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Items: 1 to 20 of 97

1.

Early prediction of the response of breast tumors to neoadjuvant chemotherapy using quantitative MRI and machine learning.

Mani S, Chen Y, Arlinghaus LR, Li X, Chakravarthy AB, Bhave SR, Welch EB, Levy MA, Yankeelov TE.

AMIA Annu Symp Proc. 2011;2011:868-77. Epub 2011 Oct 22.

2.

Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy.

Mani S, Chen Y, Li X, Arlinghaus L, Chakravarthy AB, Abramson V, Bhave SR, Levy MA, Xu H, Yankeelov TE.

J Am Med Inform Assoc. 2013 Jul-Aug;20(4):688-95. doi: 10.1136/amiajnl-2012-001332. Epub 2013 Apr 24.

3.

Prospective trial of breast MRI versus 2D and 3D ultrasound for evaluation of response to neoadjuvant chemotherapy.

Lee MC, Gonzalez SJ, Lin H, Zhao X, Kiluk JV, Laronga C, Mooney B.

Ann Surg Oncol. 2015 Sep;22(9):2888-94. doi: 10.1245/s10434-014-4357-3. Epub 2015 Jan 15.

PMID:
25589151
4.

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.

5.

Monitoring the size and response of locally advanced breast cancers to neoadjuvant chemotherapy (weekly paclitaxel and epirubicin) with serial enhanced MRI.

Cheung YC, Chen SC, Su MY, See LC, Hsueh S, Chang HK, Lin YC, Tsai CS.

Breast Cancer Res Treat. 2003 Mar;78(1):51-8.

PMID:
12611457
6.

Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy--results from ACRIN 6657/I-SPY TRIAL.

Hylton NM, Blume JD, Bernreuter WK, Pisano ED, Rosen MA, Morris EA, Weatherall PT, Lehman CD, Newstead GM, Polin S, Marques HS, Esserman LJ, Schnall MD; ACRIN 6657 Trial Team and I-SPY 1 TRIAL Investigators.

Radiology. 2012 Jun;263(3):663-72. doi: 10.1148/radiol.12110748.

7.

Magnetic resonance imaging enhancement features before and after neoadjuvant chemotherapy in patients with breast cancer: a predictive value for responders.

Kang DK, Kim TH, Han TS, Kim KS, Yim H.

J Comput Assist Tomogr. 2013 May-Jun;37(3):432-9. doi: 10.1097/RCT.0b013e31828386ae.

PMID:
23674017
8.

Utility of MRI and PET/CT after neoadjuvant chemotherapy in breast cancer patients: correlation with pathological response grading system based on tumor cellularity.

Kim T, Kang DK, An YS, Yim H, Jung YS, Kim KS, Kang SY, Kim TH.

Acta Radiol. 2014 May;55(4):399-408. doi: 10.1177/0284185113498720. Epub 2013 Aug 20.

PMID:
23963151
9.

Monitoring response to primary chemotherapy in breast cancer using dynamic contrast-enhanced magnetic resonance imaging.

Martincich L, Montemurro F, De Rosa G, Marra V, Ponzone R, Cirillo S, Gatti M, Biglia N, Sarotto I, Sismondi P, Regge D, Aglietta M.

Breast Cancer Res Treat. 2004 Jan;83(1):67-76.

PMID:
14997056
10.

MRI staging after neoadjuvant chemotherapy for breast cancer: does tumor biology affect accuracy?

McGuire KP, Toro-Burguete J, Dang H, Young J, Soran A, Zuley M, Bhargava R, Bonaventura M, Johnson R, Ahrendt G.

Ann Surg Oncol. 2011 Oct;18(11):3149-54. doi: 10.1245/s10434-011-1912-z. Epub 2011 Sep 27.

PMID:
21947592
11.

The assessment of breast cancer response to neoadjuvant chemotherapy: comparison of magnetic resonance imaging and 18F-fluorodeoxyglucose positron emission tomography.

Park JS, Moon WK, Lyou CY, Cho N, Kang KW, Chung JK.

Acta Radiol. 2011 Feb 1;52(1):21-8. doi: 10.1258/ar.2010.100142.

PMID:
21498321
12.

Accuracy of clinical evaluation of locally advanced breast cancer in patients receiving neoadjuvant chemotherapy.

Prati R, Minami CA, Gornbein JA, Debruhl N, Chung D, Chang HR.

Cancer. 2009 Mar 15;115(6):1194-202. doi: 10.1002/cncr.24154.

13.

Magnetic resonance imaging as a predictor of pathologic response in patients treated with neoadjuvant systemic treatment for operable breast cancer. Translational Breast Cancer Research Consortium trial 017.

De Los Santos JF, Cantor A, Amos KD, Forero A, Golshan M, Horton JK, Hudis CA, Hylton NM, McGuire K, Meric-Bernstam F, Meszoely IM, Nanda R, Hwang ES.

Cancer. 2013 May 15;119(10):1776-83. doi: 10.1002/cncr.27995. Epub 2013 Feb 21.

14.

Does MRI predict pathologic tumor response in women with breast cancer undergoing preoperative chemotherapy?

Segara D, Krop IE, Garber JE, Winer E, Harris L, Bellon JR, Birdwell R, Lester S, Lipsitz S, Iglehart JD, Golshan M.

J Surg Oncol. 2007 Nov 1;96(6):474-80.

PMID:
17640031
15.

Dynamic contrast-enhanced MRI texture analysis for pretreatment prediction of clinical and pathological response to neoadjuvant chemotherapy in patients with locally advanced breast cancer.

Teruel JR, Heldahl MG, Goa PE, Pickles M, Lundgren S, Bathen TF, Gibbs P.

NMR Biomed. 2014 Aug;27(8):887-96. doi: 10.1002/nbm.3132. Epub 2014 May 20.

PMID:
24840393
16.

Magnetic resonance imaging patterns of tumor regression after neoadjuvant chemotherapy in breast cancer patients: correlation with pathological response grading system based on tumor cellularity.

Kim TH, Kang DK, Yim H, Jung YS, Kim KS, Kang SY.

J Comput Assist Tomogr. 2012 Mar-Apr;36(2):200-6. doi: 10.1097/RCT.0b013e318246abf3.

PMID:
22446360
17.
18.

Accuracy of clinical examination, digital mammogram, ultrasound, and MRI in determining postneoadjuvant pathologic tumor response in operable breast cancer patients.

Croshaw R, Shapiro-Wright H, Svensson E, Erb K, Julian T.

Ann Surg Oncol. 2011 Oct;18(11):3160-3. doi: 10.1245/s10434-011-1919-5. Epub 2011 Sep 27.

PMID:
21947594
19.

Surgical patterns of care in patients with invasive breast cancer treated with neoadjuvant systemic therapy and breast magnetic resonance imaging: results of a secondary analysis of TBCRC 017.

McGuire KP, Hwang ES, Cantor A, Golshan M, Meric-Bernstam F, Horton JK, Nanda R, Amos KD, Forero A, Hudis CA, Meszoely I, De Los Santos JF.

Ann Surg Oncol. 2015 Jan;22(1):75-81. doi: 10.1245/s10434-014-3948-3. Epub 2014 Jul 25.

20.

Evaluation of neoadjuvant chemotherapeutic response of locally advanced breast cancer by magnetic resonance imaging.

Abraham DC, Jones RC, Jones SE, Cheek JH, Peters GN, Knox SM, Grant MD, Hampe DW, Savino DA, Harms SE.

Cancer. 1996 Jul 1;78(1):91-100.

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