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Free Subscription Articles published in Radiology Retrieve available abstracts of 74 articles: HTML format

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March 2023
1. 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    
   
   
   
2. 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    
   
   
   
3. MOY L
   Change Is Good: The Evolution and Future of Breast Imaging.
   Radiology. 2023;306:e230018.
   PubMed    
   
   
   
4. KUHL CK
   What the Future Holds for the Screening, Diagnosis, and Treatment of Breast Cancer.
   Radiology. 2023;306:e223338.
   PubMed    
   
   
   February 2023
5. 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    
   
   
   
6. 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
   
   
   
7. 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
8. 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
   
   
   
9. 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    
   
   
   
10. 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    
    
    
    
11. 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
    
    
    
12. 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
13. GUPTA S, Mohindra N, Mehndiratta A, Chaturvedi P, et al
    Case 312.
    Radiology. 2022;305:743-745.
    PubMed     Abstract available
    
    
    November 2022
14. 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
    
    
    
15. 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
16. 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
    
    
    
17. 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
    
    
    
18. 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
    
    
    
19. 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
    
    
    
20. 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    
    
    
    
21. 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
22. KATAOKA M
    Mammographic Density for Personalized Breast Cancer Risk.
    Radiology. 2022 Sep 20:222129. doi: 10.1148/radiol.222129.
    PubMed    
    
    
    
23. 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
    
    
    
24. 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    
    
    
    
25. 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
26. 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
    
    
    
27. 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    
    
    
    
28. NIELL BL
    Background Parenchymal Enhancement at Breast MRI: More Is Not Better.
    Radiology. 2022 Aug 30:221901. doi: 10.1148/radiol.221901.
    PubMed    
    
    
    
29. 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
    
    
    
30. 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
    
    
    
31. 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
32. 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
    
    
    
33. 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
    
    
    
34. 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
35. 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
36. 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
    
    
    
37. 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    
    
    
    
38. 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
    
    
    
39. 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
40. 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    
    
    
    
41. 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
    
    
    
42. 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
43. 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
44. 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    
    
    
    
45. 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
    
    
    
46. 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
    
    
    
47. KOPANS DB
    Time for Change in Digital Breast Tomosynthesis Research.
    Radiology. 2022;302:293-294.
    PubMed    
    
    
    January 2022
48. 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
    
    
    
49. PHILPOTTS LE
    Advancing Artificial Intelligence to Meet Breast Imaging Needs.
    Radiology. 2022 Jan 18:213101. doi: 10.1148/radiol.213101.
    PubMed    
    
    
    
50. 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
    
    
    
51. 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
52. FUCHSJAGER MH, Adelsmayr G
    Artificial Intelligence as an Assistant in Breast Cancer Screening.
    Radiology. 2021 Dec 14:212675. doi: 10.1148/radiol.212675.
    PubMed    
    
    
    
53. 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
    
    
    
54. 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
    
    
    
55. 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
    
    
    
56. 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
    
    
    
57. 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
58. 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
    
    
    
59. 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
    
    
    
60. 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    
    
    
    
61. 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
    
    
    
62. PISANO ED
    How Radiologists Can Improve Breast Cancer Screening.
    Radiology. 2021 Nov 9:211525. doi: 10.1148/radiol.2021211525.
    PubMed    
    
    
    October 2021
63. HELLER SL
    Impact of the Pandemic on Breast Cancer Diagnoses.
    Radiology. 2021 Oct 19:212477. doi: 10.1148/radiol.2021212477.
    PubMed    
    
    
    
64. 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
    
    
    
65. 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
    
    
    
66. 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    
    
    
    
67. 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
    
    
    
68. 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
69. 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
    
    
    
70. 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    
    
    
    
71. 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
    
    
    
72. 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
73. 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
74. 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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