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Breast Cancer

Free Subscription Articles published in Radiology Retrieve available abstracts of 119 articles: HTML format

Single Articles

September 2026
1. FU Q, Zeng Y, Chang R, Xu Z, et al
   Performance of Photon-counting CT for Assessing Pretreatment Breast Cancer: Comparison with Mammography, MRI, and (18)F-FDG PET/CT.
   Radiology. 2026;320:e253531.
   PubMed     Abstract available
   
   
   August 2026
2. DORFNER FJ, Dorster MA, Connolly R, Gentilhomme O, et al
   DBT-DINO: Toward Foundation Model-Based Analysis of Digital Breast Tomosynthesis.
   Radiology. 2026;320:e254034.
   PubMed     Abstract available
   
   
   July 2026
3. TAIB AG, Partridge GJW, Phillips P, Maxwell-Armstrong C, et al
   Automation Bias in Action: Eye Tracking of Humans Reading Screening Mammograms with and without AI Prompts.
   Radiology. 2026;320:e252590.
   PubMed     Abstract available
   
   
   
4. SCHIAFFINO S, Cozzi A
   Real-world Lessons for AI in Breast Cancer Screening: One Size Does Not Fit All.
   Radiology. 2026;320:e261852.
   PubMed    
   
   
   
5. MCCABE MP, Wakelin EA, Louis LD, Ng AY, et al
   Closing the Performance Gap between Generalists and Breast Imaging Specialists Using a Nationally Deployed AI Workflow for Screening Mammography.
   Radiology. 2026;320:e252005.
   PubMed     Abstract available
   
   
   
6. LEE CH, Amir T, Sevilimedu V, Eskreis-Winkler S, et al
   Contrast-enhanced Mammography for Breast Cancer Screening in Women at Increased Risk: Comparison of Prevalence and Incidence Screens.
   Radiology. 2026;320:e252433.
   PubMed     Abstract available
   
   
   June 2026
7. BAHL M, Mercaldo S, Lamb LR
   Impact of AI-based Slab Reconstruction Technology on the Diagnostic Accuracy of Screening Digital Breast Tomosynthesis.
   Radiology. 2026;319:e252685.
   PubMed     Abstract available
   
   
   
8. HICKMAN S, Gialias P, Schurz H, Cossio F, et al
   Artificial Intelligence Detection Scores in Screening Mammography for Early Breast Cancer Alerts.
   Radiology. 2026;319:e251309.
   PubMed     Abstract available
   
   
   
9. MANN RM, Wang X
   Beyond Static Prediction: Tracking AI Breast Cancer Risk over Time.
   Radiology. 2026;319:e261198.
   PubMed    
   
   
   
10. LEHMAN CD, Mercaldo SF, Azam S, Tamimi RM, et al
    Longitudinal Analysis of Changes in Deep Learning Image-based Breast Cancer Risk Scores over Time.
    Radiology. 2026;319:e253023.
    PubMed     Abstract available
    
    
    April 2026
11. LO GULLO R, Surovitsky M, Kim D, Sevilimedu V, et al
    Abbreviated MRI for the Evaluation of Treatment Response in Patients Undergoing Neoadjuvant Chemotherapy for Breast Cancer.
    Radiology. 2026;319:e252413.
    PubMed     Abstract available
    
    
    February 2026
12. FUCHSJAGER MH, Adelsmayr G
    Background Parenchymal Enhancement and Race: An Emerging MRI Breast Cancer Risk Predictor.
    Radiology. 2026;318:e254037.
    PubMed    
    
    
    January 2026
13. CHANG JM, Leung JWT, Heacock L, Lee SH, et al
    Breast US: State of the Art.
    Radiology. 2026;318:e233101.
    PubMed     Abstract available
    
    
    
14. MAHMOUD MA, Chen J, Edmonds CE, Fayanju OM, et al
    Black-White Racial Differences in Background Parenchymal Enhancement at Breast MRI.
    Radiology. 2026;318:e251041.
    PubMed     Abstract available
    
    
    December 2025
15. EOM HJ, Cha JH, Cho SM, Kim HJ, et al
    Interreader Agreement and Diagnostic Confidence in Discriminating Masses and Nonmass Lesions at Breast US.
    Radiology. 2025;317:e250783.
    PubMed     Abstract available
    
    
    
16. ZHENG J, You C, Gu Y
    Capturing Treatment Dynamics: Multi-b-Value Diffusion-weighted Imaging to Advance Response Prediction in Breast Cancer Neoadjuvant Chemotherapy.
    Radiology. 2025;317:e252601.
    PubMed    
    
