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  Breast Cancer

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Articles published in Radiology

Retrieve available abstracts of 136 articles:
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Single Articles

    April 2024
  1. KIM MK, Chang JM
    AI-driven Selection of Candidates for Supplemental Breast Cancer Screening.
    Radiology. 2024;311:e240447.

  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.
    PubMed     Abstract available

  3. 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.
    PubMed     Abstract available

  4. 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.
    PubMed     Abstract available

    March 2024
  5. 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.
    PubMed     Abstract available

  6. 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.

  7. 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.

  8. KUHL CK
    Abbreviated Breast MRI: State of the Art.
    Radiology. 2024;310:e221822.
    PubMed     Abstract available

    February 2024
  9. 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.
    PubMed     Abstract available

    January 2024
  10. 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.

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

  12. 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.
    PubMed     Abstract available

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

  14. 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.
    PubMed     Abstract available

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

    November 2023
  16. 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.
    PubMed     Abstract available

  17. 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.
    PubMed     Abstract available

    AI in Screening Mammography: Use One Radiologist and Improve Double Reads.
    Radiology. 2023;309:e232964.

    October 2023
  19. LARSEN M, Olstad CF, Koch HW, Martiniussen MA, et al
    AI Risk Score on Screening Mammograms Preceding Breast Cancer Diagnosis.
    Radiology. 2023;309:e230989.
    PubMed     Abstract available

  20. MEHTA TS
    Leveraging Differences in AI and Human "Vision" to Improve Breast Cancer Detection.
    Radiology. 2023;309:e232520.

    September 2023
  21. 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.
    PubMed     Abstract available

  22. 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.
    PubMed     Abstract available

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

  24. 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.
    PubMed     Abstract available

    Automated Background Parenchymal Enhancement Measurements at MRI to Predict Breast Cancer Risk.
    Radiology. 2023;308:e231765.

    August 2023
  26. 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.
    PubMed     Abstract available

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

  28. 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.
    PubMed     Abstract available

  29. 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.
    PubMed     Abstract available

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

  31. 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.
    PubMed     Abstract available

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

  33. 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.
    PubMed     Abstract available

  34. 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.

    June 2023
  35. 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.

  36. 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.
    PubMed     Abstract available

  37. 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.
    PubMed     Abstract available

  38. 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.
    PubMed     Abstract available

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

  40. 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.

  41. 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.

    May 2023
  42. 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.
    PubMed     Abstract available

    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.

  44. 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.
    PubMed     Abstract available

  45. 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.

  46. 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.
    PubMed     Abstract available

  47. 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.
    PubMed     Abstract available

    Automation Bias in Breast AI.
    Radiology. 2023;307:e230770.

  49. 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.
    PubMed     Abstract available

  50. 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.
    PubMed     Abstract available

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

    April 2023
  52. 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.

  53. 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.
    PubMed     Abstract available

  54. 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.

    March 2023
  55. 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.
    PubMed     Abstract available

  56. 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.
    PubMed     Abstract available

  57. 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.

  58. 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.

  59. 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.
    PubMed     Abstract available

  60. 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.

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

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

    February 2023
  63. 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.

  64. 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.
    PubMed     Abstract available

  65. 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.

  66. 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.
    PubMed     Abstract available

  67. 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.
    PubMed     Abstract available

    January 2023
  68. 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.
    PubMed     Abstract available

  69. 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.

  70. 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.
    PubMed     Abstract available

  71. 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.

  72. 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.
    PubMed     Abstract available

  73. 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.
    PubMed     Abstract available

    December 2022
  74. GUPTA S, Mohindra N, Mehndiratta A, Chaturvedi P, et al
    Case 312.
    Radiology. 2022;305:743-745.
    PubMed     Abstract available

    November 2022
  75. 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.

  76. 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.
    PubMed     Abstract available

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

    October 2022
  78. 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.
    PubMed     Abstract available

  79. 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.
    PubMed     Abstract available

  80. 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.
    PubMed     Abstract available

  81. 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.
    PubMed     Abstract available

  82. 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.

  83. 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.
    PubMed     Abstract available

    September 2022
    Mammographic Density for Personalized Breast Cancer Risk.
    Radiology. 2022 Sep 20:222129. doi: 10.1148/radiol.222129.

  85. 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.
    PubMed     Abstract available

  86. 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.

  87. 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.

    August 2022
  88. 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.
    PubMed     Abstract available

  89. 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.

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

  91. 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.
    PubMed     Abstract available

  92. 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.
    PubMed     Abstract available

  93. 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.
    PubMed     Abstract available

    July 2022
  94. 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.
    PubMed     Abstract available

  95. 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.
    PubMed     Abstract available

  96. 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.
    PubMed     Abstract available

    June 2022
  97. 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.
    PubMed     Abstract available

    May 2022
  98. 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.
    PubMed     Abstract available

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

  100. 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.
    PubMed     Abstract available

  101. 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.
    PubMed     Abstract available

    April 2022
  102. 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.

  103. 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.
    PubMed     Abstract available

  104. 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.
    PubMed     Abstract available

    March 2022
  105. 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.
    PubMed     Abstract available

    February 2022
  106. 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.

  107. 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.
    PubMed     Abstract available

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

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

    January 2022
  110. 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.
    PubMed     Abstract available

    Advancing Artificial Intelligence to Meet Breast Imaging Needs.
    Radiology. 2022 Jan 18:213101. doi: 10.1148/radiol.213101.

  112. BERNSTEIN MH, Baird GL, Lourenco AP
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