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Breast Cancer

Free Subscription Articles published in Eur Radiol Retrieve available abstracts of 156 articles: HTML format

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April 2024
1. VEDANTHAM S
   Contrast-enhanced breast computed tomography: can lymph node metastasis be predicted from primary tumor?
   Eur Radiol. 2024;34:2574-2575.
   PubMed    
   
   
   
2. XU Z, Lin Y, Huo J, Gao Y, et al
   A bimodal nomogram as an adjunct tool to reduce unnecessary breast biopsy following discordant ultrasonic and mammographic BI-RADS assessment.
   Eur Radiol. 2024;34:2608-2618.
   PubMed     Abstract available
   
   
   
3. MAO C, Hu L, Jiang W, Qiu Y, et al
   Discrimination between human epidermal growth factor receptor 2 (HER2)-low-expressing and HER2-overexpressing breast cancers: a comparative study of four MRI diffusion models.
   Eur Radiol. 2024;34:2546-2559.
   PubMed     Abstract available
   
   
   March 2024
4. CAMPS-HERRERO J, Pijnappel R, Balleyguier C
   MR-contrast enhanced mammography (CEM) for follow-up of breast cancer patients: a "pros and cons" debate.
   Eur Radiol. 2024 Mar 15. doi: 10.1007/s00330-024-10684.
   PubMed     Abstract available
   
   
   
5. LOKAJ B, Pugliese MT, Kinkel K, Lovis C, et al
   Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review.
   Eur Radiol. 2024;34:2096-2109.
   PubMed     Abstract available
   
   
   
6. JING X, Dorrius MD, Zheng S, Wielema M, et al
   Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks.
   Eur Radiol. 2024;34:2084-2092.
   PubMed     Abstract available
   
   
   February 2024
7. KOCH HW, Larsen M, Bartsch H, Martiniussen MA, et al
   How do AI markings on screening mammograms correspond to cancer location? An informed review of 270 breast cancer cases in BreastScreen Norway.
   Eur Radiol. 2024 Feb 23. doi: 10.1007/s00330-024-10662.
   PubMed     Abstract available
   
   
   
8. SEKER ME, Koyluoglu YO, Ozaydin AN, Gurdal SO, et al
   Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program.
   Eur Radiol. 2024 Feb 22. doi: 10.1007/s00330-024-10661.
   PubMed     Abstract available
   
   
   
9. ZHENG S, Yang Z, Du G, Zhang Y, et al
   Discrimination between HER2-overexpressing, -low-expressing, and -zero-expressing statuses in breast cancer using multiparametric MRI-based radiomics.
   Eur Radiol. 2024 Feb 16. doi: 10.1007/s00330-024-10641.
   PubMed     Abstract available
   
   
   
10. WANG Q, Lin Y, Ding C, Guan W, et al
    Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography.
    Eur Radiol. 2024 Feb 10. doi: 10.1007/s00330-024-10638.
    PubMed     Abstract available
    
    
    
11. ZHAO S, Li Y, Ning N, Liang H, et al
    Association of peritumoral region features assessed on breast MRI and prognosis of breast cancer: a systematic review and meta-analysis.
    Eur Radiol. 2024 Feb 9. doi: 10.1007/s00330-024-10612.
    PubMed     Abstract available
    
    
    
12. TONG Y, Hu Z, Wang H, Huang J, et al
    Anti-HER2 therapy response assessment for guiding treatment (de-)escalation in early HER2-positive breast cancer using a novel deep learning radiomics model.
    Eur Radiol. 2024 Feb 8. doi: 10.1007/s00330-024-10609.
    PubMed     Abstract available
    
    
    
13. MULLEN LA
    Can digital breast tomosynthesis decrease interval cancers in a breast cancer screening program?
    Eur Radiol. 2024 Feb 6. doi: 10.1007/s00330-024-10635.
    PubMed    
    
    
    
14. ZHANG T, Mann RM
    Contrast-enhanced mammography: better with AI?
    Eur Radiol. 2024;34:914-916.
    PubMed    
    
    
    
15. XU J, Zhang L, Wen W, He Y, et al
    Evaluation of standard breast ultrasonography by adding two-dimensional and three-dimensional shear wave elastography: a prospective, multicenter trial.
    Eur Radiol. 2024;34:945-956.
    PubMed     Abstract available
    
    
    
16. BARR RG
    Breast elastography: how does it works, and for what purposes?
    Eur Radiol. 2024;34:928-929.
    PubMed    
    
