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Articles published in
Radiology
    April 2024
  1. KIM MK, Chang JM
    AI-driven Selection of Candidates for Supplemental Breast Cancer Screening.
    Radiology. 2024;311:e240447.
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  2. LIU Y, Sorkhei M, Dembrower K, Azizpour H, et al
    Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening.
    Radiology. 2024;311:e232535.
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    March 2024
  3. DONNELLY J, Moffett L, Barnett AJ, Trivedi H, et al
    AsymMirai: Interpretable Mammography-based Deep Learning Model for 1-5-year Breast Cancer Risk Prediction.
    Radiology. 2024;310:e232780.
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  4. CHEN Y, Taib AG, Darker IT, James JJ, et al
    Erratum for: Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme.
    Radiology. 2024;310:e249007.
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  5. ZHOU LQ, Wu XL, Huang SY, Wu GG, et al
    Erratum for: Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning.
    Radiology. 2024;310:e249009.
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  6. KUHL CK
    Abbreviated Breast MRI: State of the Art.
    Radiology. 2024;310:e221822.
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    February 2024
  7. MONTICCIOLO DL, Hendrick RE, Helvie MA
    Outcomes of Breast Cancer Screening Strategies Based on Cancer Intervention and Surveillance Modeling Network Estimates.
    Radiology. 2024;310:e232658.
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    January 2024
  8. DU S, Gao S, Wang M, Zhang L, et al
    Multiparametric MRI Radiomics for the Identification of HER2-Low Breast Cancers.
    Radiology. 2024;310:e232092.
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  9. ZHOU W, Rahbar H
    Quantitative Breast Parenchymal Enhancement to Predict Breast Cancer Recurrence.
    Radiology. 2024;310:e240021.
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  10. AREFAN D, Zuley ML, Berg WA, Yang L, et al
    Assessment of Background Parenchymal Enhancement at Dynamic Contrast-enhanced MRI in Predicting Breast Cancer Recurrence Risk.
    Radiology. 2024;310:e230269.
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    December 2023
  11. HA SM, Chang JM
    Breast Cancer Detection: Digital Breast Tomosynthesis with Synthesized Mammography versus Digital Mammography.
    Radiology. 2023;309:e232911.
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  12. WEIGEL S, Heindel W, Decker T, Weyer-Elberich V, et al
    Digital Breast Tomosynthesis versus Digital Mammography for Detection of Early-Stage Cancers Stratified by Grade: A TOSYMA Subanalysis.
    Radiology. 2023;309:e231533.
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  13. PESAPANE F, Cassano E
    Enhancing Breast Imaging Practices: Addressing False-Positive Findings, Personalization, and Equitable Access.
    Radiology. 2023;309:e232189.
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    November 2023
  14. PHILLIPS J, Mehta TS, Portnow LH, Fishman MDC, et al
    Comparison of Contrast-enhanced Mammography with MRI Utilizing an Enriched Reader Study: A Breast Cancer Study (CONTRRAST Trial).
    Radiology. 2023;309:e230530.
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  15. HICKMAN SE, Payne NR, Black RT, Huang Y, et al
    Mammography Breast Cancer Screening Triage Using Deep Learning: A UK Retrospective Study.
    Radiology. 2023;309:e231173.
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  16. NISHIKAWA RM, Lu AH
    AI in Screening Mammography: Use One Radiologist and Improve Double Reads.
    Radiology. 2023;309:e232964.
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    October 2023
  17. LARSEN M, Olstad CF, Koch HW, Martiniussen MA, et al
    AI Risk Score on Screening Mammograms Preceding Breast Cancer Diagnosis.
    Radiology. 2023;309:e230989.
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  18. MEHTA TS
    Leveraging Differences in AI and Human "Vision" to Improve Breast Cancer Detection.
    Radiology. 2023;309:e232520.
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    September 2023
  19. CHEN Y, Taib AG, Darker IT, James JJ, et al
    Performance of a Breast Cancer Detection AI Algorithm Using the Personal Performance in Mammographic Screening Scheme.
    Radiology. 2023;308:e223299.
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  20. LAMB LR, Mercaldo SF, Ghaderi K, Carney A, et al
    Comparison of the Diagnostic Accuracy of Mammogram-based Deep Learning and Traditional Breast Cancer Risk Models in Patients Who Underwent Supplemental Screening with MRI.
    Radiology. 2023;308:e223077.
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  21. BAE MS
    Mammography-based Deep Learning for Breast Cancer Risk Assessment for Supplemental MRI Screening.
    Radiology. 2023;308:e232226.
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  22. WATT GP, Thakran S, Sung JS, Jochelson MS, et al
    Association of Breast Cancer Odds with Background Parenchymal Enhancement Quantified Using a Fully Automated Method at MRI: The IMAGINE Study.
    Radiology. 2023;308:e230367.
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  23. BOKACHEVA L
    Automated Background Parenchymal Enhancement Measurements at MRI to Predict Breast Cancer Risk.
    Radiology. 2023;308:e231765.
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    August 2023
  24. RAMTOHUL T, Djerroudi L, Lissavalid E, Nhy C, et al
    Multiparametric MRI and Radiomics for the Prediction of HER2-Zero, -Low, and -Positive Breast Cancers.
    Radiology. 2023;308:e222646.
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  25. GRIMM LJ
    Breast MRI Provides New Opportunities to Identify Patients at Higher Risk.
    Radiology. 2023;308:e231633.
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  26. WANG H, van der Velden BHM, Verburg E, Bakker MF, et al
    Assessing Quantitative Parenchymal Features at Baseline Dynamic Contrast-enhanced MRI and Cancer Occurrence in Women with Extremely Dense Breasts.
    Radiology. 2023;308:e222841.
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  27. LAWSON MB, Partridge SC, Hippe DS, Rahbar H, et al
    Comparative Performance of Contrast-enhanced Mammography, Abbreviated Breast MRI, and Standard Breast MRI for Breast Cancer Screening.
    Radiology. 2023;308:e230576.
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  28. CHANG JM
    Benefits and Trade-offs of Breast Cancer Screening Using Contrast-enhanced Mammography.
    Radiology. 2023;308:e231652.
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  29. LAURITZEN AD, von Euler-Chelpin MC, Lynge E, Vejborg I, et al
    Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture.
    Radiology. 2023;308:e230227.
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    July 2023
  30. RAUCH GM
    Precision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic Therapy.
    Radiology. 2023;308:e231482.
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  31. SHI Z, Huang X, Cheng Z, Xu Z, et al
    MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer.
    Radiology. 2023;308:e222830.
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  32. SHI Z, Huang X, Cheng Z, Xu Z, et al
    Erratum for: MRI-based Quantification of Intratumoral Heterogeneity for Predicting Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer.
    Radiology. 2023;308:e239021.
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    June 2023
  33. SKAANE P
    Interval and Successive-Round Cancers after Digital Breast Tomosynthesis Screening: We Still Need Convincing Results regarding Beneficial Evidence on Long-term Outcomes.
    Radiology. 2023;307:e230964.
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  34. SPRAGUE BL, Coley RY, Lowry KP, Kerlikowske K, et al
    Digital Breast Tomosynthesis versus Digital Mammography Screening Performance on Successive Screening Rounds from the Breast Cancer Surveillance Consortium.
    Radiology. 2023;307:e223142.
    >> Share