    
    November 2025
17. COZZI A, Bellini C, Girometti R, Alcantara Souza R, et al
    Tumor Involvement of the Nipple at Preoperative Contrast-enhanced Mammography: A Multicenter Diagnostic Accuracy Study.
    Radiology. 2025;317:e251350.
    PubMed     Abstract available
    
    
    
18. HOU R, Grimm LJ, Marks JR, King LM, et al
    Cross-National Radiomics Validation Using Mammography to Predict Occult Invasion in Ductal Carcinoma in Situ.
    Radiology. 2025;317:e243739.
    PubMed     Abstract available
    
    
    
19. YAO MM, Vy VPT, Lee CS, Chang YC, et al
    Identification of Risk Factors for Interval Breast Cancer in a Population-based Screening Program.
    Radiology. 2025;317:e243918.
    PubMed     Abstract available
    
    
    October 2025
20. PARK VY, Choi JS, Han K, Nahm S, et al
    Imaging Features and Diagnostic Performance of US in Nonmass Lesions with Varying Clinical Indications.
    Radiology. 2025;317:e243398.
    PubMed     Abstract available
    
    
    
21. COHEN EO, Tso HH, Shin K, Martaindale SR, et al
    Feasibility of Auditing Preoperative Breast MRI for Extent-of-Disease Evaluation Using the BI-RADS v2025 Manual.
    Radiology. 2025;317:e243803.
    PubMed     Abstract available
    
    
    
22. YOEN H, Shin HC, Yoon KH, Oh JH, et al
    Preoperative Breast MRI and Survival Outcomes in Women 50 Years or Younger with Breast Cancer.
    Radiology. 2025;317:e250439.
    PubMed     Abstract available
    
    
    
23. ROTHWELL JWD, Rogers P, Payne NR, Huang Y, et al
    Evaluation of a Mammography-based Deep Learning Model for Breast Cancer Risk Prediction in a Triennial Screening Program.
    Radiology. 2025;317:e250391.
    PubMed     Abstract available
    
    
    September 2025
24. KIM HJ, Chae EY, Eom HJ, Choi WJ, et al
    Node Reporting and Data System Evaluation of Axillary Nodes in Invasive Ductal and Lobular Carcinoma.
    Radiology. 2025;316:e243823.
    PubMed     Abstract available
    
    
    
25. FREITAS V
    Node Reporting and Data System in Focus: Advancing Precision in Axillary Staging for Breast Cancer.
    Radiology. 2025;316:e252033.
    PubMed    
    
    
    
26. KO ES, Yu JH, Woo SY, Kim SW, et al
    Calcifications Affect Pathologic Complete Response and MRI Prediction after Neoadjuvant Chemotherapy in Human Epidermal Growth Factor Receptor 2-positive Breast Cancer.
    Radiology. 2025;316:e250718.
    PubMed     Abstract available
    
    
    
27. MESUROLLE B, El Khoury M
    False-Positive Recall and Biopsy Rates in Breast Cancer Screening: Insights from TOSYMA.
    Radiology. 2025;316:e252367.
    PubMed    
    
    
    
28. WEIGEL S, Hense HW, Weyer-Elberich V, Gerss J, et al
    False-Positive Recall and False-Positive Biopsy Rates in Mammography Screening: A TOSYMA Trial Subanalysis.
    Radiology. 2025;316:e251014.
    PubMed     Abstract available
    
    
    
29. HRUSKA CB, Hunt KN, Larson NB, Miller PA, et al
    Molecular Breast Imaging and Digital Breast Tomosynthesis for Dense Breast Screening: The Density MATTERS Trial.
    Radiology. 2025;316:e243953.
    PubMed     Abstract available
    
    
    
30. KO ES, Yu JH, Woo SY, Kim SW, et al
    Erratum for: Calcifications Affect Pathologic Complete Response and MRI Prediction after Neoadjuvant Chemotherapy in Human Epidermal Growth Factor Receptor 2-positive Breast Cancer.
    Radiology. 2025;316:e259015.
    PubMed    
    
    
    August 2025
31. ULANER GA
    Detection of Oligometastatic Disease in Breast Cancer: It's the Little Things That Count.
    Radiology. 2025;316:e251797.
    PubMed    
    
    
    
32. YEH R, D'Andrea G
    In Vivo Imaging for Assessing Receptor Status in Breast Cancer.
    Radiology. 2025;316:e243832.
    PubMed    
    
    
    
33. METSER U, Ali Mirshahvalad S, Dayes IS, Parpia S, et al
    (18)F-FDG PET/CT of Oligometastatic Disease in Locally Advanced Breast Cancer: PETABC Trial Post Hoc Analysis.
    Radiology. 2025;316:e243788.
    PubMed     Abstract available
    
