171 related articles for article (PubMed ID: 26497503)
1. Correlation between conductivity and prognostic factors in invasive breast cancer using magnetic resonance electric properties tomography (MREPT).
Kim SY; Shin J; Kim DH; Kim MJ; Kim EK; Moon HJ; Yoon JH
Eur Radiol; 2016 Jul; 26(7):2317-26. PubMed ID: 26497503
[TBL] [Abstract][Full Text] [Related]
2. Initial study on in vivo conductivity mapping of breast cancer using MRI.
Shin J; Kim MJ; Lee J; Nam Y; Kim MO; Choi N; Kim S; Kim DH
J Magn Reson Imaging; 2015 Aug; 42(2):371-8. PubMed ID: 25413153
[TBL] [Abstract][Full Text] [Related]
3. Correlation between electrical conductivity and apparent diffusion coefficient in breast cancer: effect of necrosis on magnetic resonance imaging.
Kim SY; Shin J; Kim DH; Kim EK; Moon HJ; Yoon JH; You JK; Kim MJ
Eur Radiol; 2018 Aug; 28(8):3204-3214. PubMed ID: 29511804
[TBL] [Abstract][Full Text] [Related]
4. Is there different correlation with prognostic factors between "non-mass" and "mass" type invasive ductal breast cancers?
Jiang L; Zhou Y; Wang Z; Lu X; Chen M; Zhou C
Eur J Radiol; 2013 Sep; 82(9):1404-9. PubMed ID: 23540946
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Correlation of MRI features and pathohistological prognostic factors in invasive ductal breast carcinoma.
Alduk AM; Brcic I; Podolski P; Prutki M
Acta Clin Belg; 2017 Oct; 72(5):306-312. PubMed ID: 27996889
[TBL] [Abstract][Full Text] [Related]
7. Diffusion-weighted imaging and (18) F-fluorodeoxyglucose positron emission tomography/computed tomography in breast cancer: Correlation of the apparent diffusion coefficient and maximum standardized uptake values with prognostic factors.
Karan B; Pourbagher A; Torun N
J Magn Reson Imaging; 2016 Jun; 43(6):1434-44. PubMed ID: 26663655
[TBL] [Abstract][Full Text] [Related]
8. Agreement between MRI and pathologic analyses for determination of tumor size and correlation with immunohistochemical factors of invasive breast carcinoma.
Yoo EY; Nam SY; Choi HY; Hong MJ
Acta Radiol; 2018 Jan; 59(1):50-57. PubMed ID: 28425758
[TBL] [Abstract][Full Text] [Related]
9. Simultaneous imaging of dual-frequency electrical conductivity using a combination of MREIT and MREPT.
Kim HJ; Jeong WC; Sajib SZ; Kim MO; Kwon OI; Je Woo E; Kim DH
Magn Reson Med; 2014 Jan; 71(1):200-8. PubMed ID: 23400804
[TBL] [Abstract][Full Text] [Related]
10. Time-to-enhancement at ultrafast breast DCE-MRI: potential imaging biomarker of tumour aggressiveness.
Shin SU; Cho N; Kim SY; Lee SH; Chang JM; Moon WK
Eur Radiol; 2020 Jul; 30(7):4058-4068. PubMed ID: 32144456
[TBL] [Abstract][Full Text] [Related]
11. Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma.
Jeh SK; Kim SH; Kim HS; Kang BJ; Jeong SH; Yim HW; Song BJ
J Magn Reson Imaging; 2011 Jan; 33(1):102-9. PubMed ID: 21182127
[TBL] [Abstract][Full Text] [Related]
12. Preoperative MRI features associated with lymphovascular invasion in node-negative invasive breast cancer: A propensity-matched analysis.
Cheon H; Kim HJ; Lee SM; Cho SH; Shin KM; Kim GC; Park JY; Kim WH
J Magn Reson Imaging; 2017 Oct; 46(4):1037-1044. PubMed ID: 28370761
[TBL] [Abstract][Full Text] [Related]
13. Computer-aided interpretation of dynamic magnetic resonance imaging reflects histopathology of invasive breast cancer.
Baltzer PA; Vag T; Dietzel M; Beger S; Freiberg C; Gajda M; Camara O; Kaiser WA
Eur Radiol; 2010 Jul; 20(7):1563-71. PubMed ID: 20204647
[TBL] [Abstract][Full Text] [Related]
14. The Accuracy of Breast MR Imaging for Measuring the Size of a Breast Cancer: Analysis of the Histopathologic Factors.
Choi WJ; Cha JH; Kim HH; Shin HJ; Chae EY
Clin Breast Cancer; 2016 Dec; 16(6):e145-e152. PubMed ID: 27566960
[TBL] [Abstract][Full Text] [Related]
15. Relationship between parameters from virtual touch tissue quantification (VTQ) imaging with clinicopathologic prognostic factors in women with invasive ductal breast cancer.
Xie J; Wu R; Xu HX; Yao MH; Xu G
Int J Clin Exp Pathol; 2014; 7(10):6644-52. PubMed ID: 25400743
[TBL] [Abstract][Full Text] [Related]
16. Intravoxel incoherent motion (IVIM)-derived parameters in diffusion-weighted MRI: Associations with prognostic factors in invasive ductal carcinoma.
Lee YJ; Kim SH; Kang BJ; Kang YJ; Yoo H; Yoo J; Lee J; Son YH; Grimm R
J Magn Reson Imaging; 2017 May; 45(5):1394-1406. PubMed ID: 27796081
[TBL] [Abstract][Full Text] [Related]
17. Diffusion tensor magnetic resonance imaging of breast cancer: associations between diffusion metrics and histological prognostic factors.
Kim JY; Kim JJ; Kim S; Choo KS; Kim A; Kang T; Park H
Eur Radiol; 2018 Aug; 28(8):3185-3193. PubMed ID: 29713771
[TBL] [Abstract][Full Text] [Related]
18. Is breast magnetic resonance imaging (MRI) useful for diagnosis of additional sites of disease in patients recently diagnosed with pure ductal carcinoma in situ (DCIS)?
Benveniste AP; Ortiz-Perez T; Ebuoma LO; Sepulveda KA; Severs FJ; Roark A; Wang T; Sedgwick EL
Eur J Radiol; 2017 Nov; 96():74-79. PubMed ID: 29103479
[TBL] [Abstract][Full Text] [Related]
19. Intravoxel incoherent motion diffusion-weighted MRI of invasive breast cancer: Correlation with prognostic factors and kinetic features acquired with computer-aided diagnosis.
Song SE; Cho KR; Seo BK; Woo OH; Park KH; Son YH; Grimm R
J Magn Reson Imaging; 2019 Jan; 49(1):118-130. PubMed ID: 30238533
[TBL] [Abstract][Full Text] [Related]
20. Peritumoral edema as a biomarker of the aggressiveness of breast cancer: results of a retrospective study on a 3 T scanner.
Panzironi G; Moffa G; Galati F; Marzocca F; Rizzo V; Pediconi F
Breast Cancer Res Treat; 2020 May; 181(1):53-60. PubMed ID: 32185587
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
