152 related articles for article (PubMed ID: 28067435)
1. MR Imaging Findings in Molecular Subtypes of Breast Cancer According to BIRADS System.
Navarro Vilar L; Alandete Germán SP; Medina García R; Blanc García E; Camarasa Lillo N; Vilar Samper J
Breast J; 2017 Jul; 23(4):421-428. PubMed ID: 28067435
[TBL] [Abstract][Full Text] [Related]
2. Relationships Between MRI Breast Imaging-Reporting and Data System (BI-RADS) Lexicon Descriptors and Breast Cancer Molecular Subtypes: Internal Enhancement is Associated with Luminal B Subtype.
Grimm LJ; Zhang J; Baker JA; Soo MS; Johnson KS; Mazurowski MA
Breast J; 2017 Sep; 23(5):579-582. PubMed ID: 28295860
[TBL] [Abstract][Full Text] [Related]
3. [Breast cancer subtypes based on ER/PR and Her2 expression: comparison of MR imaging features].
Hao L; Yu RS; Cui F; Ren XC; Xu HB; Xu KY
Zhonghua Yi Xue Za Zhi; 2013 Mar; 93(11):819-23. PubMed ID: 23859386
[TBL] [Abstract][Full Text] [Related]
4. Correlation study between the magnetic resonance imaging features of breast cancer and expression of immune molecular subtypes.
Long N; Ran C; Sun J; Hao CJ; Sui YB; Li J; Shi YX; Zou ZX; Qu YH
Eur Rev Med Pharmacol Sci; 2020 Nov; 24(22):11518-11527. PubMed ID: 33275218
[TBL] [Abstract][Full Text] [Related]
5. Use of BI-RADS-MRI descriptors for differentiation between mucinous carcinoma and fibroadenoma.
Igarashi T; Ashida H; Morikawa K; Motohashi K; Fukuda K
Eur J Radiol; 2016 Jun; 85(6):1092-8. PubMed ID: 27161057
[TBL] [Abstract][Full Text] [Related]
6. Triple-negative breast cancer: correlation between MR imaging and pathologic findings.
Uematsu T; Kasami M; Yuen S
Radiology; 2009 Mar; 250(3):638-47. PubMed ID: 19244039
[TBL] [Abstract][Full Text] [Related]
7. Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer?
Montemezzi S; Camera L; Giri MG; Pozzetto A; Caliò A; Meliadò G; Caumo F; Cavedon C
Eur J Radiol; 2018 Nov; 108():120-127. PubMed ID: 30396643
[TBL] [Abstract][Full Text] [Related]
8. MR imaging properties of breast cancer molecular subtypes.
Seyfettin A; Dede I; Hakverdi S; Düzel Asıg B; Temiz M; Karazincir S
Eur Rev Med Pharmacol Sci; 2022 Jun; 26(11):3840-3848. PubMed ID: 35731053
[TBL] [Abstract][Full Text] [Related]
9. Interobserver Variability Between Breast Imagers Using the Fifth Edition of the BI-RADS MRI Lexicon.
Grimm LJ; Anderson AL; Baker JA; Johnson KS; Walsh R; Yoon SC; Ghate SV
AJR Am J Roentgenol; 2015 May; 204(5):1120-4. PubMed ID: 25905951
[TBL] [Abstract][Full Text] [Related]
10. Breast cancer in very young women (<30 years): Correlation of imaging features with clinicopathological features and immunohistochemical subtypes.
An YY; Kim SH; Kang BJ; Park CS; Jung NY; Kim JY
Eur J Radiol; 2015 Oct; 84(10):1894-902. PubMed ID: 26198117
[TBL] [Abstract][Full Text] [Related]
11. Magnetic resonance imaging of breast cancer and correlation with prognostic factors.
Chang YW; Kwon KH; Choi DL; Lee DW; Lee MH; Lee HK; Yang SB; Kim Y; Seo DY
Acta Radiol; 2009 Nov; 50(9):990-8. PubMed ID: 19863408
[TBL] [Abstract][Full Text] [Related]
12. The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer.
Çelebi F; Pilancı KN; Ordu Ç; Ağacayak F; Alço G; İlgün S; Sarsenov D; Erdoğan Z; Özmen V
Diagn Interv Radiol; 2015; 21(6):448-53. PubMed ID: 26359880
[TBL] [Abstract][Full Text] [Related]
13. Characteristics, Malignancy Rate, and Follow-up of BI-RADS Category 3 Lesions Identified at Breast MR Imaging: Implications for MR Image Interpretation and Management.
Chikarmane SA; Birdwell RL; Poole PS; Sippo DA; Giess CS
Radiology; 2016 Sep; 280(3):707-15. PubMed ID: 27089027
[TBL] [Abstract][Full Text] [Related]
14. High resolution MRI of the breast at 3 T: which BI-RADS® descriptors are most strongly associated with the diagnosis of breast cancer?
Pinker-Domenig K; Bogner W; Gruber S; Bickel H; Duffy S; Schernthaner M; Dubsky P; Pluschnig U; Rudas M; Trattnig S; Helbich TH
Eur Radiol; 2012 Feb; 22(2):322-30. PubMed ID: 21913060
[TBL] [Abstract][Full Text] [Related]
15. False-positive findings at contrast-enhanced breast MRI: a BI-RADS descriptor study.
Baltzer PA; Benndorf M; Dietzel M; Gajda M; Runnebaum IB; Kaiser WA
AJR Am J Roentgenol; 2010 Jun; 194(6):1658-63. PubMed ID: 20489110
[TBL] [Abstract][Full Text] [Related]
16. Association Between Imaging Characteristics and Different Molecular Subtypes of Breast Cancer.
Wu M; Ma J
Acad Radiol; 2017 Apr; 24(4):426-434. PubMed ID: 27955963
[TBL] [Abstract][Full Text] [Related]
17. [Clinical characteristics and survival in the operable breast cancer patients with different molecular subtypes].
Zhang HM; Zhang BN; Xuan LX; Zhao P
Zhonghua Zhong Liu Za Zhi; 2009 Jun; 31(6):447-51. PubMed ID: 19950556
[TBL] [Abstract][Full Text] [Related]
18. Prediction of molecular subtypes of breast cancer using BI-RADS features based on a "white box" machine learning approach in a multi-modal imaging setting.
Wu M; Zhong X; Peng Q; Xu M; Huang S; Yuan J; Ma J; Tan T
Eur J Radiol; 2019 May; 114():175-184. PubMed ID: 31005170
[TBL] [Abstract][Full Text] [Related]
19. Magnetic resonance imaging features in triple-negative breast cancer: comparison with luminal and HER2-overexpressing tumors.
Costantini M; Belli P; Distefano D; Bufi E; Matteo MD; Rinaldi P; Giuliani M; Petrone G; Magno S; Bonomo L
Clin Breast Cancer; 2012 Oct; 12(5):331-9. PubMed ID: 23040001
[TBL] [Abstract][Full Text] [Related]
20. Analysis of factors that influence the accuracy of magnetic resonance imaging for predicting response after neoadjuvant chemotherapy in locally advanced breast cancer.
Ko ES; Han BK; Kim RB; Ko EY; Shin JH; Hahn SY; Nam SJ; Lee JE; Lee SK; Im YH; Park YH
Ann Surg Oncol; 2013 Aug; 20(8):2562-8. PubMed ID: 23463090
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]