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Articles published in
Radiology
    November 2024
  1. HA SM, Choi WJ, Han BK, Kim HH, et al
    Assessment of Nonmass Lesions Detected with Screening Breast US Based on Mammographic Findings.
    Radiology. 2024;313:e240043.
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  2. ABBEY CK, Bandos AI, Parthasarathy MK, Webster MA, et al
    Changes in Reader Performance During Sequential Reading of Breast Cancer Screening Digital Breast Tomosynthesis Examinations.
    Radiology. 2024;313:e232885.
    >> Share

  3. HICKMAN SE, Payne NR, Black RT, Huang Y, et al
    Deep Learning Algorithms for Breast Cancer Detection in a UK Screening Cohort: As Stand-alone Readers and Combined with Human Readers.
    Radiology. 2024;313:e233147.
    >> Share

    October 2024
  4. NISSAN N, Comstock CE, Sevilimedu V, Gluskin J, et al
    Diagnostic Accuracy of Screening Contrast-enhanced Mammography for Women with Extremely Dense Breasts at Increased Risk of Breast Cancer.
    Radiology. 2024;313:e232580.
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  5. LOBBES MBI
    A Decade of Contrast-enhanced Mammography: Expanding Screening to Women at Intermediate or High Risk for Breast Cancer.
    Radiology. 2024;313:e241970.
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  6. TRENTHAM-DIETZ A
    Weighing the Benefits and Risks of Mammography Screening Strategies.
    Radiology. 2024;313:e240819.
    >> Share

  7. GRIMM LJ
    A New Paradigm for Reading Screening Mammograms.
    Radiology. 2024;313:e242141.
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  8. GOMMERS JJJ, Verboom SD, Duvivier KM, van Rooden JK, et al
    Enhancing Radiologist Reading Performance by Ordering Screening Mammograms Based on Characteristics That Promote Visual Adaptation.
    Radiology. 2024;313:e240237.
    >> Share

  9. PARTRIDGE SC, Xu J
    Cellular Characterization of Breast Cancer Using Microstructural Diffusion MRI.
    Radiology. 2024;313:e242268.
    >> Share

  10. WANG X, Ba R, Huang Y, Cao Y, et al
    Time-Dependent Diffusion MRI Helps Predict Molecular Subtypes and Treatment Response to Neoadjuvant Chemotherapy in Breast Cancer.
    Radiology. 2024;313:e240288.
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    September 2024
  11. RAMTOHUL T, Lepagney V, Bonneau C, Jin M, et al
    Use of Pretreatment Perfusion MRI-based Intratumoral Heterogeneity to Predict Pathologic Response of Triple-Negative Breast Cancer to Neoadjuvant Chemoimmunotherapy.
    Radiology. 2024;312:e240575.
    >> Share

  12. RAUCH GM
    Biomarkers for Personalized Neoadjuvant Therapy in Triple-Negative Breast Cancer: Moving Forward.
    Radiology. 2024;312:e242011.
    >> Share

  13. BAHL M
    Combining AI and Radiomics to Improve the Accuracy of Breast US.
    Radiology. 2024;312:e241795.
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  14. MAGNUSKA ZA, Roy R, Palmowski M, Kohlen M, et al
    Combining Radiomics and Autoencoders to Distinguish Benign and Malignant Breast Tumors on US Images.
    Radiology. 2024;312:e232554.
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  15. KIM SY, Woo OH
    Implications of Digital Breast Tomosynthesis in Breast Cancer Screening: Reducing Advanced Breast Cancers.
    Radiology. 2024;312:e242008.
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  16. PHILPOTTS LE, Grewal JK, Horvath LJ, Giwerc MY, et al
    Breast Cancers Detected during a Decade of Screening with Digital Breast Tomosynthesis: Comparison with Digital Mammography.
    Radiology. 2024;312:e232841.
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    August 2024
  17. SPRAGUE BL, Ichikawa L, Eavey J, Lowry KP, et al
    Performance of Supplemental US Screening in Women with Dense Breasts and Varying Breast Cancer Risk: Results from the Breast Cancer Surveillance Consortium.
    Radiology. 2024;312:e232380.
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  18. HELBICH TH, Kapetas P
    Gradualism: How Supplemental Breast Cancer Screening Will Become a Reality.
    Radiology. 2024;312:e241563.
    >> Share

