Dedicated Drained Liver Volume Measurement after Percutaneous Biliary Drain Placement: A Personalized Three-Dimensional Volumetry Model

Authors

Ryan P. Kempen, The University of Texas MD Anderson Cancer CenterFollow
Brayden Mi, The University of Texas MD Anderson Cancer CenterFollow
Koustav Pal, The University of Texas MD Anderson Cancer CenterFollow
Iwan Paolucci, The University of Texas MD Anderson Cancer CenterFollow
David T. Fuentes, The University of Texas MD Anderson Cancer CenterFollow
Ethan Y. Lin, The University of Texas MD Anderson Cancer CenterFollow
Alda L. Tam, The University of Texas MD Anderson Cancer CenterFollow

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Description

We trained an nnU-Net machine learning algorithm to auto-segment abdominal CT scans to construct a personalized three-dimensional model of liver, tumor, and biliary anatomy. As a proof-of-concept, we applied our nnU-Net model to verify liver volume drainage territory in cases of low level obstructions with a liver drainage volume of 100%.

Program Affiliation

Medical Students Summer in Oncology at Anderson Research

DOI

https://doi.org/10.52519/00153

Publication Date

Summer 7-26-2024

Keywords

malignancy, hyperbilirubinemia, bile duct obstruction, biliary drainage

Recommended Citation

Kempen, Ryan P.; Mi, Brayden; Pal, Koustav; Paolucci, Iwan; Fuentes, David T.; Lin, Ethan Y.; and Tam, Alda L., "Dedicated Drained Liver Volume Measurement after Percutaneous Biliary Drain Placement: A Personalized Three-Dimensional Volumetry Model" (2024). Students Summer in Oncology at Anderson Research (SOAR). 14.
doi:https://doi.org/10.52519/00153