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For: Mann RM, Kuhl CK, Moy L. Contrast-enhanced MRI for breast cancer screening. J Magn Reson Imaging 2019;50:377-90. [PMID: 30659696 DOI: 10.1002/jmri.26654] [Cited by in Crossref: 54] [Cited by in F6Publishing: 32] [Article Influence: 18.0] [Reference Citation Analysis]
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6 Bonelli LA, Calabrese M, Belli P, Corcione S, Losio C, Montemezzi S, Pediconi F, Petrillo A, Zuiani C, Camera L, Carbonaro LA, Cozzi A, De Falco Alfano D, Gristina L, Panzeri M, Poirè I, Schiaffino S, Tosto S, Trecate G, Trimboli RM, Valdora F, Viganò S, Sardanelli F. MRI versus Mammography plus Ultrasound in Women at Intermediate Breast Cancer Risk: Study Design and Protocol of the MRIB Multicenter, Randomized, Controlled Trial. Diagnostics (Basel) 2021;11:1635. [PMID: 34573983 DOI: 10.3390/diagnostics11091635] [Reference Citation Analysis]
7 Berg WA, Rafferty EA, Friedewald SM, Hruska CB, Rahbar H. Screening Algorithms in Dense Breasts: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2021;216:275-94. [PMID: 32903054 DOI: 10.2214/AJR.20.24436] [Cited by in Crossref: 11] [Cited by in F6Publishing: 1] [Article Influence: 5.5] [Reference Citation Analysis]
8 Newell MS. Risk versus Benefit of Surveillance Breast MRI: A Sticky Wicket. Radiology 2019;292:319-20. [PMID: 31166144 DOI: 10.1148/radiol.2019190991] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
9 Daimiel Naranjo I, Gibbs P, Reiner JS, Lo Gullo R, Sooknanan C, Thakur SB, Jochelson MS, Sevilimedu V, Morris EA, Baltzer PAT, Helbich TH, Pinker K. Radiomics and Machine Learning with Multiparametric Breast MRI for Improved Diagnostic Accuracy in Breast Cancer Diagnosis. Diagnostics (Basel) 2021;11:919. [PMID: 34063774 DOI: 10.3390/diagnostics11060919] [Reference Citation Analysis]
10 O'Connell AM, Marini TJ, Kawakyu-O'Connor DT. Cone-Beam Breast Computed Tomography: Time for a New Paradigm in Breast Imaging. J Clin Med 2021;10:5135. [PMID: 34768656 DOI: 10.3390/jcm10215135] [Reference Citation Analysis]
11 Bae MS, Sung JS, Bernard-Davila B, Sutton EJ, Comstock CE, Morris EA. Survival Outcomes of Screening with Breast MRI in Women at Elevated Risk of Breast Cancer. J Breast Imaging 2020;2:29-35. [PMID: 32055796 DOI: 10.1093/jbi/wbz083] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
12 Vegunta S, Kling JM, Patel BK. Supplemental Cancer Screening for Women With Dense Breasts: Guidance for Health Care Professionals. Mayo Clin Proc 2021;96:2891-904. [PMID: 34686363 DOI: 10.1016/j.mayocp.2021.06.001] [Reference Citation Analysis]
13 Daimiel Naranjo I, Lo Gullo R, Saccarelli C, Thakur SB, Bitencourt A, Morris EA, Jochelson MS, Sevilimedu V, Martinez DF, Pinker-Domenig K. Diagnostic value of diffusion-weighted imaging with synthetic b-values in breast tumors: comparison with dynamic contrast-enhanced and multiparametric MRI. Eur Radiol 2021;31:356-67. [PMID: 32780207 DOI: 10.1007/s00330-020-07094-z] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
14 Xiao L, Simmons C, Khanani S. Efficacy of MRI-Directed Breast Ultrasound and Lesion Characteristics Affecting Visualization on Breast Ultrasound. Current Problems in Diagnostic Radiology 2022. [DOI: 10.1067/j.cpradiol.2022.02.004] [Reference Citation Analysis]
15 Lee CS, Monticciolo DL, Moy L. Screening Guidelines Update for Average-Risk and High-Risk Women. American Journal of Roentgenology 2020;214:316-23. [DOI: 10.2214/ajr.19.22205] [Cited by in Crossref: 6] [Article Influence: 3.0] [Reference Citation Analysis]