  19. ZHOU W, Franc BL, DeMartini WB, Rosen EL, et al
    Estrogen Receptor-targeted PET Imaging for Breast Cancer.
    Radiology. 2024;312:e240315.
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  20. VAN DER WAAL D, van Landsveld-Verhoeven C, Tetteroo E, van Engen RE, et al
    Pain Experience and Image Quality with Curved versus Standard Compression for Breast Cancer Screening Mammography: A Randomized Controlled Trial.
    Radiology. 2024;312:e232680.
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  21. HELBICH TH, Kapetas P
    Erratum for: Gradualism: How Supplemental Breast Cancer Screening Will Become a Reality.
    Radiology. 2024;312:e249019.
    >> Share

  22. NANAA M, Gupta VO, Hickman SE, Allajbeu I, et al
    Accuracy of an Artificial Intelligence System for Interval Breast Cancer Detection at Screening Mammography.
    Radiology. 2024;312:e232303.
    >> Share

    July 2024
  23. MULLER-FRANZES G, Khader F, Tayebi Arasteh S, Huck L, et al
    Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization.
    Radiology. 2024;312:e232304.
    >> Share

  24. HA SM, Jang MJ, Youn I, Yoen H, et al
    Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening US.
    Radiology. 2024;312:e233391.
    >> Share

  25. WHITMAN GJ, Destounis SV
    Screening Mammography with AI and Supplemental Breast US: Current Status.
    Radiology. 2024;312:e241362.
    >> Share

  26. LIN F, Choyke PL
    Somatostatin Radioligand Therapy of Breast Cancer: A Target of Opportunity.
    Radiology. 2024;312:e241298.
    >> Share

  27. ULANER GA, VanderMolen LA, Li G, Ferreira D, et al
    Dotatate PET/CT and (225)Ac-Dotatate Therapy for Somatostatin Receptor-expressing Metastatic Breast Cancer.
    Radiology. 2024;312:e233408.
    >> Share

  28. JOGI A, Johnson K, Wittgren S, Sundgren V, et al
    Assessing Digital Breast Tomosynthesis Impact on Early Cancer Detection: Insights from Consecutive Screening.
    Radiology. 2024;312:e233417.
    >> Share

    June 2024
  29. LEE AY, Friedewald SM
    Clinical Implementation of AI in Screening Mammography: The Essential Role of Prospective Evaluation.
    Radiology. 2024;311:e241124.
    >> Share

  30. LAURITZEN AD, Lillholm M, Lynge E, Nielsen M, et al
    Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer.
    Radiology. 2024;311:e232479.
    >> Share

  31. GUO X, Zhou N, Liu J, Ding J, et al
    Comparison of an Affibody-based Molecular Probe and (18)F-FDG for Detecting HER2-Positive Breast Cancer at PET/CT.
    Radiology. 2024;311:e232209.
    >> Share

  32. MANN RM
    Breast Screening with US Transmission Imaging: A New Approach Yielding Old Results.
    Radiology. 2024;311:e241074.
    >> Share

  33. ULANER GA
    HER2-targeted PET for Patients with Breast Cancer: Scintillating Data.
    Radiology. 2024;311:e240814.
    >> Share

  34. YAMASHITA MW, Larsen LH, Perez J, Edwards AV, et al
    Comparison of Mammography and Mammography with Supplemental Whole-Breast US Tomography for Cancer Detection in Patients with Dense Breasts.
    Radiology. 2024;311:e231680.
    >> Share

    May 2024
  35. TURKBEY B
    Use of Molecular Imaging to Further Investigate PI-RADS 3 Lesions.
    Radiology. 2024;311:e240401.
    >> Share

  36. POTSCH N, Sodano C, Baltzer PAT
    Performance of Diffusion-weighted Imaging-based Noncontrast MRI Protocols for Diagnosis of Breast Cancer: A Systematic Review and Meta-Analysis.
    Radiology. 2024;311:e232508.
    >> Share

  37. KATAOKA M, Iima M
    Potential of the Diffusion-based Noncontrast Protocol for Breast Imaging: Current Status and Hints for Improvements.
    Radiology. 2024;311:e241058.
    >> Share

