185 related articles for article (PubMed ID: 30810889)
1. Discrimination between breast invasive ductal carcinomas and benign lesions by optimizing quantitative parameters derived from dynamic contrast-enhanced MRI using a semi-automatic method.
Yang J; Yin J
Int J Clin Oncol; 2019 Jul; 24(7):815-824. PubMed ID: 30810889
[TBL] [Abstract][Full Text] [Related]
2. Quantitative discrimination between invasive ductal carcinomas and benign lesions based on semi-automatic analysis of time intensity curves from breast dynamic contrast enhanced MRI.
Yin J; Yang J; Han L; Guo Q; Zhang W
J Exp Clin Cancer Res; 2015 Mar; 34(1):24. PubMed ID: 25887917
[TBL] [Abstract][Full Text] [Related]
3. Discrimination between malignant and benign mass-like lesions from breast dynamic contrast enhanced MRI: semi-automatic vs. manual analysis of the signal time-intensity curves.
Yin J; Yang J; Jiang Z
J Cancer; 2018; 9(5):834-840. PubMed ID: 29581761
[No Abstract] [Full Text] [Related]
4. Classification of breast mass lesions on dynamic contrast-enhanced magnetic resonance imaging by a computer-assisted diagnosis system based on quantitative analysis.
Yin J; Yang J; Jiang Z
Oncol Lett; 2019 Mar; 17(3):2623-2630. PubMed ID: 30867727
[TBL] [Abstract][Full Text] [Related]
5. Performance evaluation of texture analysis based on kinetic parametric maps from breast DCE-MRI in classifying benign from malignant lesions.
Jiang Z; Yin J
J Surg Oncol; 2020 Jun; 121(8):1181-1190. PubMed ID: 32167588
[TBL] [Abstract][Full Text] [Related]
6. Differentiation between malignant and benign breast masses: combination of semi-quantitative analysis on DCE-MRI and histogram analysis of ADC maps.
Liu HL; Zong M; Wei H; Lou JJ; Wang SQ; Zou QG; Shi HB; Jiang YN
Clin Radiol; 2018 May; 73(5):460-466. PubMed ID: 29295753
[TBL] [Abstract][Full Text] [Related]
7. Preoperative predicting malignancy in breast mass-like lesions: value of adding histogram analysis of apparent diffusion coefficient maps to dynamic contrast-enhanced magnetic resonance imaging for improving confidence level.
Liu HL; Zong M; Wei H; Lou JJ; Wang SQ; Zou QG; Shi HB; Jiang YN
Br J Radiol; 2017 Nov; 90(1079):20170394. PubMed ID: 28876982
[TBL] [Abstract][Full Text] [Related]
8. Differentiation between subcentimeter carcinomas and benign lesions using kinetic parameters derived from ultrafast dynamic contrast-enhanced breast MRI.
Onishi N; Sadinski M; Gibbs P; Gallagher KM; Hughes MC; Ko ES; Dashevsky BZ; Shanbhag DD; Fung MM; Hunt TM; Martinez DF; Shukla-Dave A; Morris EA; Sutton EJ
Eur Radiol; 2020 Feb; 30(2):756-766. PubMed ID: 31468162
[TBL] [Abstract][Full Text] [Related]
9. Intravoxel incoherent motion diffusion-weighted imaging as an adjunct to dynamic contrast-enhanced MRI to improve accuracy of the differential diagnosis of benign and malignant breast lesions.
Ma D; Lu F; Zou X; Zhang H; Li Y; Zhang L; Chen L; Qin D; Wang B
Magn Reson Imaging; 2017 Feb; 36():175-179. PubMed ID: 27742437
[TBL] [Abstract][Full Text] [Related]
10. Discrimination between benign and malignant breast lesions using volumetric quantitative dynamic contrast-enhanced MR imaging.
Cheng Z; Wu Z; Shi G; Yi Z; Xie M; Zeng W; Song C; Zheng C; Shen J
Eur Radiol; 2018 Mar; 28(3):982-991. PubMed ID: 28929243
[TBL] [Abstract][Full Text] [Related]
11. 3D quantitative breast ultrasound analysis for differentiating fibroadenomas and carcinomas smaller than 1cm.
Meel-van den Abeelen AS; Weijers G; van Zelst JC; Thijssen JM; Mann RM; de Korte CL
Eur J Radiol; 2017 Mar; 88():141-147. PubMed ID: 28189199
[TBL] [Abstract][Full Text] [Related]
12. Total variation based DCE-MRI decomposition by separating lesion from background for time-intensity curve estimation.
Liu H; Zheng Y; Liang D; Tang P; Ren F; Zhang L; Zhao Z
Med Phys; 2017 Jun; 44(6):2321-2331. PubMed ID: 28370063
[TBL] [Abstract][Full Text] [Related]
13. Diagnostic Usefulness of Combination of Diffusion-weighted Imaging and T2WI, Including Apparent Diffusion Coefficient in Breast Lesions: Assessment of Histologic Grade.
Kim KW; Kuzmiak CM; Kim YJ; Seo JY; Jung HK; Lee MS
Acad Radiol; 2018 May; 25(5):643-652. PubMed ID: 29339079
[TBL] [Abstract][Full Text] [Related]
14. New parameters of ultrafast dynamic contrast-enhanced breast MRI using compressed sensing.
Honda M; Kataoka M; Onishi N; Iima M; Ohashi A; Kanao S; Nickel MD; Toi M; Togashi K
J Magn Reson Imaging; 2020 Jan; 51(1):164-174. PubMed ID: 31215107
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic performance of ADC for Non-mass-like breast lesions on MR imaging.
Imamura T; Isomoto I; Sueyoshi E; Yano H; Uga T; Abe K; Hayashi T; Honda S; Yamaguchi T; Uetani M
Magn Reson Med Sci; 2010; 9(4):217-25. PubMed ID: 21187691
[TBL] [Abstract][Full Text] [Related]
16. Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE-MRI.
Li H; Sun H; Liu S; Zhang W; Arukalam FM; Ma H; Qian W
J Magn Reson Imaging; 2019 Aug; 50(2):465-473. PubMed ID: 30688398
[TBL] [Abstract][Full Text] [Related]
17. Differentiation of breast cancer from fibroadenoma with dual-echo dynamic contrast-enhanced MRI.
Wang S; Delproposto Z; Wang H; Ding X; Ji C; Wang B; Xu M
PLoS One; 2013; 8(7):e67731. PubMed ID: 23844077
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A computer-aided diagnosis system for breast DCE-MRI at high spatiotemporal resolution.
Dalmış MU; Gubern-Mérida A; Vreemann S; Karssemeijer N; Mann R; Platel B
Med Phys; 2016 Jan; 43(1):84. PubMed ID: 26745902
[TBL] [Abstract][Full Text] [Related]
20. Ultrafast dynamic contrast-enhanced breast MRI may generate prognostic imaging markers of breast cancer.
Onishi N; Sadinski M; Hughes MC; Ko ES; Gibbs P; Gallagher KM; Fung MM; Hunt TJ; Martinez DF; Shukla-Dave A; Morris EA; Sutton EJ
Breast Cancer Res; 2020 May; 22(1):58. PubMed ID: 32466799
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]