16 Honda M, Kataoka M, Iima M, Miyake KK, Ohashi A, Kishimoto AO, Ota R, Nickel MD, Toi M, Togashi K. Background parenchymal enhancement and its effect on lesion detectability in ultrafast dynamic contrast-enhanced MRI. Eur J Radiol 2020;129:108984. [PMID: 32534350 DOI: 10.1016/j.ejrad.2020.108984] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
17 Parekh VS, Jacobs MA. Multiparametric radiomics methods for breast cancer tissue characterization using radiological imaging. Breast Cancer Res Treat 2020;180:407-21. [PMID: 32020435 DOI: 10.1007/s10549-020-05533-5] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 3.5] [Reference Citation Analysis]
18 Bhushan A, Gonsalves A, Menon JU. Current State of Breast Cancer Diagnosis, Treatment, and Theranostics. Pharmaceutics 2021;13:723. [PMID: 34069059 DOI: 10.3390/pharmaceutics13050723] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
19 Daimiel Naranjo I, Gibbs P, Reiner JS, Lo Gullo R, Thakur SB, Jochelson MS, Thakur N, Baltzer PAT, Helbich TH, Pinker K. Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists' Performance. Cancers (Basel) 2022;14:1743. [PMID: 35406514 DOI: 10.3390/cancers14071743] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Kubota K. Breast ultrasound in the age of advanced technology and artificial intelligence. J Med Ultrason (2001) 2021;48:113-4. [PMID: 33907926 DOI: 10.1007/s10396-021-01091-5] [Reference Citation Analysis]
21 Neal CH. Screening Breast MRI and Gadolinium Deposition: Cause for Concern? Journal of Breast Imaging 2022;4:10-8. [DOI: 10.1093/jbi/wbab074] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
22 Froelich MF, Kaiser CG. Cost-effectiveness of MR-mammography as a solitary imaging technique in women with dense breasts: an economic evaluation of the prospective TK-Study. Eur Radiol 2021;31:967-74. [PMID: 32856166 DOI: 10.1007/s00330-020-07129-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
23 Ohashi A, Kataoka M, Kanao S, Iima M, Murata K, Weiland E, Onishi N, Kawai M, Toi M, Togashi K. Diagnostic performance of maximum slope: A kinetic parameter obtained from ultrafast dynamic contrast-enhanced magnetic resonance imaging of the breast using k-space weighted image contrast (KWIC). Eur J Radiol 2019;118:285-92. [PMID: 31324411 DOI: 10.1016/j.ejrad.2019.06.012] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
24 Green L. What Is the Best Imaging Modality for Breast Cancer Detection in Women with a Personal History? Acad Radiol 2022:S1076-6332(22)00260-4. [PMID: 35595630 DOI: 10.1016/j.acra.2022.04.013] [Reference Citation Analysis]
25 Hernández L, Díaz GM, Posada C, Llano-Sierra A. Magnetic resonance imaging in diagnosis of indeterminate breast (BIRADS 3 & 4A) in a general population. Insights Imaging 2021;12:149. [PMID: 34674056 DOI: 10.1186/s13244-021-01098-z] [Reference Citation Analysis]
26 Samreen N, Mercado C, Heacock L, Chacko C, Partridge SC, Chhor C. Screening Breast MRI Primer: Indications, Current Protocols, and Emerging Techniques. Journal of Breast Imaging 2021;3:387-98. [DOI: 10.1093/jbi/wbaa116] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
27 Wang S, Wu C, Tsai C, Chen T, Tsai K, Hung C, Hsu C, Wu C, Hsieh T. Effects of Luteolin on Human Breast Cancer Using Gene Expression Array: Inferring Novel Genes. CIMB 2022;44:2107-21. [DOI: 10.3390/cimb44050142] [Reference Citation Analysis]
28 Dodelzon K, McGinty G, Melsaether A. PET/MRI in breast cancer patients: Added value, barriers to implementation, and solutions. Clin Imaging 2020;68:24-8. [PMID: 32562923 DOI: 10.1016/j.clinimag.2020.06.002] [Reference Citation Analysis]
