Multiscale mechanobiology modeling for surgery assessment

查看全文 作　　者：M. [1]Garbey;B. L. [2]Bass;S. [3]Berceli 机构地区：[1]Dept. of Computer Science, University of Houston, USA The Methodist Institute for Technology,Innovation and Education Houston, TX, USA;[2]Dept. of Surgery, The Methodist Hospital, Houston, TX, USA The Methodist Institute for Technology,Innovation and Education Houston, TX, USA;[3]Dept. of Surgery, University of Florida 出　　处：《Acta Mechanica Sinica》索引2012年第28卷第4期,共17页 基　　金：supported by the Bookout Endowed Chair of Professor Barbara Bass MD;the Partner University Funds, the Atlantis Program;NIH under the contract R01HL095508-01 摘　　要：This paper discusses some of the concept of mod-eling surgery outcome. It is also an attempt to offer a roadmap for progress. This paper may serve as a common groundof discussion for both communities i.e surgeons and com-putational scientist in its broadest sense. Predicting surgeryoutcome is a very difficult task. All patients are different,and multiple factors such as genetic, or environment con-ditions plays a role. The difficulty is to construct modelsthat are complex enough to address some of these significantmultiscale elements and simple enough to be used in clini-cal conditions and calibrated on patient data. We will pro-vide a multilevel progressive approach inspired by two ap-plications in surgery that we have been working on. One isabout vein graft adaptation after a transplantation, the otheris the recovery of cosmesis outcome after a breast lumpec-tomy. This work, that is still very much in progress, mayteach us some lessons. We are convinced that the digital rev-olution that is transforming the working environment of thesurgeon makes closer collaboration between surgeons andcomputational scientist unavoidable. We believe that 'com-putational surgery' will allow the community to develop pre-dictive model of the surgery outcome and greatprogresses insurgery procedures that goes far beyond the operating roomprocedural aspect. 关 键 词：外科手术 多尺度力学 预测模型 生物学 计算机科学家 评估 应用程序 静脉移植