New Publication featured in MedicalPhysicsWeb Forbes: Cancer treatment with computers. It is with great sorrow that we mourn the passing of our beloved colleague, friend and mentor, Ellsworth (Buster) Alvord, MD., 1923-2010. Dr. Swanson and Rita Sodt featured in UWeek article

Welcome to the Swanson Lab

About Us

We specialize in the mathematical modeling of pathological biosystems – specifically, primary brain tumors known as gliomas. We are currently working on several collaborative projects utilizing both clinical and experimental imaging techniques such as MRI and PET.

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Current Research

Virtual FMISO-PET Manuscript Published (May 12, 2011)

2011 AACR Webcast (May 10, 2011)

IDH1 manuscript downloaded over 500 times! (May 3, 2011)

Latest News

Quantifying the role of angiogenesis in malignant progression of gliomas

New manuscript published in Cancer Research E-pub ahead of print

Cancer Research 2011 Sep 7.

Quantifying the role of angiogenesis in malignant progression of gliomas:

In silico modeling integrates imaging and histology.

Swanson KR, Rockne RC, Claridge J, Chaplain MA, Alvord EC Jr, Anderson AR.

Although commonly attributed to molecular-genetic factors such as the accumulation of genetic mutation, this study combines mathematical modeling with experimental and clinical data for human gliomas to suggest that changes in cell kinetics are not necessary to generate the imaging and histological features of malignant progression seen in vivo. Model predictions are validated against imaging and histological data for 3 GBM patients.

Written on October 20, 2011

NIH R01 “UVIC” Grant Award

Untreated Virtual Imaging Control (UVIC)

funded by the National Institutes of Health (www.nih.gov).

The UVIC grant proposal integrates mathematical modeling of tumor proliferation and invasion with advanced cancer imaging methods. The goals of our project are twofold:

1) To impact current clinical challenges with treatment of gliomas

2) provide tools for the development of new therapies for these challenging cancers.

Our first goal is to develop image-based response metrics based on the growth kinetics of each patient’s tumor, as seen on both anatomical imaging (MR) and functional imaging (PET and advanced MR). We will use mathematical modeling to develop a patient-specific UVIC that quantifies the dynamics of each patient’s tumor system. We will then test the UVIC model against a  novel set of paired PET and MR images at multiple time-points (five on average) for each of 20 glioblastoma patients.

The overall goal of this project is to extend the UVIC model to the early response assessment of individual patients in clinical trials. This will provide a tool for the development of much-needed therapies that are more effective for gliomas.

The core investigators include

Kristin Swanson – University of Washington

Paul Kinahan - Image Research Lab (IRL) University of Washington

Written on October 19, 2011

2011 Lab Photo

2011 Swanson Lab
2011 Swanson Lab

From Left to right: Jordan Lange, Sunyoung Ahn, Susan Massey, Anne Baldock, Maxwell Neal, Andrea Hawkins-Daarud, Tyler Rockhill, Kristin R. Swanson, Joshua Jacobs, Theresa Kurtz, Tyler Cloke, Chantal Murthy, David Corwin, Kellie Fontes, Evan Leon, Greg Sterin, Russ Rockne, Maciej M. Mrugala, Michael Fisher, April Baldock, Aaron Nash, Rita Sodt

Not pictured: Kevin Yagle, Addie Boone, Andrew Trister, Shokouh Pardahktim, Jennifer Beers, Kirsten Fagnan, Jessica Cunningham

For a grand total of N = 29 lab members!

Written on August 6, 2011

Dr. Swanson named James D. Murray Endowed Chair

Dr. Swanson was recently named the James D. Murray Endowed Chair of Applied Mathematics in Neuropathology (effective January 2011) in recognition of her continued and pioneering work in patient-specific mathematical neuro-oncology.

This endowed chair is part of the Alvord Brain Tumor Center. The center’s mission is to fuel collaborative basic, translational and clinical research into brain tumors and neurologic complications of cancer. Our shared goal is to advance knowledge of brain tumor biology and to use this new knowledge to improve the care of patients with brain tumors.

Written on May 31, 2011


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