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Items: 14

1.

E-cigarette Use Is Associated with Non-prescribed Medication Use in Adults: Results from the PATH Survey.

Bentivegna K, Atuegwu NC, Oncken C, Mead EL, Perez MF, Mortensen EM.

J Gen Intern Med. 2019 Jun 12. doi: 10.1007/s11606-019-05093-5. [Epub ahead of print] No abstract available.

PMID:
31190256
2.

Association between Regular Electronic Nicotine Product Use and Self-reported Periodontal Disease Status: Population Assessment of Tobacco and Health Survey.

Atuegwu NC, Perez MF, Oncken C, Thacker S, Mead EL, Mortensen EM.

Int J Environ Res Public Health. 2019 Apr 9;16(7). pii: E1263. doi: 10.3390/ijerph16071263.

3.

Impact of Cirrhosis on Pneumonia-Related Outcomes in Hospitalized Older Veterans.

Boivin Z, Perez MF, Atuegwu NC, Anzueto A, Mortensen EM.

Am J Med Sci. 2019 Apr;357(4):296-301. doi: 10.1016/j.amjms.2019.01.004. Epub 2019 Jan 11.

PMID:
30904044
4.

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.

Med Phys. 2014 May;41(5):052302. doi: 10.1118/1.4870966.

5.

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.

Transl Oncol. 2013 Jun 1;6(3):256-64. Print 2013 Jun.

6.

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.

Sci Transl Med. 2013 May 29;5(187):187ps9. doi: 10.1126/scitranslmed.3005686.

7.

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.

Magn Reson Med. 2014 Apr;71(4):1592-602. doi: 10.1002/mrm.24782. Epub 2013 May 9.

8.

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.

Magn Reson Imaging. 2012 Nov;30(9):1342-56. doi: 10.1016/j.mri.2012.06.001. Epub 2012 Jul 15. Review. Erratum in: Magn Reson Imaging. 2013 Jun;31(5):796. Garcia-Izquierdo, David [corrected to Izquierdo-Garcia, David].

9.

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.

Phys Med Biol. 2012 Jan 7;57(1):225-40. doi: 10.1088/0031-9155/57/1/225.

10.

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.

Magn Reson Med. 2011 Dec;66(6):1689-96. doi: 10.1002/mrm.23203. Epub 2011 Sep 28.

11.

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

Yankeelov TE, Atuegwu NC, Deane NG, Gore JC.

Integr Biol (Camb). 2010 Aug;2(7-8):338-45. doi: 10.1039/b921497f. Epub 2010 Jul 2. Review.

12.

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

Atuegwu NC, Gore JC, Yankeelov TE.

Phys Med Biol. 2010 May 7;55(9):2429-49. doi: 10.1088/0031-9155/55/9/001. Epub 2010 Apr 6.

13.

Volumetric characterization of the Aurora magnetic tracker system for image-guided transorbital endoscopic procedures.

Atuegwu NC, Galloway RL.

Phys Med Biol. 2008 Aug 21;53(16):4355-68. doi: 10.1088/0031-9155/53/16/009. Epub 2008 Jul 25.

PMID:
18660560
14.

Transorbital endoscopic image guidance.

Atuegwu NC, Mawn L, Galloway R.

Conf Proc IEEE Eng Med Biol Soc. 2007;2007:4663-6.

PMID:
18003046

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