Semi-automated computed tomography Volumetry can predict hemihepatectomy specimens' volumes in patients with hepatic malignancy.

Philipp MayerMartin GrözingerTheresa MokryPeter SchemmerNina WaldburgerHans-Ulrich KauczorMiriam KlaussChristof-Matthias Sommer

Published in: BMC medical imaging (2019)

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.

Keyphrases

patients undergoing
computed tomography
positron emission tomography
machine learning
magnetic resonance imaging
high throughput
deep learning
liver metastases
contrast enhanced