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Semiautomated MIP Images Created Directly on 16-Section Multidetector CT Console for Evaluation of Living Renal Donors¹

¹ From the Departments of Radiology (A.K.S., D.V.S., C.R.K., S.P.K.) and Surgery (N.E., T.K.), Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270, Boston, MA 02114; and Department of FCT Engineering, GE Healthcare, Belmont, Mass (M.C.J.). D.V.S has received Research Grant support from GE Healthcare and has a consultant agreement with Bracco Diagnostics. Received May 24, 2006; revision requested July 24; revision received September 6; accepted October 12; final version accepted January 3, 2007. Address correspondence to D.V.S. (e-mail: dsahani{at}partners.org).

Institutional Review Board approval was obtained and informed consent was waived for this HIPAA-compliant study. The aim of this study was to retrospectively compare the accuracy of semiautomated maximum intensity projection (MIP) images created at a 16-section multidetector CT console with three-dimensional (3D)–workstation-generated images for the definition of renal donor anatomy, with intraoperative findings as a reference standard. In examining 40 renal donors (21 men and 19 women; age range, 24–56 years; mean age, 40.4 years), the sensitivity and accuracy for mapping donor anatomy by two readers were greater than 95%, interobserver agreement was excellent ( = 0.89–1.00). The 95% confidence interval for sensitivity was also calculated. Simple MIPs compared well with 3D–workstation images. MIPs from a predesigned protocol on the scanner console were generated more quickly than similar images from 3D workstations; postprocessing demands (eg, for renal donors) can be quickly fulfilled at the scanner console itself. The average time to generate simple MIPs at the console was 3.4 minutes (range, 1.7–4.4 minutes), and 22.3 minutes (range, 15–30 minutes) to create images at the 3D workstation.

© RSNA, 2007