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KMID : 0861420100140010101
Korean Journal of Nuclear Medicine Technology
2010 Volume.14 No. 1 p.101 ~ p.104
Usefulness of Flow Composite Image in Raynaud Scan (201Tl)
Kim Dae-Yeon

Shin Gyoo-Seul
Oh Eun-Jung
Kim Geun-Jae
Abstract
Purpose:Raynaud scan is divided to flow, blood pool and local-delay image. Usually, we evaluate comparison
through blood pool and local-delay image. We will evaluate about usability when comparative observe blood image and local-delay image in Raynaud scan that used 201Tl as making flow image to one sheet of images.

Materials and Methods: We have selected 29 Raynaud phenomenon patients aged 14~68 years who visited department of vascular surgery between Feb. 2008 and Aug. 2009. An intravenous injection 201Tl of 111 MBq (3 mCi) to opposite side diagonal line limbs above an internal auditing department. Equipment used Philips gamma camera forte A-Z, and collimator used LEHR. Matrix size set up to each 64¡¿64, 128¡¿128, 256¡¿256 and zoom factor used to full field. Protocol of dynamic is 2 second to 155 frames. Blood pool and delay count to 300 second. We set up ROI by a foundation to data acquired in PEGASYS processing program. Each results were analyzed with the SPSS 12.0 statistical software.

Results:Each averages of count ratio (Rt / Lt) to have been given at composite image, a blood pool image, delay images analyzed at Raynaud phenomenon patients is 1.25¡¾0.39, 1.20¡¾0.33, 1.11¡¾0.17. The sample analysis results of blood pool image and delay image contented itself with p<0.029. Also, there don¡¯t have been each difference, and blood pool image, delay image regarding composite image was able to know.

Conclusion:We were able to give help for comparison to evaluate a blood pool image and a local delay image at the Raynaud scan which used 201Tl while making a flow image to one sheet image. Identification to be visual too was possible. If you are proceeded a researcher that there was further depth, you are more appropriate for, and you may get useful information.
KEYWORD
Raynaud¡¯s phenomenon, Raynaud scan, Composite image
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