Theses
K. R. Swanson. Turing Model of Pattern Formation with Periodic Conditions, Undergraduate Honors Thesis, Tulane University, 1996
Books
Book Chapters–Peer Reviewed
K. R. Swanson: Clinical Application of a Mathematical Model for Glioma Growth and Invasion. In: Mathematical Modelling and Computing in Biology and Medicine, V. Capasso (ed.), Milan Research Center for Industrial and Applied Mathematics, Progetto Leonardo, pp. 629-636, 2003A.
M. Spence, D. A. Mankoff, M. Muzi, K. R. Swanson: Nuclear Imaging of Gliomas. in Barnett GH, ed. High-Grade Gliomas: Diagnosis and Treatment, Humana Press Inc, Totowa, NJ, 2005R.
Rockne, E. C. Alvord Jr., M. Szeto, S. Gu, G. Chakraborty, K. R. Swanson KR: Modeling Diffusely Invading Brain Tumors: An Individualized Approach to Quantifying Glioma Evolution and Response to Therapy. In: Selected Topics in Cancer Modeling: Genesis, Evolution, Immune Competition, and Therapy. Ed. Bellomo N, Chaplain M, de Angelis E. Birkhauser, Boston MA. 2008 ISBN 13978-0817647124G.
Chakraborty, R. Sodt, S. Massey, S. Gu, R. Rockne, E.C. Alvord, Jr., and K.R. Swanson: Bridging from Multiscale Modeling to Practical Clinical Applications in the Study of Human Gliomas. In: Multiscale Cancer Modeling. Editors: T.S.Deisboeck, Massachusetts General Hospital and Harvard Medical School, Boston, USA, G. Stamatakos, Institute of Communication and Computer Systems, National Technical University of Athens, Greece. 2010 ISBN 9781439814406
Articles–Peer Reviewed
K. R. Swanson, E. C. Alvord Jr., J. D. Murray: A Quantitative Model for Differential Motility of Gliomas in Grey and White Matter. Cell Proliferation, 2000, 33: 317-329. Pubmed ID:11063134 PDF
K. R. Swanson, J.D. Murray, D. Lin, L. D. True, K. Buhler, R. Vessella: A quantitative model for the dynamics of serum prostate-specific antigen as a marker for cancerous growth: an explanation for a medical anomaly. American Journal of Pathology, 158(6): 2195-9, 2001. Pubmed ID: 11395397 PDF
K. R. Swanson, E. C. Alvord Jr., J. D. Murray: Virtual Brain Tumors (Gliomas) Enhance the Reality of Medical Imaging and Highlights Inadequacies of Current Therapy. British Journal of Cancer, 86:14-18, 2002 [Selected to be featured in the 2003 Yearbook of Oncology, Elsevier Science]. Article DOI: 10.1038/sj.bjc.6600021 PDF
J. M. Gottman, C. Swanson, K. R. Swanson: A General Systems Theory of Marriage: Nonlinear Difference Equation Modeling of Marital Interactions. Personality and Social Psychology Review, 6(4): 326-340, 2002. Article DOI: 10.1207/S15327957PSPR0604_07 PDF
K. R. Swanson, E. C. Alvord Jr., J. D. Murray: Quantifying Efficacy of Chemotherapy of Brain Tumors (Gliomas) with Homogeneous and Heterogeneous Drug Delivery. Acta Biotheoretica, 50(4): 223-237, 2002. Pubmed ID: 12675529 PDF
K. R. Swanson, L. D. True, J. D. Murray: On the use of quantitative modeling to help understand PSA dynamics and other medical problems. American Journal of Clinical Pathology, 119(1):14-7, 2003. Pubmed ID: 12520692 PDF
E. Mandonnet, J-Y Delattre, M-L Tanguy, K. R. Swanson, A. F. Carpentier, H. Duffau, P. Cornu, R. Van Effenterre, E. C. Alvord Jr., and L. Capelle: Continuous growth of mean tumor diameter in a subset of WHO grade II gliomas. Annals of Neurology, 53:524 – 528, 2003. Pubmed ID: 12666121 PDF
J. M. Gottman, R. Levenson, C. Swanson, K. R. Swanson, R. Tyson, D. Yoshimoto: Observing Gay, Lesbian and Heterosexual Couples’ Relationships: Mathematical Modeling of Conflict Interaction. Journal of Homosexuality, 45(1):65-91, 2003. Pubmed ID: 14567654 PDF
K. R. Swanson, E. C. Alvord Jr., J. D. Murray: Virtual Resection of Gliomas: Effect of Extent of Resection on Recurrence. Mathematical and Computer Modelling, 37(11):1177-1190, 2003 [Special Issue: “Modeling and Simulation of Tumor Development, Treatment, and Control”]
