Atuegwu NC - Search Results

1

Simultaneous PET-MRI in oncology: a solution looking for a problem?

Yankeelov TE, Peterson TE, Abramson RG, Izquierdo-Garcia D, Arlinghaus LR, Li X, Atuegwu NC, Catana C, Manning HC, Fayad ZA, Gore JC. Yankeelov TE, et al. Among authors: atuegwu nc. Magn Reson Imaging. 2012 Nov;30(9):1342-56. doi: 10.1016/j.mri.2012.06.001. Epub 2012 Jul 15. Magn Reson Imaging. 2012. PMID: 22795930 Free PMC article. Review.

2

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.

3

The integration of quantitative multi-modality imaging data into mathematical models of tumors.

Atuegwu NC, Gore JC, Yankeelov TE. Atuegwu NC, et al. Phys Med Biol. 2010 May 7;55(9):2429-49. doi: 10.1088/0031-9155/55/9/001. Epub 2010 Apr 6. Phys Med Biol. 2010. PMID: 20371913 Free PMC article.

4

Modeling tumor growth and treatment response based on quantitative imaging data.

Yankeelov TE, Atuegwu NC, Deane NG, Gore JC. Yankeelov TE, et al. Among authors: atuegwu nc. Integr Biol (Camb). 2010 Aug;2(7-8):338-45. doi: 10.1039/b921497f. Epub 2010 Jul 2. Integr Biol (Camb). 2010. PMID: 20596581 Free PMC article. Review.

5

Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy.

Atuegwu NC, Arlinghaus LR, Li X, Welch EB, Chakravarthy BA, Gore JC, Yankeelov TE. Atuegwu NC, et al. Magn Reson Med. 2011 Dec;66(6):1689-96. doi: 10.1002/mrm.23203. Epub 2011 Sep 28. Magn Reson Med. 2011. PMID: 21956404 Free PMC article. Clinical Trial.

6

Longitudinal, intermodality registration of quantitative breast PET and MRI data acquired before and during neoadjuvant chemotherapy: preliminary results.

Atuegwu NC, Li X, Arlinghaus LR, Abramson RG, Williams JM, Chakravarthy AB, Abramson VG, Yankeelov TE. Atuegwu NC, et al. Med Phys. 2014 May;41(5):052302. doi: 10.1118/1.4870966. Med Phys. 2014. PMID: 24784395 Free PMC article.

7

Clinically relevant modeling of tumor growth and treatment response.

Yankeelov TE, Atuegwu N, Hormuth D, Weis JA, Barnes SL, Miga MI, Rericha EC, Quaranta V. Yankeelov TE, et al. Sci Transl Med. 2013 May 29;5(187):187ps9. doi: 10.1126/scitranslmed.3005686. Sci Transl Med. 2013. PMID: 23720579 Free PMC article.

8

Incorporation of diffusion-weighted magnetic resonance imaging data into a simple mathematical model of tumor growth.

Atuegwu NC, Colvin DC, Loveless ME, Xu L, Gore JC, Yankeelov TE. Atuegwu NC, et al. Phys Med Biol. 2012 Jan 7;57(1):225-40. doi: 10.1088/0031-9155/57/1/225. Phys Med Biol. 2012. PMID: 22156038 Free PMC article.

9

Parameterizing the Logistic Model of Tumor Growth by DW-MRI and DCE-MRI Data to Predict Treatment Response and Changes in Breast Cancer Cellularity during Neoadjuvant Chemotherapy.

Atuegwu NC, Arlinghaus LR, Li X, Chakravarthy AB, Abramson VG, Sanders ME, Yankeelov TE. Atuegwu NC, et al. Transl Oncol. 2013 Jun 1;6(3):256-64. doi: 10.1593/tlo.13130. Print 2013 Jun. Transl Oncol. 2013. PMID: 23730404 Free PMC article.

10

Transorbital endoscopic image guidance.

Atuegwu NC, Mawn L, Galloway R. Atuegwu NC, et al. Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:4663-6. doi: 10.1109/IEMBS.2007.4353380. Annu Int Conf IEEE Eng Med Biol Soc. 2007. PMID: 18003046

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