title: Semi-automated computed tomography Volumetry can predict hemihepatectomy specimens’ volumes in patients with hepatic malignancy
creator: Mayer, Philipp
creator: Grözinger, Martin
creator: Mokry, Theresa
creator: Schemmer, Peter
creator: Waldburger, Nina
creator: Kauczor, Hans-Ulrich
creator: Klauss, Miriam
creator: Sommer, Christof-Matthias
subject: ddc-610
subject: 610 Medical sciences Medicine
description: Background: One of the major causes of perioperative mortality of patients undergoing major hepatic resections is post-hepatectomy liver failure (PHLF). For preoperative appraisal of the risk of PHLF it is important to accurately predict resectate volume and future liver remnant volume (FLRV). The objective of our study is to prospectively evaluate the accuracy of hemihepatectomy resectate volumes that are determined by computed tomography volumetry (CTV) when compared with intraoperatively measured volumes and weights as gold standard in patients undergoing hemihepatectomy.    Methods: Twenty four patients (13 women, 11 men) scheduled for hemihepatectomy due to histologically proven primary or secondary hepatic malignancies were included in our study. CTV was performed using a semi-automated module (S, hereinafter) (syngo.CT Liver Analysis VA30, Siemens Healthcare, Germany). Conversion factors between CT volumes on the one side and intraoperative volumes and weights on the other side were calculated using the method of least squares. Absolute and relative disagreements between CT volumes and intraoperative volumes were determined.    Results: A conversion factor of c = 0.906 most precisely predicted intraoperative volumes of exsanguinated hemihepatectomy specimens from CT volumes in all patients with mean absolute and relative disagreements between CT volumes and intraoperative volumes of 57 ml and 6.3%. The use of operation-specific conversion factors yielded even better results.    Conclusions: CTV performed with S accurately predicts intraoperative volumes of hemihepatectomy specimens when applying conversion factors which compensate for exsanguination. This allows to precisely estimate the FLRV and thus minimize the risk of PHLF in patients undergoing major hepatic resections.
publisher: BioMed Central
date: 2019
type: Article
type: info:eu-repo/semantics/article
type: NonPeerReviewed
format: application/pdf
identifier: https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/26144/1/12880_2019_Article_309.pdf
identifier: DOI:
identifier: urn:nbn:de:bsz:16-heidok-261444
identifier:   Mayer, Philipp ; Grözinger, Martin ; Mokry, Theresa ; Schemmer, Peter ; Waldburger, Nina ; Kauczor, Hans-Ulrich ; Klauss, Miriam ; Sommer, Christof-Matthias  (2019) Semi-automated computed tomography Volumetry can predict hemihepatectomy specimens’ volumes in patients with hepatic malignancy.  BMC Medical Imaging, 19 (20).  pp. 1-11.  ISSN 1471-2342     
relation: https://archiv.ub.uni-heidelberg.de/volltextserver/26144/
rights: info:eu-repo/semantics/openAccess
rights: Please see front page of the work (Sorry, Dublin Core plugin does not recognise license id)
language: eng