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Breast Cancer

Free Subscription Articles published in Radiology Retrieve available abstracts of 134 articles: HTML format

Single Articles

April 2024
1. KIM MK, Chang JM
   AI-driven Selection of Candidates for Supplemental Breast Cancer Screening.
   Radiology. 2024;311:e240447.
   PubMed    
   
   
   
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
   
   
   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.
   PubMed     Abstract available
   
   
   
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.
   PubMed    
   
   
   
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.
   PubMed    
   
   
   
6. KUHL CK
   Abbreviated Breast MRI: State of the Art.
   Radiology. 2024;310:e221822.
   PubMed     Abstract available
   
   
   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.
   PubMed     Abstract available
   
   
   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.
   PubMed    
   
   
   
9. ZHOU W, Rahbar H
   Quantitative Breast Parenchymal Enhancement to Predict Breast Cancer Recurrence.
   Radiology. 2024;310:e240021.
   PubMed    
   
   
   
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.
    PubMed     Abstract available
    
    
    December 2023
11. HA SM, Chang JM
    Breast Cancer Detection: Digital Breast Tomosynthesis with Synthesized Mammography versus Digital Mammography.
    Radiology. 2023;309:e232911.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
13. PESAPANE F, Cassano E
    Enhancing Breast Imaging Practices: Addressing False-Positive Findings, Personalization, and Equitable Access.
    Radiology. 2023;309:e232189.
    PubMed    
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
16. NISHIKAWA RM, Lu AH
    AI in Screening Mammography: Use One Radiologist and Improve Double Reads.
    Radiology. 2023;309:e232964.
    PubMed    
    
    
    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.
    PubMed     Abstract available
    
    
    
18. MEHTA TS
    Leveraging Differences in AI and Human "Vision" to Improve Breast Cancer Detection.
    Radiology. 2023;309:e232520.
    PubMed    
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
21. BAE MS
    Mammography-based Deep Learning for Breast Cancer Risk Assessment for Supplemental MRI Screening.
    Radiology. 2023;308:e232226.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
23. BOKACHEVA L
    Automated Background Parenchymal Enhancement Measurements at MRI to Predict Breast Cancer Risk.
    Radiology. 2023;308:e231765.
    PubMed    
    
    
    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.
    PubMed     Abstract available
    
    
    
25. GRIMM LJ
    Breast MRI Provides New Opportunities to Identify Patients at Higher Risk.
    Radiology. 2023;308:e231633.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
28. CHANG JM
    Benefits and Trade-offs of Breast Cancer Screening Using Contrast-enhanced Mammography.
    Radiology. 2023;308:e231652.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
37. BAHL M, Do S
    Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted Territory.
    Radiology. 2023;307:e231140.
    PubMed    
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed    
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
46. BALTZER PAT
    Automation Bias in Breast AI.
    Radiology. 2023;307:e230770.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
49. HONDA M, Iima M
    Breast Parenchymal Enhancement as a Predictor of Efficacy for Endocrine Therapy.
    Radiology. 2023;307:e230350.
    PubMed    
    
    
    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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
59. MOY L
    Change Is Good: The Evolution and Future of Breast Imaging.
    Radiology. 2023;306:e230018.
    PubMed    
    
    
    
60. KUHL CK
    What the Future Holds for the Screening, Diagnosis, and Treatment of Breast Cancer.
    Radiology. 2023;306:e223338.
    PubMed    
    
    
    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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    December 2022
72. GUPTA S, Mohindra N, Mehndiratta A, Chaturvedi P, et al
    Case 312.
    Radiology. 2022;305:743-745.
    PubMed     Abstract available
    
    
    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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
75. SLANETZ PJ
    The Potential of Deep Learning to Revolutionize Current Breast MRI Practice.
    Radiology. 2022 Nov 15:222527. doi: 10.1148/radiol.222527.
    PubMed    
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    September 2022
82. KATAOKA M
    Mammographic Density for Personalized Breast Cancer Risk.
    Radiology. 2022 Sep 20:222129. doi: 10.1148/radiol.222129.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed    
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
88. NIELL BL
    Background Parenchymal Enhancement at Breast MRI: More Is Not Better.
    Radiology. 2022 Aug 30:221901. doi: 10.1148/radiol.221901.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    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.
    PubMed     Abstract available
    
    
    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.
    PubMed     Abstract available
    
    
    
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.
    PubMed    
    
    
    
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.
    PubMed     Abstract available
    
    
    
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.
    PubMed     Abstract available
    
    
    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.
     PubMed    
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     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.
     PubMed     Abstract available
     
     
     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.
     PubMed    
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     
107. KOPANS DB
     Time for Change in Digital Breast Tomosynthesis Research.
     Radiology. 2022;302:293-294.
     PubMed    
     
     
     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.
     PubMed     Abstract available
     
     
     
109. PHILPOTTS LE
     Advancing Artificial Intelligence to Meet Breast Imaging Needs.
     Radiology. 2022 Jan 18:213101. doi: 10.1148/radiol.213101.
     PubMed    
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     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.
     PubMed    
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed    
     
     
     
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.
     PubMed     Abstract available
     
     
     
122. PISANO ED
     How Radiologists Can Improve Breast Cancer Screening.
     Radiology. 2021 Nov 9:211525. doi: 10.1148/radiol.2021211525.
     PubMed    
     
     
     October 2021
123. HELLER SL
     Impact of the Pandemic on Breast Cancer Diagnoses.
     Radiology. 2021 Oct 19:212477. doi: 10.1148/radiol.2021212477.
     PubMed    
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed    
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     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.
     PubMed     Abstract available
     
     
     
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.
     PubMed    
     
     
     
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.
     PubMed     Abstract available
     
     
     
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.
     PubMed     Abstract available
     
     
     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.
     PubMed     Abstract available
     
     
     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.
     PubMed     Abstract available
     
     

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