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Breast Cancer

Free Subscription Articles published in Radiology Retrieve available abstracts of 113 articles: HTML format Text format

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March 2020
1. KIM JY, Kim JJ, Hwangbo L, Suh HB, et al
   Kinetic Heterogeneity of Breast Cancer Determined Using Computer-aided Diagnosis of Preoperative MRI Scans: Relationship to Distant Metastasis-Free Survival.
   Radiology. 2020 Mar 31:192039. doi: 10.1148/radiol.2020192039.
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2. KIM WH, Kim HJ, Park CS, Lee J, et al
   Axillary Nodal Burden Assessed with Pretreatment Breast MRI Is Associated with Failed Sentinel Lymph Node Identification after Neoadjuvant Chemotherapy for Breast Cancer.
   Radiology. 2020 Mar 3:191639. doi: 10.1148/radiol.2020191639.
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   February 2020
3. LEE CI, Lee JM
   Identifying Effective Supplemental Screening Strategies for Women with a Personal History of Breast Cancer.
   Radiology. 2020 Feb 25:200015. doi: 10.1148/radiol.2020200015.
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4. KIM SY, Cho N, Kim SY, Choi Y, et al
   Supplemental Breast US Screening in Women with a Personal History of Breast Cancer: A Matched Cohort Study.
   Radiology. 2020 Feb 25:191691. doi: 10.1148/radiol.2020191691.
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5. HEALY NA, O'Brien A, Knox M, Hargaden G, et al
   Consensus Review of Discordant Imaging Findings after the Introduction of Digital Screening Mammography: Irish National Breast Cancer Screening Program Experience.
   Radiology. 2020 Feb 11:181454. doi: 10.1148/radiol.2020181454.
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6. PARK AY, Han MR, Park KH, Kim JS, et al
   Radiogenomic Analysis of Breast Cancer by Using B-Mode and Vascular US and RNA Sequencing.
   Radiology. 2020 Feb 4:191368. doi: 10.1148/radiol.2020191368.
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   January 2020
7. COOLEN AMP, Korte B, Tjan-Heijnen VCG, Bodewes HW, et al
   Additional Breast Cancer Detection at Digital Screening Mammography through Quality Assurance Sessions between Technologists and Radiologists.
   Radiology. 2020 Jan 7:191388. doi: 10.1148/radiol.2019191388.
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   December 2019
8. BAHL M
   Harnessing the Power of Deep Learning to Assess Breast Cancer Risk.
   Radiology. 2019 Dec 17:192471. doi: 10.1148/radiol.2019192471.
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9. DEMBROWER K, Liu Y, Azizpour H, Eklund M, et al
   Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction.
   Radiology. 2019 Dec 17:190872. doi: 10.1148/radiol.2019190872.
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10. HOVDA T, Holen AS, Lang K, Albertsen JL, et al
    Interval and Consecutive Round Breast Cancer after Digital Breast Tomosynthesis and Synthetic 2D Mammography versus Standard 2D Digital Mammography in BreastScreen Norway.
    Radiology. 2019 Dec 10:191337. doi: 10.1148/radiol.2019191337.
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11. HONG S, Song SY, Park B, Suh M, et al
    Effect of Digital Mammography for Breast Cancer Screening: A Comparative Study of More than 8 Million Korean Women.
    Radiology. 2019 Dec 3:190951. doi: 10.1148/radiol.2019190951.
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    November 2019
12. EUN NL, Kang D, Son EJ, Park JS, et al
    Texture Analysis with 3.0-T MRI for Association of Response to Neoadjuvant Chemotherapy in Breast Cancer.
    Radiology. 2019 Nov 26:182718. doi: 10.1148/radiol.2019182718.
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13. BAE MS
    Using Deep Learning to Predict Axillary Lymph Node Metastasis from US Images of Breast Cancer.
    Radiology. 2019 Nov 19:192339. doi: 10.1148/radiol.2019192339.
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14. ZHOU LQ, Wu XL, Huang SY, Wu GG, et al
    Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.
    Radiology. 2019 Nov 19:190372. doi: 10.1148/radiol.2019190372.