K. R. Swanson, C. Bridge, J. D. Murray, E. C. Alvord Jr.: Virtual and Real Brain Tumors: Using Mathematical Modeling to Quantify Glioma Growth and Invasion. Journal of the Neurological Sciences, 216(1):1-10, 2003. Pubmed ID: 14607296 PDF
J. Gottman, K. Ryan, K. R. Swanson, C. Swanson: Proximal change experiments with couples: a methodology for empirically building a science of effective interventions for changing couples’ interaction. Journal of Family Communication, 5(3):163-190 2005. DOI 10.1207/s15327698jfc0503_1 PDF
K. R. Swanson, E. C. Alvord Jr., J. D. Murray: Dynamics of a Model for Brain Tumors Reveals a Small Window for Therapeutic Intervention, Discrete and Continuous Dynamical Systems – Series B , 4(1):289—295, 2004 PDF
A. M. Spence, M. Muzi, D. A. Mankoff, S. Finbarr O’Sullivan, J. M. Link, T. K. Lewellen, B. Lewellen, P. Phan, S. Minoshima, K. R. Swanson, K. A. Krohn. FDG-PET Imaging of Gliomas at Delayed Intervals: Improved Distinction Between Tumor and Normal Gray Matter, Journal of Nuclear Medicine, 45: 1653-1659, 2004. Pubmed ID: 15471829 PDF
S. Palfi, K. R. Swanson, S. De Bouard, F. Chretien, R. Oliveira, C. Le Guerinel, J. M. Kros, M. Peschanski, R. Gherardi, C. Christov: Correlation of in vitro infiltration with glioma histological type in organotypic brain slices. British Journal of Cancer, 91, 745 – 752, 2004. Pubmed ID: 15292940 PDF
K. R. Swanson: Anatomic Determinants of Tumor Growth: Integrating Quantitative Modeling and Imaging. Proceedings of the American Society for Neuroradiology 2004
H. Hatzikirou, A. Deutsch, C. Schaller, M. Simon, K. R. Swanson: Mathematical Modelling of Glioblastoma Tumour Development: A Review. Mathematical Models and Methods in Applied Sciences, 15(11), 1779-1794, November 2005. Article DOI 10.1142/S0218202505000960 PDF
S. Jbabdi, E. Mandonnet, H. Duffau, L. Capelle, K. R. Swanson, M. Pelegrini-Issac, R. Guillevin, H. Benali: Simulation of anisotropic growth of low-grade gliomas using diffusion tensor imaging. Magnetic Resonance in Medicine, 54:616–624, 2005. Pubmed ID: 16088879 PDF
K. R. Swanson, H. L. P. Harpold, L. D. True: Prostate Specific Antigen: A Clinical and Mathematical Conundrum. American Journal of Clinical Pathology, 125 (3): 331-333, 2006. Pubmed ID: 16613335 PDF
H. L. P. Harpold, P. Vicini, K. R. Swanson: Kinetic Modeling of FLT-PET to Generate Parametric Maps of Proliferation. Journal of Undergraduate Research in Bioengineering, 6(1):49-68, 2006. JURIBE
H. L. P. Harpold, E. C. Alvord, Jr., K. R. Swanson: The evolution of mathematical modeling of glioma growth and invasion. Journal of Neuropathology and Experimental Neurology, 66(1):1-9, 2007. Pubmed ID: 17204931 PDF
Krohn KA, O’Sullivan F, Crowley J, Eary JF, Linden HM, Link JM, Mankoff DA, Muzi M, Rajendran JG, Spence AM, Swanson K.R. Challenges in clinical studies with multiple imaging probes.Nuclear Medicine Biology 34: 879-85, 2007. Pubmed ID: 17921038 PDF
K.R. Swanson, R.C. Rostomily and E.C. Alvord Jr: A mathematical tool for predicting survival of individual patients following resection of glioblastoma: a proof of principle. British Journal of Cancer 2007. Pubmed ID: 18059395 PDF
K. R. Swanson, R. Rostomily, E. C. Alvord, Jr.: Predicting Survival of Patients with Glioblastoma by Combining a Mathematical Model and Pre-operative MR imaging Characteristics: A Proof of Principle. British Journal of Cancer, 98, 113-9, 2008, doi:10.1038/sj.bjc.6604125 PDF
K.R. Swanson Quantifying glioma cell growth and invasion in vitro. Mathematical and Computer Modelling 47: 638-648, 2008 Article DOI: 10.1016/j.mcm.2007.02.024 PDF
K. R. Swanson, H. L. P. Harpold, D. L. Peacock, R. Rockne, C. Pennington, L. Kilbride, R. Grant, J. Wardlaw, E. C. Alvord, Jr. Velocity of Radial Expansion of Contrast-Enhancing Gliomas and Effectiveness of Radiotherapy in Individual Patients: A Proof of Principle. Clinical Oncology 20: 301-308, 2008. Pubmed ID: 18308523 PDF
