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Liver Planning Software Accurately Predicts Postoperative Liver Volume and Measures Early Regeneration

Authors :
Mithat Gonen
Logan W. Clements
Amber L. Simpson
Prashanth Dumpuri
Alan W. Hemming
Michael I. D’Angelica
James D. Stefansic
Ivan Zendejas
William R. Jarnagin
Michael I. Miga
David A. Geller
Source :
Journal of the American College of Surgeons. 219:199-207
Publication Year :
2014
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2014.

Abstract

Background Postoperative or remnant liver volume (RLV) after hepatic resection is a critical predictor of perioperative outcomes. This study investigates whether the accuracy of liver surgical planning software for predicting postoperative RLV and assessing early regeneration. Study Design Patients eligible for hepatic resection were approached for participation in the study from June 2008 to 2010. All patients underwent cross-sectional imaging (CT or MRI) before and early after resection. Planned remnant liver volume (pRLV) (based on the planned resection on the preoperative scan) and postoperative actual remnant liver volume (aRLV) (determined from early postoperative scan) were measured using Scout Liver software (Pathfinder Therapeutics Inc.). Differences between pRLV and aRLV were analyzed, controlling for timing of postoperative imaging. Measured total liver volume (TLV) was compared with standard equations for calculating volume. Results Sixty-six patients were enrolled in the study from June 2008 to June 2010 at 3 treatment centers. Correlation was found between pRLV and aRLV ( r = 0.941; p r = 0.953; p Conclusions Preoperative virtual planning of future liver remnant accurately predicts postoperative volume after hepatic resection. Early postoperative liver regeneration is measureable on imaging beginning at 5 days after surgery. Measuring TLV directly from CT scans rather than calculating based on equations accounts for extremes in TLV.

Details

ISSN :
10727515
Volume :
219
Database :
OpenAIRE
Journal :
Journal of the American College of Surgeons
Accession number :
edsair.doi.dedup.....43ddb3e318c367e1c7e96cb2608b416b
Full Text :
https://doi.org/10.1016/j.jamcollsurg.2014.02.027