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    October 2019
15. SUMKIN JH, Berg WA, Carter GJ, Bandos AI, et al
    Diagnostic Performance of MRI, Molecular Breast Imaging, and Contrast-enhanced Mammography in Women with Newly Diagnosed Breast Cancer.
    Radiology. 2019 Oct 29:190887. doi: 10.1148/radiol.2019190887.
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16. BENNANI-BAITI B, Krug B, Giese D, Hellmich M, et al
    Evaluation of 3.0-T MRI Brain Signal after Exposure to Gadoterate Meglumine in Women with High Breast Cancer Risk and Screening Breast MRI.
    Radiology. 2019 Oct 22:190847. doi: 10.1148/radiol.2019190847.
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17. AMORNSIRIPANITCH N, Bickelhaupt S, Shin HJ, Dang M, et al
    Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.
    Radiology. 2019 Oct 8:182789. doi: 10.1148/radiol.2019182789.
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    September 2019
18. GAO Y, Goldberg JE, Young TK, Babb JS, et al
    Breast Cancer Screening in High-Risk Men: A 12-Year Longitudinal Observational Study of Male Breast Imaging Utilization and Outcomes.
    Radiology. 2019 Sep 17:190971. doi: 10.1148/radiol.2019190971.
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19. COLIN C, Doutriaux-Dumoulin I
    Breast Cancer Screening in BRCA Mutation Carriers: Necessity of a Relevant Update of Mammographic Modalities.
    Radiology. 2019 Sep 3:191306. doi: 10.1148/radiol.2019191306.
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20. JOHNSON K, Zackrisson S, Rosso A, Sartor H, et al
    Tumor Characteristics and Molecular Subtypes in Breast Cancer Screening with Digital Breast Tomosynthesis: The Malmo Breast Tomosynthesis Screening Trial.
    Radiology. 2019 Sep 3:190132. doi: 10.1148/radiol.2019190132.
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    August 2019
21. SUNG JS, Lebron L, Keating D, D'Alessio D, et al
    Performance of Dual-Energy Contrast-enhanced Digital Mammography for Screening Women at Increased Risk of Breast Cancer.
    Radiology. 2019 Aug 27:182660. doi: 10.1148/radiol.2019182660.
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22. WHITMAN GJ
    Can We Use MRI and US to Predict Axillary Node Response in Breast Cancer?
    Radiology. 2019 Aug 13:191642. doi: 10.1148/radiol.2019191642.
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23. KIM R, Chang JM, Lee HB, Lee SH, et al
    Predicting Axillary Response to Neoadjuvant Chemotherapy: Breast MRI and US in Patients with Node-Positive Breast Cancer.
    Radiology. 2019 Aug 13:190014. doi: 10.1148/radiol.2019190014.
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24. KONTOS D, Conant EF
    Can AI Help Make Screening Mammography "Lean"?
    Radiology. 2019 Aug 6:191542. doi: 10.1148/radiol.2019191542.
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    July 2019
25. MANN RM
    Do We Need Optoacoustic Assessment of Hypoxia to Differentiate Molecular Subtypes of Breast Cancer?
    Radiology. 2019 Jul 9:191263. doi: 10.1148/radiol.2019191263.
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26. SITEK A, Wolfe JM
    Assessing Cancer Risk from Mammograms: Deep Learning Is Superior to Conventional Risk Models.
    Radiology. 2019;292:67-68.
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27. FOWLER AM
    Survival Outcomes for Women with Ductal Carcinoma in Situ in the Era of Supplemental Screening.
    Radiology. 2019;292:49-50.
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    June 2019
28. MANN RM, Pinker K
    Is Background Parenchymal Enhancement an Important Risk Factor for Breast Cancer Development in Women with Increased Risk?
    Radiology. 2019 Jun 25:191164. doi: 10.1148/radiol.2019191164.
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29. THOMPSON CM, Mallawaarachchi I, Dwivedi DK, Ayyappan AP, et al
    The Association of Background Parenchymal Enhancement at Breast MRI with Breast Cancer: A Systematic Review and Meta-Analysis.
