RSNA 2014 

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

Participants

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

TEACHING POINTS

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

TABLE OF CONTENTS/OUTLINE

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.  

PDF UPLOAD

http://abstract.rsna.org/uploads/2014/14000409/14000409_w2w9.pdf

Cite This Abstract

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