  35. ARASU VA, Habel LA, Achacoso NS, Buist DSM, et al
    Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study.
    Radiology. 2023;307:e222733.
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  36. DAMIANI C, Kalliatakis G, Sreenivas M, Al-Attar M, et al
    Evaluation of an AI Model to Assess Future Breast Cancer Risk.
    Radiology. 2023;307:e222679.
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  37. BAHL M, Do S
    Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted Territory.
    Radiology. 2023;307:e231140.
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  38. LEE CS, Moy L
    Erratum for: New Screening Performance Metrics for Digital Breast Tomosynthesis in U.S. Community Practice from the Breast Cancer Surveillance Consortium.
    Radiology. 2023;307:e239014.
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  39. MAHECHA CARVAJAL ME, Mahecha Carvajal JE, Cardona Ortegon JD, Palazuelos G, et al
    Contrast-enhanced Mammography: Revisiting the Roots of Screening.
    Radiology. 2023;307:e230376.
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    May 2023
  40. YOON JH, Strand F, Baltzer PAT, Conant EF, et al
    Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis.
    Radiology. 2023 May 23:222639. doi: 10.1148/radiol.222639.
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  41. SCARANELO AM
    Standalone AI in Breast Cancer Screening: Where We Are and What Is to Be Achieved.
    Radiology. 2023 May 23:230935. doi: 10.1148/radiol.230935.
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  42. HA SM, Lee JM, Kim SO, Moon WK, et al
    Semiannual Breast US or MRI Screening in Patients with a Personal History of Breast Cancer.
    Radiology. 2023 May 9:221660. doi: 10.1148/radiol.221660.
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  43. BERG WA
    Data Do Not Support Semiannual Screening US after MRI, and Screening Mammography after MRI Has Limited Benefit.
    Radiology. 2023 May 9:230932. doi: 10.1148/radiol.230932.
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  44. DRATSCH T, Chen X, Rezazade Mehrizi M, Kloeckner R, et al
    Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance.
    Radiology. 2023 May 2:222176. doi: 10.1148/radiol.222176.
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  45. BERG WA, Lopez Aldrete AL, Jairaj A, Ledesma Parea JC, et al
    Toward AI-supported US Triage of Women with Palpable Breast Lumps in a Low-Resource Setting.
    Radiology. 2023;307:e223351.
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  46. BALTZER PAT
    Automation Bias in Breast AI.
    Radiology. 2023;307:e230770.
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  47. KWON MR, Choi JS, Lee MY, Kim S, et al
    Screening Outcomes of Supplemental Automated Breast US in Asian Women with Dense and Nondense Breasts.
    Radiology. 2023;307:e222435.
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  48. APPELMAN L, Siebers CCN, Appelman PTM, Go HLS, et al
    US and Digital Breast Tomosynthesis in Women with Focal Breast Complaints: Results of the Breast US Trial (BUST).
    Radiology. 2023;307:e220361.
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  49. HONDA M, Iima M
    Breast Parenchymal Enhancement as a Predictor of Efficacy for Endocrine Therapy.
    Radiology. 2023;307:e230350.
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    April 2023
  50. LEE CS, Moy L
    New Screening Performance Metrics for Digital Breast Tomosynthesis in U.S. Community Practice from the Breast Cancer Surveillance Consortium.
    Radiology. 2023 Apr 11:230505. doi: 10.1148/radiol.230505.
    >> Share