    Radiology. 2019 Jun 25:182441. doi: 10.1148/radiol.2019182441.
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30. AKSELROD-BALLIN A, Chorev M, Shoshan Y, Spiro A, et al
    Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.
    Radiology. 2019 Jun 18:182622. doi: 10.1148/radiol.2019182622.
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31. JOE BN, Hayward JH
    More Lives Risked with Risk-based versus Age-based Breast Cancer Screening.
    Radiology. 2019 Jun 11:191040. doi: 10.1148/radiol.2019191040.
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32. WERNLI KJ, Ichikawa L, Kerlikowske K, Buist DSM, et al
    Surveillance Breast MRI and Mammography: Comparison in Women with a Personal History of Breast Cancer.
    Radiology. 2019 Jun 4:182475. doi: 10.1148/radiol.2019182475.
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33. NEWELL MS
    Risk versus Benefit of Surveillance Breast MRI: A Sticky Wicket.
    Radiology. 2019 Jun 4:190991. doi: 10.1148/radiol.2019190991.
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    May 2019
34. EBY PR
    Breast Cancer: Let Imaging Be Our Guide and Improving Patient Outcomes Be Our Goal.
    Radiology. 2019 May 28:190949. doi: 10.1148/radiol.2019190949.
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35. ROSENBERG RD, Seidenwurm D
    Optimizing Breast Cancer Screening Programs: Experience and Structures.
    Radiology. 2019 May 28:190924. doi: 10.1148/radiol.2019190924.
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36. HA SM, Cha JH, Shin HJ, Chae EY, et al
    Mammography, US, and MRI to Assess Outcomes of Invasive Breast Cancer with Extensive Intraductal Component: A Matched Cohort Study.
    Radiology. 2019 May 28:182762. doi: 10.1148/radiol.2019182762.
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37. KORHONEN KE, Conant EF, Cohen EA, Synnestvedt M, et al
    Breast Cancer Conspicuity on Simultaneously Acquired Digital Mammographic Images versus Digital Breast Tomosynthesis Images.
    Radiology. 2019 May 14:182027. doi: 10.1148/radiol.2019182027.
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38. YALA A, Lehman C, Schuster T, Portnoi T, et al
    A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction.
    Radiology. 2019 May 7:182716. doi: 10.1148/radiol.2019182716.
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39. SIPPO DA, Burk KS, Mercaldo SF, Rutledge GM, et al
    Performance of Screening Breast MRI across Women with Different Elevated Breast Cancer Risk Indications.
    Radiology. 2019 May 7:181136. doi: 10.1148/radiol.2019181136.
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    April 2019
40. CHOI SH, Choi JS, Han BK, Ko EY, et al
    Long-term Surveillance of Ductal Carcinoma in Situ Detected with Screening Mammography versus US: Factors Associated with Second Breast Cancer.
    Radiology. 2019 Apr 30:181844. doi: 10.1148/radiol.2019181844.
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41. MOY L
    Is Digital Breast Tomosynthesis the Better Mammogram for Local Breast Cancer Staging?
    Radiology. 2019 Apr 9:190590. doi: 10.1148/radiol.2019190590.
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42. FONTAINE M, Tourasse C, Pages E, Laurent N, et al
    Local Tumor Staging of Breast Cancer: Digital Mammography versus Digital Mammography Plus Tomosynthesis.
    Radiology. 2019 Apr 9:182457. doi: 10.1148/radiol.2019182457.
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43. PARTRIDGE SC, Newitt DC, Chenevert TL, Rosen MA, et al
    Diffusion-weighted MRI in Multicenter Trials of Breast Cancer.
    Radiology. 2019 Apr 2:190446. doi: 10.1148/radiol.2019190446.
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44. LANG K
    The Coming of Age of Breast Tomosynthesis in Screening.
    Radiology. 2019;291:31-33.
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    March 2019
45. TAOUREL P
    Diffusion-weighted MRI for Breast Cancer: Why and with What Impact?
    Radiology. 2019 Mar 12:190331. doi: 10.1148/radiol.2019190331.
