Abstract Archives of the RSNA, 2014
GIE227
Optimal Imaging Method of Preoperative 3DCT for Malignant Liver Tumors
Education Exhibits
Presented in 2014
Certificate of Merit
Kouhei Harada RT, Presenter: Research Consultant, Nemoto Kyorindo Co, Ltd
Syuichi Honma RT, Abstract Co-Author: Nothing to Disclose
Ayaka Chiba, Abstract Co-Author: Nothing to Disclose
Yoshiya Oohashi, Abstract Co-Author: Nothing to Disclose
Tatsuya Imai, Abstract Co-Author: Nothing to Disclose
Masamitsu Hatakenaka MD, PhD, Abstract Co-Author: Research Grant, Toshiba Corporation
Toru Mizuguchi, Abstract Co-Author: Nothing to Disclose
Koichi Hirata MD, Abstract Co-Author: Nothing to Disclose
Demonstrate the necessity of preoperative 3DCT simulation
Advantages/disadvantages of the scanning method
Description of methods using clinical data for creating 3D fusion images necessary for preoperative simulation
Necessity of 3DCT
Providing required preoperative information for simulation
Automatic liver area classification using workstations
Liver volume analysis
Optimal Scan Conditions
Determining optimal scan timing for hepatectomy
Optimal contrast media volume
Noise reduction using iterative reconstruction
Benefits of 3D images for preoperative simulation
Providing accurate tumors and vessel locations
Liver resection line determination
Remnant liver volume measurement
Summary: Technical innovations in workstations have made it possible to generate important images before liver surgery. Workstations provide advance information including residual liver volume prediction, precise vascular anatomy, and depiction of accurate liver sections/segments to prevent postoperative liver failure and other surgical complications. The optimal conditions using contrast media and image capture timing are important for obtaining appropriate SD images. All planned processes and conditions are necessary to create informative 3D images to simulate potential liver surgery approaches.
http://abstract.rsna.org/uploads/2014/14000409/14000409_w2w9.pdf
Harada, K,
Honma, S,
Chiba, A,
Oohashi, Y,
Imai, T,
Hatakenaka, M,
Mizuguchi, T,
Hirata, K,
Optimal Imaging Method of Preoperative 3DCT for Malignant Liver Tumors. Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL.
http://archive.rsna.org/2014/14000409.html