    
    
17. PARTRIDGE GJW, Taib AG, Phillips P, James JJ, et al
    Take a break: should breaks be enforced during digital breast tomosynthesis reading sessions?
    Eur Radiol. 2024;34:1388-1398.
    PubMed     Abstract available
    
    
    January 2024
18. DENG Y, Lu Y, Li X, Zhu Y, et al
    Prediction of human epidermal growth factor receptor 2 (HER2) status in breast cancer by mammographic radiomics features and clinical characteristics: a multicenter study.
    Eur Radiol. 2024 Jan 26. doi: 10.1007/s00330-024-10607.
    PubMed     Abstract available
    
    
    
19. STEYEROVA P, Kaidar-Person O, Pinker K, Dubsky P, et al
    Breast cancer: evaluating the axilla before, during, and after therapy-new challenges.
    Eur Radiol. 2024 Jan 26. doi: 10.1007/s00330-024-10621.
    PubMed    
    
    
    
20. AL-BAZZAZ H, Janicijevic M, Strand F
    Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.
    Eur Radiol. 2024 Jan 2. doi: 10.1007/s00330-023-10514.
    PubMed     Abstract available
    
    
    
21. ZARIC O, Hatamikia S, George G, Schwarzhans F, et al
    AI-based time-intensity-curve assessment of breast tumors on MRI.
    Eur Radiol. 2024;34:179-181.
    PubMed    
    
    
    
22. BARUFALDI B, Acciavatti RJ, Conant EF, Maidment ADA, et al
    Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis.
    Eur Radiol. 2024;34:193-203.
    PubMed     Abstract available
    
    
    
23. LIU Z, Yao B, Wen J, Wang M, et al
    Voxel-wise mapping of DCE-MRI time-intensity-curve profiles enables visualizing and quantifying hemodynamic heterogeneity in breast lesions.
    Eur Radiol. 2024;34:182-192.
    PubMed     Abstract available
    
    
    
24. D'ANGELO A, Scardina L, Palma S, Cicero SL, et al
    Magnetic seed versus skin tattoo localization of non-palpable breast lesions: a single institution cohort study.
    Eur Radiol. 2024;34:149-154.
    PubMed     Abstract available
    
    
    December 2023
25. RAYA-POVEDANO JL
    AI in breast cancer screening: a critical overview of what we know.
    Eur Radiol. 2023 Dec 21. doi: 10.1007/s00330-023-10530.
    PubMed    
    
    
    
26. MANN RM
    Breast screening: "If you really want to see it, you just make an MRI".
    Eur Radiol. 2023;33:8410-8412.
    PubMed    
    
    
    
27. LOBBES MBI
    Breast cancer screening in patients with intermediate risk using contrast-enhanced mammography.
    Eur Radiol. 2023;33:8407-8409.
    PubMed    
    
    
    November 2023
28. ELIAS-CABOT E, Romero-Martin S, Raya-Povedano JL, Brehl AK, et al
    Impact of real-life use of artificial intelligence as support for human reading in a population-based breast cancer screening program with mammography and tomosynthesis.
    Eur Radiol. 2023 Nov 17. doi: 10.1007/s00330-023-10426.
    PubMed     Abstract available
    
    
    
29. CHAN HP
    Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.
    Eur Radiol. 2023 Nov 16. doi: 10.1007/s00330-023-10449.
    PubMed    
    
    
    
30. MOSHINA N, Backmann HA, Skaane P, Hofvind S, et al
    Mammographic features and risk of breast cancer death among women with invasive screen-detected cancer in BreastScreen Norway 1996-2020.
    Eur Radiol. 2023 Nov 8. doi: 10.1007/s00330-023-10369.
    PubMed     Abstract available
    
    
    
31. COZZI A, Schiaffino S
    Preoperative breast MRI in women with dense breasts: can we keep up with a rapidly changing scenario?
    Eur Radiol. 2023;33:8077-8079.
    PubMed    
    
    
    
32. MICHALOPOULOU E, Clauser P, Gilbert FJ, Pijnappel RM, et al
    A survey by the European Society of Breast Imaging on radiologists' preferences regarding quality assurance measures of image interpretation in screening and diagnostic mammography.
    Eur Radiol. 2023;33:8103-8111.
    PubMed     Abstract available
    
    
    