  38. NGUYEN DL, Ren Y, Jones TM, Thomas SM, et al
    Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies.
    Radiology. 2024;311:e232286.
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    April 2024
  39. KIM MK, Chang JM
    AI-driven Selection of Candidates for Supplemental Breast Cancer Screening.
    Radiology. 2024;311:e240447.
    >> Share

  40. 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.
    >> Share

  41. BERG WA, Berg JM, Bandos AI, Vargo A, et al
    Addition of Contrast-enhanced Mammography to Tomosynthesis for Breast Cancer Detection in Women with a Personal History of Breast Cancer: Prospective TOCEM Trial Interim Analysis.
    Radiology. 2024;311:e231991.
    >> Share

  42. COZZI A, Pinker K, Hidber A, Zhang T, et al
    BI-RADS Category Assignments by GPT-3.5, GPT-4, and Google Bard: A Multilanguage Study.
    Radiology. 2024;311:e232133.
    >> Share

    March 2024
  43. 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.
    >> Share

  44. 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.
    >> Share

  45. 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.
    >> Share

  46. KUHL CK
    Abbreviated Breast MRI: State of the Art.
    Radiology. 2024;310:e221822.
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    February 2024
  47. 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.
    >> Share

    January 2024
  48. 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.
    >> Share

  49. ZHOU W, Rahbar H
    Quantitative Breast Parenchymal Enhancement to Predict Breast Cancer Recurrence.
    Radiology. 2024;310:e240021.
    >> Share

  50. 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.
    >> Share

    December 2023
  51. HA SM, Chang JM
    Breast Cancer Detection: Digital Breast Tomosynthesis with Synthesized Mammography versus Digital Mammography.
    Radiology. 2023;309:e232911.
    >> Share

  52. 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.
    >> Share

  53. PESAPANE F, Cassano E
    Enhancing Breast Imaging Practices: Addressing False-Positive Findings, Personalization, and Equitable Access.
    Radiology. 2023;309:e232189.
    >> Share

    November 2023
  54. 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.
    >> Share

  55. 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.
    >> Share

  56. NISHIKAWA RM, Lu AH
    AI in Screening Mammography: Use One Radiologist and Improve Double Reads.
    Radiology. 2023;309:e232964.
    >> Share

    October 2023
  57. 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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  58. MEHTA TS
    Leveraging Differences in AI and Human "Vision" to Improve Breast Cancer Detection.
    Radiology. 2023;309:e232520.
    >> Share

    September 2023
  59. 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.
    >> Share

  60. 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.
    >> Share

  61. BAE MS
    Mammography-based Deep Learning for Breast Cancer Risk Assessment for Supplemental MRI Screening.
    Radiology. 2023;308:e232226.
    >> Share

  62. 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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  63. BOKACHEVA L
    Automated Background Parenchymal Enhancement Measurements at MRI to Predict Breast Cancer Risk.
    Radiology. 2023;308:e231765.
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    August 2023
  64. 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.
    >> Share

  65. GRIMM LJ
    Breast MRI Provides New Opportunities to Identify Patients at Higher Risk.
    Radiology. 2023;308:e231633.
    >> Share

  66. 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.
    >> Share

  67. 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.
    >> Share

  68. CHANG JM
    Benefits and Trade-offs of Breast Cancer Screening Using Contrast-enhanced Mammography.
    Radiology. 2023;308:e231652.
    >> Share

  69. 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.
    >> Share

    July 2023
  70. RAUCH GM
    Precision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic Therapy.
    Radiology. 2023;308:e231482.
    >> Share

  71. 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.
    >> Share

  72. 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.
    >> Share

    June 2023
  73. 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.
    >> Share

  74. 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

  75. 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.
    >> Share

  76. 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.
    >> Share

  77. BAHL M, Do S
    Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted Territory.
    Radiology. 2023;307:e231140.
    >> Share

  78. 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.
    >> Share

  79. 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.
    >> Share

    May 2023
  80. 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.
    >> Share

  81. 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.
    >> Share

  82. 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.
    >> Share

  83. 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.
    >> Share

  84. 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.
    >> Share

  85. 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.
    >> Share

  86. BALTZER PAT
    Automation Bias in Breast AI.
    Radiology. 2023;307:e230770.
    >> Share

  87. 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.
    >> Share

  88. 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.
    >> Share

  89. HONDA M, Iima M
    Breast Parenchymal Enhancement as a Predictor of Efficacy for Endocrine Therapy.
    Radiology. 2023;307:e230350.
    >> Share