29 Kim SY, Cho N, Kim SY, Choi Y, Kim ES, Ha SM, Lee SH, Chang JM, Moon WK. Supplemental Breast US Screening in Women with a Personal History of Breast Cancer: A Matched Cohort Study. Radiology 2020;295:54-63. [PMID: 32096704 DOI: 10.1148/radiol.2020191691] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
30 Cozzi A, Schiaffino S, Sardanelli F. The emerging role of contrast-enhanced mammography. Quant Imaging Med Surg 2019;9:2012-8. [PMID: 31929976 DOI: 10.21037/qims.2019.11.09] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
31 Jacobs MA, Umbricht CB, Parekh VS, El Khouli RH, Cope L, Macura KJ, Harvey S, Wolff AC. Integrated Multiparametric Radiomics and Informatics System for Characterizing Breast Tumor Characteristics with the OncotypeDX Gene Assay. Cancers (Basel) 2020;12:E2772. [PMID: 32992569 DOI: 10.3390/cancers12102772] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
32 Geuzinge HA, Heijnsdijk EAM, Obdeijn IM, de Koning HJ, Tilanus-Linthorst MMA; FaMRIsc study group. Experiences, expectations and preferences regarding MRI and mammography as breast cancer screening tools in women at familial risk. Breast 2021;56:1-6. [PMID: 33515770 DOI: 10.1016/j.breast.2021.01.002] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Barbalho D, Sandoval R, Santos E, Pisani J, Quirino C, Garicochea B, Rossi B, Achatz MI. Novel Insights From the Germline Landscape of Breast Cancer in Brazil. Front Oncol 2021;11:743231. [PMID: 35155181 DOI: 10.3389/fonc.2021.743231] [Reference Citation Analysis]
34 Aristokli N, Polycarpou I, Themistocleous S, Sophocleous D, Mamais I. Comparison of the diagnostic performance of Magnetic Resonance Imaging (MRI), ultrasound and mammography for detection of breast cancer based on tumor type, breast density and patient's history: A review. Radiography 2022. [DOI: 10.1016/j.radi.2022.01.006] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
35 Castelo M, Brown Z, Schellenberg AE, Mills JK, Eisen A, Muradali D, Grunfeld E, Scheer AS. Abnormal screens among nonmutation carriers in the High Risk Ontario Breast Screening Program. Breast J 2021;27:423-31. [PMID: 33550650 DOI: 10.1111/tbj.14185] [Reference Citation Analysis]
36 Baltzer PAT. [Artificial intelligence in breast imaging : Areas of application from a clinical perspective]. Radiologe 2021;61:192-8. [PMID: 33507318 DOI: 10.1007/s00117-020-00802-2] [Reference Citation Analysis]
37 Ahmad R, Ahmed B, Ahmed B. Effectiveness of MRI in screening women for breast cancer: a systematic review. Breast Cancer Management 2022;11:BMT64. [DOI: 10.2217/bmt-2021-0016] [Reference Citation Analysis]
38 Wilson N, Ironside A, Diana A, Oikonomidou O. Lobular Breast Cancer: A Review. Front Oncol 2020;10:591399. [PMID: 33520704 DOI: 10.3389/fonc.2020.591399] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
39 Jing X, Dorrius MD, Wielema M, Sijens PE, Oudkerk M, van Ooijen P. Breast Tumor Identification in Ultrafast MRI Using Temporal and Spatial Information. Cancers (Basel) 2022;14:2042. [PMID: 35454949 DOI: 10.3390/cancers14082042] [Reference Citation Analysis]
40 Bitencourt AG, Rossi Saccarelli C, Kuhl C, Morris EA. Breast cancer screening in average-risk women: towards personalized screening. Br J Radiol 2019;92:20190660. [PMID: 31538501 DOI: 10.1259/bjr.20190660] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
41 Honda M, Kataoka M, Onishi N, Iima M, Ohashi A, Kanao S, Nickel MD, Toi M, Togashi K. New parameters of ultrafast dynamic contrast-enhanced breast MRI using compressed sensing. J Magn Reson Imaging 2020;51:164-74. [PMID: 31215107 DOI: 10.1002/jmri.26838] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 4.7] [Reference Citation Analysis]