  51. LEE CI, Abraham L, Miglioretti DL, Onega T, et al
    National Performance Benchmarks for Screening Digital Breast Tomosynthesis: Update from the Breast Cancer Surveillance Consortium.
    Radiology. 2023 Apr 11:222499. doi: 10.1148/radiol.222499.
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  52. HAVER HL, Ambinder EB, Bahl M, Oluyemi ET, et al
    Appropriateness of Breast Cancer Prevention and Screening Recommendations Provided by ChatGPT.
    Radiology. 2023 Apr 4:230424. doi: 10.1148/radiol.230424.
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    March 2023
  53. RAGUSI MAA, van der Velden BHM, Meeuwis C, Tetteroo E, et al
    Long-term Survival in Breast Cancer Patients Is Associated with Contralateral Parenchymal Enhancement at MRI: Outcomes of the SELECT Study.
    Radiology. 2023 Mar 28:221922. doi: 10.1148/radiol.221922.
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  54. PARK AR, Chae EY, Kim HJ, Cha JH, et al
    Effects of Preoperative Breast MRI on Breast Cancer Survival Outcomes in Women Aged 35 Years and Younger.
    Radiology. 2023 Mar 28:221797. doi: 10.1148/radiol.221797.
    >> Share

  55. KIM E, Moy L
    Preoperative Breast MRI Is Not a Significant Prognostic Factor of Recurrence-Free Survival and Overall Survival in Young Women.
    Radiology. 2023 Mar 28:230387. doi: 10.1148/radiol.230387.
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  56. BAE MS, Seo BK
    Breast Cancer Screening with Digital Breast Tomosynthesis Improves Performance of Mammography Screening.
    Radiology. 2023 Mar 14:230306. doi: 10.1148/radiol.230306.
    >> Share