    April 2023
  90. 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

  91. 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.
    >> Share

  92. 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.
    >> Share

    March 2023
  93. 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.
    >> Share

  94. 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

  95. 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.
    >> Share

  96. 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

  97. 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.
    >> Share

  98. 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.
    >> Share

  99. MOY L
    Change Is Good: The Evolution and Future of Breast Imaging.
    Radiology. 2023;306:e230018.
    >> Share

  100. KUHL CK
    What the Future Holds for the Screening, Diagnosis, and Treatment of Breast Cancer.
    Radiology. 2023;306:e223338.
    >> Share

    February 2023
  101. 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.
    >> Share

  102. 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.
    >> Share

  103. 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.
    >> Share

  104. 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

  105. 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.
    >> Share

    January 2023
  106. 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

  107. 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.
    >> Share

  108. 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

  109. 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

  110. 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

  111. 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.
    >> Share

    December 2022
  112. GUPTA S, Mohindra N, Mehndiratta A, Chaturvedi P, et al
    Case 312.
    Radiology. 2022;305:743-745.
    >> Share

    November 2022
  113. 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

  114. 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.
    >> Share

  115. SLANETZ PJ
    The Potential of Deep Learning to Revolutionize Current Breast MRI Practice.
    Radiology. 2022 Nov 15:222527. doi: 10.1148/radiol.222527.
    >> Share

    October 2022
  116. 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

  117. 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.
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  118. 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.
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  119. 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.
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  120. 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.
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  121. 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.
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    September 2022
  122. KATAOKA M
    Mammographic Density for Personalized Breast Cancer Risk.
    Radiology. 2022 Sep 20:222129. doi: 10.1148/radiol.222129.
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  123. 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.
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  124. 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.
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  125. 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.
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    August 2022
  126. 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.
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  127. 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.
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  128. NIELL BL
    Background Parenchymal Enhancement at Breast MRI: More Is Not Better.
    Radiology. 2022 Aug 30:221901. doi: 10.1148/radiol.221901.
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  129. 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.
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  130. 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.
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  131. 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.
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    July 2022
  132. 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.
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  133. 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.
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  134. 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.
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    June 2022
  135. 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.
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    May 2022
  136. 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.
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  137. KATAOKA M
    The Contribution of Imaging as a Prognostic Marker of Luminal Breast Cancer.
    Radiology. 2022 May 10:220748. doi: 10.1148/radiol.220748.
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  138. 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.
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  139. 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.
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    April 2022
  140. 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.
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  141. 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.
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  142. 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.
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    March 2022
  143. 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.
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    February 2022
  144. 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.
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  145. 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.
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  146. GRIMM LJ, Rahbar H, Abdelmalak M, Hall AH, et al
    Ductal Carcinoma in Situ: State-of-the-Art Review.
    Radiology. 2022;302:246-255.
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  147. KOPANS DB
    Time for Change in Digital Breast Tomosynthesis Research.
    Radiology. 2022;302:293-294.
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    January 2022
  148. 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.
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  149. PHILPOTTS LE
    Advancing Artificial Intelligence to Meet Breast Imaging Needs.
    Radiology. 2022 Jan 18:213101. doi: 10.1148/radiol.213101.
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  150. 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.
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  151. 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.
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    December 2021
  152. FUCHSJAGER MH, Adelsmayr G
    Artificial Intelligence as an Assistant in Breast Cancer Screening.
    Radiology. 2021 Dec 14:212675. doi: 10.1148/radiol.212675.
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  153. 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.
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  154. 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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  155. 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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  156. 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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  157. 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.
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    November 2021
  158. 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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  159. 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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  160. 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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  161. 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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  162. 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
  163. HELLER SL
    Impact of the Pandemic on Breast Cancer Diagnoses.
    Radiology. 2021 Oct 19:212477. doi: 10.1148/radiol.2021212477.
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  164. 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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  165. 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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  166. 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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  167. 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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  168. 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
  169. 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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  170. 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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  171. 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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  172. 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
  173. 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
  174. 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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