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Poster Sessions<br />

2182. The Effect of Fiber Affinity on Predicted Cancer Cell Migration Based on MR-DTI<br />

Anitha Priya Krishnan 1 , Delphine Davis 2,3 , Paul Okunieff 3 , Walter G. O'Dell, 1,3<br />

1 Biomedical Engineering, University of Rochester, Rochester, NY, United States; 2 Imaging Sciences, University of Rochester,<br />

Rochester, NY, United States; 3 Radiation Oncology, University of Rochester, Rochester, NY, United States<br />

The current methods for determining the treatment margin for Stereotactic Radiotherapy of gliomas are inadequate as recurrences often occur at the<br />

boundary of the treatment margin. We developed a random walk model to determine the microscopic spread of tumor cells to facilitate in the development of<br />

anisotropic treatment margins. In this study we have shown that the affinity of cancer cells to fibers in the brain can be modeled better by the spread in the<br />

direction of migration about the Principal Diffusion Direction determined using DTI than by using a variable step-size in the random walk of cancer cells.<br />

2183. Correlating DTI-Based Cancer Cell Migration Model Predictions with the Location of Secondary<br />

Tumors<br />

Anitha Priya Krishnan 1 , Delphine Davis 2 , Paul Okunieff 3 , Walter G. O'Dell 3<br />

1 Biomedical Engineering, University of Rochester, Rochester, NY, United States; 2 Imaging Sciences, University of Rochester,<br />

Rochester, NY, United States; 3 Radiation Oncology, University of Rochester, Rochester, NY, United States<br />

The current methods for determining the treatment margins for stereotactic radiotherapy of gliomas is inadequate as the tumor often recurs at the boundary<br />

of the treatment margin. The areas of high normalized cell migration predicted by our random walk model coincide with the direction along which the tumor<br />

recurs. Here we have established that there is a statistically significant correlation between the model predictions and the recurrence site and the average<br />

normalized cell concentration in the recurrence site is higher than the normalized cell concentration in 78% of the voxels on a surface equidistant from the<br />

primary tumor surface.<br />

2184. Decreased Cerebral Oxygen Extraction Fraction (OEF) Measured by MR QBOLD Following<br />

Stereotactic Radiosurgery (SRS) in Patients with Metastatic Brain Tumors<br />

Parinaz Massoumazdeh 1 , Xiang He 1 , Sarah Jost 2 , Keith Rich 3 , Dmitriy Yablonskiy 1 , Tammie Benzinger 4<br />

1 Mallinckrodt Institute of Radiology, Washington University in Saint Louis; 2 Swedish Hospital, Seattle, WA, United States;<br />

3 Neurosurgery, Washington University in Saint Louis; 4 Mallinckrodt Institute of Radiology, Washington University in Saint Louis, St.<br />

Louis, MO, United States<br />

There is growing evidence that solid organ tumors with ability to grow in hypoxic conditions demonstrate resistance to conventional chemotherapy and<br />

radiation therapy. Here, we used MR qBOLD technique to measure the OEF of metastatic brain tumors before and after SRS. In this population, OEF of<br />

both the tumors and peritumoral edema prior to SRS was elevated. Following SRS, OEF decreased in the areas of lesions. This suggests that qBOLD OEF<br />

may provide a new method to monitor brain tumor response to therapy.<br />

2185. A Comparison of Signal Intensity & DCE-MRI Based Methods for Assessing Enhancing Fraction<br />

Samantha Jane Mills 1,2 , Gerard Thompson 1 , Giovanni Buonacorrsi 1 , Geoff James Parker 1 , Alan Jackson 1,2<br />

1 Imaging Science and Biomedical Engineering, University of Manchester, Manchester, United Kingdom; 2 Department of<br />

Neuroradiology, Salford Royal Foundation Trust Hospital, Salford, Greater Manchester, United Kingdom<br />

The established technique for measuring Enhancing Fraction utilises the initial area under the concentration curve derived from a DCE-MRI acquisition.<br />

This can be time consuming and requires complex post processing analysis. This study examines the feasibility of obtaining an measure of Enhancing<br />

Fraction from conventional, pre and post contrast T1weighted imaging and compares this to the established DCE-MRI derived technique. The two methods<br />

show good correlation but are not directly interchangeable methods of measuring Enhancing Fraction.<br />

2186. Simultaneous Resting State FMRI and FET-PET<br />

Irene Neuner 1,2 , Joachim Bernhard Maria Kaffanke 1 , Cornelius Werner 1,2 , Martina Reske 1,3 , Karl-Joseph<br />

Langen 1 , Hans Herzog 1 , N. Jon Shah 1,2<br />

1 Institute of Neurosciences and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich GmbH, 52425 Juelich, Germany;<br />

2 Faculty of Medicine, Department of Neurology, RWTH Aachen University, 52074 Aachen, Germany; 3 Department of Psychiatry,<br />

University of California San Diego, San Diego, CA, United States<br />

For the planning of surgical intervention in human brain tumour cases, it is important to know if critical brain areas might be affected by the surgical process<br />

itself. PET imaging using radiolabelled amino acids is a valuable technique for the diagnosis of cerebral gliomas. O-(2-[18F]Fluorethyl)-L-Tyrosin (FET) is<br />

a well established amino acid tracer that delivers information about tumour extent, the optimal biopsy site and detection of tumour recurrences. In this study,<br />

FET-PET and BOLD-fMRI data were acquired simultaneously; data from a representative human brain tumour case are presented. In contrast to task-based<br />

functional studies, resting state fMRI offers the opportunity to detect a variety of cortical networks in a single experiment.<br />

2187. Multi-Layer Appearance of Abscess Capsule on Post-Gd SWI Images: Effects of Filtering and Phase<br />

Mask<br />

Ping-Hong Lai 1,2 , Hing-Chiu Chang 3,4 , Hsiao-Wen Chung 4<br />

1 Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; 2 School of Medicine, National Yang-Ming<br />

University, Taipei, Taiwan; 3 Applied Science Laboratory, GE Healthcare Taiwan, Taipei, Taiwan; 4 Institute of Biomedical Electronics<br />

and Bioinformatics, National Taiwan University, Taipei, Taiwan<br />

SWI is a novel MR technique that exploits the magnetic susceptibility differences of various tissues, such as venous structure and iron deposition. When<br />

SWI was applied to patients with abscess, we found that, compared with homogeneous rim-enhancement on post-contrast magnitude images, the capsular<br />

portion of pyogenic brain abscess on post-contrast SWI images showed a multi-layer appearance. In this work, in order to clarify whether this multi-layer<br />

characteristic is physiological or technical in it origin, we investigate the causes of this multi-layer appearance, and use a theoretical model to simulate the<br />

multi-layer appearance upon the use of different SWI processing parameters.

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