  57. CONANT EF, Talley MM, Parghi CR, Sheh BC, et al
    Mammographic Screening in Routine Practice: Multisite Study of Digital Breast Tomosynthesis and Digital Mammography Screenings.
    Radiology. 2023 Mar 14:221571. doi: 10.1148/radiol.221571.
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  58. CHUNG M, Calabrese E, Mongan J, Ray KM, et al
    Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.
    Radiology. 2023;306:e239004.
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  59. MOY L
    Change Is Good: The Evolution and Future of Breast Imaging.
    Radiology. 2023;306:e230018.
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  60. KUHL CK
    What the Future Holds for the Screening, Diagnosis, and Treatment of Breast Cancer.
    Radiology. 2023;306:e223338.
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    February 2023
  61. HOOLEY RJ, Butler R
    Modern Challenges in Assessing Breast Cancer Screening Strategies: A Call for Added Resources.
    Radiology. 2023 Feb 7:230145. doi: 10.1148/radiol.230145.
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  62. ACCIAVATTI RJ, Lee SH, Reig B, Moy L, et al
    Beyond Breast Density: Risk Measures for Breast Cancer in Multiple Imaging Modalities.
    Radiology. 2023 Feb 7:222575. doi: 10.1148/radiol.222575.
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  63. LEE AY
    Nipple-sparing Mastectomy in the Era of Neoadjuvant Systemic Therapy: The Accuracy of Preoperative MRI.
    Radiology. 2023 Feb 7:223297. doi: 10.1148/radiol.223297.
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  64. BAE SJ, Ahn SG, Park EJ, Eun NL, et al
    Resolution of Nonmass Enhancement Extension to the Nipple at Breast MRI after Neoadjuvant Chemotherapy: Pathologic Response and Feasibility for Nipple-sparing Mastectomy.
    Radiology. 2023 Feb 7:221777. doi: 10.1148/radiol.221777.
    >> Share

  65. FAJARDO LL, Hillis SL, Zheng B, Wong MD, et al
    A Pilot Study to Assess the Performance of Phase-Sensitive Breast Tomosynthesis.
    Radiology. 2023;306:e213198.
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    January 2023
  66. HUSSEIN H, Abbas E, Keshavarzi S, Fazelzad R, et al
    Supplemental Breast Cancer Screening in Women with Dense Breasts and Negative Mammography: A Systematic Review and Meta-Analysis.
    Radiology. 2023 Jan 31:221785. doi: 10.1148/radiol.221785.
    >> Share

  67. RAHBAR H, Dontchos BN
    Disparities in Imaging Surveillance after a DCIS Diagnosis Elucidate Persistent Inequities in the Breast Cancer Care Continuum.
    Radiology. 2023 Jan 10:222900. doi: 10.1148/radiol.222900.
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  68. BYNG D, Thomas SM, Rushing CN, Lynch T, et al
    Surveillance Imaging after Primary Diagnosis of Ductal Carcinoma in Situ.
    Radiology. 2023 Jan 10:221210. doi: 10.1148/radiol.221210.
    >> Share

  69. BAE MS
    Impact of Molecular Subtype Definitions on AI Classification of Breast Cancer at MRI.
    Radiology. 2023 Jan 3:223041. doi: 10.1148/radiol.223041.
    >> Share

  70. JI Y, Whitney HM, Li H, Liu P, et al
    Differences in Molecular Subtype Reference Standards Impact AI-based Breast Cancer Classification with Dynamic Contrast-enhanced MRI.
    Radiology. 2023 Jan 3:220984. doi: 10.1148/radiol.220984.
    >> Share

  71. CHEN Y, James JJ, Michalopoulou E, Darker IT, et al
    Performance of Radiologists and Radiographers in Double Reading Mammograms: The UK National Health Service Breast Screening Program.
    Radiology. 2023;306:102-109.
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    December 2022
  72. GUPTA S, Mohindra N, Mehndiratta A, Chaturvedi P, et al
    Case 312.
    Radiology. 2022;305:743-745.
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    November 2022
  73. LOBBES MBI, Jochelson MS, Neeter LMFH, Nelemans PJ, et al
    Contrast-enhanced Mammography and Breast MRI: Friends or Foes?
    Radiology. 2022 Nov 22:221558. doi: 10.1148/radiol.221558.
    >> Share