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46. KIM JY, Kim JJ, Hwangbo L, Kang T, et al
    Diffusion-weighted Imaging of Invasive Breast Cancer: Relationship to Distant Metastasis-free Survival.
    Radiology. 2019 Mar 12:181706. doi: 10.1148/radiol.2019181706.
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    February 2019
47. SKAANE P, Bandos AI, Niklason LT, Sebuodegard S, et al
    Digital Mammography versus Digital Mammography Plus Tomosynthesis in Breast Cancer Screening: The Oslo Tomosynthesis Screening Trial.
    Radiology. 2019 Feb 19:182394. doi: 10.1148/radiol.2019182394.
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48. LI H, Mendel KR, Lan L, Sheth D, et al
    Digital Mammography in Breast Cancer: Additive Value of Radiomics of Breast Parenchyma.
    Radiology. 2019 Feb 12:181113. doi: 10.1148/radiol.2019181113.
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49. SHAFFER K
    Mammographic Parenchymal Analysis: Can We Do Better with Digital Assistance?
    Radiology. 2019 Feb 12:190085. doi: 10.1148/radiol.2019190085.
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50. MAURI G, Sconfienza LM, Sardanelli F
    Imaging-guided Percutaneous Ablation: A Step Forward to Minimize the Invasiveness of Breast Cancer Treatment.
    Radiology. 2019 Feb 5:182448. doi: 10.1148/radiol.2019182448.
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    December 2018
51. BLANKS RG, Wallis MG, Alison R, Kearins O, et al
    Impact of Digital Mammography on Cancer Detection and Recall Rates: 11.3 Million Screening Episodes in the English National Health Service Breast Cancer Screening Program.
    Radiology. 2018 Dec 11:181426. doi: 10.1148/radiol.2018181426.
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52. LEE CI, Lee JM
    Impact of New Technology Adoption on Breast Cancer Screening.
    Radiology. 2018 Dec 11:182476. doi: 10.1148/radiol.2018182476.
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    November 2018
53. RODRIGUEZ-RUIZ A, Krupinski E, Mordang JJ, Schilling K, et al
    Detection of Breast Cancer with Mammography: Effect of an Artificial Intelligence Support System.
    Radiology. 2018 Nov 20:181371. doi: 10.1148/radiol.2018181371.
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    October 2018
54. PINKER K
    Beyond Breast Density: Radiomic Phenotypes Enhance Assessment of Breast Cancer Risk.
    Radiology. 2018 Oct 30:182296. doi: 10.1148/radiol.2018182296.
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55. KONTOS D, Winham SJ, Oustimov A, Pantalone L, et al
    Radiomic Phenotypes of Mammographic Parenchymal Complexity: Toward Augmenting Breast Density in Breast Cancer Risk Assessment.
    Radiology. 2018 Oct 30:180179. doi: 10.1148/radiol.2018180179.
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56. CHEN Y, Panda A, Pahwa S, Hamilton JI, et al
    Three-dimensional MR Fingerprinting for Quantitative Breast Imaging.
    Radiology. 2018 Oct 30:180836. doi: 10.1148/radiol.2018180836.
    PubMed     Text format     Abstract available
    
    
    September 2018
57. PARTRIDGE SC, Zhang Z, Newitt DC, Gibbs JE, et al
    Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial.
    Radiology. 2018 Sep 4:180273. doi: 10.1148/radiol.2018180273.
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58. DESOUZA NM
    Diffusion-weighted MRI in Multicenter Trials of Breast Cancer: A Useful Measure of Tumor Response?
    Radiology. 2018 Sep 4:181717. doi: 10.1148/radiol.2018181717.
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59. MOY L
    Should We Continue to Biopsy All Amorphous Calcifications?
    Radiology. 2018;288:680-681.
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    August 2018
60. ZHANG X, Zheng C, Yang Z, Cheng Z, et al
    Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT.
    Radiology. 2018 Aug 28:180544. doi: 10.1148/radiol.2018180544.
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61. HYLTON NM
    Residual Disease after Neoadjuvant Therapy for Breast Cancer: Can MRI Help?
    Radiology. 2018 Aug 28:181846. doi: 10.1148/radiol.2018181846.
