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Prediction of Mild Cognitive Impairment Conversion Using a Combination of Independent Component Analysis and the Cox Model.

Liu K, Chen K, Yao L, Guo X.

Front Hum Neurosci. 2017 Feb 6;11:33. doi: 10.3389/fnhum.2017.00033. eCollection 2017.


Effect of MR Imaging Contrast Thresholds on Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes: A Subgroup Analysis of the ACRIN 6657/I-SPY 1 TRIAL.

Li W, Arasu V, Newitt DC, Jones EF, Wilmes L, Gibbs J, Kornak J, Joe BN, Esserman LJ, Hylton NM; ACRIN 6657 Trial Team and I-SPY Investigators Network.

Tomography. 2016 Dec;2(4):378-387. doi: 10.18383/j.tom.2016.00247.


Neoadjuvant chemotherapy in breast cancers.

Masood S.

Womens Health (Lond). 2016 Sep;12(5):480-491. Review.


Voxelwise analysis of simultaneously acquired and spatially correlated 18 F-fluorodeoxyglucose (FDG)-PET and intravoxel incoherent motion metrics in breast cancer.

Ostenson J, Pujara AC, Mikheev A, Moy L, Kim SG, Melsaether AN, Jhaveri K, Adams S, Faul D, Glielmi C, Geppert C, Feiweier T, Jackson K, Cho GY, Boada FE, Sigmund EE.

Magn Reson Med. 2016 Oct 25. doi: 10.1002/mrm.26505. [Epub ahead of print]


Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer.

Minarikova L, Bogner W, Pinker K, Valkovič L, Zaric O, Bago-Horvath Z, Bartsch R, Helbich TH, Trattnig S, Gruber S.

Eur Radiol. 2017 May;27(5):1901-1911. doi: 10.1007/s00330-016-4565-2. Epub 2016 Sep 20.


Survival is associated with complete response on MRI after neoadjuvant chemotherapy in ER-positive HER2-negative breast cancer.

Loo CE, Rigter LS, Pengel KE, Wesseling J, Rodenhuis S, Peeters MJ, Sikorska K, Gilhuijs KG.

Breast Cancer Res. 2016 Aug 5;18(1):82. doi: 10.1186/s13058-016-0742-0.


Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes.

Lo WC, Li W, Jones EF, Newitt DC, Kornak J, Wilmes LJ, Esserman LJ, Hylton NM.

PLoS One. 2016 Feb 17;11(2):e0142047. doi: 10.1371/journal.pone.0142047. eCollection 2016.


Quantification of Ultrasonic Scattering Properties of In Vivo Tumor Cell Death in Mouse Models of Breast Cancer.

Tadayyon H, Sannachi L, Sadeghi-Naini A, Al-Mahrouki A, Tran WT, Kolios MC, Czarnota GJ.

Transl Oncol. 2015 Dec;8(6):463-73. doi: 10.1016/j.tranon.2015.11.001.


Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival-Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL.

Hylton NM, Gatsonis CA, Rosen MA, Lehman CD, Newitt DC, Partridge SC, Bernreuter WK, Pisano ED, Morris EA, Weatherall PT, Polin SM, Newstead GM, Marques HS, Esserman LJ, Schnall MD; ACRIN 6657 Trial Team and I-SPY 1 TRIAL Investigators.

Radiology. 2016 Apr;279(1):44-55. doi: 10.1148/radiol.2015150013. Epub 2015 Dec 1.


Multiparametric and Multimodality Functional Radiological Imaging for Breast Cancer Diagnosis and Early Treatment Response Assessment.

Jacobs MA, Wolff AC, Macura KJ, Stearns V, Ouwerkerk R, El Khouli R, Bluemke DA, Wahl R.

J Natl Cancer Inst Monogr. 2015 May;2015(51):40-6. doi: 10.1093/jncimonographs/lgv014.


Computer-aided detection (CAD) system for breast MRI in assessment of local tumor extent, nodal status, and multifocality of invasive breast cancers: preliminary study.

Song SE, Seo BK, Cho KR, Woo OH, Son GS, Kim C, Cho SB, Kwon SS.

Cancer Imaging. 2015 Feb 8;15:1. doi: 10.1186/s40644-015-0036-2.


Dedicated Breast CT: Feasibility for Monitoring Neoadjuvant Chemotherapy Treatment.

Vedantham S, O'Connell AM, Shi L, Karellas A, Huston AJ, Skinner KA.

J Clin Imaging Sci. 2014 Nov 29;4:64. doi: 10.4103/2156-7514.145867. eCollection 2014.


Prediction of pathological complete response of breast cancer patients undergoing neoadjuvant chemotherapy: usefulness of breast MRI computer-aided detection.

Kim H, Kim HH, Park JS, Shin HJ, Cha JH, Chae EY, Choi WJ.

Br J Radiol. 2014 Nov;87(1043):20140142. doi: 10.1259/bjr.20140142. Epub 2014 Aug 27.


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.


Monitoring of tumor response to Cisplatin using optical spectroscopy.

Spliethoff JW, Evers DJ, Jaspers JE, Hendriks BH, Rottenberg S, Ruers TJ.

Transl Oncol. 2014 Apr;7(2):230-9. doi: 10.1016/j.tranon.2014.02.009. Epub 2014 Mar 4.


Optimized breast MRI functional tumor volume as a biomarker of recurrence-free survival following neoadjuvant chemotherapy.

Jafri NF, Newitt DC, Kornak J, Esserman LJ, Joe BN, Hylton NM.

J Magn Reson Imaging. 2014 Aug;40(2):476-82. doi: 10.1002/jmri.24351. Epub 2013 Dec 18.


Preoperative MRI improves prediction of extensive occult axillary lymph node metastases in breast cancer patients with a positive sentinel lymph node biopsy.

Loiselle C, Eby PR, Kim JN, Calhoun KE, Allison KH, Gadi VK, Peacock S, Storer BE, Mankoff DA, Partridge SC, Lehman CD.

Acad Radiol. 2014 Jan;21(1):92-8. doi: 10.1016/j.acra.2013.10.001.


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. doi: 10.1016/j.mri.2013.07.002. Epub 2013 Aug 15.


Analysis of the correlation between endorectal MRI response to neoadjuvant chemotherapy and biochemical recurrence in patients with high-risk localized prostate cancer.

Galsky MD, Xie W, Nakabayashi M, Ross RW, Fennessy FM, Tempany CM, Choueiri TK, Khine K, Kantoff PW, Taplin ME, Oh WK.

Prostate Cancer Prostatic Dis. 2013 Sep;16(3):266-70. doi: 10.1038/pcan.2013.15. Epub 2013 May 28.

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