 Connection
Natalie Serkova to Magnetic Resonance Imaging
This is a "connection" page, showing publications Natalie Serkova has written about Magnetic Resonance Imaging.
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1.927 |
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Serkova NJ, Davis DM, Steiner J, Agarwal R. Quantitative NMR-Based Metabolomics on Tissue Biomarkers and Its Translation into In Vivo Magnetic Resonance Spectroscopy. Methods Mol Biol. 2019; 1978:369-387.
Score: 0.303
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Frey L, Lepkin A, Schickedanz A, Huber K, Brown MS, Serkova N. ADC mapping and T1-weighted signal changes on post-injury MRI predict seizure susceptibility after experimental traumatic brain injury. Neurol Res. 2014 Jan; 36(1):26-37.
Score: 0.213
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Thurman JM, Serkova NJ. Nanosized contrast agents to noninvasively detect kidney inflammation by magnetic resonance imaging. Adv Chronic Kidney Dis. 2013 Nov; 20(6):488-99.
Score: 0.212
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Serkova NJ, Renner B, Larsen BA, Stoldt CR, Hasebroock KM, Bradshaw-Pierce EL, Holers VM, Thurman JM. Renal inflammation: targeted iron oxide nanoparticles for molecular MR imaging in mice. Radiology. 2010 May; 255(2):517-26.
Score: 0.165
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Hasebroock KM, Serkova NJ. Toxicity of MRI and CT contrast agents. Expert Opin Drug Metab Toxicol. 2009 Apr; 5(4):403-16.
Score: 0.154
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Serkova NJ, Van Rheen Z, Tobias M, Pitzer JE, Wilkinson JE, Stringer KA. Utility of magnetic resonance imaging and nuclear magnetic resonance-based metabolomics for quantification of inflammatory lung injury. Am J Physiol Lung Cell Mol Physiol. 2008 Jul; 295(1):L152-61.
Score: 0.144
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Serkova NJ, Spratlin JL, Eckhardt SG. NMR-based metabolomics: translational application and treatment of cancer. Curr Opin Mol Ther. 2007 Dec; 9(6):572-85.
Score: 0.140
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Serkova NJ, Glunde K, Haney CR, Farhoud M, De Lille A, Redente EF, Simberg D, Westerly DC, Griffin L, Mason RP. Preclinical Applications of Multi-Platform Imaging in Animal Models of Cancer. Cancer Res. 2021 03 01; 81(5):1189-1200.
Score: 0.086
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Keenan KE, Biller JR, Delfino JG, Boss MA, Does MD, Evelhoch JL, Griswold MA, Gunter JL, Hinks RS, Hoffman SW, Kim G, Lattanzi R, Li X, Marinelli L, Metzger GJ, Mukherjee P, Nordstrom RJ, Peskin AP, Perez E, Russek SE, Sahiner B, Serkova N, Shukla-Dave A, Steckner M, Stupic KF, Wilmes LJ, Wu HH, Zhang H, Jackson EF, Sullivan DC. Recommendations towards standards for quantitative MRI (qMRI) and outstanding needs. J Magn Reson Imaging. 2019 Jun; 49(7):e26-e39.
Score: 0.076
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Fredrickson J, Serkova NJ, Wyatt SK, Carano RA, Pirzkall A, Rhee I, Rosen LS, Bessudo A, Weekes C, de Crespigny A. Clinical translation of ferumoxytol-based vessel size imaging (VSI): Feasibility in a phase I oncology clinical trial population. Magn Reson Med. 2017 02; 77(2):814-825.
Score: 0.062
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Raina K, Ravichandran K, Rajamanickam S, Huber KM, Serkova NJ, Agarwal R. Inositol hexaphosphate inhibits tumor growth, vascularity, and metabolism in TRAMP mice: a multiparametric magnetic resonance study. Cancer Prev Res (Phila). 2013 Jan; 6(1):40-50.
Score: 0.050
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Serkova NJ, Brown MS. Quantitative analysis in magnetic resonance spectroscopy: from metabolic profiling to in vivo biomarkers. Bioanalysis. 2012 Feb; 4(3):321-41.
