1U01CA142565/CA/NCI NIH HHS/United States[Grants and Funding] - Search Results

Year	Number of Results
2011	5
2012	2
2013	7
2014	2
2015	4
2024	0

1

Toward a science of tumor forecasting for clinical oncology.

Yankeelov TE, Quaranta V, Evans KJ, Rericha EC. Yankeelov TE, et al. Cancer Res. 2015 Mar 15;75(6):918-23. doi: 10.1158/0008-5472.CAN-14-2233. Epub 2015 Jan 15. Cancer Res. 2015. PMID: 25592148 Free PMC article. Review.

2

The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer.

Yankeelov TE, Arlinghaus LR, Li X, Gore JC. Yankeelov TE, et al. Semin Oncol. 2011 Feb;38(1):16-25. doi: 10.1053/j.seminoncol.2010.11.007. Semin Oncol. 2011. PMID: 21362513 Free PMC article. Review.

3

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. Mani S, et al. J Am Med Inform Assoc. 2013 Jul-Aug;20(4):688-95. doi: 10.1136/amiajnl-2012-001332. Epub 2013 Apr 24. J Am Med Inform Assoc. 2013. PMID: 23616206 Free PMC article.

4

Detection of microcalcifications by characteristic magnetic susceptibility effects using MR phase image cross-correlation analysis.

Baheza RA, Welch EB, Gochberg DF, Sanders M, Harvey S, Gore JC, Yankeelov TE. Baheza RA, et al. Med Phys. 2015 Mar;42(3):1436-52. doi: 10.1118/1.4908009. Med Phys. 2015. PMID: 25735297 Free PMC article.

5

Sequence design and evaluation of the reproducibility of water-selective diffusion-weighted imaging of the breast at 3 T.

Zhu H, Arlinghaus LR, Whisenant JG, Li M, Gore JC, Yankeelov TE. Zhu H, et al. NMR Biomed. 2014 Sep;27(9):1030-6. doi: 10.1002/nbm.3146. Epub 2014 Jul 1. NMR Biomed. 2014. PMID: 24986756 Free PMC article.

6

Quantitative effects of using compressed sensing in dynamic contrast enhanced MRI.

Smith DS, Welch EB, Li X, Arlinghaus LR, Loveless ME, Koyama T, Gore JC, Yankeelov TE. Smith DS, et al. Phys Med Biol. 2011 Aug 7;56(15):4933-46. doi: 10.1088/0031-9155/56/15/018. Epub 2011 Jul 19. Phys Med Biol. 2011. PMID: 21772079 Free PMC article.

7

Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model.

Weis JA, Miga MI, Arlinghaus LR, Li X, Abramson V, Chakravarthy AB, Pendyala P, Yankeelov TE. Weis JA, et al. Cancer Res. 2015 Nov 15;75(22):4697-707. doi: 10.1158/0008-5472.CAN-14-2945. Epub 2015 Sep 2. Cancer Res. 2015. PMID: 26333809 Free PMC article.

8

Statistical comparison of dynamic contrast-enhanced MRI pharmacokinetic models in human breast cancer.

Li X, Welch EB, Chakravarthy AB, Xu L, Arlinghaus LR, Farley J, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Abramson VG, Grau AM, Gore JC, Yankeelov TE. Li X, et al. Magn Reson Med. 2012 Jul;68(1):261-71. doi: 10.1002/mrm.23205. Epub 2011 Nov 29. Magn Reson Med. 2012. PMID: 22127821 Free PMC article.

9

DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings.

Li X, Arlinghaus LR, Ayers GD, Chakravarthy AB, Abramson RG, Abramson VG, Atuegwu N, Farley J, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Grau AM, Sanders M, Bhave SR, Yankeelov TE. Li X, et al. Magn Reson Med. 2014 Apr;71(4):1592-602. doi: 10.1002/mrm.24782. Epub 2013 May 9. Magn Reson Med. 2014. PMID: 23661583 Free PMC article. Clinical Trial.

10

Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.

Li X, Abramson RG, Arlinghaus LR, Kang H, Chakravarthy AB, Abramson VG, Farley J, Mayer IA, Kelley MC, Meszoely IM, Means-Powell J, Grau AM, Sanders M, Yankeelov TE. Li X, et al. Invest Radiol. 2015 Apr;50(4):195-204. doi: 10.1097/RLI.0000000000000100. Invest Radiol. 2015. PMID: 25360603 Free PMC article.

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