A. M. Spence, M. Muzi, K. R. Swanson, F. O’Sullivan, J. K. Rockhill, J. G. Rajendran, T. C. H. Adamsen, J. M. Link, P. E. Swanson, K. J. Yagle, R. C. Rostomily, D. L. Silbergeld, K. A. Krohn. Regional Hypoxia in Glioblastoma Multiforme Quantified with Flouromisonidazole Positron Emission Tomography before Radiotherapy: Correlation with Time to Progression and Survival Clinical Cancer Research 14: 2623-2630, 2008. Pubmed ID: 18451225 PDF
R. Rockne, E. C. Alvord Jr., J. K. Rockhill, K. R. Swanson: A Mathematical Model for Brain Tumor Response to Radiation Therapy. Journal of Mathematical Biology, Special Issue on Computational Oncology 2008 Pubmed ID: 18815786 PDF
R. Rockne, E. C. Alvord Jr., P. Reed, K. R. Swanson: Modeling the growth and invasion of gliomas, from simple to complex: the Goldie Locks paradigm. BIOMAT 2007 International Symposium on Mathematical and Computational Biology. Ed. Mondaini R. 2008 World Scientific
P. Hinow, P. Gerlee, L. J. McCawley, V. Quaranta, M. Ciobanu, S. Wang, J. M. Graham, B. P. Ayati, J. Claridge, K. R. Swanson , M. Loveless, A. R. A. Anderson: A spatial model of tumor-host interaction: application of chemotherapy. Mathematical Biosciences and Engineering, Volume 6, Number 1 2009. ArXiv DOI: 0810.1024 PDF
K. R. Swanson, G. Chakraborty, C. H. Wang, R. Rockne, H. L. P. Harpold, M. Muzi, T. C. H. Anderson, K. A. Krohn, A. M. Spence: Complimentary but Distinct Roles for MRI and 18F-Fluoromisonidazole PET in the Assesment of Human Glioblastmoas. Journal of Nuclear Medicine, 50: 36-44 2009. Pubmed ID: 19091885
**Honored by the Journal of Nuclear Medicine for being one of the three best clinical investigations for 2009** PDF
M. D. Szeto, G. Chakraborty, J. Hadley, R. Rockne, M. Muzi, E. C. Alvord Jr., K. Krohn, A. M. Spence, K. R. Swanson: Quantitative Metrics of Net Proliferation and Invasion Link Biological Aggressiveness Assessed by MRI with Hypoxia Assessed by FMISO-PET in Newly Diagnosed Glioblastomas.Cancer Research 69(10):4502-9 2009 Pubmed ID: 19366800 PDF
C. Wang, J. K. Rockhill, M. Mrugala, D.L. Peacock, A. Lai, K. Jusenius, J. M. Wardlaw, T. Cloughesy, A. M. Spence, R. Rockne, E. C. Alvord Jr., K. R. Swanson: Prognostic significance of growth kinetics in newly diagnosed glioblastomas revealed by combining serial imaging with a novel biomathematical model. Cancer Research 69:23 9133-40 2009 Pubmed ID:19934335 PDF
M. Assefa, R. Rockne, M. Szeto, K. R. Swanson. Mathematical Modeling of Glioma Proliferation and Diffusion. Ethnicity and Disease,19:2, Supplement 3 Pubmed ID: 19554787 PDF
R. Rockne, J. K. Rockhill, M. Mrugala, A. M. Spence, I. Kalet, K. Hendrickson, A. Lai, T. Cloughesy, E. C. Alvord Jr, K. R. Swanson. Predicting the efficacy of radiotherapy in individual glioblastoma patients in vivo: a mathematical modeling approach. Physics in Medicine and Biology, 55(12). Article DOI: 10.1088/0031-9155/55/12/001
**Awarded Top 10 Best Publication in PMB for 2010;
Finalist for Roberts’ Prize from Institute of Physics and Engineering in Medicine** PDF
M. Assefa, R. Rockne, E. C. Alvord Jr., G. Chakraborty, K. R. Swanson A Bio-Mathematical Analysis of the Velocity of Glioma Growth Before and After Contrast-Enhancement. Ethnicity and Disease. In Press
L-E Bohman, K. R. Swanson, J. Moore, R. Rockne, C. Mandigo, T. Hankinson, M. Assanah, P. Canoll, J. N. Bruce. Preoperative MRI Characteristics of Glioblastoma Multiforme: Implications for Understanding Glioma Ontogeny. Neurosurgery, 67(5):1319-27, 2010 Pubmed ID: 20871424 PDF
D. Basanta, J. G. Scott, R. Rockne, K. R. Swanson, A. R. A. Anderson: The role of IDH1 mutated tumour cells in secondary glioblastomas: an evolutionary game theoretical view. Physical Biology, 8(1):, 2011 Pubmed ID: 21301070 PDF
