Volume 7, Issue 6 pp. 1146-1152
Clinical Note
Full Access

Volume MRI and MRSI techniques for the quantitation of treatment response in brain tumors: Presentation of a detailed case study

Sarah J. Nelson PhD

Corresponding Author

Sarah J. Nelson PhD

Department of Radiology, Box 1290, University of California, San Francisco, CA 94143

Department of Radiology, Box 1290, University of California, San Francisco, CA 94143Search for more papers by this author
Stephen Huhn MD

Stephen Huhn MD

Department of Neurological Surgery, Box 1290, University of California, San Francisco, CA 94143

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Daniel B. Vigneron PhD

Daniel B. Vigneron PhD

Department of Radiology, Box 1290, University of California, San Francisco, CA 94143

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Mark R. Day PhD

Mark R. Day PhD

Department of Radiology, Box 1290, University of California, San Francisco, CA 94143

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Lawrence L. Wald PhD

Lawrence L. Wald PhD

Department of Radiology, Box 1290, University of California, San Francisco, CA 94143

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Michael Prados MD

Michael Prados MD

Department of Neurological Surgery, Box 1290, University of California, San Francisco, CA 94143

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Susan Chang MD

Susan Chang MD

Department of Neurological Surgery, Box 1290, University of California, San Francisco, CA 94143

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Philip H. Gutin MD

Philip H. Gutin MD

Department of Neurological Surgery, Box 1290, University of California, San Francisco, CA 94143

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Penny K. Sneed MD

Penny K. Sneed MD

Department of Radiation Oncology, Box 1290, University of California, San Francisco, CA 94143

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Lynn Verhey PhD

Lynn Verhey PhD

Department of Radiation Oncology, Box 1290, University of California, San Francisco, CA 94143

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Randall A. Hawkins MD

Randall A. Hawkins MD

Department of Radiology, Box 1290, University of California, San Francisco, CA 94143

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William P. Dillon MD

William P. Dillon MD

Department of Radiology, Box 1290, University of California, San Francisco, CA 94143

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First published: 17 November 2005
Citations: 57

Abstract

Patients with primary brain tumors may be considered for several different treatments during the course of their disease. Assessments of disease progression and response to therapy are typically performed by visual interpretation of serial MRI examinations. Although such examinations provide useful morphologic information, they are unable to reliably distinguish active tumor from radiation necrosis. This poses a particular problem in the assessment of response to localized radiation therapies such as gamma knife radiosurgery. In this paper, we present methodology for evaluating changes in tissue morphology and metabolism based on serial volumetric MRI and magnetic resonance spectroscopic imaging (MRSI) examinations. Registration and quantitative analysis of these data provide measurements of the temporal and spatial distributions of gadolinium enhancement and of N-acetylasparate, choline, creatine, and lactate/lipid. The key features of this approach and the potential clinical benefits are illustrated by a detailed analysis of six serial MRI/MRSI examinations and three serial 1-[F-18] fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) studies on a patient with a recurrent anaplastic astrocytoma.

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