33. RANGARAJAN K, Aggarwal P, Gupta DK, Dhanakshirur R, et al
    Deep learning for detection of iso-dense, obscure masses in mammographically dense breasts.
    Eur Radiol. 2023;33:8112-8121.
    PubMed     Abstract available
    
    
    
34. JOHNSON K, Olinder J, Rosso A, Andersson I, et al
    False-positive recalls in the prospective Malmo Breast Tomosynthesis Screening Trial.
    Eur Radiol. 2023;33:8089-8099.
    PubMed     Abstract available
    
    
    October 2023
35. TSAI HY, Kao YW, Wang JC, Tsai TY, et al
    Multitask deep learning on mammography to predict extensive intraductal component in invasive breast cancer.
    Eur Radiol. 2023 Oct 9. doi: 10.1007/s00330-023-10254.
    PubMed     Abstract available
    
    
    
36. ZHU Y, Ma Y, Zhai Z, Liu A, et al
    Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
    Eur Radiol. 2023 Oct 2. doi: 10.1007/s00330-023-10256.
    PubMed     Abstract available
    
    
    
37. KIM H, Choi JS, Kim K, Ko ES, et al
    Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study.
    Eur Radiol. 2023;33:7186-7198.
    PubMed     Abstract available
    
    
    
38. SELLA T, Simor B, Adler-Levy Y, Maly B, et al
    MRI prediction of neoadjuvant chemotherapy response is equivalent in patients with or without mammographic calcifications: a step towards adapting surgical approach?
    Eur Radiol. 2023;33:7168-7177.
    PubMed     Abstract available
    
    
    September 2023
39. CAI L, Sidey-Gibbons C, Nees J, Riedel F, et al
    Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?
    Eur Radiol. 2023 Sep 14. doi: 10.1007/s00330-023-10238.
    PubMed     Abstract available
    
    
    
40. MA J, Chen K, Li S, Zhu L, et al
    MRI-based radiomic models to predict surgical margin status and infer tumor immune microenvironment in breast cancer patients with breast-conserving surgery: a multicenter validation study.
    Eur Radiol. 2023 Sep 2. doi: 10.1007/s00330-023-10144.
    PubMed     Abstract available
    
    
    
41. COZZI A, Di Leo G, Houssami N, Gilbert FJ, et al
    Screening and diagnostic breast MRI: how do they impact surgical treatment? Insights from the MIPA study.
    Eur Radiol. 2023;33:6213-6225.
    PubMed     Abstract available
    
    
    
42. LI JK, Fu NQ, Wang B, Jiang Y, et al
    Conventional ultrasound combined with contrast-enhanced ultrasound: could it be helpful for the diagnosis of thoracic wall recurrence after mastectomy?
    Eur Radiol. 2023;33:6482-6491.
    PubMed     Abstract available
    
    
    
43. COHEN EO, Korhonen KE, Sun J, Leung JWT, et al
    Comparison of prone and upright, stereotactic, and tomosynthesis-guided biopsies with secondary analysis of ultrasound-occult architectural distortions.
    Eur Radiol. 2023;33:6189-6203.
    PubMed     Abstract available
    
    
    
44. GOODBURN R, Kousi E, Sanders C, Macdonald A, et al
    Quantitative background parenchymal enhancement and fibro-glandular density at breast MRI: Association with BRCA status.
    Eur Radiol. 2023;33:6204-6212.
    PubMed     Abstract available
    
    
    August 2023
45. SASSI A, Salminen A, Jukkola A, Tervo M, et al
    Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer.
    Eur Radiol. 2023 Aug 30. doi: 10.1007/s00330-023-10072.
    PubMed     Abstract available
    
    
    
46. LI Z, Ma Q, Gao Y, Qu M, et al
    Diagnostic performance of MRI for assessing axillary lymph node status after neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.
    Eur Radiol. 2023 Aug 24. doi: 10.1007/s00330-023-10155.
    PubMed     Abstract available
    
    
    
47. QIAN N, Jiang W, Guo Y, Zhu J, et al
    Breast cancer diagnosis from contrast-enhanced mammography using multi-feature fusion neural network.
    Eur Radiol. 2023 Aug 23. doi: 10.1007/s00330-023-10170.
    PubMed     Abstract available
    
    
    
48. GUO Y, Xie X, Tang W, Chen S, et al
    Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer.
    Eur Radiol. 2023 Aug 19. doi: 10.1007/s00330-023-09990.
    PubMed     Abstract available
    