  74. CHUNG M, Calabrese E, Mongan J, Ray KM, et al
    Deep Learning to Simulate Contrast-enhanced Breast MRI of Invasive Breast Cancer.
    Radiology. 2022 Nov 15:213199. doi: 10.1148/radiol.213199.
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  75. SLANETZ PJ
    The Potential of Deep Learning to Revolutionize Current Breast MRI Practice.
    Radiology. 2022 Nov 15:222527. doi: 10.1148/radiol.222527.
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    October 2022
  76. BARROS V, Tlusty T, Barkan E, Hexter E, et al
    Virtual Biopsy by Using Artificial Intelligence-based Multimodal Modeling of Binational Mammography Data.
    Radiology. 2022 Oct 25:220027. doi: 10.1148/radiol.220027.
    >> Share

  77. WOLFSON S, Kim E
    Breast Cancer Screening and Axillary Adenopathy in the Era of COVID-19 Vaccination.
    Radiology. 2022 Oct 11:222040. doi: 10.1148/radiol.222040.
    >> Share

  78. CHRISTENSEN EW, Waid M, Scott J, Patel BK, et al
    Relationship between Race and Access to Newer Mammographic Technology in Women with Medicare Insurance.
    Radiology. 2022 Oct 11:221153. doi: 10.1148/radiol.221153.
    >> Share

  79. WEIGEL S, Heindel W, Hense HW, Decker T, et al
    Breast Density and Breast Cancer Screening with Digital Breast Tomosynthesis: A TOSYMA Trial Subanalysis.
    Radiology. 2022 Oct 4:221006. doi: 10.1148/radiol.221006.
    >> Share

  80. LEE CS, Moy L
    Lessons Learned from the Randomized Controlled TOmosynthesis plus SYnthesized MAmmography (TOSYMA) Trial.
    Radiology. 2022 Oct 4:222178. doi: 10.1148/radiol.222178.
    >> Share

  81. POTSCH N, Vatteroni G, Clauser P, Helbich TH, et al
    Contrast-enhanced Mammography versus Contrast-enhanced Breast MRI: A Systematic Review and Meta-Analysis.
    Radiology. 2022;305:94-103.
    >> Share

    September 2022
  82. KATAOKA M
    Mammographic Density for Personalized Breast Cancer Risk.
    Radiology. 2022 Sep 20:222129. doi: 10.1148/radiol.222129.
    >> Share

  83. TRAN TXM, Kim S, Song H, Lee E, et al
    Association of Longitudinal Mammographic Breast Density Changes with Subsequent Breast Cancer Risk.
    Radiology. 2022 Sep 20:220291. doi: 10.1148/radiol.220291.
    >> Share

  84. HOOLEY RJ, Durand MA
    Equalizing the Performance of Radiologists and Physician Extenders in Screening Mammography.
    Radiology. 2022 Sep 13:221960. doi: 10.1148/radiol.221960.
    >> Share

  85. RUEDA MA, Bedoya Murillo ND, Cardona Ortegon JD, Yepes MM, et al
    Abbreviated Screening MRI in Breast Cancer: Promising but Not Widely Available.
    Radiology. 2022 Sep 6:221727. doi: 10.1148/radiol.221727.
    >> Share

    August 2022
  86. LEE SH, Jang MJ, Yoen H, Lee Y, et al
    Background Parenchymal Enhancement at Postoperative Surveillance Breast MRI: Association with Future Second Breast Cancer Risk.
    Radiology. 2022 Aug 30:220440. doi: 10.1148/radiol.220440.
    >> Share

  87. ABRAHAM P, Balthazar P, Reid NJ, Flores EJ, et al
    The Digital Divide in Radiology: Computer Use for Health Care-related Tasks and Breast Cancer Screening.
    Radiology. 2022 Aug 30:220796. doi: 10.1148/radiol.220796.
    >> Share

  88. NIELL BL
    Background Parenchymal Enhancement at Breast MRI: More Is Not Better.
    Radiology. 2022 Aug 30:221901. doi: 10.1148/radiol.221901.
    >> Share

  89. DEIPOLYI AR, Johnson CB, Riedl CC, Kunin H, et al
    Prospective Evaluation of Immune Activation Associated with Response to Radioembolization Assessed with PET/CT in Women with Breast Cancer Liver Metastasis.
    Radiology. 2022 Aug 16:220158. doi: 10.1148/radiol.220158.
    >> Share

