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

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) 2024. 14.
doi:https://doi.org/10.52519/00153

Keywords

Malignancy; Hyperbilirubinemia; Bile Duct Obstruction; Biliary Drainage