    
    
49. HOTTAT NA, Badr DA, Ben Ghanem M, Besse-Hammer T, et al
    Assessment of whole-body MRI including diffusion-weighted sequences in the initial staging of breast cancer patients at high risk of metastases in comparison with PET-CT: a prospective cohort study.
    Eur Radiol. 2023 Aug 9. doi: 10.1007/s00330-023-10060.
    PubMed     Abstract available
    
    
    
50. HONDA M, Iima M
    Is the breast ADC category system a useful addition to BI-RADS?
    Eur Radiol. 2023;33:5398-5399.
    PubMed    
    
    
    
51. BICKEL H, Clauser P, Pinker K, Helbich T, et al
    Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database.
    Eur Radiol. 2023;33:5400-5410.
    PubMed     Abstract available
    
    
    July 2023
52. DU Y, Cai M, Zha H, Chen B, et al
    Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study.
    Eur Radiol. 2023 Jul 31. doi: 10.1007/s00330-023-09995.
    PubMed     Abstract available
    
    
    
53. SEXAUER R, Hejduk P, Borkowski K, Ruppert C, et al
    Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.
    Eur Radiol. 2023;33:4589-4596.
    PubMed     Abstract available
    
    
    June 2023
54. MALHAIRE C, Selhane F, Saint-Martin MJ, Cockenpot V, et al
    Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy.
    Eur Radiol. 2023 Jun 15. doi: 10.1007/s00330-023-09797.
    PubMed     Abstract available
    
    
    
55. OHASHI A, Kataoka M, Iima M, Honda M, et al
    A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI.
    Eur Radiol. 2023 Jun 8. doi: 10.1007/s00330-023-09730.
    PubMed     Abstract available
    
    
    
56. NISSAN N, Anaby D, Mahameed G, Bauer E, et al
    Ultrafast DCE-MRI for discriminating pregnancy-associated breast cancer lesions from lactation related background parenchymal enhancement.
    Eur Radiol. 2023 Jun 6. doi: 10.1007/s00330-023-09805.
    PubMed     Abstract available
    
    
    
57. BORDE T, Wu M, Ruschke S, Boehm C, et al
    Assessing breast density using the chemical-shift encoding-based proton density fat fraction in 3-T MRI.
    Eur Radiol. 2023;33:3810-3818.
    PubMed     Abstract available
    
    
    May 2023
58. GIORGI ROSSI P
    Excluding specificity from research and development priorities is delaying the AI adoption in breast cancer screening.
    Eur Radiol. 2023 May 23. doi: 10.1007/s00330-023-09733.
    PubMed    
    
    
    
59. CARMONA-BOZO JC, Manavaki R, Miller JL, Brodie C, et al
    PET/MRI of hypoxia and vascular function in ER-positive breast cancer: correlations with immunohistochemistry.
    Eur Radiol. 2023 May 11. doi: 10.1007/s00330-023-09572.
    PubMed     Abstract available
    
    
    April 2023
60. BA R, Wang X, Zhang Z, Li Q, et al
    Diffusion-time dependent diffusion MRI: effect of diffusion-time on microstructural mapping and prediction of prognostic features in breast cancer.
    Eur Radiol. 2023 Apr 18. doi: 10.1007/s00330-023-09623.
    PubMed     Abstract available
    
    
    
61. JANNUSCH K, Lindemann ME, Bruckmann NM, Morawitz J, et al
    Towards a fast PET/MRI protocol for breast cancer imaging: maintaining diagnostic confidence while reducing PET and MRI acquisition times.
    Eur Radiol. 2023 Apr 12. doi: 10.1007/s00330-023-09580.
    PubMed     Abstract available
    
    
    
62. PLOUMEN RAW, de Mooij CM, Gommers S, Keymeulen KBMI, et al
    Imaging findings for response evaluation of ductal carcinoma in situ in breast cancer patients treated with neoadjuvant systemic therapy: a systematic review and meta-analysis.
    Eur Radiol. 2023 Apr 5. doi: 10.1007/s00330-023-09547.
    PubMed     Abstract available
    
    
    
63. WESSLING D, Mannlin S, Schwarz R, Hagen F, et al
    Background enhancement in contrast-enhanced spectral mammography (CESM): are there qualitative and quantitative differences between imaging systems?
    Eur Radiol. 2023;33:2945-2953.
    PubMed     Abstract available
    
    
    
