267 related articles for article (PubMed ID: 31815728)
1. Characterization of breast lesions using diffusion kurtosis model-based imaging: An initial experience.
Zhou WP; Zan XY; Hu XY; Liu X; Sudarshan SKP; Yang SD; Guo YJ; Fang XM
J Xray Sci Technol; 2020; 28(1):157-169. PubMed ID: 31815728
[TBL] [Abstract][Full Text] [Related]
2. Diffusion Kurtosis at 3.0T as an in vivo Imaging Marker for Breast Cancer Characterization: Correlation With Prognostic Factors.
Huang Y; Lin Y; Hu W; Ma C; Lin W; Wang Z; Liang J; Ye W; Zhao J; Wu R
J Magn Reson Imaging; 2019 Mar; 49(3):845-856. PubMed ID: 30260589
[TBL] [Abstract][Full Text] [Related]
3. Use of diffusion kurtosis imaging and quantitative dynamic contrast-enhanced MRI for the differentiation of breast tumors.
Li T; Yu T; Li L; Lu L; Zhuo Y; Lian J; Xiong Y; Kong D; Li K
J Magn Reson Imaging; 2018 Nov; 48(5):1358-1366. PubMed ID: 29717790
[TBL] [Abstract][Full Text] [Related]
4. Diffusion kurtosis imaging does not improve differentiation performance of breast lesions in a short clinical protocol.
Palm T; Wenkel E; Ohlmeyer S; Janka R; Uder M; Weiland E; Bickelhaupt S; Ladd ME; Zaitsev M; Hensel B; Laun FB
Magn Reson Imaging; 2019 Nov; 63():205-216. PubMed ID: 31425816
[TBL] [Abstract][Full Text] [Related]
5. Diffusional kurtosis imaging for differentiation of additional suspicious lesions on preoperative breast MRI of patients with known breast cancer.
Park VY; Kim SG; Kim EK; Moon HJ; Yoon JH; Kim MJ
Magn Reson Imaging; 2019 Oct; 62():199-208. PubMed ID: 31323316
[TBL] [Abstract][Full Text] [Related]
6. Characterization of breast tumors using diffusion kurtosis imaging (DKI).
Wu D; Li G; Zhang J; Chang S; Hu J; Dai Y
PLoS One; 2014; 9(11):e113240. PubMed ID: 25406010
[TBL] [Abstract][Full Text] [Related]
7. Breast lesion characterization using whole-lesion histogram analysis with stretched-exponential diffusion model.
Liu C; Wang K; Li X; Zhang J; Ding J; Spuhler K; Duong T; Liang C; Huang C
J Magn Reson Imaging; 2018 Jun; 47(6):1701-1710. PubMed ID: 29165847
[TBL] [Abstract][Full Text] [Related]
8. Application of the diffusion kurtosis model for the study of breast lesions.
Nogueira L; Brandão S; Matos E; Nunes RG; Loureiro J; Ramos I; Ferreira HA
Eur Radiol; 2014 Jun; 24(6):1197-203. PubMed ID: 24658871
[TBL] [Abstract][Full Text] [Related]
9. Histogram analysis of diffusion kurtosis imaging in the differentiation of malignant from benign breast lesions.
Liu W; Wei C; Bai J; Gao X; Zhou L
Eur J Radiol; 2019 Aug; 117():156-163. PubMed ID: 31307642
[TBL] [Abstract][Full Text] [Related]
10. Multiparametric diffusion-weighted imaging in breast lesions: Association with pathologic diagnosis and prognostic factors.
Suo S; Cheng F; Cao M; Kang J; Wang M; Hua J; Hua X; Li L; Lu Q; Liu J; Xu J
J Magn Reson Imaging; 2017 Sep; 46(3):740-750. PubMed ID: 28139036
[TBL] [Abstract][Full Text] [Related]
11. Comparison of the diagnostic performances of diffusion parameters in diffusion weighted imaging and diffusion tensor imaging of breast lesions.
Cakir O; Arslan A; Inan N; Anık Y; Sarısoy T; Gumustas S; Akansel G
Eur J Radiol; 2013 Dec; 82(12):e801-6. PubMed ID: 24099642
[TBL] [Abstract][Full Text] [Related]
12. The outstanding diagnostic value of DKI in multimodal magnetic resonance imaging for benign and malignant breast tumors: A diagnostic accuracy study.
Gao Y; Wang Y; Zhang H; Li X; Han L
Medicine (Baltimore); 2023 Oct; 102(40):e35337. PubMed ID: 37800758
[TBL] [Abstract][Full Text] [Related]
13. Diffusion kurtosis imaging for differentiating between the benign and malignant sinonasal lesions.
Jiang JX; Tang ZH; Zhong YF; Qiang JW
J Magn Reson Imaging; 2017 May; 45(5):1446-1454. PubMed ID: 27758016
[TBL] [Abstract][Full Text] [Related]
14. Accuracy of diffusion kurtosis imaging in characterization of breast lesions.
Christou A; Ghiatas A; Priovolos D; Veliou K; Bougias H
Br J Radiol; 2017 May; 90(1073):20160873. PubMed ID: 28383279
[TBL] [Abstract][Full Text] [Related]
15. Optimal b-values for diffusion kurtosis imaging in invasive ductal carcinoma versus ductal carcinoma in situ breast lesions.
Borlinhas F; Conceição RC; Ferreira HA
Australas Phys Eng Sci Med; 2019 Sep; 42(3):871-885. PubMed ID: 31321627
[TBL] [Abstract][Full Text] [Related]
16. Diffusion and perfusion MR parameters to assess preoperative short-course radiotherapy response in locally advanced rectal cancer: a comparative explorative study among Standardized Index of Shape by DCE-MRI, intravoxel incoherent motion- and diffusion kurtosis imaging-derived parameters.
Fusco R; Sansone M; Granata V; Grimm R; Pace U; Delrio P; Tatangelo F; Botti G; Avallone A; Pecori B; Petrillo A
Abdom Radiol (NY); 2019 Nov; 44(11):3683-3700. PubMed ID: 30361867
[TBL] [Abstract][Full Text] [Related]
17. Staging liver fibrosis with DWI: is there an added value for diffusion kurtosis imaging?
Yang L; Rao S; Wang W; Chen C; Ding Y; Yang C; Grimm R; Yan X; Fu C; Zeng M
Eur Radiol; 2018 Jul; 28(7):3041-3049. PubMed ID: 29383522
[TBL] [Abstract][Full Text] [Related]
18. Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: comparison with conventional DWI.
Liu C; Liang C; Liu Z; Zhang S; Huang B
Eur J Radiol; 2013 Dec; 82(12):e782-9. PubMed ID: 24034833
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Application of magnetic resonance diffusion kurtosis imaging for distinguishing histopathologic subtypes and grades of rectal carcinoma.
Wen Z; Chen Y; Yang X; Lu B; Liu Y; Shen B; Yu S
Cancer Imaging; 2019 Feb; 19(1):8. PubMed ID: 30744694
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]