S. Gu, G. Chakraborty, K. Champley, A. Alessio, J. Claridge, R. Rockne, M. Muzi, K. A. Krohn, A. M. Spence, E. C. Alvord Jr, A. R. A. Anderson, P. Kinahan, K. R. Swanson. Applying A Patient-Specific Bio-Mathematical Model of Glioma Growth to Develop Virtual [18F]-FMISO PET Images. Mathematics in Medicine and Biology;, 2011 Article DOI: 10.1093/imammb/dqr002 PDF
Swanson KR, Rockne RC, Claridge J, Chaplain MA, Alvord EC Jr, Anderson AR. Quantifying the role of angiogenesis in malignant progression of gliomas: In silico modeling integrates imaging and histology. Cancer Research;, 2011 Pubmed ID: 21900399
S. C. Massey, M. C. Assanah, K. A. Lopez, P. Canoll, K. R. Swanson. Progenitor cell recruitment drives aggressive glioma growth: mathematical and experimental modeling. [Published online ahead of print 7 Feb 2012.] Journal of the Royal Society Interface, 2012. PDF
Letters to the Editor
Published Abstracts
K. R. Swanson, E. C. Alvord Jr., J. D. Murray. “Mathematical Modeling of the Growth and Control of Gliomas,” Gordon Conference on Theoretical Biology and Biomathematics, June 1998
K. R. Swanson, E. C. Alvord Jr., J. D. Murray. “Modeling the Growth and Diffusion of Gliomas on Anatomically Accurate Domains,” Year in Mathematical Biology Pattern Formation Workshops, Institute for Mathematics and It’s Application (Minneapolis), October 1998
K. R. Swanson, E. C. Alvord Jr., J. D. Murray. “Predicting In Vitro Behavior of Brain Tumor Growth and Invasion,” Theory and Mathematics in Biology and Medicine (Amsterdam), June 1999
K. R. Swanson, J. M. McCune, S. M. Blower. “Quantifying the Contribution of the Thymus in T-Cell Reconstitution,” STIs at the Millennium: Past, Present and Future (Baltimore), May 2000
K. R. Swanson, E. C. Alvord Jr.. “Correlations of a 3D Quantitative Model for Brain Tumor Growth and Invasion with Clinical Behavior,” Cancer Modeling Workshop (Corsica), June 2000
K. R. Swanson, E. C. Alvord Jr., J. D. Murray. “A Three-Dimensional Quantitative Model for Brain Tumor (Glioma) Growth and Invasion,” Annual Meeting of the Society for Industrial and Applied Mathematics (Puerto Rico), July 2000
K. R. Swanson, L. True, J. D. Murray. “A Quantitative Model for Prostate Specific Antigen (PSA) as a Marker of Tumor Growth,” Annual Meeting of the Society for Industrial and Applied Mathematics (Puerto Rico), July 2000
K. R. Swanson, J. Gottman, J. D. Murray. “The Mathematics of Marriage: Using Modeling to Determine Marital Stability,” Annual Meeting of the Society for Industrial and Applied Mathematics (Puerto Rico), July 2000
K. R. Swanson, E. C. Alvord Jr.. “A 3D Quantitative Model for Brain Tumor Growth and Invasion: Correlations Between the Model and Clinical Behavior,” International Workshop on Brain Tumor Modeling (Scotland), June 2001
K. R. Swanson, E. C. Alvord Jr.. “Correlations of a 3D Quantitative Model for Brain Tumor Growth and Invasion with Clinical Behavior,” Cancer Modeling Workshop (Corsica), 2001
K. R. Swanson, E. C. Alvord Jr.. “A 3D Quantitative Model for Brain Tumor Growth and Invasion: Correlations Between the Model and Clinical Behavior,” Neuro-Oncology, 3(4):323, 2001
K. R. Swanson, L. D. True, J. D. Murray, D. Lin, R. Vessella. “The Dynamics of Prostate Specific Antigen (PSA) as a Marker of Cancerous Growth,” Annual Meeting of the Society for Mathematical Biology (Hilo, Hawaii), July 2001
K. R. Swanson, E. C. Alvord Jr.. “Can a Three-Dimensional Model for Brain Tumor Growth and Invasion Predict Clinical Behavior in Real Patients?” Annual Meeting of the Society for Mathematical Biology (Hilo, Hawaii), July 2001
K. R. Swanson, E. C. Alvord Jr.. “Correlations of a 3D Quantitative Model for Brain Tumor Growth and Invasion with Clinical Behavior,” Cancer Modeling Workshop (Corsica, France), September 2001
K. R. Swanson, J. D. Murray, E. C. Alvord Jr.. “Combining Radiological Observations with a Three-Dimensional Model to Predict Behavior of Brain Tumors in Real Patients,” SIAM Life Sciences and Imaging Sciences Conference (Boston), March 2002