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62. GARCIA-TEJEDOR A, Guma A, Soler T, Valdivieso A, et al
    Radiofrequency Ablation Followed by Surgical Excision versus Lumpectomy for Early Stage Breast Cancer: A Randomized Phase II Clinical Trial.
    Radiology. 2018 Aug 21:180235. doi: 10.1148/radiol.2018180235.
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63. BREM RF
    Radiofrequency Ablation of Breast Cancer: A Step Forward.
    Radiology. 2018 Aug 21:181784. doi: 10.1148/radiol.2018181784.
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64. PHILPOTTS LE
    Machine Detection of High Breast Density: Worse Outcomes for Our Patients.
    Radiology. 2018;288:353-354.
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65. EISENBERG AM, Eppelheimer CN, Fulop TA, Abramson LL, et al
    Case 256: Breast Implant-associated Anaplastic Large-Cell Lymphoma.
    Radiology. 2018;288:624-629.
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    July 2018
66. SHIN SU, Cho N, Lee HB, Kim SY, et al
    Neoadjuvant Chemotherapy and Surgery for Breast Cancer: Preoperative MRI Features Associated with Local Recurrence.
    Radiology. 2018 Jul 24:172888. doi: 10.1148/radiol.2018172888.
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67. JAMSHIDI N, Yamamoto S, Gornbein J, Kuo MD, et al
    Receptor-based Surrogate Subtypes and Discrepancies with Breast Cancer Intrinsic Subtypes: Implications for Image Biomarker Development.
    Radiology. 2018 Jul 24:171118. doi: 10.1148/radiol.2018171118.
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    June 2018
68. MOSHINA N, Sebuodegard S, Lee CI, Akslen LA, et al
    Automated Volumetric Analysis of Mammographic Density in a Screening Setting: Worse Outcomes for Women with Dense Breasts.
    Radiology. 2018 Jun 26:172972. doi: 10.1148/radiol.2018172972.
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69. OLIGANE HC, Berg WA, Bandos AI, Chen SS, et al
    Grouped Amorphous Calcifications at Mammography: Frequently Atypical but Rarely Associated with Aggressive Malignancy.
    Radiology. 2018 Jun 19:172406. doi: 10.1148/radiol.2018172406.
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70. PATTACINI P, Nitrosi A, Rossi PG, Iotti V, et al
    Digital Mammography versus Digital Mammography Plus Tomosynthesis for Breast Cancer Screening: The Reggio Emilia Tomosynthesis Randomized Trial.
    Radiology. 2018 Jun 5:172119. doi: 10.1148/radiol.2018172119.
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71. KANG SK, Jiang M, Duszak R Jr, Heller SL, et al
    Use of Breast Cancer Screening and Its Association with Later Use of Preventive Services among Medicare Beneficiaries.
    Radiology. 2018 Jun 5:172326. doi: 10.1148/radiol.2018172326.
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72. WHITMAN GJ, Cantor SB
    Effect of Screening Mammography on Other Preventive Services in Older Women.
    Radiology. 2018 Jun 5:180937. doi: 10.1148/radiol.2018180937.
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73. PINKER K, Chin J, Melsaether AN, Morris EA, et al
    Precision Medicine and Radiogenomics in Breast Cancer: New Approaches toward Diagnosis and Treatment.
    Radiology. 2018;287:732-747.
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    May 2018
74. MAZARI FAK, Sharma N, Dodwell D, Horgan K, et al
    Human Epidermal Growth Factor 2-positive Breast Cancer with Mammographic Microcalcification: Relationship to Pathologic Complete Response after Neoadjuvant Chemotherapy.
    Radiology. 2018 May 16:170960. doi: 10.1148/radiol.2018170960.
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    April 2018
75. WU J, Cao G, Sun X, Lee J, et al
    Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy.
    Radiology. 2018 Apr 27:172462. doi: 10.1148/radiol.2018172462.
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76. GILLIES RJ, Balagurunathan Y
    Perfusion MR Imaging of Breast Cancer: Insights Using "Habitat Imaging".