64. GU Y, Xu W, Liu T, An X, et al
    Ultrasound-based deep learning in the establishment of a breast lesion risk stratification system: a multicenter study.
    Eur Radiol. 2023;33:2954-2964.
    PubMed     Abstract available
    
    
    March 2023
65. NISSAN N, Kulpanovich A, Agassi R, Allweis T, et al
    Probing lipids relaxation times in breast cancer using magnetic resonance spectroscopic fingerprinting.
    Eur Radiol. 2023 Mar 28. doi: 10.1007/s00330-023-09560.
    PubMed     Abstract available
    
    
    
66. YU FH, Miao SM, Li CY, Hang J, et al
    Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
    Eur Radiol. 2023 Mar 28. doi: 10.1007/s00330-023-09555.
    PubMed     Abstract available
    
    
    
67. KOCH HW, Larsen M, Bartsch H, Kurz KD, et al
    Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases.
    Eur Radiol. 2023 Mar 14. doi: 10.1007/s00330-023-09461.
    PubMed     Abstract available
    
    
    
68. CLAUSER P
    Clinical value of contralateral breast cancers detected by pre-operative MRI in patients diagnosed with DCIS: a population-based cohort study-commentary.
    Eur Radiol. 2023;33:2207-2208.
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69. JUNGMANN F, Ziegelmayer S, Lohoefer FK, Metz S, et al
    Algorithmic transparency and interpretability measures improve radiologists' performance in BI-RADS 4 classification.
    Eur Radiol. 2023;33:1844-1851.
    PubMed     Abstract available
    
    
    
70. KEYMEULEN KBIM, Geurts SME, Kooreman LFS, Duijm LEM, et al
    Clinical value of contralateral breast cancers detected by pre-operative MRI in patients diagnosed with DCIS: a population-based cohort study.
    Eur Radiol. 2023;33:2209-2217.
    PubMed     Abstract available
    
    
    February 2023
71. RAHIMPOUR M, Saint Martin MJ, Frouin F, Akl P, et al
    Visual ensemble selection of deep convolutional neural networks for 3D segmentation of breast tumors on dynamic contrast enhanced MRI.
    Eur Radiol. 2023;33:959-969.
    PubMed     Abstract available
    
    
    January 2023
72. SCHIAFFINO S, Cozzi A
    Contrast-enhanced mammography-guided biopsy: why, when, and where we need it.
    Eur Radiol. 2023;33:414-416.
    PubMed     Abstract available
    
    
    
73. ALCANTARA R, Posso M, Pitarch M, Arenas N, et al
    Contrast-enhanced mammography-guided biopsy: technical feasibility and first outcomes.
    Eur Radiol. 2023;33:417-428.
    PubMed     Abstract available
    
    
    
74. IOTTI V, Giorgi Rossi P, Canovi L, Guberti M, et al
    Patient-centred care with self-compression mammography in clinical practice: a randomized trial compared to standard compression.
    Eur Radiol. 2023;33:450-460.
    PubMed     Abstract available
    
    
    
75. SADEGHIPOUR N, Tseng J, Anderson K, Ayalasomayajula S, et al
    Tumor volume doubling time estimated from digital breast tomosynthesis mammograms distinguishes invasive breast cancers from benign lesions.
    Eur Radiol. 2023;33:429-439.
    PubMed     Abstract available
    
    
    December 2022
76. DAHLBLOM V, Dustler M, Tingberg A, Zackrisson S, et al
    Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence.
    Eur Radiol. 2022 Dec 11. doi: 10.1007/s00330-022-09316.
    PubMed     Abstract available
    
    
    
77. GOH Y, Chou CP, Chan CW, Buhari SA, et al
    Impact of contrast-enhanced mammography in surgical management of breast cancers for women with dense breasts: a dual-center, multi-disciplinary study in Asia.
    Eur Radiol. 2022;32:8226-8237.
    PubMed     Abstract available
    
    
    
78. LARSEN M, Aglen CF, Hoff SR, Lund-Hanssen H, et al
    Possible strategies for use of artificial intelligence in screen-reading of mammograms, based on retrospective data from 122,969 screening examinations.
    Eur Radiol. 2022;32:8238-8246.
    PubMed     Abstract available
    
    
    
79. JING X, Wielema M, Cornelissen LJ, van Gent M, et al
    Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time.
    Eur Radiol. 2022;32:8706-8715.
    PubMed     Abstract available
    