E. Mandonnet, P. Broët, K. R. Swanson, A. Carpentier, J.Y. Delattre, L. Capelle. “Linear Growth of Mean Tumor Diameter in Low Grade Gliomas”, Neurology, 58 (7): A13-A13 Suppl. 3 APR 9 2002
K. R. Swanson, E. Mandonnet, E. C. Alvord Jr., J.Y. Delattre, L. Capelle, P. Broët, A. Carpentier. “Linear Radial Growth of Gliomas: A Mathematical Analysis of Clinical Data,” European Society of Mathematical and Theoretical Biology (Milan, Italy), July 2002
K. R. Swanson, E. C. Alvord, Jr., R. Rostomily. “3D Quantitative Modeling of Glioma Growth and Invasion: Predictions of Survival Time from Imaging Characteristics,” European Society of Mathematical and Theoretical Biology (Milan, Italy), July 2002
K. R. Swanson, E. C. Alvord, Jr. “A Biomathematical and Pathological Analysis of an Untreated Glioblastoma,” Neuropathology 2002 (Helsinki, Finland), July 2002
K. R. Swanson, E. C. Alvord, Jr. “The Concept of Gliomas as a Traveling Wave: The Application of a Mathematical Model to High- and Low-Grade Gliomas,” Canadian Journal of Neurological Sciences, 29(4):395, November 2002 Platform Presention at the Canadian Association of Neuropathology Annual Meeting (Vancouver, BC), October 2002
K. R. Swanson, E. C. Alvord, Jr. “Serial Imaging Observations and Postmortem Examination of an Untreated Glioblastoma: A Traveling Wave of Glioma Growth and Invasion,” Society for Neuro-Oncology Annual Meeting (San Diego), November 2002
M. Muzi, K. R. Swanson, A. M. Spence, J. M. Link, S. C. Shoner, C. M. Vernon, D. A. Mankoff, K. A. Krohn. “Initial Assessment of an Acetate model for Membrane Biosynthesis in Glioma Patients,” Society for Nuclear Medicine (New Orleans), June 2003 - Journal of Nuclear Medicine 44 (5): 786 Suppl. S MAY 2003
E.C. Alvord Jr., K. R. Swanson, J. D. Murray. “How to Improve the Diagnosis of Gliomas”, American Association of Neuropathologists (Orlando), June 2003 - Journal of Neuropathology and Experimental Neurology 62 (5): 129 MAY 2003
K. R. Swanson, E. C. Alvord, Jr.: “The Contribution of Net Proliferation and Invasion in the Development of Successful Treatment for Gliomas”, Annual Meeting of the Society for Mathematical Biology (Dundee, Scotland), August 2003 – Platform Presentation
K. R. Swanson, R. Rostomily, E. C. Alvord, Jr. “Confirmation of a theoretical model describing the relative contributions of net growth and dispersal in individual infiltrating gliomas”, Canadian Journal of the Neurological Science, In Press, 2003 Platform presentation at the Annual Meeting of the Canadian Association of Neuropathology (Kingston, Ontario), October 2003
K. R. Swanson, E. C. Alvord, Jr. “Interpreting the Dynamics of Tumor Recurrence Following Radical Resection Through a Theoretical Model for Glioma Growth and Invasion”, Society for Neuro-Oncology (Keystone, CO), November 2003
A. M. Spence, M. Muzi, K. A. Krohn,K. R. Swanson, J. M. Link, S. C. Schoner, C. M. Vernon, D. A. Mankoff. “Initial assessment of 1-[C-11]acetate PET imaging of membrane biosynthesis as a measure of growth in glioma-bearing patients”, AACR-NCI-EORTC International Conference (Boston, Massachusetts), November 2003 - Clinical Cancer Research 9 (16): 6254S-6254S Part 2 Suppl. S DEC 1 2003
C. A. Bridge, E. C. Alvord Jr., K. R. Swanson. “ Validation of a Mathematical Model for Brain Tumor Growth and Invasion: Serial Followup of an Untreated Glioma”, American Association for the Advancement of Science (Seattle, WA), February 2004
H. L. P. Harpold, A. Lai, E. C. Alvord Jr., K. R. Swanson. “Interpreting Serial Magnetic Resonance Imaging (MRI) of a Treated Glioblastoma: A Quantitative Modeling Perspective”, American Association for the Advancement of Science (Seattle, WA), February 2004
K. R. Swanson, E. C. Alvord Jr. “Growth of Glioblastomas Predicted from Diagnostic MRIs”, Growth & Death in the CNS International Conference (St. Moritz, Switzerland), March 2004