  90. CHOI SJ, Lee SS, Jung KH, Lee JB, et al
    Noncirrhotic Portal Hypertension after Trastuzumab Emtansine in HER2-positive Breast Cancer as Determined by Deep Learning-measured Spleen Volume at CT.
    Radiology. 2022 Aug 9:220536. doi: 10.1148/radiol.220536.
    >> Share

  91. TAKAMATSU A, Yoshida K, Toshima F, Kozaka K, et al
    Single-Center Analysis of Pegfilgrastim-induced Aortitis Using a Drug Prescription Database and CT Findings.
    Radiology. 2022 Aug 9:220357. doi: 10.1148/radiol.220357.
    >> Share

    July 2022
  92. RAMTOHUL T, Tescher C, Vaflard P, Cyrta J, et al
    Prospective Evaluation of Ultrafast Breast MRI for Predicting Pathologic Response after Neoadjuvant Therapies.
    Radiology. 2022 Jul 26:220389. doi: 10.1148/radiol.220389.
    >> Share

  93. KIM G, Mehta TS, Brook A, Du LH, et al
    Enhancement Type at Contrast-enhanced Mammography and Association with Malignancy.
    Radiology. 2022 Jul 12:210966. doi: 10.1148/radiol.210966.
    >> Share

  94. LEE SA, Lee Y, Ryu HS, Jang MJ, et al
    Diffusion-weighted Breast MRI in Prediction of Upstaging in Women with Biopsy-proven Ductal Carcinoma in Situ.
    Radiology. 2022 Jul 5:213174. doi: 10.1148/radiol.213174.
    >> Share

    June 2022
  95. KIM SY, Cho N, Hong H, Lee Y, et al
    Abbreviated Screening MRI for Women with a History of Breast Cancer: Comparison with Full-Protocol Breast MRI.
    Radiology. 2022 Jun 14:213310. doi: 10.1148/radiol.213310.
    >> Share

    May 2022
  96. KIM S, Tran TXM, Song H, Ryu S, et al
    Mammographic Breast Density, Benign Breast Disease, and Subsequent Breast Cancer Risk in 3.9 Million Korean Women.
    Radiology. 2022 May 17:212727. doi: 10.1148/radiol.212727.
    >> Share

  97. KATAOKA M
    The Contribution of Imaging as a Prognostic Marker of Luminal Breast Cancer.
    Radiology. 2022 May 10:220748. doi: 10.1148/radiol.220748.
    >> Share

  98. KWON BR, Shin SU, Kim SY, Choi Y, et al
    Microcalcifications and Peritumoral Edema Predict Survival Outcome in Luminal Breast Cancer Treated with Neoadjuvant Chemotherapy.
    Radiology. 2022 May 10:211509. doi: 10.1148/radiol.211509.
    >> Share

  99. WANDERS AJT, Mees W, Bun PAM, Janssen N, et al
    Interval Cancer Detection Using a Neural Network and Breast Density in Women with Negative Screening Mammograms.
    Radiology. 2022;303:269-275.
    >> Share

    April 2022
  100. TAOUREL P
    MRI to Detect Contralateral Breast Cancer in Patients with Newly Diagnosed Breast Cancer: An Increase in Overall Survival to Be Confirmed.
    Radiology. 2022 Apr 26:220546. doi: 10.1148/radiol.220546.
    >> Share

  101. FREITAS V, Li X, Amitai Y, Au F, et al
    Contralateral Breast Screening with Preoperative MRI: Long-Term Outcomes for Newly Diagnosed Breast Cancer.
    Radiology. 2022 Apr 26:212361. doi: 10.1148/radiol.212361.
    >> Share

  102. LAURITZEN AD, Rodriguez-Ruiz A, von Euler-Chelpin MC, Lynge E, et al
    An Artificial Intelligence-based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload.
    Radiology. 2022 Apr 19:210948. doi: 10.1148/radiol.210948.
    >> Share

    March 2022
  103. LARSEN M, Aglen CF, Lee CI, Hoff SR, et al
    Artificial Intelligence Evaluation of 122 969 Mammography Examinations from a Population-based Screening Program.
    Radiology. 2022 Mar 29:212381. doi: 10.1148/radiol.212381.
    >> Share