    
    November 2022
80. LIU HQ, Lin SY, Song YD, Mai SY, et al
    Machine learning on MRI radiomic features: identification of molecular subtype alteration in breast cancer after neoadjuvant therapy.
    Eur Radiol. 2022 Nov 23. doi: 10.1007/s00330-022-09264.
    PubMed     Abstract available
    
    
    
81. NISSAN N, Massasa EEM, Bauer E, Halshtok-Neiman O, et al
    MRI can accurately diagnose breast cancer during lactation.
    Eur Radiol. 2022 Nov 8. pii: 10.1007/s00330-022-09234.
    PubMed     Abstract available
    
    
    
82. COZZI A, Schiaffino S, Fanizza M, Magni V, et al
    Contrast-enhanced mammography for the assessment of screening recalls: a two-centre study.
    Eur Radiol. 2022;32:7388-7399.
    PubMed     Abstract available
    
    
    
83. RONG X, Kang Y, Xue J, Han P, et al
    Value of contrast-enhanced mammography combined with the Kaiser score for clinical decision-making regarding tomosynthesis BI-RADS 4A lesions.
    Eur Radiol. 2022;32:7439-7447.
    PubMed     Abstract available
    
    
    
84. PEREZ-LEON D, Posso M, Louro J, Ejarque B, et al
    Does the patient-assisted compression mode affect the mammography quality? A within-woman randomized controlled trial.
    Eur Radiol. 2022;32:7470-7479.
    PubMed     Abstract available
    
    
    
85. ARENAS N, Alcantara R, Posso M, Louro J, et al
    Comparison of technical parameters and women's experience between self-compression and standard compression modes in mammography screening: a single-blind randomized clinical trial.
    Eur Radiol. 2022;32:7480-7487.
    PubMed     Abstract available
    
    
    
86. LEE SE, Han K, Yoon JH, Youk JH, et al
    Depiction of breast cancers on digital mammograms by artificial intelligence-based computer-assisted diagnosis according to cancer characteristics.
    Eur Radiol. 2022;32:7400-7408.
    PubMed     Abstract available
    
    
    
87. DUIJM LEM, Strobbe LJA, van Breest Smallenburg V, Vreuls W, et al
    Failure of stereotactic core needle biopsy in women recalled for suspicious calcifications at screening mammography: frequency, causes, and final outcome in a multi-institutional, observational follow-up study.
    Eur Radiol. 2022;32:7420-7429.
    PubMed     Abstract available
    
    
    September 2022
88. FONG W, Tan L, Tan C, Wang H, et al
    Predicting the risk of axillary lymph node metastasis in early breast cancer patients based on ultrasonographic-clinicopathologic features and the use of nomograms: a prospective single-center observational study.
    Eur Radiol. 2022 Sep 28. pii: 10.1007/s00330-022-08855.
    PubMed     Abstract available
    
    
    
89. NIU Z, Gao Y, Xiao M, Mao F, et al
    Contrast-enhanced lymphatic US can improve the preoperative diagnostic performance for sentinel lymph nodes in early breast cancer.
    Eur Radiol. 2022 Sep 24. pii: 10.1007/s00330-022-09139.
    PubMed     Abstract available
    
    
    
90. XU Z, Ding Y, Zhao K, Han C, et al
    Correction to: MRI characteristics of breast edema for assessing axillary lymph node burden in early-stage breast cancer: a retrospective bicentric study.
    Eur Radiol. 2022 Sep 8. pii: 10.1007/s00330-022-09076.
    PubMed    
    
    
    
91. KAPSNER LA, Ohlmeyer S, Folle L, Laun FB, et al
    Automated artifact detection in abbreviated dynamic contrast-enhanced (DCE) MRI-derived maximum intensity projections (MIPs) of the breast.
    Eur Radiol. 2022;32:5997-6007.
    PubMed     Abstract available
    
    
    
92. AN Y, Mao G, Ao W, Mao F, et al
    Can DWI provide additional value to Kaiser score in evaluation of breast lesions.
    Eur Radiol. 2022;32:5964-5973.
    PubMed     Abstract available
    
    
    August 2022
93. MA Y, Liu A, Zhang Y, Zhu Y, et al
    Comparison of background parenchymal enhancement (BPE) on contrast-enhanced cone-beam breast CT (CE-CBBCT) and breast MRI.
    Eur Radiol. 2022;32:5773-5782.
    PubMed     Abstract available
    
    
    
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