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J Nucl Med. 2008; 49 (Supplement 1):423P
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Technologist Abstracts

Technologist Posters

Application of independent SPECT and CT fusion images for estimation of postoperative hepatic function

Hiroyuki Sugimori1, Noriyuki Shuke2, Junichi Sato1, Takahiro Uno1, Atsutaka Okizaki2 and Tamio Aburano2

1 Radiological Technology, Asahikawa Medical College Hospital, Asahikawa, Japan; ; 2 Radiology, Asahikawa Medical College Hospital, Asahikawa, Japan

2114

Objectives: Prediction of postoperative hepatic function is one of the most important information for hepatic resection. The purpose of this study was to estimate postoperative hepatic function using independent 99mTc-DTPA-galactosyl-human serum albumin (99mTc-GSA) dynamic SPECT and contrast-enhanced hepatic dynamic CT fusion images.

Methods: We investigated 20 patients who examined both 99mTc-dynamic SPECT and contrast-enhanced hepatic dynamic CT within two weeks. All patients were scheduled hepatic resection. Dynamic SPECT was performed continuous 20 rotations with 1min per rotation after 99mTc-GSA injection. In this method, hepatic 99mTc-GSA clearance images calculated form Dynamic SPECT and portal phase images of dynamic CT were selected. We defined resection segment on CT images according to Couinaud’s classification. Moreover, we estimated postoperative hepatic function using fusion images obtained from 99mTc-GSA clearance images and CT with external markers. This estimation was performed three times, with and without fusion images independently. We calculated coefficient of variation (CV) of clearance to evaluate the reproducibility of this new method.

Results: The CVs with and without fusion images were 1.84% and 4.71%, respectively. Estimated hepatic clearance with fusion images was higher reproducibility (P<0.001).

Conclusions: There was statistical significant difference between with and without fusion images. Therefore, independent SPECT and CT fusion images were useful for simulating postoperative hepatic function because of this method indicated residual hepatic segmentation.





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Right arrow Articles by Sugimori, H.
Right arrow Articles by Aburano, T.
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Right arrow Articles by Sugimori, H.
Right arrow Articles by Aburano, T.