    
    
34. CHEN Y, Partridge GJW, Vazirabad M, Ball RL, et al
    Performance of Algorithms Submitted in the 2023 RSNA Screening Mammography Breast Cancer Detection AI Challenge.
    Radiology. 2025;316:e241447.
    PubMed     Abstract available
    
    
    
35. VERBOOM SD, Kroes J, Pires S, Broeders MJM, et al
    AI Should Read Mammograms Only When Confident: A Hybrid Breast Cancer Screening Reading Strategy.
    Radiology. 2025;316:e242594.
    PubMed     Abstract available
    
    
    
36. WOOLDRIK SM, van de Voort EMF, Struik GM, Schouten BJM, et al
    Percutaneous Thermal Ablation for Early-Stage Breast Cancer: An Open-Label, Randomized, Phase II Trial to Select the Preferred Technique for Evaluating Thermal Ablation as a Surgical Alternative.
    Radiology. 2025;316:e243386.
    PubMed    
    
    
    
37. HUANG Y, Song X, Chen Y, Qiu H, et al
    Intratumoral Microbiome-related MRI Model for Predicting Breast Cancer Shrinkage Pattern Following Neoadjuvant Therapy.
    Radiology. 2025;316:e243545.
    PubMed     Abstract available
    
    
    July 2025
38. ONISHI N
    Breast MRI for Assessing Triple-Negative Breast Cancer after Neoadjuvant Chemoimmunotherapy.
    Radiology. 2025;316:e251503.
    PubMed    
    
    
    
39. RAMTOHUL T, Lollivier D, Spriet J, Jin M, et al
    Posttreatment MRI to Predict Pathologic Complete Response of Triple-Negative Breast Cancer to Neoadjuvant Chemoimmunotherapy.
    Radiology. 2025;316:e243824.
    PubMed     Abstract available
    
    
    
40. GOMMERS JJJ, Verboom SD, Duvivier KM, van Rooden CJ, et al
    Influence of AI Decision Support on Radiologists' Performance and Visual Search in Screening Mammography.
    Radiology. 2025;316:e243688.
    PubMed     Abstract available
    
    
    
41. OVIEDO F, Kazerouni AS, Liznerski P, Xu Y, et al
    Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection.
    Radiology. 2025;316:e241629.
    PubMed     Abstract available
    
    
    
42. BAE MS, Ham S
    Explainable AI in MRI for Breast Cancer Detection: Another Step Forward.
    Radiology. 2025;316:e251790.
    PubMed    
    
    
    
43. GONG X, Wang X, Wang L, Zeng X, et al
    Comparing Multi-b-Value Diffusion MRI Models for Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer.
    Radiology. 2025;316:e242969.
    PubMed     Abstract available
    
    
    
44. THAKUR SB, Bitencourt AGV
    Precision Imaging in Breast Cancer: Neoadjuvant Chemotherapy Monitoring with Advanced Diffusion MRI.
    Radiology. 2025;316:e251723.
    PubMed    
    
    
    
45. BAHL M, Langarica S, Lamb LR, Kniss AS, et al
    AI to Reduce the Interval Cancer Rate of Screening Digital Breast Tomosynthesis.
    Radiology. 2025;316:e241050.
    PubMed     Abstract available
    
    
    
46. LEE CI, Milch HS
    Clinically Meaningful AI Detection of Interval Breast Cancer at Digital Breast Tomosynthesis Screening.
    Radiology. 2025;316:e251860.
    PubMed    
    
    
    June 2025
47. ESKREIS-WINKLER S, Bhowmik A, Kelly LH, Lo Gullo R, et al
    Adaptive Breast MRI Scanning Using AI.
    Radiology. 2025;315:e242924.
    PubMed     Abstract available
    
    
    
48. HONDA M, Iima M
    Preoperative Diffusion-weighted Imaging to Reduce the Burden on Patients with Breast Cancer.
    Radiology. 2025;315:e250964.
    PubMed    
    
    
    
49. KIM HJ, Partridge SC, Lee J, Yoen H, et al
    Preoperative Diagnosis of Ipsilateral and Contralateral Breast Cancer: Role of Diffusion-weighted MRI.
    Radiology. 2025;315:e242423.
    PubMed     Abstract available
    
    
    
50. BERG WA, Vargo A, Lu AH, Berg JM, et al
    Screening for Breast Cancer with Contrast-enhanced Mammography as an Alternative to MRI: SCEMAM Trial Results.
    Radiology. 2025;315:e242634.
    PubMed     Abstract available
    