A. M. Spence, M. Muzi, J. R. Grierson,K. R. Swanson, J. M. Link, D. A. Mankoff, F. O’Sullivan, S. Minoshima, K. A. Krohn. “Initial assessment of [18F]3’deoxy-3’-fluorothymidine (FLT) for PET imaging of DNA synthesis in glioma patients”, 51st Annual Mtg of Society for Nuclear Medicine (Philadelphia, PA), June 2004
K. R. Swanson, M. Muzi, A. M. Spence, J. G. Rajendran, J. R. Grierson, K. A. Krohn. “Imaging Glioma Patients with F-MISO and MRI Provides Distinct Information in the Assessment of Radiation Therapy”, 51st Annual Mtg of Society for Nuclear Medicine (Philadelphia, PA), June 2004
K. R. Swanson, M. Muzi, A. M. Spence, J. G. Rajendran, J. R. Grierson, K. A. Krohn. Concordance of FMISO-PET and MR Imaging Abnormalities in Glioma Patients. Society for Neuro-Oncology (Toronto, Canada), November 2004 - Neuro-Oncology 6 (4): 368-369 OCT 2004
K. R. Swanson, H. Harpold, S. Nissen, C. Bridge, A. Lai, T. Cloughesy, E. C. Alvord, Jr. Monitoring the Effects of Treatment in Glioblastomas: Integrating Mathematical Modeling with Clinical Imaging. Society for Neuro-Oncology (Toronto, Canada), November 2004 - Neuro-Oncology, 6(4):369, 2004
K. R. Swanson, H. Harpold, M. Muzi, A. M. Spence, J.G. Rajendran, K. A. Krohn. Concordance of FMISO and MRI Imaging Abnormalities in Malignant Gliomas. AACR Molecular Targets and Cancer Therapeutics: Discovery,Biology,and Clinical Applications, November 2005 - Clinical Cancer Research 11 (24): 9130S-9130S Part 2 Suppl. S DEC 15 2005
A. M. Spence, M. Muzi, J. Grierson, K. R. Swanson, J. Link, D. A. Mankoff, F. O’Sullivan, K. A. Krohn. [18F]3 ‘ deoxy-3 ‘-flurothymidine (FLT) for PET imaging DNA synthesis in glioma patients. AACR Molecular Targets and Cancer Therapeutics: Discovery,Biology,and Clinical Applications, November 2005 - Clinical Cancer Research 11 (24): 9130S-9130S Part 2 Suppl. S, DEC 15 2005
H. Harpold, A. R. A. Anderson, E. C. Alvord Jr., K. R. Swanson. In Silico Model Integrating the Angiogenic Cascade Accurately Simulates Low and High-Grade Human Gliomas. AACR Annual Meeting, April 2006
K. R. Swanson, H. Harpold, G. Chakraborty, C. Wang, M. Muzi, A. M. Spence, K. A. Krohn. Discordance of FMISO-PET and MRI Regions in Malignant Gliomas. 52nd Annual Meeting of the Society for Nuclear Medicine, June 2006
A. M. Spence, M. Muzi, K. R. Swanson, J. K, Rockhill, J.G. Rajendran, T. C. Adamsen, D. L. Silbergeld, R. C. Rostomily, J. A. Scharnhorst, K. A. Krohn. Hypoxia Assessed with [F-18]-Fluormisonidazole (FMISO) PET Before Radiotherapy (RT) in Malignant Glioma Patients. 52nd Annual Meeting of the Society for Nuclear Medicine, June 2006
K. R. Swanson. Mathematical Modeling in Clinical Oncology, SIAM Conference on the Life Sciences, August 2006
H. Harpold, A. R. A. Anderson, E. C. Alvord Jr., K. R. Swanson. In Silico Model Integrating the Angiogenic Cascade Accurately Simulates Low and High-Grade Human Gliomas. International Congress on Neuropathology, September 2006. Brain Pathology 16: S4-S4 007 Suppl. 1 SEP 2006
K. R. Swanson, E. C. Alvord Jr. Quantifying the Behavior of Gliomas: Comparing Theoretical Predictions with Actual Patient Observations. International Congress on Neuropathology, September 2006. Brain Pathology 16: S39-S39 085 Suppl. 1 SEP 2006
H. L. P. Harpold, A. R. A. Anderson, E. C. Alvord Jr., K. R. Swanson. Simulating low- and high-grade human gliomas: An in silico model integrating the angiogenic cascade. Society for Neuro-Oncology, Neuro-Oncology 8 (4): 493-493 OCT 2006
A. M. Spence, M. Muzi, K. R. Swanson, J. K. Rockhill, J. G. Rajendran, T. Ch. Adamsen, J. M. Link, J. D. Scharnhorst, K. A. Krohn: Hypoxia assessed in malignant gliomas with [F-18]-fluoromisonidazole (FMISO) PET before and after radiotherapy (RT). 18th EORTC-NCI-AACR Symposium on Molecular Targets and Cancer Therapeutics, Prague, Czech Republic, November 7-10, 2006. Eur J Cancer 4:161, 2006.