    Radiology. 2018 Apr 27:180271. doi: 10.1148/radiol.2018180271.
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77. MENEZES GLG, Pijnappel RM, Meeuwis C, Bisschops R, et al
    Downgrading of Breast Masses Suspicious for Cancer by Using Optoacoustic Breast Imaging.
    Radiology. 2018 Apr 17:170500. doi: 10.1148/radiol.2018170500.
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78. ROSENBERG RD, Seidenwurm D
    Breast Cancer Screening: Two (or Three) Heads Are Better than One?
    Radiology. 2018 Apr 10:180207. doi: 10.1148/radiol.2018180207.
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79. TAYLOR-PHILLIPS S, Jenkinson D, Stinton C, Wallis MG, et al
    Double Reading in Breast Cancer Screening: Cohort Evaluation in the CO-OPS Trial.
    Radiology. 2018 Apr 10:171010. doi: 10.1148/radiol.2018171010.
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80. BURNSIDE ES, Vulkan D, Blanks RG, Duffy SW, et al
    Association between Screening Mammography Recall Rate and Interval Cancers in the UK Breast Cancer Service Screening Program: A Cohort Study.
    Radiology. 2018 Apr 3:171539. doi: 10.1148/radiol.2018171539.
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81. PISANO ED
    Is Tomosynthesis the Future of Breast Cancer Screening?
    Radiology. 2018;287:47-48.
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    March 2018
82. KIM GR, Choi JS, Han BK, Lee JE, et al
    Preoperative Axillary US in Early-Stage Breast Cancer: Potential to Prevent Unnecessary Axillary Lymph Node Dissection.
    Radiology. 2018 Mar 20:171987. doi: 10.1148/radiol.2018171987.
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83. BAHL M, Barzilay R, Yedidia AB, Locascio NJ, et al
    High-Risk Breast Lesions: A Machine Learning Model to Predict Pathologic Upgrade and Reduce Unnecessary Surgical Excision.
    Radiology. 2018;286:810-818.
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    February 2018
84. GUNTHER JE, Lim EA, Kim HK, Flexman M, et al
    Dynamic Diffuse Optical Tomography for Monitoring Neoadjuvant Chemotherapy in Patients with Breast Cancer.
    Radiology. 2018 Feb 12:161041. doi: 10.1148/radiol.2018161041.
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85. SEIDENWURM D, Breslau J
    Recall Rate Benchmark for Screening Breast MR Imaging in Community Practice.
    Radiology. 2018;286:728-729.
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86. IMBRIACO M, Cuocolo R
    Does Texture Analysis of MR Images of Breast Tumors Help Predict Response to Treatment?
    Radiology. 2018;286:421-423.
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87. CONANT EF, Sprague BL, Kontos D
    Beyond BI-RADS Density: A Call for Quantification in the Breast Imaging Clinic.
    Radiology. 2018;286:401-404.
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    January 2018
88. GAO Y, Albert M, Young Lin LL, Lewin AA, et al
    What Happens after a Diagnosis of High-Risk Breast Lesion at Stereotactic Vacuum-assisted Biopsy? An Observational Study of Postdiagnosis Management and Imaging Adherence.
    Radiology. 2018 Jan 29:171665. doi: 10.1148/radiol.2017171665.
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89. CHEON H, Kim HJ, Kim TH, Ryeom HK, et al
    Invasive Breast Cancer: Prognostic Value of Peritumoral Edema Identified at Preoperative MR Imaging.
    Radiology. 2018 Jan 9:171157. doi: 10.1148/radiol.2017171157.
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90. ELEZABY M, Li G, Bhargavan-Chatfield M, Burnside ES, et al
    ACR BI-RADS Assessment Category 4 Subdivisions in Diagnostic Mammography: Utilization and Outcomes in the National Mammography Database.
    Radiology. 2018 Jan 9:170770. doi: 10.1148/radiol.2017170770.
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91. MOY L
    Do Tumor Shrinkage Patterns at Breast MR Imaging Predict Survival?
    Radiology. 2018;286:58-59.
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    December 2017
92. BAHL M, Gaffney S, McCarthy AM, Lowry KP, et al
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