A03-KB105 Postoperative Prediction of Pulmonary Resection Based on Multidisciplinary Computational Anatomy Model by Integrating the Temporal Responses and Biomechanical Functions

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Member

  • Primary Investigator
    Xian Chen (Yamaguchi University, Graduate School of Sciences and Technology for Innovation, Professor)
  • Co-Researcher
    Kazuhiro Ueda (Yamaguchi University, University Hospital, Lecturer)
    Yasushi Hirano (Yamaguchi University, Graduate School of Sciences and Technology for Innovation, Associate Professor)


Overview

Preoperative prediction of the compensatory growth of the residual lung after lung cancer resection is required, since such compensatory growth has a great influence on postoperative pulmonary function. On the other hand, recent researches have revealed biomechanical effects on the compensatory growth. In this study, biomechanical simulation is performed based on medical images before and after lung cancer resection to elucidate the relationship between biomechanical state in the lung and clinical observation such as morphological change of lung. The goal is to predict postoperative compensatory growth of the residual lung based on preoperative anatomical information by integrating biomechanical functions into lung anatomical model along time axis.

Project Design

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