K. R. Swanson, R. Rockne, J. K. Rockhill, E. C. Alvord Jr. Mathematical modeling of radiotherapy in individual glioma patients: quantifying and predicting response to radiation therapy. AACR Annual Meeting, 2007
K. R. Swanson, G. Chakraborty, R. Rockne, C. Wang, D. L. Peacock, M. Muzi, E. C. Alvord Jr., K. Krohn, A. M. Spence. A Mathematical Model for Glioma Growth and Invasion Links Biological Aggressiveness Assessed by MRI with Hypoxia Assessed by FMISO-PET. 53nd Annual Meeting of the Society for Nuclear Medicine (Platform Presentation), June 2007 - J Nucl Med. 2007; 48 (Supplement 2):151P
A. M. Spence, M. Muzi, K. R. Swanson, J. K. Rockhill, J. G. Rajendran, T. Ch. Adamsen, J. M. Link, J. D. Scharnhorst, D. Silbergeld, R. Rostomily, K. A. Krohn: Imaging Resistance from Hypoxia in Glioblastoma Multiforme (GM) with [F-18]-Fluromisonidazole (FMISO) PET before and after Radiotherapy(RT). 59th American Academy of Neurology Annual Meeting, 2007 –Neurology 68(12):A287 Suppl 1 Mar 20, 2007
K. R. Swanson, R. Rockne, J. K. Rockhill, E. C. Alvord Jr. Combining mathematical modeling with serial MR imaging to quantify and predict response to radiation therapy in individual glioma patients. Society for Neuro-Oncology Annual Meeting, 2007
L-E Bohman, C. Mandigo, T. Hankinson, M. Assanah, K. R. Swanson, P. Canoll, J. N. Bruce. Preoperative MRI Characteristics of Glioblastoma Multiforme: Implications for Understanding Glioma Ontogeny. Society for Neuro-Oncology Annual Meeting, 2007
E. C. Alvord, Jr, J. Claridge, A. R. A. Anderson, K. R. Swanson. Cell Kinetics Underlying Grading of Gliomas. American Association of Neuropathologists Annual Meeting, San Diego, 2008
C. Wang, D. L. Peacock, J. K. Rockhill, M. Mrugala, A. M. Spence, E. C. Alvord, Jr., K. R. Swanson. Prognostic Significance of Growth Kinetics in Glioblastoma Patients: Insights from a Novel Mathematical Modeling Approach. Society for Neuro-Oncology, Lake Las Vegas, 2008 - Neuro-Oncology 10(5): 759, 2008
R. Rockne, K. R. Swanson. Predicting efficacy of radiotherapy in individual glioma patients in vivo: a pilot study. European Society for Mathematical and Theoretical Biology Annual Meeting, Edinburgh, 2008
R. Rockne, J. L. Moore, K. R. Swanson. Three-dimensional simulation of glioma growth and response to radiation therapy: a case study. Society for Mathematical Biology Annual Meeting, Toronto, Canada, 2008
S. Massey, P. Canoll, K. R. Swanson. Parameter sensitivity investigation of a mathematical model of glioma tumorigenesis mediated by platelet-derived growth factor. Society for Mathematical Biology Annual Meeting, Toronto, Canada, 2008
K. R. Swanson, R. Rockne, J. K. Rockhill, M. Mrugala, E. C. Alvord, Jr. Patient-specific virtual controls can be used to simulate and predict response to radiation therapy in individual glioblastoma patients. World Federation of Neuro-Oncology, Yokohama, Japan, 2009 – Hoshino Award Finalist
K. R. Swanson, R. Rockne, J. K. Rockhill, M. Mrugala, E. C. Alvord, Jr. Prognostic significance of growth kinetics in newly diagnosed gioblasoma: A role for patient-specific virtual controls. World Federation of Neuro-Oncology, Yokohama, Japan, 2009
K. R. Swanson. Bridging from Anatomic Imaging to Molecular Imaging through Multi-scale Models for Brain Tumor Growth and Invasion. Society for Mathematical Biology Annual Meeting, Vancouver, Canada, 2009
K. R. Swanson. Predictive Modeling of Brain Tumor Growth and Invasion: Optimizing Treatment in Individual Patients. Society for Mathematical Biology Annual Meeting, Vancouver, Canada, 2009
G. Chakraborty, S. Gu, R. Rockne, K. R. Swanson. Predicting metabolic growth patterns from patient-specific anatomic imaging and mathematical modeling of glioblastomas. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.
S. Massey, P. Canoll, K. R. Swanson. Paracrine PDGF signaling and progression in experimental gliomas. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.
R. Rockne, K.R. Swanson. The role of delay and observation timing in assessing glioma response to radiation therapy. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.
S. Gu, G. Chakraborty, R. Rockne, K.R. Swanson. Spatiotemporal Pharmacokinetic/Pharmacodynamic Radioactive Tracer and Brain Tumor Modeling: A Method for Generating Patient-specific Simulated PET Images. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.
A. Boone, R. Rockne, M.M. Mrugala, J.K. Rockhill, E.C. Alvord Jr, K.R. Swanson. The Clinical Significance of Mathematical Models in the Treatment and Management of Gliomas: A Case Study in Translating Applied Mathematics Research into Clinically Relevant Solutions. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.
