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, = mean SUVmax.
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Copyright © 2004 by the American Roentgen Ray Society.