Sikavitsas V - Search Results

1

Numerical accuracy comparison of two boundary conditions commonly used to approximate shear stress distributions in tissue engineering scaffolds cultured under flow perfusion.

Kadri OE, Williams C 3rd, Sikavitsas V, Voronov RS. Kadri OE, et al. Among authors: sikavitsas v. Int J Numer Method Biomed Eng. 2018 Nov;34(11):e3132. doi: 10.1002/cnm.3132. Epub 2018 Aug 17. Int J Numer Method Biomed Eng. 2018. PMID: 30047248

2

Predicting the stress distribution within scaffolds with ordered architecture.

Pham NH, Voronov RS, Vangordon SB, Sikavitsas VI, Papavassiliou DV. Pham NH, et al. Among authors: sikavitsas vi. Biorheology. 2012;49(4):235-47. doi: 10.3233/BIR-2012-0613. Biorheology. 2012. PMID: 22836078

3

3D tissue-engineered construct analysis via conventional high-resolution microcomputed tomography without X-ray contrast.

Voronov RS, VanGordon SB, Shambaugh RL, Papavassiliou DV, Sikavitsas VI. Voronov RS, et al. Among authors: sikavitsas vi. Tissue Eng Part C Methods. 2013 May;19(5):327-35. doi: 10.1089/ten.TEC.2011.0612. Epub 2012 Nov 8. Tissue Eng Part C Methods. 2013. PMID: 23020551

4

Sensing metabolites for the monitoring of tissue engineered construct cellularity in perfusion bioreactors.

Simmons AD, Williams C 3rd, Degoix A, Sikavitsas VI. Simmons AD, et al. Biosens Bioelectron. 2017 Apr 15;90:443-449. doi: 10.1016/j.bios.2016.09.094. Epub 2016 Sep 30. Biosens Bioelectron. 2017. PMID: 27825527

5

Effects of Shear Stress Gradients on Ewing Sarcoma Cells Using 3D Printed Scaffolds and Flow Perfusion.

Trachtenberg JE, Santoro M, Williams C 3rd, Piard CM, Smith BT, Placone JK, Menegaz BA, Molina ER, Lamhamedi-Cherradi SE, Ludwig JA, Sikavitsas VI, Fisher JP, Mikos AG. Trachtenberg JE, et al. Among authors: sikavitsas vi. ACS Biomater Sci Eng. 2018 Feb 12;4(2):347-356. doi: 10.1021/acsbiomaterials.6b00641. Epub 2017 Feb 15. ACS Biomater Sci Eng. 2018. PMID: 33418729

6

Computational modeling of flow-induced shear stresses within 3D salt-leached porous scaffolds imaged via micro-CT.

Voronov R, Vangordon S, Sikavitsas VI, Papavassiliou DV. Voronov R, et al. Among authors: sikavitsas vi. J Biomech. 2010 May 7;43(7):1279-86. doi: 10.1016/j.jbiomech.2010.01.007. Epub 2010 Feb 24. J Biomech. 2010. PMID: 20185132

7

Flow perfusion improves seeding of tissue engineering scaffolds with different architectures.

Alvarez-Barreto JF, Linehan SM, Shambaugh RL, Sikavitsas VI. Alvarez-Barreto JF, et al. Ann Biomed Eng. 2007 Mar;35(3):429-42. doi: 10.1007/s10439-006-9244-z. Epub 2007 Jan 10. Ann Biomed Eng. 2007. PMID: 17216348

8

Monitoring Bone Tissue Engineered (BTE) Constructs Based on the Shifting Metabolism of Differentiating Stem Cells.

Simmons AD, Sikavitsas VI. Simmons AD, et al. Among authors: sikavitsas vi. Ann Biomed Eng. 2018 Jan;46(1):37-47. doi: 10.1007/s10439-017-1937-y. Epub 2017 Oct 11. Ann Biomed Eng. 2018. PMID: 29022110

9

Dynamic in vitro models for tumor tissue engineering.

Karami D, Richbourg N, Sikavitsas V. Karami D, et al. Among authors: sikavitsas v. Cancer Lett. 2019 May 1;449:178-185. doi: 10.1016/j.canlet.2019.01.043. Epub 2019 Feb 11. Cancer Lett. 2019. PMID: 30763717 Review.

10

Long-term in vivo effect of PEG bone tissue engineering scaffolds.

Engebretson B, Sikavitsas VI. Engebretson B, et al. J Long Term Eff Med Implants. 2012;22(3):211-8. doi: 10.1615/jlongtermeffmedimplants.2013006244. J Long Term Eff Med Implants. 2012. PMID: 23582112 Review.

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