TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
TRADITIONAL POSTER - ismrm
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Poster Sessions<br />
conventional (XRT+cytotoxic) or adjuvant anti-angiogenic therapy. A decrease in vascularization was observed early in adjuvant anti-angiogenic therapy.<br />
Progression-free survival status of patients receiving anti-angiogenic therapy may be dominated by an initial change in leakage, while PFS of patients<br />
receiving conventional therapy is not. This work highlights the need for further functional imaging techniques for the evaluation of response.<br />
2171. Parametric Response Map as an Imaging Biomarker to Distinguish Progression from<br />
Pseudoprogression in High Grade Gliomas<br />
Christina Tsien 1 , Craig J. Galban 1 , Thomas L. Chenevert 1 , Timothy D. Johnson 1 , Daniel A. Hamstra 1 , Pia<br />
C. Sundgren 1 , Larry Junck 1 , Charles R. Meyer 1 , Alnawaz Rehemtulla 1 , Theodore Lawrence 1 , Brian D.<br />
Ross 1<br />
1 University of Michigan, Ann Arbor, MI, United States<br />
We have developed a reliable method for distinguishing true progression from pseudoprogression by quantifying on a voxel-wise basis therapeuticassociated<br />
hemodynamic alterations in patients with high grade glioma. The parametric response map of rCBV (PRM rCBV ) at week 3 during chemoradiation<br />
is shown to be a potential early imaging biomarker of response that may be helpful in distinguishing pseudoprogression from true progression in patients<br />
with high grade glioma.<br />
2172. Quantitative Metrics Derived from DCE MRI as a Biomarker for Early Response to Radiation<br />
Therapy in Brain Metastases<br />
Yue Cao 1 , Felix Y. Feng, Diana Gomez-Hassan 2 , James A. Hayman, Theodore S. Lawrence, Christina I.<br />
Tsien<br />
1 Radiology and Radiation Oncology, University of Michigan, Ann Arbor, MI, United States; 2 Radiology, University of Michigan, Ann<br />
Arbor, MI, United States<br />
The response of metastatic lesions to whole brain radiation therapy (WBRT) is highly heterogeneous. In this study, we evaluated quantitative metrics<br />
derived from DCE MRI for early assessment of response of brain metastatic lesions to WBRT. We found that changes in vascular volume and perfusion at<br />
the completion of WBRT differentiated responsive lesions from non-responsive ones. These DCE metrics have the potential for early prediction of<br />
treatment response in brain metastases. This requires further validation, but may provide a means for individualizing therapy in patients with brain<br />
metastases by selecting patients requiring treatment intensification with stereotactic RT.<br />
2173. Dynamic Contrast Enhanced and Susceptibility Based CBV Measurements Perform Equally in<br />
Grading of Cerebral Gliomas<br />
Muftah Ahmed Manita 1 , Paul Morgan 2 , Keith Robson 3 , Timothy Jaspan 3 , Dorothee P. Auer 1<br />
1 Academic Radiology, University of Nottingham, Nottingham, United Kingdom; 2 Radiology & Radiological Science, Medical<br />
University of South Carolina, United States; 3 Nottingham University Hospital, United Kingdom<br />
Perfusion MRI DSC (T2*) has shown added values in glioma tumour differentiation with rCBVmax is the best performing metrics obtained from dynamic<br />
susceptibility contrast technique (DSC). However, this technique is susceptible to blood leak that results in rCBV overestimation. T1 MRI perfusion (DCE)<br />
is not susceptible to vascular disruption. Nineteen patients with low and high grade glioma underwent MR perfusion (T1 and T2*) was analysed with Java<br />
image software. Significant difference (P=0.000) with excellent correlation (0.81) between the two tumour grades in both techniques with accuracy of 100%.<br />
T1 based DCE is robust technique to follow postoperative cases.<br />
2174. Enhancing Fraction and Survival in Glioblastoma Multiforme<br />
Samantha Jane Mills 1,2 , Calvin Soh 2 , Gerard Thompson 1 , Giovanni Buonaccorsi 1 , Catherine McBain 3 , Sha<br />
Zhao 1 , Geoff James Martin Parker 1 , Alan Jackson 1,2<br />
1 Imaging Science and Biomedical Engineering, University of Manchester, Manchester, Greater Manchester, United Kingdom;<br />
2 Department of Neuroradiology, Salford Royal Foundation Trust Hospital, Salford, Greater Manchester, United Kingdom;<br />
3 Department of Clinical Oncology, Christie Hospital, Manchester, Greater Manchester, United Kingdom<br />
This study describes the relationship between the DCE-MRI derived measure, Enhancing Fraction, and overall survival in patients with Glioblastoma<br />
Multiforme, with the findings of increased survival in association with elevated Enhancing Fraction.<br />
Imaging of Brain Tumors: Techniques & Contrast Media<br />
Hall B Tuesday 13:30-15:30<br />
2175. Delta T1 Method: An Automatic Post-Contrast ROI Selection Technique for Brain Tumors<br />
Devyani Bedekar 1,2 , Todd Jensen 3 , Scott Rand 1,4 , Mark Malkin, 2,5 , Jennifer Connelly, 2,5 , Kathleen<br />
Schmainda, 2,6<br />
1 Radiology, Medical College of Wisconsin, Milwaukee, WI, United States; 2 Translational Brain Tumor Research Program, Medical<br />
College of Wisconsin, Milwaukee, WI, United States; 3 Imaging Biometrics, Milwaukee, WI, United States; 4 Translational Brain<br />
Tumor Research Program, Medical College of Wisconsin, Milwaukee, WI, United States; 5 Neurology, Medical College of Wisconsin,<br />
Milwaukee, WI, United States; 6 Radiology & Biophysics, Medical College of Wisconsin, Milwaukee, WI, United States<br />
The primary approach to monitoring patients with brain tumors is to obtain pre and post-contrast T1-weighted images. Bright areas on the pre-contrast<br />
images are suggestive of blood products, which may be a result or treatment, and are therefore not to be considered as enhancing lesions on the post-contrast<br />
images. However, the difference between the brightness that exists on both the post and pre-contrast images can be quite subtle, a condition that is occurring<br />
more frequently now with the increasing use of anti-angiogenic agents. Therefore it is becoming increasingly difficult to monitor patients with brain tumors<br />
simply by visually comparing differences in enhancement. As a solution in this report we propose an automatic method, the delta T1 method (dTM), which