42 Li W, Xiao H, Li T, Ren G, Lam S, Teng X, Liu C, Zhang J, Kar-Ho Lee F, Au KH, Ho-Fun Lee V, Chang ATY, Cai J. Virtual Contrast-enhanced Magnetic Resonance Images Synthesis for Patients With Nasopharyngeal Carcinoma Using Multimodality-guided Synergistic Neural Network. Int J Radiat Oncol Biol Phys 2021:S0360-3016(21)03115-1. [PMID: 34774997 DOI: 10.1016/j.ijrobp.2021.11.007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
43 Ohlmeyer S, Laun FB, Bickelhaupt S, Palm T, Janka R, Weiland E, Uder M, Wenkel E. Ultra-High b-Value Diffusion-Weighted Imaging-Based Abbreviated Protocols for Breast Cancer Detection. Invest Radiol 2021;56:629-36. [PMID: 34494995 DOI: 10.1097/RLI.0000000000000784] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
44 Sad LMAEA, Dabees NL, Mohamed DAE, Tageldin A, Younis SG, Sahgal P. Assessment of Suspected Breast Lesions in Early-Stage Triple-Negative Breast Cancer during Follow-Up after Breast-Conserving Surgery Using Multiparametric MRI. International Journal of Breast Cancer 2022;2022:1-11. [DOI: 10.1155/2022/4299920] [Reference Citation Analysis]
45 Price J. 12-year review of MRI-detected breast cancers. How often was a diagnosis of malignancy established using targeted ultrasound and standard 14-gauge core biopsy? J Med Imaging Radiat Oncol 2021. [PMID: 34837348 DOI: 10.1111/1754-9485.13352] [Reference Citation Analysis]
46 Barkhausen J, Bischof A, Haverstock D, Klemens M, Brueggenwerth G, Weber O, Endrikat J. Diagnostic efficacy of contrast-enhanced breast MRI versus X-ray mammography in women with different degrees of breast density. Acta Radiol 2021;62:586-93. [PMID: 32678675 DOI: 10.1177/0284185120936271] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
47 Gao Y, Reig B, Heacock L, Bennett DL, Heller SL, Moy L. Magnetic Resonance Imaging in Screening of Breast Cancer. Radiol Clin North Am 2021;59:85-98. [PMID: 33223002 DOI: 10.1016/j.rcl.2020.09.004] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
48 Maffei ME. Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics. IJMS 2022;23:1339. [DOI: 10.3390/ijms23031339] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
49 Subhan MA, Muzibur Rahman M. Recent Development in Metallic Nanoparticles for Breast Cancer Therapy and Diagnosis. Chem Rec 2022;:e202100331. [PMID: 35146897 DOI: 10.1002/tcr.202100331] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
50 Kirchner J, Martin O, Umutlu L, Herrmann K, Bittner AK, Hoffmann O, Mohrmann S, Gauler T, Theurer S, Antke C, Esposito I, Kinner S, Schaarschmidt BM, Kowall B, Lütke-Brintrup D, Stang A, Becker AS, Antoch G, Buchbender C. Impact of 18F-FDG PET/MR on therapeutic management in high risk primary breast cancer patients - A prospective evaluation of staging algorithms. Eur J Radiol 2020;128:108975. [PMID: 32371185 DOI: 10.1016/j.ejrad.2020.108975] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
51 Sharma U, Jagannathan NR. Magnetic Resonance Imaging (MRI) and MR Spectroscopic Methods in Understanding Breast Cancer Biology and Metabolism. Metabolites 2022;12:295. [DOI: 10.3390/metabo12040295] [Reference Citation Analysis]
52 Naik MK, Panda R, Abraham A. An entropy minimization based multilevel colour thresholding technique for analysis of breast thermograms using equilibrium slime mould algorithm. Applied Soft Computing 2021;113:107955. [DOI: 10.1016/j.asoc.2021.107955] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
53 Bahl M. Updates in Artificial Intelligence for Breast Imaging. Seminars in Roentgenology 2021. [DOI: 10.1053/j.ro.2021.12.005] [Reference Citation Analysis]
