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Positron Emission Tomography of Schwannomas: Emphasizing Its Potential in Preoperative Planning

Sylvain Beaulieu1, Brian Rubin2, David Djang1, Ernest Conrad3, Eric Turcotte1 and Janet F. Eary1

1 Department of Radiology, Division of Nuclear Medicine, Box 356113, University of Washington Medical Center, 1959 NE Pacific St., Seattle, WA 98195.
2 Department of Pathology, Box 356100, University of Washington Medical Center, Seattle, WA 98195.
3 Department of Orthopedics, Box 356500, University of Washington Medical Center, Seattle, WA 98195.



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Fig. 1A. 42-year-old man with schwannoma (patient 2 in Table 1). Photomicrographs of this schwannoma show typical features with areas of varying cellularity, thick-walled blood vessels, and Verocay body formation. (x200) This image shows low cellularity of schwannoma.

 


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Fig. 1B. 42-year-old man with schwannoma (patient 2 in Table 1). Photomicrographs of this schwannoma show typical features with areas of varying cellularity, thick-walled blood vessels, and Verocay body formation. (x200) This image shows dense cellularity of schwannoma and that schwannoma has thick-walled vessels and Verocay bodies.

 


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Fig. 2. FDG positron emission tomography image of 23-year-old woman (patient 4 in Table 1) shows schwannomas (arrows) with high tumor-to-background ratio. One other focus of increased uptake of FDG (arrowhead) in the epigastric area was suspected but unproven to be schwannoma.

 


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Fig. 3. FDG positron emission tomography image of 69-year-old woman (patient 5 in Table 1) shows smaller schwannoma (arrow) in left leg with high tumor-to-background ratio and homogeneous FDG uptake pattern.

 


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Fig. 4. FDG positron emission tomography image of 56-year-old man (patient 7 in Table 1) shows large schwannoma (arrow) in right retroperitoneum with high tumor-to-background ratio and heterogeneous FDG uptake pattern.

 


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Fig. 5. Graph shows that mean maximum standard uptake value (SUVmax) of FDG for relatively hypocellular tumors is significantly lower than that for more hypercellular tumors (p = 0.010). SD = standard deviation, {square} = mean SUVmax.

 

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