M. Szeto, R. Rockne, K.R. Swanson. Anatomic Variation in Quantitative Measures of Glioma Aggressiveness. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.
M. Simon, R. Rockne, K.R. Swanson. A comparison between volumetric and localized spatial analysis techniques for assessing model parameters. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.
R. Sodt, R. Rockne, K.R. Swanson, I. Kalet. Simulation of Anisotropic Growth of Gliomas Using Diffusion Tensor Imaging. International Conference on Mathematical Biology and Annual Meeting of the Society for Mathematical Biology, University of British Columbia, Vancouver July 2009.
A. E. Boone, R. Rockne, M. M. Mrugala, J. K. Rockhill, E. C. Alvord, Jr, K. R. Swanson. Opportunities for Personalized Treatment and Management of Malignant Gliomas:The Clinical Significance of Mathematical Models. Society for Neuro-Oncology, New Orleans, LA 2009; Neuro-Oncology 11(5):648, 2009
S. C. Massey, P. Canoll, K. R. Swanson. Modeling the effects of progenitor cell recruitment on glioma growth and progression. Society for Neuro-Oncology, New Orleans, LA 2009,Neuro-Oncology 11(5):574, 2009
A. E. Boone, R. Rockne, M. M. Mrugala, K. R. Swanson. Pre-treatment glioblastoma proliferation and invasion kinetics: A mechanism to predict pseudo progression. Society for Neuro-Oncology, 2010., Neuro-Oncology, 12(Supp 4):118, 2010
K. R. Swanson, S. Gu, G. Chakraborty, K. Champley, A. Alessio, J. Claridge, R. Rockne, M. Muzi, K. A. Krohn, A. M. Spence, E. C. Alvord, Jr, A. R. A Anderson, P. Kinahan. In Silico PET Imaging: From anatomic glioma growth dynamics to metabolic tumor activity via bio-mathematical modeling. Society for Neuro-Oncology, 2010, Neuro-Oncology, 12(Supp 4):118, 2010
R. Rockne, J. K. Rockhill, M. Mrugala, K. R. Swanson. Predicting spatial patterns of tumor recurrence following radiation therapy: a hybrid clinical imaging and mathematical modeling approach. Society for Neuro-Oncology, 2010, Neuro-Oncology, 12(Supp 4):111, 2010
S. Massey, R. Rockne, P. Canoll, K. R. Swanson. In silico glioma model reveals that environmentally targeted therapies may be more effective at altering disease kinetics. Society for Neuro-Oncology, 2010, Neuro-Oncology, 12(Supp 4):25, 2010
S. Ivkovic, C. Beadle, S. C. Massey, K. R. Swanson, P. Canoll, S. S. Rosenfeld. Direct inhibition of non-muscle myosin II effectively blocks glioma invasion in the presence of multiple motogens. Neuro-Oncology, 12(Supp 4):4, 2010
K. R. Swanson, A. E. Boone, R. Rockne, M. M. Mrugala. Predicting pseudoprogression in glioblastoma patients: A mathematical and clinical perspective. European Society of Mathematical and Theoretical Biology
R. Rockne, S. Massey, M. Mrugala, A. R. A. Anderson, K. R. Swanson. Response to anti-angiogenic therapy in human brain tumors: the role of the microenvironment and heterogeneity. European Society of Mathematical and Theoretical Biology
K. R. Swanson, S. Gu, G. Chakraborty, K. Champley, A. Alessio, R. Rockne, M. Muzi, K. A. Krohn, P. Kinahan. Predictive simulation of patient-specific [18F]FMISO-PET: Integrating imaging with predictive mathematical models of the tumor microenvironment. Annual Meeting of the Society for Nuclear Medicine – Platform Presentation
C. H. Holdsworth, D. Corwin, R. D. Stewart, R. Rockne, K. R. Swanson, M. Phillips. Biologically Optimized 4D Dose Distributions for the Treatment of Incurable Glioblastoma. Annual Meeting of American Association of Physicists in Medicine
R. Rockne, J. K. Rockhill, M. Mrugala, K. R. Swanson. Patient-specific virtual radiation oncology: predicting and quantifying treatment response in individual glioblastoma patients. Annual Meeting of American Association of Physicists in Medicine
R. Rockne, J. K. Rockhill, M. Mrugala, K. R. Swanson. Patient-specific virtual radiation oncology: novel metrics of response provide a means to stratify patients within a single RTOG RPA class Annual Meeting of the American Association of Cancer Research
K. R. Swanson, R. Rockne, C. H. Holdsworth, D. Corwin, R. D. Stewart, M. H. Phillips. Improving Treatment Response by Designing Patient-Specific Optimized Radiation Therapy Dose Distributions Informed by Glioma Proliferation and Invasion Kinetics: A Case Study. Annual Meeting of the Radiological Society of North America