with HER2/neu overexpression in patients with primary breast cancer.
    Eur Radiol. 2020 Jan 3. pii: 10.1007/s00330-019-06587.
    >> Share

  92. ALABOUSI M, Zha N, Salameh JP, Samoilov L, et al
    Digital breast tomosynthesis for breast cancer detection: a diagnostic test accuracy systematic review and meta-analysis.
    Eur Radiol. 2020 Jan 3. pii: 10.1007/s00330-019-06549.
    >> Share

    December 2019
  93. CELEBI F, Agacayak F, Ozturk A, Ilgun S, et al
    Usefulness of imaging findings in predicting tumor-infiltrating lymphocytes in patients with breast cancer.
    Eur Radiol. 2019 Dec 10. pii: 10.1007/s00330-019-06516.
    >> Share

  94. EUN NL, Son EJ, Gweon HM, Kim JA, et al
    Prediction of axillary response by monitoring with ultrasound and MRI during and after neoadjuvant chemotherapy in breast cancer patients.
    Eur Radiol. 2019 Dec 4. pii: 10.1007/s00330-019-06539.
    >> Share

    November 2019
  95. HU Z, Cheng X, Li J, Jiang J, et al
    Preliminary study of real-time three-dimensional contrast-enhanced ultrasound of sentinel lymph nodes in breast cancer.
    Eur Radiol. 2019 Nov 27. pii: 10.1007/s00330-019-06494.
    >> Share

  96. BAE SJ, Youk JH, Yoon CI, Park S, et al
    A nomogram constructed using intraoperative ex vivo shear-wave elastography precisely predicts metastasis of sentinel lymph nodes in breast cancer.
    Eur Radiol. 2019 Nov 6. pii: 10.1007/s00330-019-06473.
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    September 2019
  97. RODRIGUEZ-RUIZ A, Lang K, Gubern-Merida A, Teuwen J, et al
    Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study.
    Eur Radiol. 2019;29:4825-4832.
    >> Share

    August 2019
  98. KIM JY, Kim JJ, Hwangbo L, Lee JW, et al
    Diffusion-weighted MRI of estrogen receptor-positive, HER2-negative, node-negative breast cancer: association between intratumoral heterogeneity and recurrence risk.
    Eur Radiol. 2019 Aug 5. pii: 10.1007/s00330-019-06383.
    >> Share

    July 2019
  99. KETTUNEN T, Okuma H, Auvinen P, Sudah M, et al
    Peritumoral ADC values in breast cancer: region of interest selection, associations with hyaluronan intensity, and prognostic significance.
    Eur Radiol. 2019 Jul 29. pii: 10.1007/s00330-019-06361.
    >> Share

  100. BLANKS RG, Given-Wilson RM, Cohen SL, Patnick J, et al
    Correction to: An analysis of 11.3 million screening tests examining the association between recall and cancer detection rates in the English NHS breast cancer screening programme.
    Eur Radiol. 2019 Jul 5. pii: 10.1007/s00330-019-06307.
    >> Share

  101. IOTTI V, Giorgi Rossi P, Nitrosi A, Ravaioli S, et al
    Comparing two visualization protocols for tomosynthesis in screening: specificity and sensitivity of slabs versus planes plus slabs.
    Eur Radiol. 2019;29:3802-3811.
    >> Share