54 Franklin SL, Voormolen N, Bones IK, Korteweg T, Wasser MNJM, Dankers HG, Cohen D, van Stralen M, Bos C, van Osch MJP. Feasibility of Velocity-Selective Arterial Spin Labeling in Breast Cancer Patients for Noncontrast-Enhanced Perfusion Imaging. J Magn Reson Imaging 2021. [PMID: 34121250 DOI: 10.1002/jmri.27781] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
55 Zhou J, Zhang Y, Chang KT, Lee KE, Wang O, Li J, Lin Y, Pan Z, Chang P, Chow D, Wang M, Su MY. Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue. J Magn Reson Imaging. 2020;51:798-809. [PMID: 31675151 DOI: 10.1002/jmri.26981] [Cited by in Crossref: 22] [Cited by in F6Publishing: 27] [Article Influence: 7.3] [Reference Citation Analysis]
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58 Ortal A, Rodríguez A, Solis-Hernández MP, de Prado M, Rey V, Tornín J, Estupiñán Ó, Gallego B, Murillo D, Huergo C, García-Llano JL, Costilla S, Rodríguez R. Proof of concept for the use of trained sniffer dogs to detect osteosarcoma. Sci Rep 2022;12:6911. [PMID: 35484295 DOI: 10.1038/s41598-022-11013-1] [Reference Citation Analysis]
59 Kim ES, Cho N, Kim SY, Kwon BR, Yi A, Ha SM, Lee SH, Chang JM, Moon WK. Comparison of Abbreviated MRI and Full Diagnostic MRI in Distinguishing between Benign and Malignant Lesions Detected by Breast MRI: A Multireader Study. Korean J Radiol 2021;22:297-307. [PMID: 33289355 DOI: 10.3348/kjr.2020.0311] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
60 Kim SY, Cho N, Hong H, Lee Y, Yoen H, Kim YS, Park AR, Ha SM, Lee SH, Chang JM, Moon WK. Abbreviated Screening MRI for Women with a History of Breast Cancer: Comparison with Full-Protocol Breast MRI. Radiology 2022;:213310. [PMID: 35699580 DOI: 10.1148/radiol.213310] [Reference Citation Analysis]
61 Endrikat J, Schmidt G, Haverstock D, Weber O, Trnkova ZJ, Barkhausen J. Sensitivity of Contrast-Enhanced Breast MRI vs X-ray Mammography Based on Cancer Histology, Tumor Grading, Receptor Status, and Molecular Subtype: A Supplemental Analysis of 2 Large Phase III Studies. Breast Cancer (Auckl) 2022;16:11782234221092155. [PMID: 35462754 DOI: 10.1177/11782234221092155] [Reference Citation Analysis]
62 Jasra B, Samiian L, Kaunitz AM. Breast Cancer and the Obstetrician-Gynecologist: A Focus on Screening, Risk Assessment and Treatment of Survivors With Genitourinary Syndrome of Menopause. Clin Obstet Gynecol 2019;62:634-43. [PMID: 31259841 DOI: 10.1097/GRF.0000000000000479] [Reference Citation Analysis]
63 Xiang W, Rao H, Zhou L. A meta-analysis of contrast-enhanced spectral mammography versus MRI in the diagnosis of breast cancer. Thorac Cancer 2020;11:1423-32. [PMID: 32233072 DOI: 10.1111/1759-7714.13400] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
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65 Chen ZW, Zhao YF, Liu HR, Zhou JJ, Miao HW, Ye SX, He Y, Liu XM, Su MY, Wang MH. Assessment of breast lesions by the Kaiser score for differential diagnosis on MRI: the added value of ADC and machine learning modeling. Eur Radiol 2022. [PMID: 35726099 DOI: 10.1007/s00330-022-08899-w] [Reference Citation Analysis]
66 Lo Gullo R, Sevilimedu V, Baltzer P, Le Bihan D, Camps-Herrero J, Clauser P, Gilbert FJ, Iima M, Mann RM, Partridge SC, Patterson A, Sigmund EE, Thakur S, Thibault FE, Martincich L, Pinker K; EUSOBI International Breast Diffusion-Weighted Imaging working group. A survey by the European Society of Breast Imaging on the implementation of breast diffusion-weighted imaging in clinical practice. Eur Radiol 2022. [PMID: 35507050 DOI: 10.1007/s00330-022-08833-0] [Reference Citation Analysis]
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