    
    
51. KIM HJ, Partridge SC, Lee J, Yoen H, et al
    Erratum for: Preoperative Diagnosis of Ipsilateral and Contralateral Breast Cancer: Role of Diffusion-weighted MRI.
    Radiology. 2025;315:e259012.
    PubMed    
    
    
    
52. WOO OH, Song SE, Choe SJ, Kim M, et al
    Invasive Breast Cancers Missed by AI Screening of Mammograms.
    Radiology. 2025;315:e242408.
    PubMed     Abstract available
    
    
    May 2025
53. BODE M, Morscheid S, Iordanishvili E, Huck LC, et al
    Intraindividual Comparison of Ultrafast versus Standard Two-dimensional Dynamic Contrast-enhanced Breast MRI.
    Radiology. 2025;315:e241371.
    PubMed     Abstract available
    
    
    
54. WINHAM SJ, McCarthy AM, Scott CG, Gastounioti A, et al
    Radiomic Parenchymal Phenotypes of Breast Texture from Mammography and Association with Risk of Breast Cancer.
    Radiology. 2025;315:e240281.
    PubMed     Abstract available
    
    
    
55. MESUROLLE B, El Khoury M
    Breast Cancer Risk Prediction with Radiomic Tissue Characterization on Mammograms Takes Shape.
    Radiology. 2025;315:e250622.
    PubMed    
    
    
    
56. VAN GRINSVEN SEL, Mann RM, Monninkhof EM, Duvivier K, et al
    Multireader Diagnostic Accuracy of Abbreviated Breast MRI for Screening Women with Extremely Dense Breasts.
    Radiology. 2025;315:e241233.
    PubMed     Abstract available
    
    
    
57. BECHYNA S, Baltzer PAT
    Impact of Background Parenchymal Enhancement on Diagnostic Performance of Breast MRI: A Systematic Review and Meta-Analysis.
    Radiology. 2025;315:e241919.
    PubMed     Abstract available
    
    
    April 2025
58. SLAVKOVA KP, Kang R, Kazerouni AS, Biswas D, et al
    MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial).
    Radiology. 2025;315:e241628.
    PubMed     Abstract available
    
    
    
59. HA SM, Lee JM, Jang MJ, Kim HK, et al
    Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomy.
    Radiology. 2025;315:e242955.
    PubMed     Abstract available
    
    
    
60. HUANG Y, Wang X, Cao Y, Lan X, et al
    Nomogram for Predicting Neoadjuvant Chemotherapy Response in Breast Cancer Using MRI-based Intratumoral Heterogeneity Quantification.
    Radiology. 2025;315:e241805.
    PubMed     Abstract available
    
    
    
61. AUTIER P, Burrion JB, Grivegnee A
    Artificial Intelligence System for Interval Breast Cancer Detection May Swamp Screening Programs.
    Radiology. 2025;315:e242698.
    PubMed    
    
    
    
62. KIM HJ, Choi WJ, Eom HJ, Chae EY, et al
    Impact of Preoperative MRI on Survival Outcomes in Patients with HER2-positive and Hormone Receptor-negative Breast Cancer.
    Radiology. 2025;315:e242712.
    PubMed     Abstract available
    
    
    
63. IMBRIACO M, Ponsiglione A
    Preoperative MRI and Long-term Outcomes in Patients with HER2-positive and Hormone Receptor-negative Breast Cancer: A Matched Cohort Study.
    Radiology. 2025;315:e250532.
    PubMed    
    
    
    March 2025
64. KNIP JJ, Iqbal R, Bonjer EC, Mammatas LH, et al
    The Diagnostic Accuracy of (18)F-FDG PET and (18)F-FES PET for Staging Grade 1-2 Estrogen Receptor-Positive Breast Cancer.
    Radiology. 2025;314:e241850.
    PubMed     Abstract available
    
    
    
65. FOWLER AM
    (18)F-Fluoroestradiol PET/CT for Staging Low-Grade Estrogen Receptor-Positive Breast Cancer.
    Radiology. 2025;314:e250135.
    PubMed    
    
    
    
66. DEMBROWER KE, Crippa A, Eklund M, Strand F, et al
    Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader.
    Radiology. 2025;314:e242566.
    PubMed     Abstract available
    
    
    
67. HORVAT JV, Amir T, Watt GP, Comstock CE, et al
    Comparison of Contrast-enhanced Mammography and Low-Energy Imaging with or without Supplemental Whole-Breast US in Breast Cancer Detection.
    Radiology. 2025;314:e242006.
    PubMed     Abstract available
    
