Sjøbakk TE - Search Results

1

Impacts of MR spectroscopic imaging on glioma patient management.

Chronaiou I, Stensjøen AL, Sjøbakk TE, Esmaeili M, Bathen TF. Chronaiou I, et al. Among authors: sjobakk te. Acta Oncol. 2014 May;53(5):580-9. doi: 10.3109/0284186X.2014.891046. Epub 2014 Mar 16. Acta Oncol. 2014. PMID: 24628262 Review.

2

Magnetic resonance metabolomics of intact tissue: a biotechnological tool in cancer diagnostics and treatment evaluation.

Bathen TF, Sitter B, Sjøbakk TE, Tessem MB, Gribbestad IS. Bathen TF, et al. Among authors: sjobakk te. Cancer Res. 2010 Sep 1;70(17):6692-6. doi: 10.1158/0008-5472.CAN-10-0437. Epub 2010 Aug 10. Cancer Res. 2010. PMID: 20699363 Review.

3

In vivo MR spectroscopy predicts high tumor grade in endometrial cancer.

Ytre-Hauge S, Esmaeili M, Sjøbakk TE, Grüner R, Woie K, Werner HM, Krakstad C, Bjørge L, Salvesen ØO, Stefansson IM, Trovik J, Bathen TF, Haldorsen IS. Ytre-Hauge S, et al. Among authors: sjobakk te. Acta Radiol. 2018 Apr;59(4):497-505. doi: 10.1177/0284185117733297. Epub 2017 Sep 19. Acta Radiol. 2018. PMID: 28927296

4

Differentiating diffuse World Health Organization grade II and IV astrocytomas with ex vivo magnetic resonance spectroscopy.

Vettukattil R, Gulati M, Sjøbakk TE, Jakola AS, Kvernmo NA, Torp SH, Bathen TF, Gulati S, Gribbestad IS. Vettukattil R, et al. Among authors: sjobakk te. Neurosurgery. 2013 Feb;72(2):186-95; discussion 195. doi: 10.1227/NEU.0b013e31827b9c57. Neurosurgery. 2013. PMID: 23147779

5

Metabolic profiles of brain metastases.

Sjøbakk TE, Vettukattil R, Gulati M, Gulati S, Lundgren S, Gribbestad IS, Torp SH, Bathen TF. Sjøbakk TE, et al. Int J Mol Sci. 2013 Jan 22;14(1):2104-18. doi: 10.3390/ijms14012104. Int J Mol Sci. 2013. PMID: 23340650 Free PMC article.

6

Diffusion weighted imaging for the differentiation of breast tumors: From apparent diffusion coefficient to high order diffusion tensor imaging.

Teruel JR, Goa PE, Sjøbakk TE, Østlie A, Fjøsne HE, Bathen TF. Teruel JR, et al. Among authors: sjobakk te. J Magn Reson Imaging. 2016 May;43(5):1111-21. doi: 10.1002/jmri.25067. Epub 2015 Oct 22. J Magn Reson Imaging. 2016. PMID: 26494124

7

A Simplified Approach to Measure the Effect of the Microvasculature in Diffusion-weighted MR Imaging Applied to Breast Tumors: Preliminary Results.

Teruel JR, Goa PE, Sjøbakk TE, Østlie A, Fjøsne HE, Bathen TF. Teruel JR, et al. Among authors: sjobakk te. Radiology. 2016 Nov;281(2):373-381. doi: 10.1148/radiol.2016151630. Epub 2016 Apr 29. Radiology. 2016. PMID: 27128662

8

Semi-automatic segmentation from intrinsically-registered 18F-FDG-PET/MRI for treatment response assessment in a breast cancer cohort: comparison to manual DCE-MRI.

Andreassen MMS, Goa PE, Sjøbakk TE, Hedayati R, Eikesdal HP, Deng C, Østlie A, Lundgren S, Bathen TF, Jerome NP. Andreassen MMS, et al. Among authors: sjobakk te. MAGMA. 2020 Apr;33(2):317-328. doi: 10.1007/s10334-019-00778-8. Epub 2019 Sep 27. MAGMA. 2020. PMID: 31562584 Free PMC article.

9

Characterization of brain metastases using high-resolution magic angle spinning MRS.

Sjøbakk TE, Johansen R, Bathen TF, Sonnewald U, Juul R, Torp SH, Lundgren S, Gribbestad IS. Sjøbakk TE, et al. NMR Biomed. 2008 Feb;21(2):175-85. doi: 10.1002/nbm.1180. NMR Biomed. 2008. PMID: 17542042

10

Metabolic profiling of human brain metastases using in vivo proton MR spectroscopy at 3T.

Sjøbakk TE, Johansen R, Bathen TF, Sonnewald U, Kvistad KA, Lundgren S, Gribbestad IS. Sjøbakk TE, et al. BMC Cancer. 2007 Jul 27;7:141. doi: 10.1186/1471-2407-7-141. BMC Cancer. 2007. PMID: 17662122 Free PMC article.

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