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Breast Cancer

Free Subscription Articles published in Radiology Retrieve available abstracts of 167 articles: HTML format

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October 2024
1. 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.
   PubMed     Abstract available
   
   
   
2. LOBBES MBI
   A Decade of Contrast-enhanced Mammography: Expanding Screening to Women at Intermediate or High Risk for Breast Cancer.
   Radiology. 2024;313:e241970.
   PubMed    
   
   
   
3. TRENTHAM-DIETZ A
   Weighing the Benefits and Risks of Mammography Screening Strategies.
   Radiology. 2024;313:e240819.
   PubMed    
   
   
   September 2024
4. 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.
   PubMed     Abstract available
   
   
   
5. RAUCH GM
   Biomarkers for Personalized Neoadjuvant Therapy in Triple-Negative Breast Cancer: Moving Forward.
   Radiology. 2024;312:e242011.
   PubMed    
   
   
   
6. BAHL M
   Combining AI and Radiomics to Improve the Accuracy of Breast US.
   Radiology. 2024;312:e241795.
   PubMed    
   
   
   
7. 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.
   PubMed     Abstract available
   
   
   
8. KIM SY, Woo OH
   Implications of Digital Breast Tomosynthesis in Breast Cancer Screening: Reducing Advanced Breast Cancers.
   Radiology. 2024;312:e242008.
   PubMed    
   
   
   
9. 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.
   PubMed     Abstract available
   
   
   August 2024
10. 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.
    PubMed     Abstract available
    
    
    
11. HELBICH TH, Kapetas P
    Gradualism: How Supplemental Breast Cancer Screening Will Become a Reality.
    Radiology. 2024;312:e241563.
    PubMed    
    
    
    
12. ZHOU W, Franc BL, DeMartini WB, Rosen EL, et al
    Estrogen Receptor-targeted PET Imaging for Breast Cancer.
    Radiology. 2024;312:e240315.
    PubMed     Abstract available
    
    
    
13. 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.
    PubMed     Abstract available
    
    
    
14. HELBICH TH, Kapetas P
    Erratum for: Gradualism: How Supplemental Breast Cancer Screening Will Become a Reality.
    Radiology. 2024;312:e249019.
    PubMed    
    
    
    
15. 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.
    PubMed     Abstract available
    
    
    July 2024
16. 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.
    PubMed     Abstract available
    
    
    
17. 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.
    PubMed     Abstract available
    
    
    
18. WHITMAN GJ, Destounis SV
    Screening Mammography with AI and Supplemental Breast US: Current Status.
    Radiology. 2024;312:e241362.
    PubMed    
    
    
    
19. LIN F, Choyke PL
    Somatostatin Radioligand Therapy of Breast Cancer: A Target of Opportunity.
    Radiology. 2024;312:e241298.
    PubMed    
    
    
    
20. 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.
    PubMed     Abstract available
    
    
    
21. 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.
    PubMed     Abstract available
    
    
    June 2024
22. LEE AY, Friedewald SM
    Clinical Implementation of AI in Screening Mammography: The Essential Role of Prospective Evaluation.
    Radiology. 2024;311:e241124.
    PubMed    
    
    
    
23. 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.
    PubMed     Abstract available
    
    
    
24. 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.
    PubMed     Abstract available
    
    
    
25. MANN RM
    Breast Screening with US Transmission Imaging: A New Approach Yielding Old Results.
    Radiology. 2024;311:e241074.
    PubMed    
    
    
    
26. ULANER GA
    HER2-targeted PET for Patients with Breast Cancer: Scintillating Data.
    Radiology. 2024;311:e240814.
    PubMed    
    
    
    
27. 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.
    PubMed     Abstract available
    
    
    May 2024
28. TURKBEY B
    Use of Molecular Imaging to Further Investigate PI-RADS 3 Lesions.
    Radiology. 2024;311:e240401.
    PubMed    
    
    
    
29. 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.
    PubMed     Abstract available
    
    
    
30. KATAOKA M, Iima M
    Potential of the Diffusion-based Noncontrast Protocol for Breast Imaging: Current Status and Hints for Improvements.
    Radiology. 2024;311:e241058.
    PubMed    
    
    
    
31. 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.
    PubMed     Abstract available
    
    
    April 2024
32. KIM MK, Chang JM
    AI-driven Selection of Candidates for Supplemental Breast Cancer Screening.
    Radiology. 2024;311:e240447.
    PubMed    
    
    
    
33. 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
    
    
    
34. 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
    
    
    
35. 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
36. 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
    
    
    
37. 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    
    
    
    
38. 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    
    
    
    
39. KUHL CK
    Abbreviated Breast MRI: State of the Art.
    Radiology. 2024;310:e221822.
    PubMed     Abstract available
    
    
    February 2024
40. 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
41. 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    
    
    
    
42. ZHOU W, Rahbar H
    Quantitative Breast Parenchymal Enhancement to Predict Breast Cancer Recurrence.
    Radiology. 2024;310:e240021.
    PubMed    
    
