294 related articles for article (PubMed ID: 29219225)
41. Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics Study.
Wang J; Kato F; Oyama-Manabe N; Li R; Cui Y; Tha KK; Yamashita H; Kudo K; Shirato H
PLoS One; 2015; 10(11):e0143308. PubMed ID: 26600392
[TBL] [Abstract][Full Text] [Related]
42. Can imaging kinetic parameters of dynamic contrast-enhanced magnetic resonance imaging be valuable in predicting clinicopathological prognostic factors of invasive breast cancer?
Wang C; Wei W; Santiago L; Whitman G; Dogan B
Acta Radiol; 2018 Jul; 59(7):813-821. PubMed ID: 29105486
[TBL] [Abstract][Full Text] [Related]
43. Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.
Lee SH; Kim JH; Cho N; Park JS; Yang Z; Jung YS; Moon WK
Med Phys; 2010 Aug; 37(8):3940-56. PubMed ID: 20879557
[TBL] [Abstract][Full Text] [Related]
44. Dynamic contrast-enhanced and diffusion-weighted MRI of invasive breast cancer for the prediction of sentinel lymph node status.
Choi EJ; Youk JH; Choi H; Song JS
J Magn Reson Imaging; 2020 Feb; 51(2):615-626. PubMed ID: 31313393
[TBL] [Abstract][Full Text] [Related]
45. Radiomic features of Pk-DCE MRI parameters based on the extensive Tofts model in application of breast cancer.
Zhou X; Gao F; Duan S; Zhang L; Liu Y; Zhou J; Bai G; Tao W
Phys Eng Sci Med; 2020 Jun; 43(2):517-524. PubMed ID: 32524436
[TBL] [Abstract][Full Text] [Related]
46. Enhanced Masses on Contrast-Enhanced Breast: Differentiation Using a Combination of Dynamic Contrast-Enhanced MRI and Quantitative Evaluation with Synthetic MRI.
Matsuda M; Tsuda T; Ebihara R; Toshimori W; Takeda S; Okada K; Nakasuka K; Shiraishi Y; Suekuni H; Kamei Y; Kurata M; Kitazawa R; Mochizuki T; Kido T
J Magn Reson Imaging; 2021 Feb; 53(2):381-391. PubMed ID: 32914921
[TBL] [Abstract][Full Text] [Related]
47. Separation of benign and malignant breast lesions using dynamic contrast enhanced MRI in a biopsy cohort.
Kim SG; Freed M; Leite APK; Zhang J; Seuss C; Moy L
J Magn Reson Imaging; 2017 May; 45(5):1385-1393. PubMed ID: 27766710
[TBL] [Abstract][Full Text] [Related]
48. An MRI-based Radiomics Classifier for Preoperative Prediction of Ki-67 Status in Breast Cancer.
Liang C; Cheng Z; Huang Y; He L; Chen X; Ma Z; Huang X; Liang C; Liu Z
Acad Radiol; 2018 Sep; 25(9):1111-1117. PubMed ID: 29428211
[TBL] [Abstract][Full Text] [Related]
49. Application of whole-lesion histogram analysis of pharmacokinetic parameters in dynamic contrast-enhanced MRI of breast lesions with the CAIPIRINHA-Dixon-TWIST-VIBE technique.
Li Z; Ai T; Hu Y; Yan X; Nickel MD; Xu X; Xia L
J Magn Reson Imaging; 2018 Jan; 47(1):91-96. PubMed ID: 28577335
[TBL] [Abstract][Full Text] [Related]
50. Feasibility analysis of early temporal kinetics as a surrogate marker for breast tumor type, grade, and aggressiveness.
Heacock L; Lewin AA; Gao Y; Babb JS; Heller SL; Melsaether AN; Bagadiya N; Kim SG; Moy L
J Magn Reson Imaging; 2018 Jun; 47(6):1692-1700. PubMed ID: 29178258
[TBL] [Abstract][Full Text] [Related]
51. Automatic identification and classification of characteristic kinetic curves of breast lesions on DCE-MRI.
Chen W; Giger ML; Bick U; Newstead GM
Med Phys; 2006 Aug; 33(8):2878-87. PubMed ID: 16964864
[TBL] [Abstract][Full Text] [Related]
52. Breast MRI contrast enhancement kinetics of normal parenchyma correlate with presence of breast cancer.
Wu S; Berg WA; Zuley ML; Kurland BF; Jankowitz RC; Nishikawa R; Gur D; Sumkin JH
Breast Cancer Res; 2016 Jul; 18(1):76. PubMed ID: 27449059
[TBL] [Abstract][Full Text] [Related]
53. Histogram analysis of quantitative pharmacokinetic parameters on DCE-MRI: correlations with prognostic factors and molecular subtypes in breast cancer.
Nagasaka K; Satake H; Ishigaki S; Kawai H; Naganawa S
Breast Cancer; 2019 Jan; 26(1):113-124. PubMed ID: 30069785
[TBL] [Abstract][Full Text] [Related]
54. Intratumoral analysis of digital breast tomosynthesis for predicting the Ki-67 level in breast cancer: A multi-center radiomics study.
Jiang T; Jiang W; Chang S; Wang H; Niu S; Yue Z; Yang H; Wang X; Zhao N; Fang S; Luo Y; Jiang X
Med Phys; 2022 Jan; 49(1):219-230. PubMed ID: 34861045
[TBL] [Abstract][Full Text] [Related]
55. Feasibility and Diagnostic Performance of Voxelwise Computed Diffusion-Weighted Imaging in Breast Cancer.
Zhou J; Chen E; Xu H; Ye Q; Li J; Ye S; Cheng Q; Zhao L; Su MY; Wang M
J Magn Reson Imaging; 2019 Jun; 49(6):1610-1616. PubMed ID: 30328211
[TBL] [Abstract][Full Text] [Related]
56. Applying a new quantitative global breast MRI feature analysis scheme to assess tumor response to chemotherapy.
Aghaei F; Tan M; Hollingsworth AB; Zheng B
J Magn Reson Imaging; 2016 Nov; 44(5):1099-1106. PubMed ID: 27080203
[TBL] [Abstract][Full Text] [Related]
57. Characterization of spatiotemporal changes for the classification of dynamic contrast-enhanced magnetic-resonance breast lesions.
Milenković J; Hertl K; Košir A; Zibert J; Tasič JF
Artif Intell Med; 2013 Jun; 58(2):101-14. PubMed ID: 23548472
[TBL] [Abstract][Full Text] [Related]
58. Texture analysis using non-contrast MRI to predict estrogen receptor status in breast cancer lesions: Is it feasible?
Shokeir FA; Elmokadem AH; Soliman N; Khater A; Bayoumi D
Clin Radiol; 2024 Jul; 79(7):e892-e899. PubMed ID: 38719689
[TBL] [Abstract][Full Text] [Related]
59. Integration of dynamic contrast-enhanced magnetic resonance imaging and T2-weighted imaging radiomic features by a canonical correlation analysis-based feature fusion method to predict histological grade in ductal breast carcinoma.
Fan M; Liu Z; Xie S; Xu M; Wang S; Gao X; Li L
Phys Med Biol; 2019 Oct; 64(21):215001. PubMed ID: 31470420
[TBL] [Abstract][Full Text] [Related]
60. 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]
[Previous] [Next] [New Search]