  102. BALLEYGUIER C, Arfi-Rouche J, Boyer B, Gauthier E, et al
    A new automated method to evaluate 2D mammographic breast density according to BI-RADS(R) Atlas Fifth Edition recommendations.
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    June 2019
  103. KOH J, Park AY, Ko KH, Jung HK, et al
    Can enhancement types on preoperative MRI reflect prognostic factors and surgical outcomes in invasive breast cancer?
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    May 2019
  104. HELLGREN RJ, Sundbom AE, Czene K, Izhaky D, et al
    Does three-dimensional functional infrared imaging improve breast cancer detection based on digital mammography in women with dense breasts?
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  105. JEUKENS CRLPN, van Dijk T, Berben C, Wildberger JE, et al
    Evaluation of pressure-controlled mammography compression paddles with respect to force-controlled compression paddles in clinical practice.
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  106. HA SM, Chae EY, Cha JH, Kim HH, et al
    Long-term survival outcomes in invasive lobular carcinoma patients with and without preoperative MR imaging: a matched cohort study.
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  107. CHAE EY, Kim HH, Jeong JW, Chae SH, et al
    Decrease in interpretation time for both novice and experienced readers using a concurrent computer-aided detection system for digital breast tomosynthesis.
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    March 2019
  108. UHLIG J, Uhlig A, Biggemann L, Fischer U, et al
    Diagnostic accuracy of cone-beam breast computed tomography: a systematic review and diagnostic meta-analysis.
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  109. AASE HS, Holen AS, Pedersen K, Houssami N, et al
    A randomized controlled trial of digital breast tomosynthesis versus digital mammography in population-based screening in Bergen: interim analysis of performance indicators from the To-Be trial.
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  110. GOTO M, Sakai K, Yokota H, Kiba M, et al
    Diagnostic performance of initial enhancement analysis using ultra-fast dynamic contrast-enhanced MRI for breast lesions.
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    February 2019
  111. VREEMANN S, Dalmis MU, Bult P, Karssemeijer N, et al
    Amount of fibroglandular tissue FGT and background parenchymal enhancement BPE in relation to breast cancer risk and false positives in a breast MRI screening program : A retrospective cohort study.
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  112. BLANKS RG, Given-Wilson RM, Cohen SL, Patnick J, et al
    An analysis of 11.3 million screening tests examining the association between recall and cancer detection rates in the English NHS breast cancer screening programme.
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    January 2019
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    Radiomic nomogram for prediction of axillary lymph node metastasis in breast cancer.
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  114. FAN M, Zhang P, Wang Y, Peng W, et al
    Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular subtypes of breast cancer.
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    November 2018
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    Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging.
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  116. WARD L, Heller S, Hudson S, Wilkinson L, et al
    Parenchymal pattern in women with dense breasts. Variation with age and impact on screening outcomes: observations from a UK screening programme.
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    October 2018
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    Frequency and characteristics of contralateral breast abnormalities following recall at screening mammography.
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    September 2018
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    What is the diagnostic performance of 18-FDG-PET/MR compared to PET/CT for the N- and M- staging of breast cancer?
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  119. TARON J, Fleischer S, Preibsch H, Nikolaou K, et al
    Background parenchymal enhancement in pregnancy-associated breast cancer: a hindrance to diagnosis?
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  120. BOSS A
    Editorial comment: cone-beam and phase contrast CT: new horizons in breast imaging?
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  121. WIENBECK S, Fischer U, Luftner-Nagel S, Lotz J, et al
    Contrast-enhanced cone-beam breast-CT (CBBCT): clinical performance compared to mammography and MRI.
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    August 2018
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    Feasibility of mapping breast cancer with supine breast MRI in patients scheduled for oncoplastic surgery.
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  123. SUO S, Zhang D, Cheng F, Cao M, et al
    Added value of mean and entropy of apparent diffusion coefficient values for evaluating histologic phenotypes of invasive ductal breast cancer with MR imaging.
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  124. ROSSI F, Valdora F, Barabino E, Calabrese M, et al
    Muscle mass estimation on breast magnetic resonance imaging in breast cancer patients: comparison between psoas muscle area on computer tomography and pectoralis muscle area on MRI.
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    July 2018
  125. VAN ZELST JCM, Tan T, Clauser P, Domingo A, et al
    Dedicated computer-aided detection software for automated 3D breast ultrasound; an efficient tool for the radiologist in supplemental screening of women with dense breasts.
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    June 2018
  126. MATHIEU MC, Toullec A, Benoit C, Berry R, et al
    Preclinical ex vivo evaluation of the diagnostic performance of a new device for in situ label-free fluorescence spectral analysis of breast masses.
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  127. SCHAEFGEN B, Heil J, Barr RG, Radicke M, et al
    Initial results of the FUSION-X-US prototype combining 3D automated breast ultrasound and digital breast tomosynthesis.
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  128. HU Y, Yang Y, Gu R, Jin L, et al
    Does patient age affect the PPV3 of ACR BI-RADS Ultrasound categories 4 and 5 in the diagnostic setting?
    Eur Radiol. 2018;28:2492-2498.
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  129. ROMERO MARTIN S, Raya Povedano JL, Cara Garcia M, Santos Romero AL, et al
    Prospective study aiming to compare 2D mammography and tomosynthesis + synthesized mammography in terms of cancer detection and recall. From double reading of 2D mammography to single reading of tomosynthesis.
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    May 2018
  130. 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?
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  131. 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.
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  132. 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.
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  133. WATANABE G, Itoh M, Duan X, Watabe H, et al
    (18)F-fluorodeoxyglucose specimen-positron emission mammography delineates tumour extension in breast-conserving surgery: Preliminary results.
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    April 2018
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    Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.
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  135. 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
  136. 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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  137. 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
  138. 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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  139. 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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  140. 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
  141. 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
  142. 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
  143. 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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  144. 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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