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Items: 1 to 20 of 73

1.

Qualitative and quantitative image-based biomarkers of therapeutic response in triple-negative breast cancer.

Golden DI, Lipson JA, Telli ML, Ford JM, Rubin DL.

AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:62. eCollection 2013.

PMID:
24303300
2.

Dynamic contrast-enhanced MRI-based biomarkers of therapeutic response in triple-negative breast cancer.

Golden DI, Lipson JA, Telli ML, Ford JM, Rubin DL.

J Am Med Inform Assoc. 2013 Nov-Dec;20(6):1059-66. doi: 10.1136/amiajnl-2012-001460. Epub 2013 Jun 19.

3.

DCE-MRI parameters have potential to predict response of locally advanced breast cancer patients to neoadjuvant chemotherapy and hyperthermia: a pilot study.

Craciunescu OI, Blackwell KL, Jones EL, Macfall JR, Yu D, Vujaskovic Z, Wong TZ, Liotcheva V, Rosen EL, Prosnitz LR, Samulski TV, Dewhirst MW.

Int J Hyperthermia. 2009;25(6):405-15. doi: 10.1080/02656730903022700.

4.

Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy.

Hahn SY, Ko EY, Han BK, Shin JH, Ko ES.

Eur J Radiol. 2014 Feb;83(2):283-8. doi: 10.1016/j.ejrad.2013.10.023. Epub 2013 Nov 20.

PMID:
24315957
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 15;14(20):6580-9. doi: 10.1158/1078-0432.CCR-07-4310.

6.
7.

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 Nov 24;10(11):e0143308. doi: 10.1371/journal.pone.0143308. eCollection 2015.

8.

FDG PET/CT during neoadjuvant chemotherapy may predict response in ER-positive/HER2-negative and triple negative, but not in HER2-positive breast cancer.

Koolen BB, Pengel KE, Wesseling J, Vogel WV, Vrancken Peeters MJ, Vincent AD, Gilhuijs KG, Rodenhuis S, Rutgers EJ, Valdés Olmos RA.

Breast. 2013 Oct;22(5):691-7. doi: 10.1016/j.breast.2012.12.020. Epub 2013 Feb 12.

PMID:
23414930
9.

Dynamic contrast-enhanced MRI for prediction of breast cancer response to neoadjuvant chemotherapy: initial results.

Loo CE, Teertstra HJ, Rodenhuis S, van de Vijver MJ, Hannemann J, Muller SH, Peeters MJ, Gilhuijs KG.

AJR Am J Roentgenol. 2008 Nov;191(5):1331-8. doi: 10.2214/AJR.07.3567.

PMID:
18941065
10.

Recurrence rates after DCE-MRI image guided planning for breast-conserving surgery following neoadjuvant chemotherapy for locally advanced breast cancer patients.

Garimella V, Qutob O, Fox JN, Long ED, Chaturvedi A, Turnbull LW, Drew PJ.

Eur J Surg Oncol. 2007 Mar;33(2):157-61. Epub 2006 Nov 7.

PMID:
17085007
11.

Overview of resistance to systemic therapy in patients with breast cancer.

Gonzalez-Angulo AM, Morales-Vasquez F, Hortobagyi GN.

Adv Exp Med Biol. 2007;608:1-22. Review.

PMID:
17993229
12.

Thin-section CT evaluation and pathologic correlation of therapeutic effect of neoadjuvant chemotherapy for axillary lymph nodes of clinically node-positive breast cancer patients.

Ogawa Y, Nishioka A, Nishigawa T, Kubota K, Kariya S, Yoshida S, Tanaka Y, Moriki T, Tochika N.

Oncol Rep. 2003 Jul-Aug;10(4):985-9.

PMID:
12792757
13.

Comparison between 18F-FDG PET image-derived indices for early prediction of response to neoadjuvant chemotherapy in breast cancer.

Hatt M, Groheux D, Martineau A, Espié M, Hindié E, Giacchetti S, de Roquancourt A, Visvikis D, Cheze-Le Rest C.

J Nucl Med. 2013 Mar;54(3):341-9. doi: 10.2967/jnumed.112.108837. Epub 2013 Jan 17.

14.

Dual phase qualitative and quantitative 99mTc-MIBI scintimammography for predicting response to neoadjuvant chemotherapy in breast cancer.

Zaman MU, Nasir Z, Raza T, Hashmi H, Hashmi A, Fatima N.

J Coll Physicians Surg Pak. 2009 Mar;19(3):173-8. doi: 03.2009/JCPSP.173178.

PMID:
19268018
15.

Neoadjuvant chemotherapy in breast cancer: prediction of pathologic response with PET/CT and dynamic contrast-enhanced MR imaging--prospective assessment.

Tateishi U, Miyake M, Nagaoka T, Terauchi T, Kubota K, Kinoshita T, Daisaki H, Macapinlac HA.

Radiology. 2012 Apr;263(1):53-63. doi: 10.1148/radiol.12111177.

PMID:
22438441
16.

Residual metastatic axillary lymph nodes following neoadjuvant chemotherapy predict disease-free survival in patients with locally advanced breast cancer.

Kuerer HM, Newman LA, Buzdar AU, Hunt KK, Dhingra K, Buchholz TA, Binkley SM, Ames FC, Feig BW, Ross MI, Hortobagyi GN, Singletary SE.

Am J Surg. 1998 Dec;176(6):502-9.

PMID:
9926779
17.

Assessment of an RNA interference screen-derived mitotic and ceramide pathway metagene as a predictor of response to neoadjuvant paclitaxel for primary triple-negative breast cancer: a retrospective analysis of five clinical trials.

Juul N, Szallasi Z, Eklund AC, Li Q, Burrell RA, Gerlinger M, Valero V, Andreopoulou E, Esteva FJ, Symmans WF, Desmedt C, Haibe-Kains B, Sotiriou C, Pusztai L, Swanton C.

Lancet Oncol. 2010 Apr;11(4):358-65. doi: 10.1016/S1470-2045(10)70018-8. Epub 2010 Feb 26.

18.

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. doi: 10.1016/j.artmed.2013.03.002. Epub 2013 Mar 30.

PMID:
23548472
19.

Texture analysis in assessment and prediction of chemotherapy response in breast cancer.

Ahmed A, Gibbs P, Pickles M, Turnbull L.

J Magn Reson Imaging. 2013 Jul;38(1):89-101. doi: 10.1002/jmri.23971. Epub 2012 Dec 13.

PMID:
23238914
20.

Dynamic breast magnetic resonance imaging: pretreatment prediction of tumor response to neoadjuvant chemotherapy.

Dongfeng H, Daqing M, Erhu J.

Clin Breast Cancer. 2012 Apr;12(2):94-101. doi: 10.1016/j.clbc.2011.11.002. Epub 2011 Dec 13.

PMID:
22169574
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