    
    
43. 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
44. HA SM, Chang JM
    Breast Cancer Detection: Digital Breast Tomosynthesis with Synthesized Mammography versus Digital Mammography.
    Radiology. 2023;309:e232911.
    PubMed    
    
    
    
45. 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
    
    
    
46. PESAPANE F, Cassano E
    Enhancing Breast Imaging Practices: Addressing False-Positive Findings, Personalization, and Equitable Access.
    Radiology. 2023;309:e232189.
    PubMed    
    
    
    November 2023
47. 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
    
    
    
48. 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
    
    
    
49. NISHIKAWA RM, Lu AH
    AI in Screening Mammography: Use One Radiologist and Improve Double Reads.
    Radiology. 2023;309:e232964.
    PubMed    
    
    
    October 2023
50. 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
    
    
    
51. MEHTA TS
    Leveraging Differences in AI and Human "Vision" to Improve Breast Cancer Detection.
    Radiology. 2023;309:e232520.
    PubMed    
    
    
    September 2023
52. 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
    
    
    
53. 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
    
    
    
54. BAE MS
    Mammography-based Deep Learning for Breast Cancer Risk Assessment for Supplemental MRI Screening.
    Radiology. 2023;308:e232226.
    PubMed    
    
    
    
55. 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
    
    
    
56. BOKACHEVA L
    Automated Background Parenchymal Enhancement Measurements at MRI to Predict Breast Cancer Risk.
    Radiology. 2023;308:e231765.
    PubMed    
    
    
    August 2023
57. 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
    
    
    
58. GRIMM LJ
    Breast MRI Provides New Opportunities to Identify Patients at Higher Risk.
    Radiology. 2023;308:e231633.
    PubMed    
    
    
    
59. 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
    
    
    
60. 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
    
    
    
61. CHANG JM
    Benefits and Trade-offs of Breast Cancer Screening Using Contrast-enhanced Mammography.
    Radiology. 2023;308:e231652.
    PubMed    
    
    
    
62. 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
63. RAUCH GM
    Precision Imaging: One Step Closer to Pretreatment Prediction of Breast Cancer Response to Neoadjuvant Systemic Therapy.
    Radiology. 2023;308:e231482.
    PubMed    
    
    
    
64. 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
    
    
    
65. 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
66. 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    
    
    
    
67. 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
    
    
    
68. 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
    
    
    
69. 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
    
    
    
70. BAHL M, Do S
    Artificial Intelligence Applied to Contrast-enhanced Mammography: Exploring Uncharted Territory.
    Radiology. 2023;307:e231140.
    PubMed    
    
    
    
71. 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    
    
    
    
72. 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
73. 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
    
    
    
74. 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    
    
    
    
75. 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
    
    
    
76. 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    
    
    
    
77. 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
    
    
    
78. 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
    
    
    
79. BALTZER PAT
    Automation Bias in Breast AI.
    Radiology. 2023;307:e230770.
    PubMed    
    
    
    
80. 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
    
    
    
81. 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
    
    
    
82. HONDA M, Iima M
    Breast Parenchymal Enhancement as a Predictor of Efficacy for Endocrine Therapy.
    Radiology. 2023;307:e230350.
    PubMed    
    
    
    April 2023
83. 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    
    
    
    
84. 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
    
    
    
85. 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
86. 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
    
    
    
87. 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
    
    
    
88. 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    
    
    
    
89. 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    
    
    
    
90. 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
    
    
    
91. 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    
    
    
    
92. MOY L
    Change Is Good: The Evolution and Future of Breast Imaging.
    Radiology. 2023;306:e230018.
    PubMed    
    
    
    
93. KUHL CK
    What the Future Holds for the Screening, Diagnosis, and Treatment of Breast Cancer.
    Radiology. 2023;306:e223338.
    PubMed    
    
    
    February 2023
94. 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    
    
    
    
95. 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
    
    
    
96. 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    
    
    
    
97. 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
    
    
    
98. 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
99. 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
    
    
    
100. 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    
     
     
     
101. 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
     
     
     
102. 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    
     
     
     
103. 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
     
     
     
104. 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
105. GUPTA S, Mohindra N, Mehndiratta A, Chaturvedi P, et al
     Case 312.
     Radiology. 2022;305:743-745.
     PubMed     Abstract available
     
     
     November 2022
106. LOBBES MBI, Jochelson MS, Neeter LMFH, Nelemans PJ, et al
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124. TAKAMATSU A, Yoshida K, Toshima F, Kozaka K, et al
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125. RAMTOHUL T, Tescher C, Vaflard P, Cyrta J, et al
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126. KIM G, Mehta TS, Brook A, Du LH, et al
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127. LEE SA, Lee Y, Ryu HS, Jang MJ, et al
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147. ROMERO-MARTIN S, Elias-Cabot E, Raya-Povedano JL, Gubern-Merida A, et al
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153. MORI N, Mugikura S, Takase K
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155. PISANO ED
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159. MANKOFF DA, Sellmyer MA
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