156 related articles for article (PubMed ID: 28370289)
1. Estimating breast tumor blood flow during neoadjuvant chemotherapy using interleaved high temporal and high spatial resolution MRI.
Georgiou L; Sharma N; Broadbent DA; Wilson DJ; Dall BJ; Gangi A; Buckley DL
Magn Reson Med; 2018 Jan; 79(1):317-326. PubMed ID: 28370289
[TBL] [Abstract][Full Text] [Related]
2. Breast tumour volume and blood flow measured by MRI after one cycle of epirubicin and cyclophosphamide-based neoadjuvant chemotherapy as predictors of pathological response.
Stevens W; Farrow IM; Georgiou L; Hanby AM; Perren TJ; Windel LM; Wilson DJ; Sharma N; Dodwell D; Hughes TA; Dall BJ; Buckley DL
Br J Radiol; 2021 Jul; 94(1123):20201396. PubMed ID: 34106751
[TBL] [Abstract][Full Text] [Related]
3. Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study.
Thawani R; Gao L; Mohinani A; Tudorica A; Li X; Mitri Z; Huang W
BMC Med Imaging; 2022 Oct; 22(1):182. PubMed ID: 36266631
[TBL] [Abstract][Full Text] [Related]
4. Early Prediction of Breast Cancer Therapy Response using Multiresolution Fractal Analysis of DCE-MRI Parametric Maps.
Machireddy A; Thibault G; Tudorica A; Afzal A; Mishal M; Kemmer K; Naik A; Troxell M; Goranson E; Oh K; Roy N; Jafarian N; Holtorf M; Huang W; Song X
Tomography; 2019 Mar; 5(1):90-98. PubMed ID: 30854446
[TBL] [Abstract][Full Text] [Related]
5. Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer.
Ah-See ML; Makris A; Taylor NJ; Harrison M; Richman PI; Burcombe RJ; Stirling JJ; d'Arcy JA; Collins DJ; Pittam MR; Ravichandran D; Padhani AR
Clin Cancer Res; 2008 Oct; 14(20):6580-9. PubMed ID: 18927299
[TBL] [Abstract][Full Text] [Related]
6. Response to neoadjuvant treatment of invasive ductal breast carcinomas including outcome evaluation: MRI analysis by an automatic CAD system in comparison to visual evaluation.
Böttcher J; Renz DM; Zahm DM; Pfeil A; Fallenberg EM; Streitparth F; Maurer MH; Hamm B; Engelken FJ
Acta Oncol; 2014 Jun; 53(6):759-68. PubMed ID: 24299492
[TBL] [Abstract][Full Text] [Related]
7. Quantitative evaluation of breast cancer response to neoadjuvant chemotherapy by diffusion tensor imaging: Initial results.
Furman-Haran E; Nissan N; Ricart-Selma V; Martinez-Rubio C; Degani H; Camps-Herrero J
J Magn Reson Imaging; 2018 Apr; 47(4):1080-1090. PubMed ID: 28901594
[TBL] [Abstract][Full Text] [Related]
8. Prognostic Value of 68Ga-NOTA-RGD PET/CT for Predicting Disease-Free Survival for Patients With Breast Cancer Undergoing Neoadjuvant Chemotherapy and Surgery: A Comparison Study With Dynamic Contrast Enhanced MRI.
Kim YI; Yoon HJ; Paeng JC; Cheon GJ; Lee DS; Chung JK; Kim EE; Moon WK; Kang KW
Clin Nucl Med; 2016 Aug; 41(8):614-20. PubMed ID: 27276207
[TBL] [Abstract][Full Text] [Related]
9. Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: preliminary results.
Abramson RG; Li X; Hoyt TL; Su PF; Arlinghaus LR; Wilson KJ; Abramson VG; Chakravarthy AB; Yankeelov TE
Magn Reson Imaging; 2013 Nov; 31(9):1457-64. PubMed ID: 23954320
[TBL] [Abstract][Full Text] [Related]
10. Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy.
Wu J; Gong G; Cui Y; Li R
J Magn Reson Imaging; 2016 Nov; 44(5):1107-1115. PubMed ID: 27080586
[TBL] [Abstract][Full Text] [Related]
11. Primary human breast adenocarcinoma: imaging and histologic correlates of intrinsic susceptibility-weighted MR imaging before and during chemotherapy.
Li SP; Taylor NJ; Makris A; Ah-See ML; Beresford MJ; Stirling JJ; d'Arcy JA; Collins DJ; Padhani AR
Radiology; 2010 Dec; 257(3):643-52. PubMed ID: 20858850
[TBL] [Abstract][Full Text] [Related]
12. Monitoring breast cancer response to neoadjuvant systemic chemotherapy using parametric contrast-enhanced MRI: a pilot study.
Chou CP; Wu MT; Chang HT; Lo YS; Pan HB; Degani H; Furman-Haran E
Acad Radiol; 2007 May; 14(5):561-73. PubMed ID: 17434070
[TBL] [Abstract][Full Text] [Related]
13. MRI and conservative treatment of locally advanced breast cancer.
Julius T; Kemp SE; Kneeshaw PJ; Chaturvedi A; Drew PJ; Turnbull LW
Eur J Surg Oncol; 2005 Dec; 31(10):1129-34. PubMed ID: 15905068
[TBL] [Abstract][Full Text] [Related]
14. Association between serial dynamic contrast-enhanced MRI and dynamic 18F-FDG PET measures in patients undergoing neoadjuvant chemotherapy for locally advanced breast cancer.
Partridge SC; Vanantwerp RK; Doot RK; Chai X; Kurland BF; Eby PR; Specht JM; Dunnwald LK; Schubert EK; Lehman CD; Mankoff DA
J Magn Reson Imaging; 2010 Nov; 32(5):1124-31. PubMed ID: 21031518
[TBL] [Abstract][Full Text] [Related]
15. Analysis of DCE-MRI for Early Prediction of Breast Cancer Therapy Response.
Machireddy A; Thibault G; Huang W; Song X
Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():682-685. PubMed ID: 30440488
[TBL] [Abstract][Full Text] [Related]
16. Large coverage black-bright blood interleaved imaging sequence (LaBBI) for 3D dynamic contrast-enhanced MRI of vessel wall.
Qi H; Huang F; Zhou Z; Koken P; Balu N; Zhang B; Yuan C; Chen H
Magn Reson Med; 2018 Mar; 79(3):1334-1344. PubMed ID: 28626998
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Role of dynamic contrast enhanced MRI in monitoring early response of locally advanced breast cancer to neoadjuvant chemotherapy.
Pickles MD; Lowry M; Manton DJ; Gibbs P; Turnbull LW
Breast Cancer Res Treat; 2005 May; 91(1):1-10. PubMed ID: 15868426
[TBL] [Abstract][Full Text] [Related]
19. Quantification of perfusion and permeability in breast tumors with a deconvolution-based analysis of second-bolus T1-DCE data.
Makkat S; Luypaert R; Sourbron S; Stadnik T; De Mey J
J Magn Reson Imaging; 2007 Jun; 25(6):1159-67. PubMed ID: 17520720
[TBL] [Abstract][Full Text] [Related]
20. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