Score: 0.047
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Sargsyan SA, Serkova NJ, Renner B, Hasebroock KM, Larsen B, Stoldt C, McFann K, Pickering MC, Thurman JM. Detection of glomerular complement C3 fragments by magnetic resonance imaging in murine lupus nephritis. Kidney Int. 2012 Jan; 81(2):152-9.
Score: 0.046
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Serkova NJ. Imaging biochemistry noninvasively: magnetic resonance spectroscopy in liver disease. JPEN J Parenter Enteral Nutr. 2009 Nov-Dec; 33(6):726-8.
Score: 0.040
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Serkova NJ, Garg K, Bradshaw-Pierce EL. Oncologic imaging end-points for the assessment of therapy response. Recent Pat Anticancer Drug Discov. 2009 Jan; 4(1):36-53.
Score: 0.038
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Serkova NJ, Hasebroock KM, Kraft SL. Magnetic resonance spectroscopy of living tissues. Methods Mol Biol. 2009; 520:315-27.
Score: 0.038
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Serkova N, Klawitter J, Niemann CU. Organ-specific response to inhibition of mitochondrial metabolism by cyclosporine in the rat. Transpl Int. 2003 Oct; 16(10):748-55.
Score: 0.026
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Scott AJ, Arcaroli JJ, Bagby SM, Yahn R, Huber KM, Serkova NJ, Nguyen A, Kim J, Thorburn A, Vogel J, Quackenbush KS, Capasso A, Schreiber A, Blatchford P, Klauck PJ, Pitts TM, Eckhardt SG, Messersmith WA. Cabozantinib Exhibits Potent Antitumor Activity in Colorectal Cancer Patient-Derived Tumor Xenograft Models via Autophagy and Signaling Mechanisms. Mol Cancer Ther. 2018 10; 17(10):2112-2122.
Score: 0.018
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Marwan AI, Shabeka U, Reisz JA, Zheng C, Serkova NJ, Dobrinskikh E. Unique Heterogeneous Topological Pattern of the Metabolic Landscape in Rabbit Fetal Lungs following Tracheal Occlusion. Fetal Diagn Ther. 2019; 45(3):145-154.
Score: 0.018
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Yang X, La Rosa FG, Genova EE, Huber K, Schaack J, Degregori J, Serkova NJ, Li Y, Su LJ, Kessler E, Flaig TW. Simultaneous activation of Kras and inactivation of p53 induces soft tissue sarcoma and bladder urothelial hyperplasia. PLoS One. 2013; 8(9):e74809.
Score: 0.013
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Doctor RB, Serkova NJ, Hasebroock KM, Zafar I, Edelstein CL. Distinct patterns of kidney and liver cyst growth in pkd2(WS25/-) mice. Nephrol Dial Transplant. 2010 Nov; 25(11):3496-504.
Score: 0.010
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Spratlin JL, Cohen RB, Eadens M, Gore L, Camidge DR, Diab S, Leong S, O'Bryant C, Chow LQ, Serkova NJ, Meropol NJ, Lewis NL, Chiorean EG, Fox F, Youssoufian H, Rowinsky EK, Eckhardt SG. Phase I pharmacologic and biologic study of ramucirumab (IMC-1121B), a fully human immunoglobulin G1 monoclonal antibody targeting the vascular endothelial growth factor receptor-2. J Clin Oncol. 2010 Feb 10; 28(5):780-7.
Score: 0.010
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Frey LC, Hellier J, Unkart C, Lepkin A, Howard A, Hasebroock K, Serkova N, Liang L, Patel M, Soltesz I, Staley K. A novel apparatus for lateral fluid percussion injury in the rat. J Neurosci Methods. 2009 Mar 15; 177(2):267-72.
Score: 0.009
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Troiani T, Serkova NJ, Gustafson DL, Henthorn TK, Lockerbie O, Merz A, Long M, Morrow M, Ciardiello F, Eckhardt SG. Investigation of two dosing schedules of vandetanib (ZD6474), an inhibitor of vascular endothelial growth factor receptor and epidermal growth factor receptor signaling, in combination with irinotecan in a human colon cancer xenograft model. Clin Cancer Res. 2007 Nov 01; 13(21):6450-8.
Score: 0.009
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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