    February 2022
  104. LEE AY, Ray KM
    Surrogate Clinical End Points for Breast Cancer Screening Using Digital Breast Tomosynthesis.
    Radiology. 2022 Feb 1:213026. doi: 10.1148/radiol.213026.
    >> Share

  105. PATTACINI P, Nitrosi A, Giorgi Rossi P, Duffy SW, et al
    A Randomized Trial Comparing Breast Cancer Incidence and Interval Cancers after Tomosynthesis Plus Mammography versus Mammography Alone.
    Radiology. 2022 Feb 1:211132. doi: 10.1148/radiol.211132.
    >> Share

  106. GRIMM LJ, Rahbar H, Abdelmalak M, Hall AH, et al
    Ductal Carcinoma in Situ: State-of-the-Art Review.
    Radiology. 2022;302:246-255.
    >> Share

  107. KOPANS DB
    Time for Change in Digital Breast Tomosynthesis Research.
    Radiology. 2022;302:293-294.
    >> Share

    January 2022
  108. SHOSHAN Y, Bakalo R, Gilboa-Solomon F, Ratner V, et al
    Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis.
    Radiology. 2022 Jan 18:211105. doi: 10.1148/radiol.211105.
    >> Share

  109. PHILPOTTS LE
    Advancing Artificial Intelligence to Meet Breast Imaging Needs.
    Radiology. 2022 Jan 18:213101. doi: 10.1148/radiol.213101.
    >> Share

  110. BERNSTEIN MH, Baird GL, Lourenco AP
    Digital Breast Tomosynthesis and Digital Mammography Recall and False-Positive Rates by Time of Day and Reader Experience.
    Radiology. 2022 Jan 11:210318. doi: 10.1148/radiol.210318.
    >> Share

  111. HOU R, Grimm LJ, Mazurowski MA, Marks JR, et al
    Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features.
    Radiology. 2022 Jan 4:210407. doi: 10.1148/radiol.210407.
    >> Share

    December 2021
  112. FUCHSJAGER MH, Adelsmayr G
    Artificial Intelligence as an Assistant in Breast Cancer Screening.
    Radiology. 2021 Dec 14:212675. doi: 10.1148/radiol.212675.
    >> Share

  113. COZZI A, Magni V, Zanardo M, Schiaffino S, et al
    Contrast-enhanced Mammography: A Systematic Review and Meta-Analysis of Diagnostic Performance.
    Radiology. 2021 Dec 14:211412. doi: 10.1148/radiol.211412.
    >> Share

  114. ROMERO-MARTIN S, Elias-Cabot E, Raya-Povedano JL, Gubern-Merida A, et al
    Stand-Alone Use of Artificial Intelligence for Digital Mammography and Digital Breast Tomosynthesis Screening: A Retrospective Evaluation.
    Radiology. 2021 Dec 14:211590. doi: 10.1148/radiol.211590.
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  115. LIANG A, Baraban E, Myers KS, Mullen LA, et al
    Developing Asymmetries without Sonographic Correlate at Digital Breast Tomosynthesis.
    Radiology. 2021 Dec 7:210527. doi: 10.1148/radiol.210527.
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  116. GASTOUNIOTI A, Pantalone L, Scott CG, Cohen EA, et al
    Fully Automated Volumetric Breast Density Estimation from Digital Breast Tomosynthesis.
    Radiology. 2021;301:561-568.
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  117. ZHU X, Wolfgruber TK, Leong L, Jensen M, et al
    Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women.
    Radiology. 2021;301:550-558.
    >> Share