    
    February 2025
68. VAN WINKEL SL, Samperna R, Loehrer EA, Kroes J, et al
    Using AI to Select Women with Intermediate Breast Cancer Risk for Breast Screening with MRI.
    Radiology. 2025;314:e233067.
    PubMed     Abstract available
    
    
    
69. NISSAN N, Sevilimedu V, Gluskin J, Arita Y, et al
    Hormonal Regulation of Background Parenchymal Enhancement at Contrast-enhanced Mammography.
    Radiology. 2025;314:e241158.
    PubMed     Abstract available
    
    
    
70. LAWSON MB, Zhu W, Miglioretti DL, Onega T, et al
    Disparities in Standard-of-Care, Advanced, and Same-Day Diagnostic Services among Patients with Abnormal Screening Mammography.
    Radiology. 2025;314:e241673.
    PubMed     Abstract available
    
    
    January 2025
71. YOON J, Han K, Nahm S, Kim MJ, et al
    Surveillance Breast MRI in Women with a History of Breast Cancer: Association with Occurrence of Advanced Second Breast Cancer.
    Radiology. 2025;314:e240119.
    PubMed     Abstract available
    
    
    December 2024
72. KIM E, Moy L
    Distant-Stage Breast Cancer Incidence Is Increasing in U.S. Women across Age Groups and Race and Ethnicity Groups.
    Radiology. 2024;313:e242716.
    PubMed    
    
    
    
73. HENDRICK RE, Monticciolo DL
    Surveillance, Epidemiology, and End Results Data Show Increasing Rates of Distant-Stage Breast Cancer at Presentation in U.S. Women.
    Radiology. 2024;313:e241397.
    PubMed     Abstract available
    
    
    November 2024
74. 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.
    PubMed     Abstract available
    
    
    
75. 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.
    PubMed     Abstract available
    
    
    
76. 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.
    PubMed     Abstract available
    
    
    October 2024
77. 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
    
    
    
78. 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    
    
    
    
79. TRENTHAM-DIETZ A
    Weighing the Benefits and Risks of Mammography Screening Strategies.
    Radiology. 2024;313:e240819.
    PubMed    
    
    
    
80. GRIMM LJ
    A New Paradigm for Reading Screening Mammograms.
    Radiology. 2024;313:e242141.
    PubMed    
    
    
    
81. 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.
    PubMed     Abstract available
    
    
    
82. PARTRIDGE SC, Xu J
    Cellular Characterization of Breast Cancer Using Microstructural Diffusion MRI.
    Radiology. 2024;313:e242268.
    PubMed    
    
    
    
83. 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.
    PubMed     Abstract available
    
    
    September 2024
84. 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
    
    
    
85. RAUCH GM
    Biomarkers for Personalized Neoadjuvant Therapy in Triple-Negative Breast Cancer: Moving Forward.
    Radiology. 2024;312:e242011.
    PubMed    
    
    
    
86. BAHL M
    Combining AI and Radiomics to Improve the Accuracy of Breast US.
    Radiology. 2024;312:e241795.
    PubMed    
    
    
    
87. 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
    
    
    
88. KIM SY, Woo OH
    Implications of Digital Breast Tomosynthesis in Breast Cancer Screening: Reducing Advanced Breast Cancers.
    Radiology. 2024;312:e242008.
    PubMed    
    
    
    
89. 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
90. 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
    
    
    
91. HELBICH TH, Kapetas P
    Gradualism: How Supplemental Breast Cancer Screening Will Become a Reality.
    Radiology. 2024;312:e241563.
    PubMed    
    
    
    
92. 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
    
    
    
93. 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
    
    
    
94. HELBICH TH, Kapetas P
    Erratum for: Gradualism: How Supplemental Breast Cancer Screening Will Become a Reality.
    Radiology. 2024;312:e249019.
    PubMed    
    
    
    
95. 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
96. 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
    
    
    
97. 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
    
    
    
98. WHITMAN GJ, Destounis SV
    Screening Mammography with AI and Supplemental Breast US: Current Status.
    Radiology. 2024;312:e241362.
    PubMed    
    
    
    
99. LIN F, Choyke PL
    Somatostatin Radioligand Therapy of Breast Cancer: A Target of Opportunity.
    Radiology. 2024;312:e241298.
    PubMed    
    
    
    
100. 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
     
     
     
101. 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
102. LEE AY, Friedewald SM
     Clinical Implementation of AI in Screening Mammography: The Essential Role of Prospective Evaluation.
     Radiology. 2024;311:e241124.
     PubMed    
     
     
     
103. 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
     
     
     
104. 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.
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