    November 2021
  118. FAN M, Cui Y, You C, Liu L, et al
    Radiogenomic Signatures of Oncotype DX Recurrence Score Enable Prediction of Survival in Estrogen Receptor-Positive Breast Cancer: A Multicohort Study.
    Radiology. 2021 Nov 30:210738. doi: 10.1148/radiol.2021210738.
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  119. TICE JA, Gard CC, Miglioretti DL, Sprague BL, et al
    Comparing Mammographic Density Assessed by Digital Breast Tomosynthesis or Digital Mammography: The Breast Cancer Surveillance Consortium.
    Radiology. 2021 Nov 23:204579. doi: 10.1148/radiol.2021204579.
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  120. MORI N, Mugikura S, Takase K
    Extra- or Peritumoral Hyperintensity on T2-weighted Images in Patients with Breast Cancer.
    Radiology. 2021 Nov 16:210939. doi: 10.1148/radiol.2021210939.
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  121. GEERTSE TD, Setz-Pels W, van der Waal D, Nederend J, et al
    Added Value of Prereading Screening Mammograms for Breast Cancer by Radiologic Technologists on Early Screening Outcomes.
    Radiology. 2021 Nov 9:210746. doi: 10.1148/radiol.2021210746.
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  122. PISANO ED
    How Radiologists Can Improve Breast Cancer Screening.
    Radiology. 2021 Nov 9:211525. doi: 10.1148/radiol.2021211525.
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    October 2021
  123. HELLER SL
    Impact of the Pandemic on Breast Cancer Diagnoses.
    Radiology. 2021 Oct 19:212477. doi: 10.1148/radiol.2021212477.
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  124. HICKMAN SE, Woitek R, Le EPV, Im YR, et al
    Machine Learning for Workflow Applications in Screening Mammography: Systematic Review and Meta-Analysis.
    Radiology. 2021 Oct 19:210391. doi: 10.1148/radiol.2021210391.
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  125. LOWRY KP, Bissell M, Miglioretti DL, Kerlikowske K, et al
    Breast Biopsy Recommendations and Breast Cancers Diagnosed during the COVID-19 Pandemic.
    Radiology. 2021 Oct 19:211808. doi: 10.1148/radiol.2021211808.
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  126. MANKOFF DA, Sellmyer MA
    PET of Fibroblast-Activation Protein for Breast Cancer Diagnosis and Staging.
    Radiology. 2021 Oct 12:212098. doi: 10.1148/radiol.2021212098.
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  127. BACKHAUS P, Burg MC, Roll W, Buther F, et al
    Simultaneous FAPI PET/MRI Targeting the Fibroblast-Activation Protein for Breast Cancer.
    Radiology. 2021 Oct 12:204677. doi: 10.1148/radiol.2021204677.
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  128. VERBURG E, van Gils CH, van der Velden BHM, Bakker MF, et al
    Deep Learning for Automated Triaging of 4581 Breast MRI Examinations from the DENSE Trial.
    Radiology. 2021 Oct 5:203960. doi: 10.1148/radiol.2021203960.
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    August 2021
  129. ONISHI N, Li W, Newitt DC, Harnish RJ, et al
    Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response.
    Radiology. 2021 Aug 24:203645. doi: 10.1148/radiol.2021203645.
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  130. IMBRIACO M
    Reducing False-Positive Screening MRI Rates in Women with Extremely Dense Breasts.
    Radiology. 2021 Aug 17:211547. doi: 10.1148/radiol.2021211547.
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  131. DEN DEKKER BM, Bakker MF, de Lange SV, Veldhuis WB, et al
    Reducing False-Positive Screening MRI Rate in Women with Extremely Dense Breasts Using Prediction Models Based on Data from the DENSE Trial.
    Radiology. 2021 Aug 17:210325. doi: 10.1148/radiol.2021210325.
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  132. CHOU SS, Romanoff J, Lehman CD, Khan SA, et al
    Preoperative Breast MRI for Newly Diagnosed Ductal Carcinoma in Situ: Imaging Features and Performance in a Multicenter Setting (ECOG-ACRIN E4112 Trial).
    Radiology. 2021 Aug 3:204743. doi: 10.1148/radiol.2021204743.
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    July 2021
  133. BAE SJ, Cha YJ, Eun NL, Ji JH, et al
    Diagnostic Accuracy of Nonmass Enhancement at Breast MRI in Predicting Tumor Involvement of the Nipple: A Prospective Study in a Single Institution.
    Radiology. 2021 Jul 13:204136. doi: 10.1148/radiol.2021204136.
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    June 2021
  134. LEE CS, Moy L, Hughes D, Golden D, et al
    Radiologist Characteristics Associated with Interpretive Performance of Screening Mammography: A National Mammography Database (NMD) Study.
    Radiology. 2021 Jun 22:204379. doi: 10.1148/radiol.2021204379.
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